Europaudvalget 2017
KOM (2017) 0090
Offentligt
1728563_0001.png
EUROPEAN
COMMISSION
Brussels, 28.2.2017
SWD(2017) 82 final/2
CORRIGENDUM
This document corrects SWD(2017) 82 final linked to COM(2017) 90 final of 22.2.2017.
Concerns the EN and HU language versions.
Corrections on pages 4, 11, 43 and 46.
The text shall read as follows:
COMMISSION STAFF WORKING DOCUMENT
Country Report Hungary 2017
Accompanying the document
COMMUNICATION FROM THE COMMISSION TO THE EUROPEAN
PARLIAMENT, THE COUNCIL, THE EUROPEAN CENTRAL BANK AND THE
EUROGROUP
2017 European Semester: Assessment of progress on structural reforms,
prevention and correction of macroeconomic imbalances, and results of in-depth reviews
under Regulation (EU) No 1176/2011
{COM(2017) 90 final}
{SWD(2017) 67 final to SWD(2017) 93 final}
EN
EN
kom (2017) 0090 - Ingen titel
CONTENTS
Executive summary
1.
2.
3.
Economic situation and outlook
Progress with country-specific recommendations
Reform priorities
3.1.
3.2.
3.3.
3.4.
3.5.
3.6.
Public finances
Financial sector
Labour market, education and social policies
Investment
Sectoral policies
Public administration
1
4
11
14
14
18
21
26
31
34
A.
B.
C.
Overview Table
MIP Scoreboard
Standard Tables
38
43
44
References
49
LIST OF TABLES
1.1.
2.1.
3.2.1.
B.1.
C.1.
C.2.
C.3.
C.4.
C.5.
Key economic, financial & social indicators — Hungary
Summary Table in 2016 CSR assessment
Financial soundness indicators, all banks
The MIP scoreboard for Hungary
Financial market indicators
Labour market and social indicators
Labour market and social indicators (continued)
Product market performance and policy indicators
Green growth
10
12
18
43
44
45
46
47
48
LIST OF GRAPHS
1.1.
1.2.
1.3.
Contributions to real GDP growth
Export market shares
Unit labour cost developments in Hungary
4
4
5
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1.4.
1.5.
1.6.
1.7.
1.8.
1.9.
1.10.
3.1.1.
3.1.2.
3.2.1.
3.2.2.
3.2.3.
3.2.4.
3.3.1.
3.3.2.
3.4.1.
3.4.2.
3.4.3.
3.5.1.
3.5.2.
Contributions to HICP inflation
Activity, employment and unemployment
Decomposition of credit flows
Net lending / borrowing by institutional sector
Per capita GDP in PPP terms
Average annual rate of real convergence
Contributions to potential growth
Tax wedge of a single worker earning 67% of average wage
Gross government debt ratio: the baseline scenario and alternative trajectories
Non-performing loans, 90-day+ ratios
Net NPLs to own funds (%)
Growth rate of outstanding loans
Lending conditions in the corporate sector
Relative dispersion of employment rates by education level, 2010, 2014 and 2015
Main poverty indicators, 2005-2015
Private and public investment in HU and the EU
Investment volumes, index 2008=100
Greenfield FDI inflows into Hungary
The evolution of R&D intensity by sectors
Performance of Hungarian SMEs in selected innovation indicators – measured in standard
deviations (EU average=0)
5
6
7
7
8
8
8
15
16
18
18
19
19
21
23
26
26
27
31
31
34
3.6.1.
Hungary: Quality of institutional performance - 2005-2015
LIST OF BOXES
1.1.
2.1.
3.2.1.
3.4.1.
3.4.2.
3.6.1.
The minimum wage increase and tax reform
Contribution of the EU budget to structural change in Hungary
House price developments
Hungary's weak post-crisis productivity growth hinders competitiveness
Investment challenges and reforms in Hungary
Selected highlights
9
13
20
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EXECUTIVE SUMMARY
This report assesses Hungary’s economy in the
light of the European Commission’s Annual
Growth Survey published on 16 November 2016.
In the survey the Commission calls on EU Member
States to redouble their efforts on the three
elements of the virtuous triangle of economic
policy — boosting investment, pursuing structural
reforms and ensuring responsible fiscal policies. In
so doing, Member States should focus on
enhancing social fairness in order to deliver more
inclusive growth.
The performance of the Hungarian economy
remains solid, increasingly driven by domestic
demand.
Real GDP has surpassed its pre-crisis
peak. Potential growth however still remains a full
percentage point lower than before the crisis,
despite the recovery in recent years. In 2016, GDP
is estimated to have increased by 1.9 %, supported
by strengthening private consumption and net
exports. A temporary decline in EU-funded
investment reduced growth in 2016, but continuing
support from private consumption, a gradual
recovery in EU-funded investment, and expansive
fiscal policy is likely to accelerate growth to
around 3.5 % as of 2017. Higher energy prices and
significant minimum wage increases are expected
to push up inflation towards the central bank’s
target rate of 3.0 % by the end of 2018.
The labour market situation continues to
improve, but with growing signs of tightening.
Unemployment fell below its pre-crisis level,
despite a rapidly increasing activity rate. Long-
term unemployment also fell. The supply of labour
rose, due to restrictive policies on social transfers,
early retirement and increasing statutory retirement
age. Owing to the increasing activity rate, labour
has become a positive contributor to the potential
growth rate despite population ageing. However,
shortages of both skilled and unskilled workers
have emerged in various sectors and companies
find it increasingly difficult to fill vacancies.
After a significant drop in 2016, investment is
forecast to recover progressively.
The
considerable investment growth in 2013-2014
came to a halt as EU-funded investment
temporarily subsided. In addition, private
investment is hampered by still-cautious lending
activity and frequent changes to the regulatory and
tax environment. Factors adversely affecting the
business environment are linked particularly to
weaknesses in institutional performance and
governance. An increase in productive investment,
especially in equipment and machinery, would
help increase productivity and improve
competitiveness.
Lending to the private sector is improving, but
credit growth remains modest.
While banks’
lending capacity is close to a historical high, their
willingness to lend remains limited, especially to
the corporate sector. Lending is also dampened by
their sizeable amount of non-performing loans.
The central bank launched various schemes to
promote lending to small firms, which picked up
significantly in 2016. Lending to households also
improved in 2016, as the new government housing
support scheme and growing property prices
started to spur households’ borrowing. However,
overall credit growth is not yet strong enough to
support economic growth.
Fiscal policy has been prudent but the fiscal
stance is expected to loosen, posing a risk for a
medium-term debt reduction.
The budget deficit
decreased to a historical low of 1.6 % of GDP in
2015, but is forecast to rebound. The headline
deficit is expected to have reached 1.8 % of GDP
in 2016 and projected to rise further to 2.4 % in
2017 and 2.5 % in 2018, due to planned measures
such as tax cuts and spending increases. Since its
peak in 2011, the public debt ratio has declined
continuously, helping improve Hungary’s financial
stability. However, in the absence of fiscal
adjustment, the deterioration of the structural
balance may jeopardise the goal of steadily
reducing debt in the medium term.
Overall, Hungary has made limited progress in
addressing
the
2016
country-specific
recommendations.
Some progress has been made
in reducing the tax wedge for low-income earners,
but progress in reducing sector-specific taxes and
improving transparency and competition in public
procurement has been limited. The latter is to a
large extent due to a delay in the development and
implementation of e-procurement. Some progress
has been made in facilitating the transition from
the public works scheme to the primary labour
market and reinforcing other active labour market
policies. Limited progress has also been made in
improving the adequacy and coverage of social
and unemployment benefits; and educational
outcomes and participation by disadvantaged
1
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Executive summary
groups, in particular
mainstream education.
Roma,
in
inclusive
Regarding the progress on reaching the national
targets under the Europe 2020 Strategy, Hungary is
performing well in reducing greenhouse gas
emissions, increasing renewable energy, tertiary
education and the employment rate; while more
effort is needed to increase R&D expenditure and
reduce early school leaving and poverty.
The main findings of the analysis in this report,
and the related policy challenges, are as follows:
External balances continued to strengthen
both in terms of stocks and flows.
Net
external liabilities declined from 116 % of
GDP in 2009 to 61 % by 2015, and the ratio is
estimated to have declined further in 2016. The
economy has been rebalanced by maintaining
large current and capital account surpluses,
which reflect private sector debt reduction and
a sizeable inflow of EU funds. The
improvement in the external balance continued
despite a pick-up in domestic demand, showing
the strength of the underlying adjustment.
Internal financial balances have also
strengthened further.
Hungary entered the
crisis burdened with a relatively high level of
private sector debt, mostly denominated in
foreign currencies. The biggest systemic risk
from this foreign currency exposure was
removed by converting households’ foreign
currency mortgages in recent years.
This helped reduce private sector debt from its
peak 117 % of GDP in 2009 to 83.9 % by
2015.
The banking system has also strengthened
substantially in the past two years.
The
sector’s profitability has been helped by the
improving economic environment and by a
reduction in taxes on banks. The funding
structure and capital position of Hungary’s
banks are adequate. The biggest challenges are
(i) the proper management of the decreasing
but still sizeable amount of non-performing
loans, (ii) restarting market lending, especially
the corporate segment, and (iii) moving
sustainable profitability levels towards regional
averages.
Low corporate investment is however
holding back productivity growth and
thereby competitiveness and potential
growth.
Productivity is comparatively low.
Without productivity gains, there is a risk of
Hungary becoming less competitive in the
medium term. The recent increases in
minimum wages are intended to trigger a shift
towards higher productivity jobs. Innovation is
not yet embedded in the economy reflected in
wide productivity gaps between foreign-owned
and domestic companies. Regulatory barriers in
services, including retail, tend to limit market
dynamics and hamper investment.
Recent tax measures go in the right direction
but challenges in the tax system remain.
Hungary’s total tax-to-GDP ratio remains well
above its regional peers’, though the 2017 cuts
in social security contributions and corporate
income tax have reduced the tax burden by
some 1.5 pps., improving the country’s
competitiveness. The tax wedge on labour costs
is set to decrease gradually, but remains high
for several groups, especially low-income
workers without children. Despite a declining
trend since 2013, sector-specific taxes still tend
to complicate the tax system and weaken
investor confidence. The complexity of the tax
system and associated administrative burdens
pose a continuing challenge. While there is still
room to improve the efficiency of tax
collection and tax compliance, policy efforts to
combat tax evasion and fraud have produced
tangible results.
Despite significant improvements, the
Hungarian labour market still faces
challenges.
The main active labour market
policy remains the public works scheme. The
government is strengthening efforts to reinforce
other active labour market policies. The system
of childcare services has been reformed to
tackle the persistently wide gender employment
gap and the impact of parenthood on women's
employment. Some poverty indicators have
fallen back to pre-crisis levels, but remain high
in comparison with other EU Member States.
Poverty among children and Roma has
declined, but remains at a high level and the
adequacy and coverage of social assistance and
unemployment benefits is still limited.
2
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Executive summary
Performance in providing basic skills remains
weak by international standards and the impact
of pupils’ socio-economic background on
education outcomes is one of the highest in the
EU. The concentration of disadvantaged pupils,
in particular Roma, in certain schools is
becoming more pronounced. Finally, labour
market
participation
is
affected
by
comparatively weak health outcomes and
unequal access to healthcare.
Weaknesses in institutional performance
weigh on the business climate and reduce the
growth potential of the economy.
The
unstable regulatory environment is one of the
biggest barriers to doing business in Hungary,
with insufficient stakeholder engagement and
evidence-based
policy
making.
The
transparency and predictability of the budget
process remain limited. Public procurement is
still characterised by limited competition and
transparency. Corruption risks remain high and
there are notable gaps in the measures taken to
address the issue.
3
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1.
ECONOMIC SITUATION AND OUTLOOK
until now, is expected to ease as the economy
reaches full employment.
After a significant fall in 2016, investment is
forecast to progressively recover as of 2017.
Real investment is expected to grow at around
10 % in 2017 and 5 % in 2018. This is mainly due
to an increased absorption of EU funds, improving
domestic demand prospects, increasing household
investment and several large planned investments
in the automotive sector. The low interest rate
environment and a recovery in corporate lending
are also expected to boost investment.
Reflecting improved competitiveness, net
exports boosted growth until 2016, but
strengthening import demand is projected to
gradually counterbalance this effect in 2017.
This is mainly due to the expected pick-up in
domestic demand, which will boost import growth
towards 7 %. Exports are expected to continue to
grow at a relatively stable rate, around 5.5 %.
Hungary’s export market shares grew in the last 3
years (Graph 1.2) and the country’s exporters are
expected to keep gaining market share in the near
future. However, increasing unit labour costs will
weigh on Hungary’s relative trade performance.
Graph 1.2:
Export market shares
GDP growth
Following a strong performance in 2015,
economic growth temporarily eased in
Hungary, as EU-funded investments dipped.
Stoppages in production in a major automotive
company also added to the slowdown. Overall
investment is estimated to have contracted by
9.6 % in 2016, following a 1.9 % growth in 2015.
Despite this contraction, domestic demand growth
remained dynamic, holding up GDP growth at
1.9 % in 2016, down from 3.1 % in 2015
(Graph 1.1). Private consumption grew by a robust
5.0 % supported by accelerating wage growth,
growing employment and low inflation. Trade
flows remained strong as net exports contributed
0.9 pps. to GDP in 2016. On the production side,
an exceptionally good performance by agriculture
is estimated to have generated an above-average
contribution to GDP growth.
Graph 1.1:
Contributions to real GDP growth
6
4
2
0
%, pps
-2
-4
15
10
-6
Rate of change y-o-y (%)
-8
-10
Inventories
Consumption
Real GDP growth
5
forecast
06 07 08 09 10 11 12 13 14 15 16 17 18
Investment (GFCF)
Net exports
0
-5
Source:
DG ECFIN, Winter Forecast 2016
-10
Economic growth is forecast to accelerate to
3.5 % in 2017 and 3.2 % in 2018.
The dynamic
growth in household consumption is projected to
continue. This is supported by accelerating wage
growth, consumer confidence at a post-crisis high,
further positive developments in household
lending and second-round effects following
improvements in the housing market. However,
employment growth, which boosted consumption
-15
01 02 03 04 05 06 07 08 09 10 11 12 13 14 15 16
Contribution to EMS: goods
Contribution to EMS: services
Export market share growth yoy
Source:
Eurostat
Hungary's unit labour costs (ULC) increased
considerably in 2016.
Nominal ULC grew by
5.1 % in 2016, which is 4 pps. above the EU
4
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1. Economic situation and outlook
average. This increase was mainly driven by
dynamic wage growth, but also by a slight
deterioration in productivity (Graph 1.3). Real
ULC developments, however, appear stronger as
Hungary’s real ULCs have been on a downward
trend since 2010. Nevertheless, looking forward,
real wage growth is forecast to significantly
outpace productivity. This is expected to reduce
price and cost competitiveness in the near future.
Competitiveness is discussed in more detail in
section 3.4.
Graph 1.3:
10
8
Rate of change y-o-y (%)
fiscal loosening in 2017 and 2018, mainly linked
to the minimum wage and tax reforms (Box 1.1).
Graph 1.4:
9
8
7
6
5
4
3
Contributions to HICP inflation
%
2
Unit labour cost developments in Hungary
1
0
-1
-2
forecast
Services
Processed food (incl. Alcohol and tobacco)
Unprocessed food
Energy
Non-energy industrial goods
HICP
Core inflation
6
4
2
0
-2
-4
-6
06
07
08 09 10 11 12 13 14 15
Inflation (GDP deflator growth)
Real Compensation per Employee
Productivity Contribution (negative sign)
Nominal unit labour cost
ULC in EU28
16*
Source:
Commission's calculations based on Eurostat data,
Winter Forecast 2016
Labour market
Source:
Eurostat
Inflation
Inflation remained muted in 2016, but is
forecast to gradually approach the central
bank’s medium-term target of 3 % by 2018.
Headline inflation has remained around zero since
2014 as falling energy prices fully offset limited
inflation in services and food. However, core
inflation, which excludes energy and unprocessed
food prices, remained stable at around 1.3 %.
Inflation is forecast to accelerate towards the
Hungarian central bank’s target of 3.0 % by 2018.
Price growth is expected to be broad based, as
energy prices grow again and prices of services
accelerate on the back of strong wage growth
(Graph 1.4). Gross wages are forecast to grow by
8.7 % in 2017 and by 7.5 % in 2018. As labour
shortages have already started to limit production –
mainly in industry, construction and services –
overheating risks are expected to appear,
contributing to ‘demand-pull’ inflation. These risks
are expected to be exacerbated by the projected
The Hungarian labour market has improved in
the recent years.
The unemployment rate fell
below 5 % in 2016. The employment rate has
increased significantly since the recovery started in
2013, while activity rates have been steadily
increasing since 2008 (Graph 1.5). Employment
reached 4.4 million in 2016, supported also by the
public works scheme, which employed
approximately 220 000 persons on average in
2016. Private sector job creation amounted to
around 130 000 in the same year. As a
consequence, full-time equivalent employment in
the domestic private sector has come close to the
pre-crisis level. Rates of long-term and youth
unemployment, as well as the rate of young people
out of both employment and education/training,
largely returned to their pre-crisis levels.
There are however growing indications that the
labour market is tightening.
Employment growth
is expected to slow in the coming years as labour
supply becomes more limited. There are skill
shortages in numerous sectors and it is
increasingly difficult to match both the skilled and
unskilled
labour
force
with
vacancies.
Consequently, there is a significant pressure on
5
09
10
11
12
13
14
15
16
17
18
02
03
04
05
06
07
08
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1. Economic situation and outlook
wage growth, which is another indicator of
tightening labour market.
Graph 1.5:
% of
population
63
61
59
57
55
53
10
08
06
04
02
00
services, such as education and health care,
negatively affecting in particular the Roma.
Public finances
Activity, employment and unemployment
% of labour
force
14
12
51
49
47
45
Unemployment rate (rhs)
Employment rate
Activity rate
Employment w/o PWS
(1) Activity and employment rates (% of population),
unemployment rate (% of labour force). Data available do
not allow decomposition between employment rate and
employment w/o PWS before 2011.
Source:
HCSO
The budget deficit decreased to historically low
levels in recent years, but the fiscal stance is
expected to loosen in the short term.
After
reaching 1.6 % of GDP in 2015, the headline
deficit is expected to have increased to 1.8 in 2016
and forecast to rise further to 2.4 % in 2017 and
then to 2.5 % in 2018. The country’s fiscal
situation benefits from a tax-rich recovery,
declining interest outlays, savings in social
transfers and considerable temporary revenues.
The increased fiscal leeway, however, is expected
to be more than offset by deficit-increasing
measures, including substantial tax cuts and
spending increases. As a result, the structural
deficit is estimated to deteriorate considerably,
reaching around 3 �½ % of GDP in 2017 and 2018.
The public debt ratio continued on a declining
path, helping to improve financial stability.
Following the outbreak of the financial crisis, the
government debt-to-GDP ratio increased sharply,
reaching almost 81 % in 2011. Since then, it has
decreased by more than 6 pps., falling below 75 %
by 2015. The reduction of debt was supported by
the takeover of the assets of mandatory private
pension schemes (so-called second pillar), fiscal
consolidation efforts and the subsequent economic
recovery. Although the current public debt ratio is
still well above that of regional peers, Hungary's
sovereign financing risks have receded
significantly. Looking ahead, the debt ratio is
forecast to decrease further in 2017 and 2018.
However, in the absence of fiscal measures, the
deterioration of the structural balance points puts
at risks the objective of ensuring a firmly declining
debt-reduction path, towards the debt rule
reference level of 60 % of GDP.
Financial sector
Social developments
Inequality increased during the recovery but
remains below the EU average.
The S80/S20
indicator — which compares the proportion of the
income of the richest 20% of households to that of
the poorest 20% — increased from 3.4 in 2010 to
4.3 in 2015. This is well below the EU average of
5.2. The available data indicate that inequality in
net wealth (
1
) was within the range observed in
other EU countries for which data were collected
in 2013-2014 (ECB 2016). Market income
inequality (before taxes, social transfers and
benefits are taken into account) is close to the EU
average. It is driven by increasing wage dispersion
and faster wage growth by higher earners. While
the benefit system is effective in reducing market
inequality, the introduction of a flat tax in 2011
made the tax system less progressive, which has
had a negative impact on inequality. A strong
spatial dimension also plays a role, with the
incomes of rural households at only 73 % of urban
households. This figure is well below the EU
average of 83 %. Inequality also exists in access to
(
1
) Difference between total assets and total liabilities.
06Q1
06Q3
07Q1
07Q3
08Q1
08Q3
09Q1
09Q3
10Q1
10Q3
11Q1
11Q3
12Q1
12Q3
13Q1
13Q3
14Q1
14Q3
15Q1
15Q3
16Q1
16Q3
Financial sector assets have continued to
contract, in line with further deleveraging in the
private sector.
Private debt was reduced to about
84 % of GDP in 2016, from its peak of close to
120 % of GDP in 2009. While credit flows
remained negative for households, credit growth to
non-financial corporations remained marginally
positive (including inter-company loans and loans
6
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1. Economic situation and outlook
from foreign financial institutions, Graph 1.6).
Credit growth remains limited by banks’ cautious
lending strategies, especially to the corporate
sector. The central bank launched various schemes
to promote lending to small firms, which picked up
significantly in 2016. Lending to households also
started to improve in 2016, as the new government
housing support scheme and growing property
prices started to spur households’ interest in
borrowing.
Graph 1.6:
30
25
20
15
Decomposition of credit flows
surpluses. The latter reflect private sector
deleveraging and a high inflow of EU funds. The
external adjustment was helped by Hungary’s
floating exchange rate regime, as the real
depreciation of the forint helped improve the trade
balance. Hungary’s strong net lending position
remained stable over the last 4 years, despite the
pick-up in domestic demand (Graph 1.7). Even
though EU fund inflows temporarily declined in
2016, the country’s net lending remained high (at
6 % of GDP). It is projected to remain at this level
in 2017 and 2018.
Graph 1.7:
15
Net lending / borrowing by institutional sector
% of GDP
10
5
0
-5
-10
-15
03 04 05 06 07 08 09 10 11 12 13 14 15 16
Financial corporations
Household
Non financial corporations
Government
Private sector
10
% of GDP
5
0
-5
-10
-15
05 06 07 08 09 10 11 12 13 14 15 16
Households and NPISH
Corporations
General government
Total economy
Source:
Eurostat
The financial sector has yet to fully benefit from
the improvement in macroeconomic conditions.
Some encouraging signs appeared in 2016, such as
improved profitability, strengthening capital
positions, and a decrease in non-performing loans.
A key measure for the return to profitability was a
close to 50 % reduction in the bank levy in 2016.
Improved profitability also led to strengthening
capital positions. Prompted by regulation, financial
institutions continued cleaning up their portfolios
of non-performing loans. The financial sector is
discussed in more detail in section 3.2.
External position
Source:
Eurostat
Real convergence & potential growth
Hungary’s external position has continued to
improve in terms of both stocks and flows.
Net
external liabilities declined to 61 % of GDP in
2015 (from 76 % in 2014 and the peak of 116 % in
2009). They are estimated to have declined further
in 2016. The economy was rebalanced by
maintaining high current and capital account
Despite an improving performance since 2013,
Hungary’s real convergence still lags behind
most of its regional peers
(Graphs 1.8 and 1.9).
Over a 20-year period, Hungary’s per capita GDP
in terms of purchasing-power-parity (PPP) rose
from half to two thirds of the EU average. The
country started this period as the third highest per
capita GDP among the emerging market
economies in the central-eastern European region.
By the end of the period, however, it had fallen
back to the 7
th
position. While the convergence of
most of its peers slowed after the 2008/09 crisis,
Hungary’s convergence had already decelerated
significantly before the crisis (Graph 1.9).
7
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1. Economic situation and outlook
Graph 1.8:
Per capita GDP in PPP terms
Graph 1.10:
5.0
4.0
Contributions to potential growth
100
80
3.0
% of GDP
2.0
1.0
0.0
60
40
-1.0
20
-2.0
04 05 06 07 08 09 10 11 12 13 14 15 16 17 18
Bulgaria
Baltics (EE, LV, LT)
Poland
Slovenia
Czech Republic
Hungary
Romania
Slovakia
Labour Contr.
Capital Contr.
TFP Contr.
Source:
DG ECFIN, Winter Forecast 2016
(1) PPP = purchasing power parities; calculated as the
percentage of the EU28 average.
Source:
Eurostat
Graph 1.9:
6
5
4
3
Average annual rate of real convergence
2
1
0
-1
Potential growth recovered, but similar to most
of its regional peers, it still lags behind the pre-
crisis years.
Potential growth in 2016 is estimated
at 2 %, which is more than 1 pp. below Hungary's
pre-crisis average (2000-2008). While potential
growth was driven by total factor productivity
before the crisis, this factor disappeared thereafter.
The post-crisis recovery was labour-intensive,
which is also reflected in a growing labour
contribution to potential growth. The key to
elevated potential growth lies in enhancing total
factor productivity, based on well-designed
structural policies (section 3.4).
LT EE LV RO PL SK BG HU SI CZ
1995-2015
1995-2008
2008-2015
Avg
Source:
Commission's calculation based on Eurostat data
8
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1. Economic situation and outlook
Box 1.1:
The minimum wage increase and tax reform
In November 2016, the government agreed with the social partners to increase substantially the minimum
wage and to decrease employers' social security contributions both in 2017 and 2018 (section 3). The gross
monthly minimum wage is set to increase by 15 % in 2017 from the current HUF 111 000, and by another
8% the following year. The minimum wage of skilled workers is set to increase by 25 % in 2017 from the
current HUF 129 000 and by an additional 12 % in 2018. Employers will be partly compensated for the
increased labour costs through a 5 p.p. decrease in employers' social contribution in 2017 and a further
decrease of 2-2.5 p.p. in 2018. Moreover, the corporate income tax will be cut from the current two-tier rate
of 19 % for large companies and 10 % for SMEs to a single rate of 9 % for all companies.
The measures aim at supporting economic growth via strengthened domestic demand and productivity. The
government expects the wage increase to encourage low income earners to improve their skills and
companies to improve their productivity. This would facilitate the transition of workers from low to higher-
productivity sectors. Higher domestic wages would also decrease the incentives for workers to take up a job
abroad and, in combination with the tax cuts, would boost consumption and investment. After the
announcement of the measures, the government updated its forecast for 2017-2020. The new forecast
includes the impact of the measures, but also other factors. Compared to the convergence programme, the
government now expects higher GDP growth by around 1.0 p.p. in both 2017 and 2018, lower employment
growth in 2017 by 0.3 p.p. but higher employment growth in 2018 by 0.5 p.p. (MoNE,
2016).
The official
deficit path remained unchanged, since higher wages and domestic demand are expected to generate
additional revenues which compensate for the revenue shortfall of the tax cuts. According to the central
bank’s recent inflation report the incremental effect of the minimum wage increase on private sector wages
is 2.5% in 2017, because wages would have increased at a fast pace due to the tight labour market.
According to simulations using the European Commission's QUEST model, the measures add 0.3% to GDP
in 2017 and there is no further positive growth effect in 2018. The positive growth effect comes from the
higher consumption driven by elevated wages and from higher investments. The investment is spurred by
the tax cuts. In addition the increase in minimum wages raises investment also, since it drives firms to
substitute capital for workers. While the higher investment lifts employment, the minimum wage increase,
which exceeds productivity growth, will weigh on employment and more than offset the favourable
employment effect of higher investment. Overall, the simulations suggest that the measures have a negative
net effect on employment, but it raises average labour productivity in the economy. Nominal wages and
inflation will rise and trigger a gradual tightening in monetary conditions. The set of measures are not self-
financing and without offsetting measure, would lead to budgetary deterioration. The QUEST model
excludes some channels that might generate positive economic effects. In particular, the model does not
incorporate labour migration and consequently excludes the possibility that higher domestic wages lead to a
partial reversal of outward labour migration and, hence, an increase in domestic labour supply. Furthermore,
the model does not generate skill improvement as a possible response to higher minimum wages, or
asymmetric market power of employers (monopsony) in parts of the labour market that could generate more
positive employment effects of a minimum wage.
The measures affect companies unevenly. The impact of the minimum wage increase is stronger in sectors
and companies with low labour productivity where employees are paid around the minimum wage. For such
companies, the higher labour costs resulting from the wage increases more than offset the positive impact of
the reduction in employers' contribution. The corporate income tax cut benefits predominantly large
companies, while the cut in the employers' social security contribution affects all companies. While higher
wage costs may deter foreign direct investment inflows in low-productivity sectors, the decrease in the
corporate tax rate and employers' contribution is expected to have the opposite effect. The corporate tax rate
is the lowest in the EU, and very low compared to Hungary's regional peers (19% in the Czech Republic and
Poland, 21% in Slovakia). At the same time, the overall tax burden on companies may also include sector-
specific taxes. The measures would spur wages more in the lower income categories, which reduces
inequality among wage-earners and is favourable for consumption due to the generally higher consumption
rate of low-income earners.
9
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1. Economic situation and outlook
Table 1.1:
Key economic, financial & social indicators — Hungary
2004-2008 2009
2.9
-6.6
1.3
-6.7
0.6
1.4
3.4
-8.3
14.7
-11.4
12.1
-14.7
3.0
-4.4
2.5
0.2
1.7
-0.1
1.4
-0.5
1.4
1.6
-7.3
-0.9
-0.8
0.6
-92.2
-37.8
78.7
45.6
4.7
-2.2
3.9
13.2
86.6
27.2
59.4
-1.4
24.0
0.5
-3.1
4.3
4.2
5.7
7.1
3.5
3.5
-0.7
2.1
3.1
36.1
20.4*
22.6
.
.
.
7.2
3.3
18.3
61.3
30.3
11.5
-6.4
38.0
.
64.1
-5.2
-4.0
2.6
-1.0
0.8
0.3
-0.8
4.1
1.3
1.7
-115.5
-56.1
111.4
22.4
-3.3
-0.5
3.4
6.0
117.0
37.7
79.3
4.9
24.0
0.6
-9.0
4.2
4.0
4.0
-1.3
-4.2
3.0
-1.0
-9.7
-5.3
37.8
23.8
-0.8
13.1
16.3
7.7
10.0
4.2
26.4
61.2
29.6
11.3
-4.6
39.2
.
77.8
2010
0.7
-2.7
-0.4
-9.5
11.3
10.2
-3.7
-0.1
-3.7
3.1
1.3
-0.7
0.4
0.2
0.3
5.3
0.1
1.8
-108.8
-54.1
113.8
11.8
-7.9
-3.0
3.4
-4.2
115.6
39.7
75.9
5.1
24.7
1.5
-5.9
3.1
2.3
4.7
0.6
1.8
-1.1
-3.4
-1.2
1.6
31.2
23.8
-0.3
14.1
3.7
10.9
11.2
5.5
26.4
61.9
29.9
11.9
-4.5
37.5
-3.4
80.5
2011
1.7
0.7
0.2
-1.3
6.5
4.4
-2.0
0.1
0.2
-0.4
2.0
-0.3
0.3
0.1
0.8
6.1
-1.4
2.4
-106.3
-51.4
116.9
6.6
-4.0
-1.6
4.1
-4.4
115.0
37.6
77.4
5.2
25.4
3.5
-6.9
2.2
2.2
3.9
3.1
1.7
1.4
-0.8
-0.3
-0.4
35.0
26.8
7.1
13.8
8.0
12.8
11.0
5.2
26.0
62.4
31.5
12.8
-5.5
36.9
-4.2
80.7
2012
-1.6
-2.1
-1.5
-3.0
-1.8
-3.5
-3.8
0.2
-2.0
-0.8
1.3
0.1
0.2
0.0
1.8
6.8
-1.0
2.5
-94.0
-45.8
100.5
-11.9
-10.6
-2.1
2.6
-6.0
102.0
31.7
70.3
3.6
24.5
3.0
-9.3
2.0
3.4
5.7
2.0
-1.8
3.9
0.4
-3.0
-2.2
35.1
34.5
-6.7
16.0
7.3
14.1
11.0
5.0
28.2
63.7
33.5
13.5
-2.3
38.6
-1.2
78.2
2013
2.1
0.3
4.1
9.8
4.2
4.5
-2.7
1.0
2.9
-0.8
0.0
0.5
0.5
0.0
3.8
7.0
0.8
3.6
-83.5
-37.1
88.8
-15.3
1.7
0.0
4.3
-1.0
95.5
28.1
67.4
6.8
25.7
3.1
-4.3
1.8
2.9
1.7
1.6
1.0
0.6
-2.3
-1.7
-1.4
34.5
34.5
-5.0
17.0
7.1
14.0
10.2
4.9
26.6
64.7
34.8
13.6
-2.6
38.1
-1.3
76.6
2014
4.0
2.5
4.5
9.9
9.8
10.9
-0.7
1.9
4.3
0.0
-0.2
1.0
0.8
0.1
2.0
6.9
0.7
3.8
-75.8
-33.7
86.0
-9.4
4.8
-2.7
5.7
-0.5
91.0
25.6
65.4
3.0
26.4
4.8
3.2
2.1
3.4
0.0
1.3
-0.8
2.1
-1.2
-2.5
-3.6
34.5
34.5
8.2
14.6
-15.3
14.2
7.7
3.7
20.4
67.0
31.8
12.8
-2.1
38.3
-2.0
75.7
2015
3.1
3.4
1.0
1.9
7.7
6.1
0.3
2.1
2.3
-1.0
1.8
1.1
0.8
0.3
3.2
8.9
0.7
4.5
-60.8
-24.2
75.3
-6.01
0.7
-1.6
4.3
-3.0
83.8
21.5
62.3
4.2
26.6
5.2
11.6
1.9
1.7
0.1
1.6
1.0
0.7
-1.1
-2.0
-2.0
34.5
34.5
0.6
13.8
-0.9
11.0
6.8
3.1
17.3
68.6
28.2
9.4
-1.6
39.2
-1.7
74.7
2016
1.9
5.0
2.0
-9.6
6.7
6.4
0.2
2.0
0.8
0.2
0.9
1.1
0.3
0.6
.
.
1.7
.
.
.
.
.
.
.
.
.
.
.
.
3.7
26.8
4.5
.
.
2.3
0.4
5.0
.
5.1
2.7
3.9
0.7
.
.
.
.
.
.
5.2
.
.
.
26.3
8.2
-1.8
39.0
-2.2
73.5
forecast
2017
3.5
4.8
1.0
10.0
4.9
6.8
1.4
2.3
4.5
0.0
-1.0
0.8
0.6
0.9
.
.
0.1
.
.
.
.
.
.
.
.
.
.
.
.
5.1
26.7
3.1
.
.
2.8
2.2
6.1
.
3.0
0.2
2.7
0.2
.
.
.
.
.
.
4.8
.
.
.
.
.
-2.4
37.8
-3.4
72.3
2018
3.2
3.9
2.0
5.0
5.9
6.7
2.2
2.4
3.3
0.0
-0.1
0.6
0.7
1.0
.
.
0.2
.
.
.
.
.
.
.
.
.
.
.
.
7.1
27.1
2.7
.
.
3.2
3.1
5.6
.
2.6
-0.5
0.8
.
.
.
.
.
.
.
4.5
.
.
.
.
.
-2.5
36.7
-3.6
71.2
Real GDP (y-o-y)
Private consumption (y-o-y)
Public consumption (y-o-y)
Gross fixed capital formation (y-o-y)
Exports of goods and services (y-o-y)
Imports of goods and services (y-o-y)
Output gap
Potential growth (y-o-y)
Contribution to GDP growth:
Domestic demand (y-o-y)
Inventories (y-o-y)
Net exports (y-o-y)
Contribution to potential GDP growth:
Total Labour (hours) (y-o-y)
Capital accumulation (y-o-y)
Total factor productivity (y-o-y)
Current account balance (% of GDP), balance of payments
Trade balance (% of GDP), balance of payments
Terms of trade of goods and services (y-o-y)
Capital account balance (% of GDP)
Net international investment position (% of GDP)
Net marketable external debt (% of GDP) (1)
Gross marketable external debt (% of GDP) (1)
Export performance vs. advanced countries (% change over 5 years)
Export market share, goods and services (y-o-y)
Net FDI flows (% of GDP)
Savings rate of households (net saving as percentage of net disposable income)
Private credit flow, consolidated (% of GDP)
Private sector debt, consolidated (% of GDP)
of which household debt, consolidated (% of GDP)
of which non-financial corporate debt, consolidated (% of GDP)
Corporations, net lending (+) or net borrowing (-) (% of GDP)
Corporations, gross operating surplus (% of GDP)
Households, net lending (+) or net borrowing (-) (% of GDP)
Deflated house price index (y-o-y)
Residential investment (% of GDP)
GDP deflator (y-o-y)
Harmonised index of consumer prices (HICP, y-o-y)
Nominal compensation per employee (y-o-y)
Labour productivity (real, person employed, y-o-y)
Unit labour costs (ULC, whole economy, y-o-y)
Real unit labour costs (y-o-y)
Real effective exchange rate (ULC, y-o-y)
Real effective exchange rate (HICP, y-o-y)
Tax rate for a single person earning the average wage (%)
Tax rate for a single person earning 50% of the average wage (%)
Total Financial sector liabilities, non-consolidated (y-o-y)
Tier 1 ratio (%) (2)
Return on equity (%) (3)
Gross non-performing debt (% of total debt instruments and total loans and
advances) (4)
Unemployment rate
Long-term unemployment rate (% of active population)
Youth unemployment rate (% of active population in the same age group)
Activity rate (15-64 year-olds)
People at risk of poverty or social exclusion (% total population)
Persons living in households with very low work intensity (% of total
population aged below 60)
General government balance (% of GDP)
Tax-to-GDP ratio (%)
Structural budget balance (% of GDP)
General government gross debt (% of GDP)
(1) Sum of portfolio debt instruments, other investment and reserve assets
(2,3) Domestic banking groups and stand-alone banks.
(4) Domestic banking groups and stand-alone banks, foreign (EU and non-EU) controlled subsidiaries and foreign (EU and
non-EU) controlled branches.
(*) Indicates BPM 5 and/or ESA 95
Source:
European Commission, ECB
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2.
PROGRESS WITH COUNTRY-SPECIFIC RECOMMENDATIONS
A third area of recommendations has been
centred on barriers to business.
Hungary has
received a recommendation in this area every year
since
the
European
Semester
started.
Recommendations cover several fields including
high administrative burdens; public procurement;
the legislative process; competition; a stable
regulatory environment; tax compliance costs and
supporting the SME sector. Several measures were
developed in response. For example the Funding
for Growth Scheme, a program of the Central
Bank helped SMEs by subsidised loans. Another
very successful measure was linking cash registers
online to the tax authority.
Between 2013 and 2015 Hungary received
yearly recommendations to take measures to
restore lending to the real economy.
This
included reducing burdens on banks and
decreasing state ownership in the banking sector.
In 2015, the Hungarian authorities announced their
plans to reduce the financial burden on banks. This
was emphasised in a memorandum of
understanding signed with the European Bank for
Reconstruction and Development. The government
committed itself to gradually reduce bank taxes, to
reprivatise two commercial banks recently
acquired by the Hungarian state, and to assist in
reducing non-performing loans. It also committed
to refrain from implementing new laws or
measures with potential negative impact on the
profitability of the banking sector.
Following the 2016 country report and the in-
depth review, Hungary was found to no longer
experience macroeconomic imbalances.
Hungary
was assessed to be on a balanced, albeit still
relatively moderate growth path, gradually
reducing its imbalances. External imbalances had
been significantly reduced and the public debt ratio
declined since the beginning of the decade. The
indicators of net international investment position
had rapidly improved. The country also repaid its
debt under the 2008 balance of payment assistant
programme.
Overall, Hungary has made limited progress in
addressing
the
2016
country-specific
recommendations (Table 2.1).
Some progress has
been made in reducing the tax wedge for low-
income earners, but progress in reducing sector
specific taxes and strengthening transparency and
Progress
implementing
the
2016
(
2
)
recommendations for Hungary has to be seen in
a longer term perspective (since the
introduction of the European Semester in 2011).
Over the six year period recommendations have
focused on the issues of public finances, taxation,
the labour market and the business environment.
Over the 2011-2016 period the government has
achieved
considerable
progress
with
strengthening public finances.
Structural reform
measures were included in the 2011 Convergence
Programme and further saving measures were
adopted as part of the 2012 budget. Moreover, a
new package of consolidation steps, concentrating
mainly on the revenue side, was announced in the
2012 Convergence Programme with the ambition
to attain the deficit targets in 2012 and 2013. In
June 2013, the Council of the European Union
decided to abrogate the decision on the existence
of an excessive deficit in Hungary.
Recommendations regarding labour taxation,
active labour market policies and social
assistance have been adopted every year since
2011.
In recent years the authorities have
implemented several measures to reduce the tax
wedge, especially tax credits for families and
targeted social security contribution cuts for
selected groups and have achieved some progress.
However, the Hungarian tax wedge remains high
in international comparison, especially for low
income earners.Similarly, some progress can be
observed regarding active labour market policies.
For years, the authorities' main focus was the
public works scheme with growing number of
participants; however, its efficiency was limited.
Recently the expansion of the scheme halted and
no further increase of the budgeted amount is
expected. In fact the number of the public workers
started to decline reflecting improving labour
market conditions. Further activation measures
were adopted such as the reimbursement of travel
costs. The recent increase of the minimum wage
also may further encourage public workers to enter
the open labour market. A number of programmes
have recently been launched with the support of
the European Social Fund (ESF) and the Youth
Employment Initiative (YEI). (see Section 3.3).
(
2
) Other major reforms taken are described in section 3.
11
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2. Progress with country-specific recommendations
competition in public procurement has been
limited. The latter is to a large extent due to a
delay in the development and implementation of e-
procurement. On the regulatory environment in the
services and retail sector, no progress has been
achieved. Regarding labour market, education and
social policies (CSR3), some progress has been
made in introducing incentives towards supporting
the transition from the Public Work Scheme to the
primary labour market and reinforcing other active
labour market policies. Limited progress has also
been made in improving the adequacy and
Table 2.1:
Summary Table in 2016 CSR assessment
coverage of social assistance and unemployment
benefits, as well as in increasing the participation
of disadvantaged groups, in particular Roma, in
inclusive mainstream education.
CSRs related to compliance with the Stability and
CSR1:
In view of the high risk of a significant deviation,
Growth Pact will be assessed in spring once the
achieve an annual fiscal adjustment of 0.3 % of
final data are available.
GDP towards the medium-term budgetary objective
in 2016 and of 0.6 % of GDP in 2017, unless the
medium-term budgetary objective is respected with a
lower effort, by taking the necessary structural
measures.
CSR2:
Further reduce sector-specific taxes and reduce the
tax wedge for low-income earners. Strengthen
transparency and competition in public procurement
through e-procurement, increased publication of
tenders and further improvement of the anti-
corruption framework. Improve the regulatory
environment in the services sector and in the retail
sector by addressing restrictive regulations and
ensuring predictability.
Hungary has made
limited progress
in addressing
CSR2*:
Limited progress has been made regarding sector
specific taxes.
Some progress has been made on reducing the
tax wedge of low income earners.
Limited progress has been made on
strengthening transparency and competition in
public procurement.
No progress has been made on improving the
regulatory environment in the services sector and
in the retail sector.
Hungary has been made
limited progress
in
addressing CSR3*:
Some progress has been made to facilitate the
transition from the public works scheme to the
primary labour market and reinforce other active
labour market policies.
Limited progress has been made in improving
the adequacy and coverage of social assistance
and unemployment benefits
Limited progress has been made to improve
educational outcomes and to increase the
participation of disadvantaged groups, in
particular Roma, in inclusive mainstream
education.
CSR3:
Facilitate the transition from the public works
scheme to the primary labour market and reinforce
other active labour market policies. Improve the
adequacy and coverage of social assistance and
unemployment benefits. Take measures to improve
educational outcomes and to increase the
participation of disadvantaged groups, in particular
Roma, in inclusive mainstream education.
Source:
European Commission
12
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2. Progress with country-specific recommendations
Box 2.1:
Contribution of the EU budget to structural change in Hungary
Hungary is a major beneficiary of the European Structural and Investment Funds (ESI Funds) with an
allocation of EUR 25 billion for the period 2014-2020. This is equivalent to 3.1% of GDP annually (over
2014-2017) and 39% of the expected national public investment
1
. Out of the EU financing, EUR 2.3 billion
is planned for delivery via financial instruments (a substantially higher amount than in the 2007-2013
period). By 31 December 2016, EUR 13.1 billion, which represents about 52 % of the total allocation for
ESI Funds, have already been allocated to concrete projects.
Financing under the European Fund for Strategic Investments, Horizon 2020, the Connecting Europe
Facility and other directly managed EU funds is additional to the ESI Funds. By end 2016, Hungary has
signed agreements for EUR 1 billion for projects under the Connecting Europe Facility. The EIB Group
approved financing under EFSI amounts to EUR 26 million, which is expected to trigger nearly EUR 626
million in total investments (as of end 2016). In addition to that, administrative reforms support is available
through targeted financing under the European Social Fund, advice from the Structural Reform Support
Service and, indirectly, through technical assistance.
ESI Funds helped progress on a number of structural reforms in 2015 and 2016 via ex-ante conditionalities
2
and targeted investment. Examples include targeted investments in R&D via smart specialisation by creating
a framework for constant dialogue among stakeholders; coordinating environmental investments with water
basin management plan; the development of the transport plan which facilitates the development of mature
road and railway projects; as well as the improvement of public employment services through the profiling
system, the targeting of labour market policies and the quality of education, training and health systems.
These reforms have prepared the ground for better implementation of public investment projects in general
including those financed from national sources and from other EU instruments. Fulfilment of the remaining
ExACs is on track. Only one action of the ex-ante conditionality related to public procurement is at risk of
non-fulfilment.
The relevant CSRs focusing on structural issues were taken into account when designing the 2014-2020
programmes. Funds are targeted at the modernisation of the public education system, the combatting early-
school leaving, the promotion of inclusive education and to balancing labour market mismatches through
enhancing employability of disadvantaged groups, vocational education and lifelong learning. Early
childhood care and social inclusion measures, particularly for Roma also constitute important areas for
investment. The funding will also support Hungary's efforts to improve the quality of its public
administration. To combat youth unemployment, Hungary received support from the Youth Employment
Initiative (YEI) – to date over 32 000 young people have benefitted from it. A substantial share of ESI Funds
will be devoted to ensure the sustainability of Hungary's transport infrastructure: emphasis is put on rail
investments (sub) urban connections and regional connectivity. A further development goal is the shift to a
low carbon economy, via improving energy efficiency and an increasing share of renewable energy sources.
In addition to challenges identified in the past CSRs, ESI Funds address wider structural obstacles to growth
and competitiveness and provide a financial basis for Hungary’s medium and long-term development. ESI
Funds will also help stimulate growth by investments focusing on enhanced innovation activity and the
competitiveness of enterprises, also through better access to finance. The improvement of the
competitiveness of agricultural holdings, investments in processing activities and food chain organisations,
supporting biodiversity, better soil management are also promoted. In the waste and water sectors, some
investments are still needed to make sure EU environmental requirements are fulfilled (see section 3.5).
https://cohesiondata.ec.europa.eu/countries/HU
1
National public investment is defined as gross capital formation + investment grants + national expenditure on
agriculture and fisheries.
2
Before programmes are adopted, Member States are required to comply with a number of ex-ante conditionalities, which
aim at improving framework and conditions for the majority of public investments areas. For Members States that did
not fulfil all the ex-ante conditionalities by the end 2016, the Commission has the possibility to propose the temporary
suspension of all or part of interim payments.
13
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3.
Taxation
REFORM PRIORITIES
3.1. PUBLIC FINANCES
creates regulatory unpredictability, weighing on
investor confidence.
The general corporate income tax rate was
lowered markedly from 2017 onwards, mostly
benefiting large companies.
The new tax rate of
9 % has replaced the previous scheme of 10 %,
increasing to 19 % above a particular threshold.
The reduction thus benefits mostly larger
companies, especially those that had fewer
opportunities to use the available extensive tax
allowances. The lowest corporate income tax rate
in the EU will improve Hungary's competiveness,
but could make it more attractive for tax
optimisation purposes by foreign companies. At
the same time, the overall tax regime for
companies remains complex. Sector-specific taxes
and other smaller taxes on enterprises are bigger
sources of tax revenue than the standard corporate
income tax.
The high tax wedge on labour, particularly for
low-income earners, can negatively affect the
employability of low productivity workers and
hamper investment.
In 2015, the last year with
comparable figures, Hungary belonged to the
group of countries with the highest tax burden for
several taxpayer categories. In particular, Hungary
had the highest tax wedge within the EU for single
earners earning 50 % of the average wage; the
second highest at 67 % of the average wage and
the fourth highest at the average wage.
A number of measures adopted before 2016
reduced the tax wedge for targeted groups, but
these had a limited effect on low earners
overall.
Family tax credits reduce the tax wedge
for low-earners with children. However, even for
these household types, the tax wedge remains
above the EU average, especially for families with
less than three children at low incomes. Targeted
social security allowances, introduced under the
Job Protection Act (JPA) in 2013, reduce the tax
wedge for several groups such as unskilled
workers, certain age groups or carrier starters.
However, the estimated effect of such allowances
– 3.5 pps. in 2016 for a typical beneficiary earning
67 % of the average wage – has not substantially
changed Hungary's comparative position (see
The government has introduced new reforms to
tackle the persistently high overall tax burden
in Hungary.
The total tax-to-GDP ratio hovered
around 38-39 % in recent years, which was the
highest among the country's peers at a similar level
of development. There have been marked
improvements in tax composition. The weight of
direct taxes declined significantly (by 7 pps.) over
the past ten years, along with a parallel increase in
the share of indirect taxes. This shift mainly
reflected the phasing-in of a new flat rate personal
income tax regime. Nevertheless, the tax burden
on labour income still remained substantial on
account of high social security contributions.
Systemic changes also included the introduction of
some relatively distortive forms of taxation such as
sector-specific levies. The government's most
recent tax package of November 2016 aims at
reducing the overall tax burden, while also
lowering the tax wedge on labour.
Despite some recent improvements, sector-
specific taxes still play a prominent role,
weighing on the business environment.
The
introduction of these taxes was motivated by the
goal to increase tax proceeds from areas where
profitability was perceived to be high. Revenues
from sector-specific taxes were estimated at about
1.5 % of GDP in 2016, including banking,
insurance, utilities, energy, telecommunication and
retail sectors. The decline from the peak in 2013
(close to 2 % of GDP) reflects in particular the
halving of the banking tax in 2016. However, apart
from an additional marginal decrease in taxes on
the banking sector, no further reductions in sector-
specific taxes are implemented in 2017. These
surcharges are usually based on turnover or assets
and in some cases involve progressive rates. As a
consequence, intermediate goods and services are
also part of the tax base, which results in a
distortionary effect. Given that many of the
sectorial levies could not be fully passed on to
customers, they also decrease the rate of return to
investment (Deloitte,
2015).
Even though the
magnitude of the direct distortive effects may
differ, the presence of selective extra taxes itself
14
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1728563_0018.png
3.1. Public finances
Graph 3.1.1).
Measures adopted since 2013
include the lowering of the flat personal income
tax rate by 1 pp. and the further extension of the
family tax credit.
Graph 3.1.1:
Tax wedge of a single worker earning 67% of
average wage
EU max 2015
increases in the minimum wage, the net impact of
the package is likely to be an increase in total
labour costs regarding workers at low-income
levels, at least in the short term.
Growth friendly taxes such as environmental or
property taxes play a relatively moderate role.
The tax system is already strongly reliant on
consumption taxes with the highest standard VAT
rate (27 %) in the EU. At the same time, studies
show there is potential to increase the reliance on
environmental taxes (including vehicle and
pesticides taxes or congestion charges) (Eunomia,
2016).
The effective excise rates on unleaded
petrol and diesel are among the lowest within the
EU (European
Commission, 2016a).
Finally, the
level of recurrent property taxes is also low (0.6 %
of GDP), well below the EU average. The recovery
of the property market seems to provide better
conditions for shifting taxes towards property.
The complexity of the tax system generates
important administrative and compliance costs.
The time and costs required to meet tax obligations
are higher than in most neighbouring and OECD
countries (World
Bank, 2017).
High compliance
costs weigh in particular on SMEs. The simplified
regimes KATA (small business lump sum tax) and
KIVA (small business tax) aim at reducing the
administrative burden on SMEs. The costs of
administering taxes are estimated to be ten times
higher for these firms than for larger companies
(OECD,
2016a).
The tax system includes a
multitude of small taxes generating only minimal
proceeds. Sector-specific taxes also add to the
complexity of the system. Several goods and
services are subject to more than one levy, often
using different tax bases. Tax policies are still
subject to sudden changes imposing adjustment
and transaction costs on businesses. The
government
has
recently
announced
a
comprehensive review in order to reduce the
administrative burdens of taxation and to simplify
the tax structure.
Measures to combat tax avoidance and fraud
have significantly contributed to more effective
50
40
EU mean 2015
30
20
EU min 2015
10
0
Standard case
Below 25 and above 55 years,
unskilled and agriculture
2015
2016
2017
2018
Note 1: The tax wedge is an indicator of total labour tax
burden. It is calculated as the ratio of all taxes and total
labour cost.
Note 2: Predicted average wage developments are based
on European Commission Forecast.
Note 3: EU mean is the unweighted average of EU28.
Source:
OECD and European Commission calculations.
In autumn 2016, the Government launched a
major multiannual reform package, which
reduces the tax wedge for low-wage earners as
well.
Employers' social security contributions are
set to decrease by 5 pps. in 2017, and by a further
2 pps. in 2018. For single earners at 67 % of the
average wage, the measure is estimated to reduce
the tax wedge by 2 pps. in 2017, and then by
around 1 pp. in 2018, reaching a level just above
45 %. For workers eligible for the contribution
allowances under the JPA, the reduction will be
lower as the targeted allowances were also cut in a
parallel measure. Their tax wedge is calculated to
decline from 45 % in 2016 to about 43 % by 2018
(Graph
3.1.1).
Despite the noticeable reduction,
the tax wedge for low-income earners without
children will remain considerably higher than the
EU average of 37 %. By contrast, for households
with two children, the reduction in the tax wedge is
more substantial due to an on-going increase of the
family tax credit. As a consequence, for this
household category, the tax wedge will be close to
the EU average by 2018.(
3
) With the simultaneous
(
3
) For example, the tax wedge for a single earner at 67% of
the average wage with two children is estimated to
decrease from 25.5% in 2016 to less than 21% in 2018,
only some 2 pps. above the EU-average for that category.
With eligibility for a JPA allowance, the tax wedge for the
same household type would be already somewhat below
the current EU average.
15
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3.1. Public finances
tax collection.
Recent policy initiatives such as the
introduction of online cash registers in retail and
the Electronic Public Road Trade Control System
(EKAER) have produced visible results.(
4
) The
VAT gap, which shows the magnitude of tax
avoidance, decreased sharply, by 4 pps. to 18 % in
2014, although it still remains above the EU
average (14 %) (European
Commission, 2016b).
The 2017 budget counts on sizeable yields from
curbing tax evasion with the help of additional
measures. These include a further extension of
online cashiers to services and introducing online
invoicing for inter-company transactions.
Public debt sustainability
Graph 3.1.2:
Gross government debt ratio: the baseline
scenario and alternative trajectories
90
85
% of GDP
80
75
70
65
60
55
50
11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27
No-policy change scenario without ageing costs
Convergence Programme scenario
The government debt-to-GDP ratio has been
steadily declining since the beginning of the
decade.
The pace of debt reduction received an
impetus from the takeover of mandatory private
pension assets by the State. In parallel, the primary
deficit turned to a surplus (of around 2 % of GDP
between 2012 and 2015). More recently, debt
reduction benefited also from a favourable
"snowball" effect (i.e. the combined effect of
growth rate and interest) thanks to economic
recovery and declining interest rates. The debt
ratio is expected to decrease further from 74.7 % in
2015 to around 71% by 2018. However, the
structural primary balance is forecast to move into
deficit (of -1.0 % of GDP in 2018) reflecting the
estimated widening of the positive output gap. This
poses some risk for Hungary's debt reduction path.
Public debt is still high for a middle-income
economy, but sovereign financing risks have
been considerably reduced since the crisis
years.
On the basis of the Commission's short-
term risk indicator, the country faces a low risk of
an immediate fiscal distress. This is also confirmed
by the recent upgrades of the country's sovereign
risk ratings. The maturity structure of debt has
improved. The initially high proportion of foreign
exchange-denominated public debt has been
decreasing, supported by the central bank's self-
financing programme.
(
4
) The introduction of the electric road cargo monitoring
system also created administrative burdens as regards intra-
EU trade. This highlights the trade-off between tax
collection efficiency and compliance costs.
Baseline no-policy change scenario
Source:
European Commission calculations
The debt ratio is projected not to remain on a
decreasing path in the medium term, starting to
increase again at the end of this decade.
Based
on the Commission's no-policy-change baseline
scenario, government debt is projected to rebound
to around 74.5 % of GDP by 2027, i.e. to the level
seen in 2015 (Graph 3.2). The debt trajectory
benefits from the estimated decrease in age-related
public spending reflecting the impact of recent
parametric pension reforms. However, this effect is
projected to be more than offset by the
deterioration of the underlying primary balance to
its structural level and the negative effect related to
the country's moderate potential growth coupled
with the assumed rebound of interest rates.
Overall, Hungary's medium-term debt trajectory
has flattened markedly compared to a similar
projection presented in the last year's Country
Report (European
Commission, 2016c).
Apart
from the forecast deterioration of the primary
balance, this reflects the adverse impact of the
wide positive output gap estimated for 2018, the
year serving as the initial position for the medium-
term projection (
5
). The level of the output gap,
however, is subject to considerable estimation
uncertainty. Therefore the projection results should
be treated with caution.
(
5
) With the assumed closing of the output gap and the cyclical
component, both the primary deficit and the snowball
effect are adversely affected with a negative impact on the
debt-reduction path.
16
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3.1. Public finances
The
Commission's
medium-term
debt
projection highlights the risks to the goal of
placing Hungary's public debt firmly on a
declining path.
The primary balance forecast by
the Commission on a no-policy-change basis for
2018 is significantly below the planned level in the
latest Convergence Programme (by almost 1 % of
GDP). If the fiscal trajectory remains in line with
the plans in the Convergence Program up to 2020,
the debt ratio would decrease relatively fast
towards the 60 % of GDP benchmark level (Graph
3.2).
However, there are negative risks to the
medium-term fiscal plans. Without offsetting
measures, the planned "Paks II." nuclear power
plant project is estimated to result in a considerable
debt increasing effect (European
Commission,
2015a;
Romhányi,
2014).
Unless
their
performance is improved, the expanding role of
state-owned companies, especially in the loss-
making regulated energy sector, can increase
contingent liability risks (see section 3.5).
Hungary appears to face medium level debt
sustainability risks.
The country's medium-term
sustainability gap referred to as the S1 indicator is
currently estimated at 1.5 % of GDP. This shows
the required fiscal adjustment, which would need
to be achieved during the next five years in order
to bring down the debt ratio to 60 % by 2031. At
the same time, the long-term sustainability gap S2
is at 3.3 % of GDP. This is the sufficient upfront
adjustment ensuring that the debt ratio would not
move on an ever-increasing path in the long term.
About one half of the adjustment need reflects the
projected rebound in age-related public
expenditure after 2030 (European
Commission,
2015b).
Fiscal framework
The medium-term budgetary framework has
not yet had its desired effect of making the
budgetary process more transparent and
predictable.
The medium-term framework was
adopted in 2013. A key feature of this planning
mechanism is that differences between plans and
the draft budget must be formally justified by the
government. The first medium-term resolution was
issued only in December 2015. It detailed
expenditure and revenue plans for budgetary
chapters over a two-year period. The deliberation
of the 2017 budget therefore served as a test case
for the new framework. For several budgetary
chapters, the differences between appropriations
and the respective medium-term figures were
sizeable (at 0.5 %-1 % of GDP), although this was
only four months after the publication of the
resolution. The written justifications for the
differences were often unavailable. Moreover, the
medium-term plans were not based on the most
appropriate information, since some explanations
explicitly referred to decisions taken already in
autumn 2015.
Domestic numerical rules are an imperfect
guide for budgetary policy.
While the overall
objective of debt sustainability is underpinned by
constitutional provisions, there are some design
weaknesses in the way it has been implemented
through numerical fiscal rules. The debt reduction
formula does not provide an effective constraint in
practice due to a very broad escape clause
introduced in 2015. The nominal and structural
budget balance rules are binding only for the draft
budget. However, they do not apply for the budget
law as adopted by Parliament and for the
budgetary execution stage.
The role of the Fiscal Council in scrutinizing
and shaping fiscal policies remains weak.
The
Fiscal Council has continued to increase the
number of published external studies. However,
this has not been sufficient to ensure a strong
analytical basis commensurate with the Council's
uniquely strong constitutional veto power over the
budget. The Fiscal Council focuses rather narrowly
on the budget bill and its amendments, whereas
there have been several examples of significant
fiscal decisions and policy initiatives outside the
annual budget cycle. This highlights the
importance of systematically evaluating fiscal
policies throughout the entire year.
Despite a solid fiscal performance, there are still
weaknesses in Hungary's fiscal governance
framework.
The repeated overachievement of the
deficit targets and the steady reduction of the
public debt ratio reflected conservative planning. It
also evidenced a strong policy commitment to
intervene with corrective steps in case of an
emerging slippage. The adopted improvements in
the fiscal framework, most notably strict rules of
debt control across all layers of general
government, also contributed to the observed fiscal
discipline. However, some noteworthy gaps still
remain in the fiscal framework.
17
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3.2. FINANCIAL SECTOR
The
Hungarian
banking
system
has
strengthened substantially over the past two
years
(Table 3.2.1). The funding structure and
capital position of banks are adequate. Following
several years of deleveraging, the banking system
is mainly deposit-funded – customer deposits
accounted for 57 % of the banks’ total liabilities at
the end of 2015. The loan-to-deposit ratio was
80.9 %. The full conversion of the large foreign
currency-denominated loan book (in 2014 and
2015) into Hungarian forint reduced both foreign
exchange funding needs and short term refinancing
risks.
The shock-absorption capacity of the banking
system remains strong.
Capital adequacy at
system level amounts to 20 % while Tier 1 eligible
capital represents close to 14 %. In the stress test
scenario designed by the Hungarian central bank,
banks’ solvency levels seemed sufficient both at
sector and individual bank level. Liquidity reserves
in stressed conditions are adequate, though some
banks move away from the regulatory minimum
after the theoretical shock.
Table 3.2.1:
Financial soundness indicators, all banks
for expected losses. A sustainable rise in profits
would be possible only when interest rates start
rising again.
Graph 3.2.1:
Non-performing loans, 90-day+ ratios
20.0
%
15.0
10.0
5.0
Source:
MNB
Graph 3.2.2:
Net NPLs to own funds (%)
250
200
150
100
(1) ECB aggregated balance sheet
Source:
ECB, CBD
50
Bank profitability has been improving but still
lies below that of regional peers.
Before 2015,
the authorities had implemented a number of
measures with largely negative effects on the
banking system’s profitability. These included the
highest bank tax in the EU, a financial transaction
tax and a set of bills to help mortgage borrowers.
Since 2015, the authorities have announced a
number of policy measures to support the domestic
financial sector, including a reduced bank levy
(from 0.53 % to 0.24 % in 2016, and to 0.21 % in
2017 and 2018). The first levy reduction was
already reflected in the positive 2016 profitability
data, after breaking even in 2015. However,
Hungary still lags behind regional peers, who
recorded an average profitability of 6.7 % in 2015.
Profitability in 2016 was also driven by the
stabilised environment. Yet, much of the 2016
profits derive from the reversal of past provisions
FR
MT
LT
LV
FI
GR
HU
RO
HR
DE
CY
DK
CZ
ES
BE
SE
BG
2016 Q2
2012 Q4
(1) No data available for GB and SK for Q2 - 2016 and for
RO, HR, CZ, LU and FI for Q4 – 2012.
Source:
ECB (consolidated banking data)
Although declining, the level of non-performing
loans (NPL) remains high.
The NPL ratio peaked
in 2014 (Graph 3.2.1). Following the conversion of
foreign-currency mortgages and a pick-up in
economic growth, also reflected in real estate
valuations, banks’ asset quality has been gradually
improving. NPL ratios stood at 16.9% and 7.1% in
the retail and corporate sectors respectively in the
first half of 2016. Although the absolute level is
still high in comparison to other Member States,
they are well provisioned (coverage ratio of
63.4 % in June 2016). The loss absorbing capacity
and the remaining spill-over risks to the sector are
18
EE
LU
IT
IE
NL
PT
AT
PL
SI
0
2010Q1
Q2
Q3
Q4
2011Q1
Q2
Q3
Q4
2012Q1
Q2
Q3
Q4
2013Q1
Q2
Q3
Q4
2014Q1
Q2
Q3
Q4
2015Q1
Q2
Q3
Q4
2016Q1
Q2
Households
Corporates
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3.2. Financial sector
comparatively limited as net NPLs to own funds
represented 43.6 % in June 2016 (Graph 3.2.2).
Measures have been taken to address bad
household debt.
Delinquency rates are high
among household mortgage borrowers (close to a
quarter of mortgages are classified as NPL). The
Hungarian Asset Management Company, with
capacity to purchase a total of 35 000 dwellings, is
targeting non-performing debtors in the most
difficult financial situation. Mortgage holders who
are excessively indebted can also initiate a debt
settlement procedure under the Personal
Bankruptcy Act adopted in 2015. Debtors have in
general improved cooperation with lenders. This
was helped by a recommendation issued to credit
institutions by the central bank. The latter
determined the expected minimum framework of
cooperation between debtors and creditors.
Important steps were also taken to tackle non-
performing corporate loans.
The asset
management company established by the central
bank (MARK) officially started operating in 2016.
It aims to tackle the sizeable number of distressed
commercial real estate loans and more generally to
initiate the clean-up of banks’ balance sheets by
selling their non-performing portfolios on the
market. The central bank is also working on a new
recommendation which will set out best practice
guidelines on out-of-court restructuring and
consensual settlement of NPLs in the corporate
sector. The recommendation is designed to
encourage lenders to adopt a more cooperative and
coordinated approach where more than one
financial creditor is involved. It could become an
important tool for resolving such loans and
improve the depth of the market for distressed
assets in Hungary.
Lending to the private sector is improving but
both lenders and borrowers remain cautious.
The recent trend in bank lending to the private
sector is positive (Graph 3.2.3). The domestic
banking sector’s lending capacity is close to a
record high. Yet, willingness to lend is only
gradually improving (Graph 3.2.4). Households
and businesses also remain cautious about taking
on new debt. In 2015, lending to the corporate
segment decreased by 4.3 %, while household
loans dropped by 5.8 % (excluding the effect of the
legal settlement of household mortgage loans).
Graph 3.2.3:
Growth rate of outstanding loans
6
4
2
0
-2
-4
-6
-8
-10
-12
-14
-16
-18
%
Source:
MNB
Graph 3.2.4:
Lending conditions in the corporate sector
%
100
90
80
70
60
50
40
30
20
10
0
-10
-20
-30
-40
-50
EASING
TIGHTENING
Source:
MNB
In 2016, several factors led to a gradual
increase in appetite for borrowing.
On the
supply side, competition between lenders and
lending conditions improved. On the demand side,
wages and home prices rose, also supported by the
Home Purchase Subsidy scheme (Box 3.2.1). The
volume of new household loans grew by 38 % in
2016. Yet the total value of outstanding household
loans declined by 4.5 % as repayments outgrew
new lending. Growth of domestic corporate loans
turned positive in 2016 but remained restrained
due to firms’ still large self-financing capacity and
frequent use of cross-border loans. In addition,
confidence surveys indicate that borrowers are
19
2008 H1
2009 Q1
Q3
2010 Q1
Q3
2011 Q1
Q3
2012 Q1
Q3
2013 Q1
Q3
2014 Q1
Q3
2015 Q1
Q3
2016 Q1
2010 Q1
Q2
Q3
Q4
2011 Q1
Q2
Q3
Q4
2012 Q1
Q2
Q3
Q4
2013 Q1
Q2
Q3
Q4
2014 Q1
Q2
Q3
Q4
2015 Q1
Q2
Q3
Q4
2016 Q1
Q2
Loans to NFC
Loans to SMEs
Loans to households
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3.2. Financial sector
Box 3.2.1:
House price developments
The previous decline in real house prices reversed sharply as prices surged in 2015.
While such a development may
involve potential macroeconomic risks, house prices have just returned to their pre-crisis levels in nominal terms and the
subsequently introduced debt cap rules should help limit the risks of market overheating. In addition, the revival of the
property market improves the dynamics of the domestic credit market and can also help resolve the problem of the still
high non-performing mortgage loans of households.
The uptake of the housing market stimulus offered by the Home Purchase Subsidy scheme for families since the
beginning of 2016 has been slower than anticipated, but is expected to pick up next year.
The number of construction
permits issued doubled compared to the first half of last year. The work of construction companies is becoming more
difficult due to the shortage of suitable labour. While nominal housing prices increased by 14.4 % in year-on-year terms,
from 2014 to 2015, the Central Bank forecast for the third quarter of 2016 was for it to slow to 9% in annual terms. The
slowdown in price increases is visible in monthly data. The housing market also displays marked regional variation, with
the highest price growth in the capital.
Excessive house price and credit growth is being curbed with the application of debt cap rules.
To tackle
vulnerabilities in the property sector, Hungary had previously introduced loan-to-value and loan-to-income limits. New
stricter loan-to-value limits were recently applied to new mortgages and limits were further differentiated according to the
currency of a loan. These limits restrict the available loan amounts compared to the value of the property, hence
mitigating housing demand and curbing lenders' potential losses in the event of falling house prices. Loan-to-income
limits restrict the amount of monthly instalments compared to the income of borrowers, thus lowering their probability of
default. Both types of limits apply to individual credit contracts; hence they are very effective in tackling over-
indebtedness. In a pro-active manner, the central bank introduced comprehensive debt cap rules in time for the cyclical
upturn in 2015. Lenders have integrated the rules into their lending practices and the room for competing in risk-taking
has thus diminished. Even though the housing market has not yet overheated, house prices have exhibited rapid growth for
the past two years and the ratio of borrowers with higher levels of indebtedness has slightly increased since the regulation
was introduced. These developments warrant the close monitoring of housing and credit market indicators.
conservative about longer-term investments. This
is partly due to the high dependency on EU funds
(more details in section 3.4).
Policy initiatives to boost small business
financing start to bear fruits in loan growth.
The Funding for Growth Scheme (European
Commission 2015a and 2016c) was substituted by
the new Market-Based Lending Scheme designed
to boost SME financing. It provides interest rate
swaps to participating banks, which cover part of
the interest rate risks generated by new loans. In
the first half of 2016, loan growth in the SME
segment was up by 5 % y-o-y. At the same time,
aggregate net lending to Hungarian firms increased
by 0.3 %.
Hungary announced a number of macro-
prudential measures in 2016, which should
further improve financial stability.
The
Hungarian central bank (MNB) identified nine
systemically important financial institutions and
introduced relevant risk buffers, applicable from
2017. It also announced its intention to introduce
institution-specific systemic risk buffers linked to
the risk of their commercial real estate NPLs.
Hungary has a minimum foreign exchange funding
adequacy ratio in place, which requires banks to
hold a sufficient amount of stable foreign currency
funds in proportion to their foreign currency assets.
In addition, there is also a foreign exchange
coverage ratio, which imposes a limit on the
degree of currency mismatches between assets and
liabilities.
The National Bank has expanded its area of
action beyond monetary policy and purchased
the Budapest Stock Exchange
(BSE). The latter
was nationalised in 2015 when the MNB
purchased 68.8 % of the BSE from Austrian
stakeholders. The BSE then adopted a new strategy
to boost capital market access, growth, liquidity
and improve the financial culture in Hungary. The
BSE aims to become an alternative to bank
financing for local companies. The new BSE
management aims to reach market capitalisation of
30 % GDP, build a market for small firms with at
least 30 participants, and attract at least 5 stock
market launches (IPOs) a year.
20
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3.3. LABOUR MARKET, EDUCATION AND SOCIAL POLICIES
LABOUR MARKET
Graph 3.3.1:
Relative dispersion of employment rates by
education level, 2010, 2014 and 2015
0.3
2015
2014
2010
The Hungarian labour market has improved
significantly since the recovery started in 2013
but still faces challenges.
While unemployment
has significantly decreased for all skill groups, it is
still high for low-skilled workers. There are major
disparities in labour market outcomes across high,
medium and low-skilled workers. These have
fallen significantly in the last five years, but
remain high in 2015 (Graph 3.3.1). One reason for
such disparities may be the high tax burden on low
wages. In this regard, new measures lowered the
tax wedge introduced in January 2017 will reduce
tax/social security contributions (see Section 3.1).
At the same time, surveys reported that businesses
in certain sectors face increasing labour shortages.
According to the European Business Survey, the
share of firms in industry reporting that labour is a
‘factor limiting production’ has increased
significantly since 2013 (surpassing 50 % in 2016)
and is now the highest in the EU. Labour
productivity growth has been weak in recent years
(see Section 3.4). Low participation in adult
learning as well as insufficient support via active
labour market policies may contribute to skills
mismatches and low productivity growth. The
employment rates of older workers and people
with disabilities are very low and the duration of
working life is one of the shortest in the EU. (
6
)
Recent wage developments are symptomatic of
a tightening labour market.
Wage growth
accelerated in 2015 and especially in 2016,
indicating an increasingly tight labour market
(National
Bank of Hungary, 2016b, p. 30-33).
In
2016, wages are projected to have increased faster
than expected, due to inflation, productivity and
unemployment developments (update of the
original calculations by
Arpaia and Kiss,
2015, see
also section 1.).
(
6
) The employment rate for older workers was 45.3 % in
2015, substantially below the EU average (53.3 %). The
duration of working life is the second lowest in the EU at
31.8 years, about 3.5 years lower than the EU average. The
employment rate for people with disabilities was 34.2 % in
2014, against the EU average of 48.7 %.
0.2
0.1
FI
FR
MT
LV
IT
LT
UK
DK
DE
CZ
LU
RO
CY
HR
HU
NL
PT
AT
EE
SE
ES
EU28
SK
IE
SI
Source:
Update of calculations by European Commission
(2013) and Kiss and Vandeplas (2015). European
Commission calculations based on Eurostat data.
A significant increase in the minimum wage is
being introduced in 2017 and 2018.
In November
2016 the government reached an agreement with
social partners to increase the minimum wage by
15 % in 2017 and an additional 8 % in 2018 (see
details in Box 1.1). Increases in the minimum
wage have the potential to reduce in-work poverty
and reduce wage inequality. At the same time,
available evidence about past minimum wage
increases in Hungary points to a small negative
effect on employment in the small enterprise sector
(5 to 20 employees). There is also evidence of
adverse effects on the job-loss and job-finding
probabilities of low-wage workers in the short run
(Kertesi
and Köllő, 2003; 2004).
Possible negative
effects may be counterbalanced to some extent by
the reduction in employers’ social security
contributions and ongoing labour market dynamics
(see
sections 1, 3.1 and 3.4).
Measures aiming to improve the transition from
the public works scheme to the open labour
market are being worked out.
The public works
scheme (PWS) is the largest active labour market
policy measure (ALMP) in Hungary (for over
200 000 participants, around 5 % of the labour
force). Yet, despite some improvement recently, its
effectiveness in facilitating transitions to the open
labour market continues to be limited. According
to the data compiled by the Ministry of Interior,
the rate of successful exit from the scheme was
12.2 % in 2015 and 14.5 % during the first five
months of 2016. The aim of the authorities is to
21
BG
EL
PL
0.0
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3.3. Labour market, education and social policies
decrease gradually the spending on public works
and to increase the budget allocation for other
ALMPs in the coming years. This is already
visible in 2017: after having increased significantly
in the past years, the budgetary allocation for
public works is set to stabilize broadly. In recent
years, the authorities adopted a set of measures to
facilitate the transition from the PWS to the
primary labour market; including financial
incentives and enhanced training (see
European
Commission, 2016c).
As of January 2017 further
activation measures were introduced, such as the
reimbursement of travel costs or the increased gap
(
7
) between the minimum wage and the public
employment wage which may incentivise
transitions to the open labour market, The
authorities are considering a more ambitious set of
measures but details are not yet available.
Other active labour market policies are also
being reinforced, partly with the support of EU
funds.
Planned spending on ALMPs is to be
increased in 2017. A number of programmes have
recently been launched with the support of the
European Social Fund (ESF) and the Youth
Employment Initiative (YEI). Since 2015 two
large scale programmes exist. They aim to improve
the employability and supporting the labour market
entry for jobseekers and inactive people. Smaller
programmes provide supplementary support. More
than 34 000 PWS participants received ESF co-
financed training in 2016, and a mentoring service
has been introduced to improve efficiency.
The profiling system for the unemployed is
operational.
As required in the YEI and other ESF
programmes the compulsory use of Individual
Action Plans has recently been extended to all
jobseekers. However, the public employment
service faces organisational and staff capacity
constraints that might not allow for the intensive
use of face-to-face meetings or personalised
counselling.
The childcare services system has been
reformed to tackle the still high impact of
parenthood on women's employment.
While the
employment rate for men reached 75.9 % in 2015,
the rate for women stood at 62.1 % - a gap that has
increased in recent years. The employment rate of
(
7
) The public employment wage was increased by 3 %, while
the minimum wage was increased by 5 %.
mothers with young children is particularly low
(14.8 % for women with children below three, and
39.4 % for women with children below six in
2015). This makes the impact of parenthood on
women’s employment one of the highest in the
EU. In previous years, the gender employment gap
could mainly be explained by long parental leave
benefits and a lack of childcare services.
Enrolment in formal childcare for children aged 0
to 3 is 15%, well below the EU average of 28 %.
From January 2017, new forms of childcare
facilities have been introduced and a capacity
increase has been announced (
8
). The rate of
women not in the labour market due to caring
responsibilities is 26.5 % compared to the EU
average of 18.7 %. Support schemes for people
with dependent relatives are underdeveloped.
Furthermore, there is a significant inactivity trap
for second earners. (
9
) The gender gap in
employment is especially high among Roma, with
only 26 % of Roma women in employment,
compared to 45 % of men (Fundamental
Rights
Agency, 2016).
(
10
)
The participation of social partners in policy
making is limited.
Since the 2011 reforms, social
dialogue lacks a formal feedback mechanism for
government proposals regarding employment and
social policies. Tripartite negotiations are mostly
limited to the minimum wage and wage increase
recommendations.
SOCIAL INCLUSION & POVERTY
Some poverty indicators are back to pre-crisis
levels but remain high relative to the rest of the
EU.
After a significant increase in poverty
between 2008 and 2013, the situation has
improved as the labour market started to recover
(
8
) The new measures provide that nurseries, mini nurseries,
family nurseries, nurseries at workplace or day-care
facilities need to be available in any municipality where the
number of children between age 0-3 reaches 40, or where
there is a request for such facilities for at least 5 children.
(
9
) Second earners face a 36 % marginal effective tax rate
(considering the second earner earns 67 % of the average
wage, and the first earner 100 %).
(
10
) The 2016 survey by the Fundamental Rights Agency
(FRA) improved the sampling and weighting methods
developed for the 2011 Roma survey, so the results are a
more accurate representation of the situation of Roma in
the countries covered. Indicators used are a close
approximation to those applied in standard European
surveys (EU SILC, EU LFS) but full comparability was not
intended. For more details see FRA 2016.
22
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3.3. Labour market, education and social policies
(Graph 3.3.2). The rate of people at risk of poverty
or social exclusion (AROPE) fell to 28.2 % in
2015 (
11
), close to pre-crisis levels. It is
nevertheless still among the ten highest in the EU.
In 2015 severe material deprivation fell by 4.6 pps.
but at 19.4 % it was still more than twice the EU
average (8.1 %). Severe housing deprivation
among the poor and in particular among children
living in poverty is still high while the social
housing stocks are very narrow: only 3 % of the
total housing stocks, concentrated mainly in big
cities. In-work poverty increased significantly,
reaching 9.3 % in 2015, close to the EU average of
9.5 % although the minimum wage increase will
likely improve the situation.
Graph 3.3.2:
Main poverty indicators, 2005-2015
40
35
30
25
20
% of
population
than for non-Roma, according to various statistics
(
12
). This rate is comparable with other Member
States with a sizable Roma minority (BG, CZ, SK,
RO) where the rate of poverty for Roma is
estimated to be between three to more than six
times higher than for the general population (FRA,
2016). According to Hungarian data around two
thirds of Roma suffer from severe material
deprivation. (
13
) This is linked to the high
residential concentration of Roma in areas
characterised by lack of access to drinking water
(29 %) and basic amenities (43 %), which remain
high in regional comparison, further worsening
their living conditions (FRA,
2016)
The
employment of Roma is one of the highest in the
EU (36%, FRA 2016), but a significant proportion
(41.6 %) of Roma in employment work in the
public works scheme. Their effective integration in
the open labour market thus remains so far limited.
The adequacy and coverage of social assistance
and unemployment benefits is limited.
The
duration of unemployment benefits is still the
lowest in the EU at 3 months (see
European
Commission, 2016c).
The impact of social
transfers (other than pensions) in reducing poverty
has been declining since 2008, falling to 42 % in
2015, but it remains higher than the EU average.
The nominal level of three types of targeted cash
benefits increase slightly in 2017, while the
minimum income benefit remains unchanged. The
2015 social assistance reform streamlined the
benefits system but it does not yet seem to have
guaranteed a uniform and minimally adequate
living standard for those in need. Studies suggest
that the majority of entitlements remain in place,
albeit with a high degree of discretion in the
eligibility criteria for the benefits administered by
municipalities (Mózer,
2016).
Public works play a
significant role in social policy, particularly in
disadvantaged areas of the country. But in those
areas it may create a risk of benefit dependency
and an inactivity trap for social assistance
beneficiaries who tend to transit between living on
benefits and participating in public works.
(
12
) According to the Hungarian Central Statistical Office the
AROP rate was 63.1 % for Roma and 13.7 % for non-
Roma in 2015. Based on the 2016 survey of the
Fundamental Rights Agency, 75 % of Roma are at risk of
poverty (AROP).
(
13
) 67.8 % in 2015 (Hungarian Central Statistical Office).
According to the Hungarian research institute TARKI it
was 87 % in 2014.
15
10
5
0
2008
2012
2005
2006
2007
2009
2010
2011
2013
2014
At-risk-of-poverty-or-social-exclusion rate
At-risk-of-poverty rate
Severe material deprivation
People living in low work intensity households
Notes: AROPE: "At-risk-of-poverty or social exclusion" rate (%
of total population). People who are "at-risk-of poverty"
(AROP) and/or suffering from severe material deprivation
(SMD). AROP: At-risk-of poverty rate (% of total population),
i.e. people who have an equivalised disposable income
below 60% of the national equalised median income.
Source:
Eurostat, EU-SILC [ilc_peps01, ilc_li02, ilc_mddd11,
ilc_lvhl11]
Poverty among children and Roma is also
declining but remains particularly high.
Despite
a significant decrease since 2013, 36.1 % of
children were still at risk of poverty or social
exclusion in 2015, above the EU average of
26.9 %. Improved access to childcare services will
help decrease child poverty further. The at-risk-of-
poverty rate for Roma is almost five times higher
(
11
) International comparison is based on the latest available
Eurostat data. National data available for 2016 shows some
further improvement.
2015
23
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3.3. Labour market, education and social policies
EDUCATION AND SKILLS
The 2015 PISA survey of educational systems
showed significantly worsening results for
Hungary and a very high impact of the socio-
economic status on students’ performance.
Performance in reading and science worsened
significantly compared to 2012. Results remained
stable, but low, in mathematics. Hungary saw the
one of the highest increase in the EU in the share
of low achievers in science. The impact of pupils'
socio-economic
background
on
education
outcomes is one of the highest in the EU. Also the
impact of the school type on education outcomes is
very significant. Pupils are tracked into different
schools according to their performance starting
from the age of 10. This leads to significant
variations in performance by school type. The
choice of school type is in turn heavily influenced
by the parents’ socioeconomic background
(Education
Authority, 2016a, 2016b).
PISA
performance was above the OECD-average in
general upper secondary schools. It was below the
OECD-average in vocational secondary schools
and much lower in vocational schools. The
reduction of teaching hours of science subjects in
vocational grammar schools since 2016 is likely to
amplify Hungary’s bottleneck in science skills.
The share of early school leavers remained
stable in 2016, but varied widely by region and
school type.
The percentage of early school
leavers stood at 11.6% in 2015, close to the EU
average, but unlike the latter it has not fallen in the
last five years. The level varies by region, with the
highest rates in the north-east of the country, the
region most affected by poverty. Despite some
improvement since 2011, early school leaving
remains particularly high among Roma at 59.9%
compared with 8.9 % among non-Roma. (
14
) Only
28% of Roma in upper secondary education attend
school at the level corresponding to their age (FRA
2016). 46.9% of all early school leavers drop out
of vocational schools, 33% from vocational upper
secondary schools and 12.9% from general upper
secondary schools (Fehérvári,
2015).
The decision
to lower the compulsory age for participation in
early childhood education and care from five to
three years was a positive step, as evidence shows
(
14
) Data provided by the Hungarian Central Statistical Office
based on the 2015 Labour Force Survey. A high early
school leaving rate was also observed by the 2016 survey
by the Fundamental Rights Agency (68%).
that in all countries the share of low achievers is
smaller among students who participated in pre-
primary education. The Roma participation in
early childhood education is one of the highest.
However, there is no monitoring system for young
people who have already dropped out of school
with a view to re-integrate them into society and
the labour market.
The distribution of disadvantaged pupils
between schools is uneven.
As highlighted in the
2016 Country Report, national data indicates
growing school segregation, calculated on the
basis of possible contacts between disadvantaged
and non-disadvantaged pupils in primary schools
(Hungarian
Academy of Sciences, 2015).
This
development has also an ethnic dimension:
national and European surveys indicate that
increasing shares of Roma children attend Roma-
majority schools and classes. This phenomenon
can be partially explained by the higher
concentration of Roma population in certain parts
of the country. However, separate education exists
not only in remote settlements, but also in towns
with several schools, which also reflects parental
choice (Kertesi–Kézdi,
2013).
(
15
)
Legislative changes aiming to prevent
segregation have been tabled, but remain to be
adopted and implemented.
Some specific
measures (
16
) supporting teacher training, early
education, school achievement and fighting early
school-leaving of Roma are in place. However,
comprehensive and system-level measures to
address segregation are lacking.
Teachers’ salaries have increased since 2013,
but they remain low.
They correspond to around
71% of the salaries of other tertiary graduates
(OECD,
2016, p. 422).
Despite an increase in
enrolments for teacher training in recent years, the
number of teacher training applicants is still
insufficient to replace retiring teachers, in
particular in science subjects, despite dedicated
scholarships for trainee teachers to address the
shortage of teachers. More generally, following a
decrease in the previous three years, public
(
15
) 61% of 6 to 15 year old Roma children attend schools
where all or most children are Roma, FRA 2016. Of course
the choice of the parents might be already biased.
(
16
) The authorities have drawn up a "Roadmap on
desegregation and measures to support school achievement
of disadvantaged" (including Roma children).
24
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3.3. Labour market, education and social policies
expenditure in education increased by 12.5 % in
2014.
The growing demand for highly-skilled
workforce is not matched by a sufficiently large
pool of applicants to tertiary education and
adequate completion rates.
Hungary’s tertiary
educational attainment rate for 30 to 34 year-olds
stood at 34.3% in 2015. The rate was thus in line
with the EU2020 national target of 34%, but below
the EU average (38.7%). There has been a decline
in applications and enrolment rates for tertiary
programmes since 2011 but the drop-out rate from
higher education is higher (
17
). This may
negatively affect tertiary attainment rates in
Hungary over the next decade. The low relative
number of researchers and tertiary graduates is
considered to be one of the main challenges of the
Hungarian research and innovation system
(European
Commission, 2016d).
A recent reform has changed the structure of
vocational education and training.
The different
secondary school types were renamed in 2016 with
the intention to make vocational education more
attractive. However, the revised curricula seem
unlikely to lead to an improvement in basic skills
and competencies (see also European Commission
2015a, 2016c). The proportion of VET students in
work-based learning is one of the highest in
Europe (about 70%). Adult participation in life-
long learning has increased but remains below the
EU average (7.1% in 2015 vs 10.7%).
HEALTHCARE
the system (European
Commission and Economic
Policy Committee, 2016).
Hungary shows weak health outcomes, with
negative implications for labour market
participation.
Despite recent improvements, life
expectancy at birth ranks amongst the lowest in the
EU for both men and women. Amenable and
preventable mortality remain higher than the EU
average. Hungary also has the one of the highest
mortality rates in the EU relating to non-
communicable diseases among the working age
population. (
18
) This leads to a reduction of the
available workforce. While disease prevention and
healthy lifestyles have been promoted in recent
years, current investments in these areas appear
insufficient to improve health outcomes in the long
run. Wide inequalities in access to healthcare also
contribute to the poor health outcomes.
The shortage of labour in the health sector
continues
to
hamper
accessibility.
A
comprehensive residence support programme was
introduced in 2011 and announced again in 2016 to
reduce shortages of medical staff. In addition,
wages of health professionals have increased
substantially since 2012. Nevertheless a
comprehensive human resource strategy, focusing
on primary care staff and taking into account
regional disparities, is not yet in place to ensure an
adequate workforce (European
Commission and
Economic Policy Committee, 2016).
Out-of-pocket payments remain high.
The share
of out-of-pocket payments, which include the
estimated amount of informal payment as well, has
decreased but remains high by EU standard
(26.5 % vs. 17.6 %). The lack of a clear consistent
legal framework creates uncertainty and leaves
room for legalising post-treatment acceptance of
gratitude payments.
(
18
) Cardiovascular diseases continue to be the main cause of
mortality due to the high prevalence of risk factors
(smoking, obesity, high alcohol consumption). Cancer
mortality remains the second cause of death and it is the
highest in the EU (30 % higher than the EU average).
Public expenditure on health is low in Hungary,
by EU standards.
The share of public expenditure
on health was 67.1 % in 2014 (EU average
76.2 %). Public current expenditure on health as a
share of GDP was also below the EU average in
2014 and has not increased since 2000. The goals
of the Healthy Hungary 2014-2020 Strategy are
unlikely to be attained without increased strategic
investment in the health care sector. At present,
weaknesses in care coordination and the lack of
incentives to provide definitive care lead to a high
number of referrals to specialists and hospitals,
which has implications on the cost-effectiveness of
(
17
)
National data from 2015 indicates drop-out rates of 36.4 %
in the first cycle, 17.8 % in the second cycle and 38.7 % in
undivided programmes.
25
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3.4. INVESTMENT
Investment trends
The private investment share in GDP has fallen
since the crisis.
While total investment stood at
around a quarter of GDP before the crisis, it
dropped below 20% thereafter. This drop has been
driven by a contraction in private business
investment, which dropped below the EU average
in 2015. This continuous decline was due to
investment contractions in both the corporate and
the household sector (Graph 3.4.1). Business
investment remains 10% below the pre-crisis level
in real terms and is forecast to keep contracting.
However, household investment is set for a
progressive recovery after a decade of weakness.
Government investment grew dynamically in
recent years, reflecting an increasing level of EU
fund absorption. It is expected to keep growing in
the years ahead, after a temporary pullback in EU-
funded investment in 2016 (Graph 3.4.1).
Graph 3.4.1:
Private and public investment in HU and the EU
forecast
16
14
% of GDP
prices (Box
3.2.1).
Productive investment in
equipment did not contract as much and outgrew
the pre-crisis peak already in 2014. Yet, it is
estimated to have fallen considerably in 2016, as
EU disbursements declined. Total investment
remains below its pre-crisis levels in terms of both
GDP and absolute volume (Graph 3.4.2).
Graph 3.4.2:
Investment volumes, index 2008=100
110
100
90
80
70
60
12
10
Source:
Eurostat
8
6
4
2
Business inv. HU
Household inv. HU
Public inv. HU
Business inv. EU
Houshold inv. EU
Public inv. EU
(1) private investment = corporations + households
(2) private + public investment = total investment
Source:
European Commission, staff calculations based on
the 2017 winter forecast
Equipment and machinery investment is
important for making the economy more
productive and competitive.
Hungary’s high
dependency on EU funds creates risks of
postponing business investment, which could
happen without external support, as companies
wait for new funding opportunities or outcomes of
their applications for EU funds. This leads to a
dependency culture, which may be hard to break.
Grants or co-financing support from EU funds
involves much less risk for the recipient, but
greater risks that the funds are not used on higher
productivity- or growth-enhancing investment.
From a macroeconomic perspective, the decline
in private investment can be explained by
deleveraging, banks’ limited willingness to lend
and low domestic demand.
Deleveraging
pressures have started to ease but continue to
constrain firms’ capacity to invest. The debt of
non-financial corporations decreased from 79.3 %
of GDP in 2009 to 62.3 % in 2015. Yet, it remains
relatively high and limits the appetite of those
firms to borrow, as they seek improvements in
their balance sheets. In addition, the crisis was
2005
2014
2002
2003
2004
2006
2007
2008
2009
2010
2011
2012
2013
2015
2016
2017
The sizeable decline in private investment
reflected a drop in construction activity as
house prices dropped.
The peak-to-trough decline
in construction investment was 36 % (2005-2012).
It was especially marked in investment in
dwellings, which contracted by 63 % between its
peak in 2004 and its ebb in 2013. Household
investment started to recover thereafter, and is
expected to receive a boost from recovering house
2018
26
2000
2001
2002
2003
2004
2005
2006
2007
2008
2009
2010
2011
2012
2013
2014
2015
2016
Total
Construction
Machinery and equipment
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3.4. Investment
followed by several years of subdued domestic
demand and tight financing conditions, which
limited investment. More recently, domestic
demand has been recovering and the lending
capacity of banks has increased substantially.
However, the willingness of banks to lend remains
limited (section
3.2).
Net foreign direct investment (FDI) flows
decreased in 2015 but greenfield FDI inflows
remained stable.
Net FDI flows amounted to
1.6 % of GDP in 2015, down from 2.7 % in the
preceding year. The net flows amounted to 2.3 %
of GDP in the first three quarters of 2016. The
stock of net FDI was at 35 % of GDP in 2015,
which is about 6 pps. below the weighted average
of the regional peers (Czech Republic, Slovakia,
Poland). Greenfield FDI inflows remained stable
in 2015 at 2.2 % of GDP (Graph 3.4.3). FDI can
be an important source of technology transfer and
productivity growth. It is also a source of non-debt
financing of the external position and thus
enhances the country’ shock absorption capacity.
Graph 3.4.3:
Greenfield FDI inflows into Hungary
9
accumulation to potential growth and productivity
growth will remain moderate. Private investment is
particularly important as EU-funded investment
gradually subsides.
Low investment limits productivity gains, which
may make Hungary less competitive in the
medium term.
The cost competitiveness of the
Hungarian economy has improved in the recent
years due to the depreciation of the real effective
exchange rate. This led to a partial reversal of
previous market share losses, as the automobile
industry and an export-oriented service sector
expanded rapidly. However, recent and forecasted
wage growth is significantly above productivity
growth. This is expected to result in deteriorating
cost competitiveness in the medium term, unless
productivity increases significantly. In addition,
there has been little improvement in Hungary’s
non-cost competitiveness (more
information in
Box 3.4.1 and section 3.4.2)
The minimum wage reform is planned to
increase labour productivity but its outcome is
uncertain.
The reform was discussed in box 1.1
and section 3.3. The increase in minimum wage
risks eliminating some low-productivity jobs and
shifting labour to more productive jobs. In a closed
economy, if labour becomes more costly, capital
can substitute part of the labour as production
input. However, in an open economy, the situation
may be different. If labour costs increase or there
are labour shortages, capital can move to other
countries where labour is cheaper. This can be
illustrated by the recent decision by a major
multinational company to move their low-skilled
production factory from Hungary to Ukraine. In
real world, a mix of the above may happen.
Nevertheless, traditional structural measures to
enhance productivity, such as upskilling the labour
force and promoting entrepreneurship, may
achieve more predictable results.
8
7
6
5
4
3
2
1
0
Total Intra EU flows
Total Extra EU flows
Source:
Financial Times FDI Markets database, WEO
database Oct2016, European Commission
Low investment has a dampening impact on
Hungary’s potential growth
(Graph
1.10).
The
low rate of potential growth was discussed in
Section 1. It mainly reflects low total factor
productivity growth, which in turn is linked to the
low level of innovation in the economy. Without
sustained growth in market-driven private sector
investment,
the
contribution
of
capital
27
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3.4. Investment
Box 3.4.1:
Hungary's weak post-crisis productivity growth hinders competitiveness
Labour productivity growth in Hungary has fallen markedly over the past 15 years, to a level which is very
low for a catching-up economy. While labour productivity (in terms of gross value added per hour worked)
in the Hungarian economy grew by an annual average of 4% between 2000 and 2008, its growth rate
dropped to 0.6% in the post-crisis years 2010-2015. With this performance, Hungary belongs to the small
group of countries where both the level and the growth rate of labour productivity are below the EU average
(Graph
1, LHS).
This mirrors the nature of the post-crisis recovery, which has been characterised by
dynamic employment growth, while investment remained moderate. The employment dynamics have been
strongly shaped by the expansion of the public works scheme. When the effect of the public works scheme
is filtered out, the estimated labour productivity growth amounts to an annual average of 1.1% between 2010
and 2015: this is somewhat above the EU average, but remains below the growth rates which have been
recorded in other catching-up countries (distance from the regression line in Graph 1, LHS).
Graph 1:
LHS: Grouping of countries by labour productivity level (2015) and growth (2010-2015).
RHS: Labour productivity growth in the 10 new Member States (2005-2014)
8
LT
PL
LV
BG
RO
HR
CZ
SK
3.0%
Average yearly labour productivity growth,
2010-15
2.5%
2.0%
1.5%
7
6
5
%
4
3
SE
FR
NL
BE
UK
LU
FI
1.0%
0.5%
0.0%
-0.5%
EEPT
SI CY
ES
EU
DE
AT
2
1
0
-1
-2
ALL SECTORS
Manufacturing
Construction
Marketable Services
ICT Services
DK
HU
IT
-3
EL
-4
-1.0%
0
50
100
150
200
250
Labour productivity, 2015 (EU =100)
-5
EU28
HU
LV
CZ
Source:
Commission's calculations, Eurostat, OECD
The observed decline in labour productivity growth during the post-crisis years is closely related to a
significant deterioration in total factor productivity (TFP) growth in the Hungarian economy. The estimated
TFP for Hungary has not yet returned to its pre-crisis level after a deep drop in 2009.
1
Analysis by sector suggests that the service sector has been a drag on Hungarian productivity growth (Graph
1, RHS).
Hungary appears to perform less well than the EU average and its regional peers with respect to
labour productivity improvements in all key service sectors. In particular, labour productivity has been
declining for marketable services and in construction. In manufacturing, Hungary's estimated productivity
growth is close to the EU average, but lags behind most of the other catching-up economies.
Firm level analysis reveals increasing productivity differentials among Hungarian firms operating in the
same sector, both in services and manufacturing (OECD,
2016c).
This divergence may reflect an insufficient
diffusion of knowledge across firms, in particular between foreign and domestically owned companies
1
In a simple growth-accounting framework, taking the 2008 level of the TFP component in the economy-wide
production function as 100%, TFP is estimated to have reached only 97% by 2015. The estimate improves somewhat,
to 98.5%, when filtering out the effect of the public works scheme (European Commission calculation). Based on a
different methodology, the Conference Board (2016) estimates negative annual TFP growth for the whole post-crisis
period (2009-2014).
(Continued on the next page)
28
RO
BG
EE
PL
SK
LT
SI
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3.4. Investment
Box (continued)
(Bisztray,
2016).
The productivity differentials mainly reflect a dual economic structure with larger and
typically foreign owned companies alongside a firm structure heavily dominated by SMEs with a very
limited involvement in global value chains (Palocz,
2016).
The persistence of wide productivity differences
also highlights potential obstacles to shifting resources to more productive, frontier firms. Regulatory
restrictions and entry barriers affecting retail, professional services or public utilities are among such
potential obstacles.
Existing structural problems in the innovation system, the labour market, education and health care also
weigh on productivity growth (see Sections 3.4 and 3.5). Given the unfavourable demographic outlook,
improving productivity is crucial for the catching up process, for securing Hungary's international
competitiveness and for maintaining growth.
Business environment
Factors adversely affecting the business
environment are linked to weaknesses in
institutional performance and governance.
The
effectiveness of Hungary’s public administration
appears to be relatively low by international
standards (see section 3.6). The total
administrative burden for businesses is estimated
to be significantly above the EU average (OECD,
2015a).
An unpredictable regulatory environment
with frequent changes increases uncertainty and
high compliance costs that weigh on investment.
Some aspects of the competition framework, such
as exception clauses in the application of
competition law, also increase regulatory
uncertainty. In addition, inefficiencies in public
procurement generate corruption risks to the
detriment of the business climate.
Business dynamics are constrained by
institutional and regulatory obstacles.
Hungary
displays a relatively high share of fast-growing
companies. At the same time, the level of entry
remains moderate as measured by the birth and
survival rates of new firms (Eurostat,
2016).
Overall, Hungary’s level of entrepreneurship ranks
below the EU average (European
Commission,
2017a).
Firm entry and exit are hampered by the
high costs of resolving insolvency (European
Commission ibid; World Bank, 2016).
The
availability of alternative financial sources to bank
lending such as venture and seed capital is about
on par with the EU average, however a higher
volume of venture capital would help more
innovative firms to enter into the market and grow.
Regulatory barriers introduced in recent years have
made market entry more difficult in service sectors
(see section 3.5). In the energy sector, below-the-
cost regulated end-user prices coupled with the
burden of sector-specific taxes significantly reduce
the return on investment. The lack of a guiding
framework for companies wishing to transfer their
registered offices across borders is also a
constraining factor.
International rankings continue to flag
challenges in the business environment and
competitiveness.
The World Economic Forum’s
global competitiveness index ranks Hungary 69
th
out of 138 countries, a deterioration in the
country’s relative position over the past ten years.
Hungary appears to perform particularly weakly on
institutional soundness. The World Bank’s 2017
Doing Business Report, which sheds light on how
easy it is for entrepreneurs to open and run
businesses, places Hungary 21
st
among all EU
Member States (World
Bank, 2016).
The 2016
IMD world competitiveness scoreboard ranks
Hungary 46
th
among the 61 economies. While
Hungary’s ranking has stabilised in the last 5
years, indicators related to government efficiency
have been on a declining trend.
29
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3.4. Investment
Box 3.4.2:
Investment challenges and reforms in Hungary
Section 1. Macroeconomic perspective
Total investment in Hungary (measured as gross fixed capital formation) fell following the crisis and has failed to return
above its pre-crisis level. Private investment started to decrease in 2008 and its share in GDP has continued to shrink since
then. To date, it remains markedly below the EU average. Public investment has played a stabilising role, owing to a strong
EU fund support, but dropped in 2016 as EU disbursements slowed (see Section 3.4.1). The post-crisis sizeable decline in
total investment largely reflected a sharp drop in construction investment, mainly residential construction. In contrast,
productive investment in machinery and equipment showed more resilience. Over the years after the crisis weak
consumption and unfavourable financial conditions hindered investment, while since 2013 these factors are rather
supportive.
Section 2. Assessment of barriers to investment and ongoing reforms
Barriers to private investment in Hungary are overall relatively high as confirmed by the European Commission
assessment (2015c). Hungary made limited progress is assessing most of the relevant investment barriers addressed to it in
the country specific recommendation. Reforms have been adopted in the area of labour market and corporate taxation (see
Section 1. and 3.3).
Main barriers to investment and priority actions underway
1) According to a survey conducted by Kopint-Tárki (2017), commissioned by the Commission to assess investment
barriers, labour shortage in both skilled and unskilled categories is deemed to be the most important investment barrier in
Hungary as stated by company managers. The dynamic wage increase could ease the obstacle created by the tight labour
market among other things by decreasing incentives for foreign job taking. Nevertheless, structural measures would be
needed to facilitate the process.
2) The survey also highlights that administrative burden, low efficiency of tax administration and high tax wedge generate
additional cost for investment. The tax administrative cost to net revenue ratio is relatively high compared to the EU
average. The gradual cut in social security contribution will decrease the high tax wedge and the transformation of the Tax
Authority into a client-friendly service is a step in the right direction.
3) The quality of the business environment remains important barrier to investment, mainly due to instability of the
regulatory and tax environment. Despite considerable recent improvements in tax policies and tax administration,
Hungary's reliance on sector-specific taxes remains a barrier to investment. (see Section 3.2).
30
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3.5. SECTORAL POLICIES
Research and Innovation
Total spending on R&D increased in recent
years, but public R&D intensity is falling.
Although R&D spending in the business sector is
still below the EU average, it has doubled as a
percentage of GDP over the past ten years (Graph
3.5.1).
However, business innovation is highly
concentrated in a handful of large foreign-owned
companies. At the same time, public R&D has
been decreasing, leaving Hungary in the bottom
group of EU Member States on this account. This
weakens the science base which provides the
knowledge and human resources for business
development. The low quality of the public
research and innovation system contributes to
insufficient cooperation between higher education
institutions, public research organisations and
businesses.
Graph 3.5.1:
The evolution of R&D intensity by sectors
1.10
1.00
0.90
0.80
0.70
0.60
0.50
0.40
% of GDP
innovation activities (Graph
3.5.2).
Human
resource
constraints,
including
weak
entrepreneurship, play a major role in hampering
innovation.
The
lack
of
highly-skilled
professionals is a major obstacle that puts at risk
investments in knowledge-intensive activities. (
19
)
Based on the European Innovation Scoreboard,
which reflects the above factors, Hungary ranks
21
st
of the 28 EU countries in innovation
performance (European
Commission, 2016d).
Graph 3.5.2:
Performance of Hungarian SMEs in selected
innovation indicators – measured in standard
deviations (EU average=0)
SMEs introducing product/process innovations *
SMEs introducing marketing/organisational innovations *
SMEs innovating in-house *
Share of Innovative SMEs collaborating with others *
Sales of new-to-market and new-to-firm innovations *
Share of SMEs selling online
SMEs purchasing online
Turnover from e-commerce
Employees with ICT specialist skills
Firms providing ICT skills training to their employees
National R&D available to SMEs
-2.0
-1.5
-1.0
-0.5
0.0
0.5
1.0
(*) Data bars pointing left show weaker performance than
the EU average. Data refer to 2015 or 2012.
Source:
European Commission
0.30
00 01 02 03 04 05 06 07 08 09 10 11 12 13 14 15
Public R&D intensity
Business R&D intensity
Source:
Eurostat
Overall, innovation is not sufficiently embedded
in the Hungarian economy.
Hungary has been a
major beneficiary of foreign direct investments
over the past 25 years. This brought in high-
technology production, which represents a
significant proportion of manufacturing. However,
domestically-owned firms have not been able to
benefit from technological spill-overs from foreign
owned enterprises, and their productivity has
remained weaker. The limited knowledge transfer
can be partly linked to the orientation of foreign
companies towards their global production
networks, while relying on low labour costs
locally. The very low innovation propensity of
small- and medium-size enterprises (SMEs) in
terms of adopting new technologies and processes
also reduces the scope for technological spill-
overs. Similarly, only a small fraction of
Hungarian SMEs are involved in in-house
The government's economic strategy puts
emphasis on promoting innovation, but
weaknesses in policy coordination tend to limit
results.(
20
)The
National
Research
and
Development and Innovation Strategy (2013-2020)
laid down policies explicitly targeting innovation
in SMEs. However, there are mismatches between
the planned measures and the actual situation of
SMEs. Hungarian R&D, especially in the small
busines sector, is heavily dependent on EU
Structural Funds and other external sources. Yet,
R&D grants do not appear to have the desired
broad effect in stimulating innovation across the
economy. Considerable funds are available to
support business R&D during the 2014-2020
programming period. Yet, appropriate evaluation
and monitoring mechanisms to safeguard the
effective utilisation of these resources are missing.
There is only limited policy coordination to ensure
(
19
) The number of new graduates in science and engineering
per thousand of population aged 25-34 was at 10.8 % in
2014, 7 pps. below the EU average – placing Hungary 25th
in the EU.
20
( ) At the request of the Hungarian authorities, a peer review
was conducted on the country's research and innovation
system under the Horizon 2020 Policy Support Facility,
which concluded in drawing up several recommendations
(European
Commission, 2016e).
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3.5. Sectoral policies
the complementarity and continuity of different
programmes.
Digital economy
While Hungary scores close to the EU average
in broadband connectivity, significant gaps
exist in mobile services.
Fixed broadband
networks now are accessible for 95 % of homes,
close to the EU average. At the same time, in
2015, already 75 % of households had a fixed
broadband subscription, compared with the EU
average of 74 %. However, Hungary performs
relatively poorly on mobile services. Take-up rates
are by far the lowest within the EU for mobile
subscriptions and particularly for mobile internet
subscriptions (42.7 % vs. the EU average of 60 %).
This does not stem from infrastructure constraints
as coverage is already extensive for basic mobile
and 4G services. At the same time, prices for
mobile phone users are considerably higher than in
the rest of the EU (Van
Dijk 2016; OECD 2016a).
This can be linked to the existing regulatory and
market structure. The high price level also reflects
the effect of the tax burden imposed on the sector,
including the sector-specific telecommunication
tax (Deloitte,
2015).
The use of information and communications
technologies by businesses and public
administration stands below the EU average.
The proportion of firms relying on technologies
such as electronic information sharing (16 %),
cloud services (8 %) or social media (13 %) is
among the lowest in the EU. Hungarian businesses
also take limited advantage of e-commerce. Very
few Hungarian SMEs sell online (12 % in 2016),
and even fewer sell online to other EU Member
States (4.5 %). The reluctance of consumers to
engage in electronic transactions is a factor behind
this (Eurostat
2017).
The latest e-Government
Benchmark Report reveals that Hungary
underperforms in all key dimensions of digital
public administration (Capgemini
et al. 2016).
Regulation in the service sector
areas include retail outlets, tobacco retail,
pharmacies, waste management public service,
textbook publishing and distribution or mobile
payment systems. During 2016, no substantial
steps were taken to ease the recently erected entry
barriers in service sectors. On the contrary, the
government adopted new, tighter requirements for
passenger transport services operated by
independent dispatching centres. Increasing
restrictions to entry in certain service sectors
hinder the efficient allocation of resources and
innovation-enhancing business dynamics, while
also generating uncertainty for investors.
Regulation in the retail sector is restrictive and
the transparency of rules is relatively low.
Hungary is the only Member State where the level
of restrictiveness in retail has more than doubled
over the past decade and is currently above EU
average (OECD,
2016a).
However, the OECD
indicator does not capture all the restrictions that
were recently introduced. Unclear application of
the rules on setting up stores above a certain size
(
21
) and the ban on loss-making are significant
barriers to market entry and to the expansion.
Hungary is one of the few countries in the EU
where mark-ups in the retail sector have not
declined since 2000 (Thum-Thysen
and Canton,
2015).
Regulatory restrictions weigh on the
sector's productivity and also reduce incentives to
invest (European
Commission, 2015d).
Regulation on professional services remains
restrictive.
Based on an indicator developed by
the European Commission (2016f;g), the degree of
regulatory restrictiveness in Hungary exceeds the
EU average for several professions examined,
especially for tourist guides, civil engineers, estate
agents and patent agents. In addition, for
accounting and legal services business the churn
rate (
22
) was found to be comparatively low. This
suggests a relatively weak market dynamism and
competition in these services. In November 2016,
the authorities submitted an action plan to review
the existing regulatory provisions for professions.
(
21
) Permissions are required to open outlets larger than 400
m2. However, the permission-granting powers have been
moved from a ministerial committee to one single local
government official with wide discretion in giving
derogations from the rule (LawNow,
2015).
(
22
) Churn rate is the ratio of the sum of newly founded and
closed companies to the total number of companies in a
given year.
Although product market regulation is not
particularly strict in general, access to several
service sectors continues to be constrained.
Over
the past years, several segments of the service
sector saw the introduction of new regulatory
barriers in previously open markets. The affected
32
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3.5. Sectoral policies
It indicated intentions to reform regulation for
professions in the tourism and construction sectors.
Energy and environment
Hungary is heavily dependent on energy
imports, particularly crude oil and natural gas.
Some 62 % of the country's energy needs are
covered by imports. Electricity and gas
interconnector projects between Hungary and its
neighbours have a beneficial impact on energy
security and the energy import bill. However,
without a commonly agreed solution for the
definition of appropriate bidding zones in Central
and Eastern Europe, limitations to cross-border
electricity trade are still frequent, with negative
consequences for the internal electricity market.
On the retail side, regulated electricity and gas
prices for households are not cost reflective,
resulting in financial losses to the service
providers.
Below-cost regulated prices have
prompted energy retailers to return their universal
supply licences for household costumers, and the
service has been increasingly taken over by state-
owned companies. One state-owned company
(Főgáz Ltd.) is now practically the sole provider of
natural gas to households. This results in a lack of
consumer choice and competition. Below-cost
prices do not subsidise only the vulnerable
households, but also all the wealthier customers.
The accumulating potential financial losses in the
balance sheet of state-owned energy retailers are
not sustainable in the long run and may eventually
burden the state budget (OECD,
2016a).
Hungary is on the right track to meet its
greenhouse emission targets, but the economy is
still characterised by high energy intensity.
In
2015, the level of Hungary's greenhouse emissions
was 35 % less than in 1990 and expected to decline
further. Energy consumption also decreased over
the past decade linked to the economic downturn
during the crisis. The energy intensity of the
Hungarian economy still significantly exceeds the
EU average. (
23
) The current volume of final
energy consumption remains above the indicative
2020 target (by around 13 %). There is
considerable energy saving potential in
(
23
) In 2014, the Hungarian energy consumption per 1 million
euro gross value added amounted to 201 tonnes of oil
equivalent, while EU average was at 114.4 tonnes.
modernising district heating systems and
renovating the residential building stock. However,
there is a risk that this saving potential will not be
properly exploited as EU funds initially allocated
to support residential housing renovation are
intended to be re-channelled to finance the
modernisation of public buildings.
The waste management sector has experienced
increased
central
regulation
involving
measures, which pose risks to its long term
viability.
The scope for competitive arrangements
has been reduced by restricting the presence of
privately owned operators. As of 2013, waste
collection fees for households were capped and
reduced generating financial losses for several
municipal service providers. In 2016, a new
nationwide system was introduced for waste
collection. Under the new regime, uniformly set
fees are collected by a national holding company,
which then redistributes the revenues between
local operators. There is a danger that this highly
centralised setup will not be able to ensure the
right incentives and prices to cover the costs of
waste management in locally differentiated
markets.
Hungary's
circular
economy
remains
underdeveloped.
The
existing
economic
instruments do not effectively support the
achievement of the EU’s 2020 and 2030 waste
management targets.(
24
) The tax system does not
facilitate eco-friendly solutions. The landfill tax
has remained at a low level since 2013, and no
incineration tax exists, which could help prevent
waste from being shifted to incinerators. The
selective door-to-door collection of municipal
waste and the extended producer responsibility
schemes are not well developed (European
Commission, 2016h).
The national strategic
framework for waste management does not cover
all relevant parts of the circular economy and lacks
regional plans.
(
24
) The overall waste recycling rate reached only 31 % in
2014, significantly below the EU average of 43 %. The
landfilling of municipal waste currently amounts to 57%,
well above the EU average of 28 %.
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3.6. PUBLIC ADMINISTRATION
Regulatory quality and administrative reform
rule of law
Internationally collated scoreboard indicators
point to a low and deteriorating quality of
institutions.
The
Worldwide
Governance
Indicators data show that Hungary’s performance
has declined in all the six broad dimensions related
to the quality of policy making over the past ten
years (Graph
3.6.1).
Since 2010, the deterioration
is particularly noteworthy in accountability,
regulatory quality and rule of law. The slide in
executive capacity and executive accountability is
also shown by the Bertelsmann Institute’s
governance indicators (Bertelsmann,
2016).
Institutional quality tends to be closely related to
the level of economic development. However,
based on these accounts, Hungary is not only
amongst the group of lowest performing EU
Member States, but also lags behind most regional
peers. (
25
) The weak institutional framework could
be a drag on the economy's growth potential.
Policy uncertainty is one of the most important
barriers to doing business in Hungary.
According to the World Economic Forum,
Hungary ranks 136 of 138 countries in the
transparency of policy making (WEF,
2016).
Empirical research on the Hungarian legislative
process reveals several critical aspects of
regulatory quality (CRCB,
2015; 2016; 2017).
It
finds that, despite a legal requirement, regulatory
impact assessments are not available for a
significant number of laws. Publicly accessible
impact assessments typically contain only a short
assessment sheet with little quantitative
information on the effects of proposed policies.
The research also highlights a deficit in
appropriate
stakeholder
engagement.
For
government initiated proposals, consultations tend
to be limited to very short time periods, around 4.5
days in the last three years. Transition periods
allowing the affected parties to prepare for policy
implementation are often inadequate. In 2014-
2016, on average only 45 days elapsed between the
submission of a draft bill and the publication of the
adopted new law, significantly shorter (by around
20 days) than in the previous decade.
To address these problems, the government has
launched an ambitious reform programme to
(
25
) Based on the composite governance quality indicator by
Bertelsmann, Hungary is placed on the 26
th
position in the
EU with a score somewhat above Greece and Romania.
improve regulatory quality, but results are still
to be seen.
In 2015, the government adopted a new
public administration and public services
development strategy. This aims to increase
administrative effectiveness through organisational
integration, reducing administrative costs,
improving human resource management and
digitising
public
administration. (
26
)
The
Commission has set a deadline (31 December
2016) to prepare a detailed action plan in relation
to the implementation of the strategy, which will
be assessed in early 2017.
Graph 3.6.1:
Hungary: Quality of institutional performance -
2005-2015
Indicator
Year
political
stability
2005
2010
2015
2005
2010
2015
2005
2010
2015
2005
2010
2015
2005
2010
2015
government
effectiveness
control of
voice and
regulatory
corruption accountability
quality
2005
2010
2015
0
20
40
60
80
100
(1) Higher score values indicate better performance on a
scale from 0 t0 100. Dark bars show the 90% confidence
intervals.
Source:
The Worldwide Governance Indicators, 2016 Update
A range of justice system reforms have also
been recently adopted or initiated.
These include
reforms of the civil, administrative and criminal
procedural code, new rules for electronic
communication between public administration and
courts and a new regime for attorneys at law. At
the same time, plans to set up a new administrative
court system raised important concerns on the part
(
26
) Under this program, Hungary plans to invest over €935,
including €795 million from EU funding in the next five
years.
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3.6. Public administration
of the judiciary (OBT,
2016)
and have been
postponed. The impact of these reforms on the
effectiveness of the Hungarian justice system
requires close monitoring. Challenges remain, as
businesses' perception of judicial independence has
worsened over the last three years (European
Commission, 2017b).
The performance of the legal
system is also adversely affected by the excessive
length of civil procedures and the lack of effective
domestic legal remedies as established by a pilot-
judgment of the European Court of Human Rights.
An adequate response by the government to this
judgment is still awaited. (
27
)
Public procurement
Public procurement consistently suffers from
limited competition and transparency.
Empirical
research on Hungarian public procurement
showed that the intensity of competition declined
in 2009-2015, while in that period the share of
contracts awarded to a single bidder remained
high, at around 30 % on average (Tóth
and Hajdú,
2016;Tóth, 2016).
The study documented that the
transparency of procedures had decreased in recent
years andthere was also a detectable tendency
towards price distortion. This analysis also found
that procurements involving EU funds had worse
performance than domestically funded ones.
Comparable data across countries on tenders above
the EU threshold value reveal that single-bid
contract awards and negotiated procedures without
prior publication of the tender have been more
extensively used in Hungary than in most other
Member States (European
Commission TED
database).
Limited competition and transparency
in public procurement generates corruption risks
and social losses in terms of value for money.
Data on public procurement procedures for
2016 following the adoption of the new
procurement act show some improvements, but
challenges still remain.
In 2016, the proportion of
tenders without prior publication above the EU
threshold decreased to 9 % from 13 % in 2015.
Despite the decline, the proportion of such
procedures still remained above the European
Economic Area average (5%). At the same time,
(
27
) In December 2016, the Council of Europe's Committee of
Ministers noted that the Hungarian authorities had not met
the deadline set in the pilot-judgment to take the necessary
measures (see also
European Court of Human Rights,
2015).
there was no significant improvement in the share
of contracts above the threshold that attracted only
a single bidder. In 2016, 36% of tenders (excluding
frameworks) belonged to this category, while 37%
in 2015. This value is the 6
th
highest in the
European Economic Area compared to an average
of 17% (European
Commission, 2017c).
To assure
the effective and efficient use of EU Structural and
Investment Funds in 2014-2020, Hungary drew up
an action plan where it committed itself to
undertake several measures to increase legality,
competition and transparency in public
procurement. In that context, a new public
procurement act was adopted in November 2015 to
ensure compliance with EU directives in the
area. (
28
) The new framework gave also an
enhanced role to the Public Procurement Authority
in checking the legality of direct award procedures
and increased the minimum number of invited
participants in case of certain negotiated
procedures. More recently, Hungary has
introduced a possibility to cancel procurement
procedures that only attracted a single bidder. It is
too early to draw a firm conclusion regarding the
impacts of the new regime and the subsequent
changes. One of the reasons is a significant drop in
the number of calls for tenders in 2016 due to a
temporary fall in spending EU funds.(
29
)
Hungary is experiencing delays in the
implementation of its e-procurement strategy.
Overall, this is likely to have a negative effect on
the timely introduction of e-procurement and
thereby on the goal to strengthen transparency and
increase competition. In the action plan, Hungary
made a commitment to develop an e-procurement
system and to test the system in a pilot project by
the end of 2016. Hungary submitted a revised
version of the technical and professional concept
document outlining the transition to e-
procurement. However, as the system is not yet
developed, the pilot project could not be launched.
The implementation is behind schedule.
(
28
) The correct transposition of the new public procurement
directives will be evaluated by the Commission for all
Member States in parallel. The assessment is expected for
the 3
rd
Quarter of 2017.
29
( ) The implementation of the action plan will be assessed by
the Commission on the basis of a report that Hungary has
to submit by mid-2017.
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3.6. Public administration
Fight against corruption
Corruption risks weigh on Hungary’s business
environment.
According to the World Economic
Forum, corruption is the second most problematic
factor for doing business in Hungary after policy
instability (WEF,
2016).
Based on the
Transparency International corruption perception
index, Hungary's score has continued to deteriorate
over the past few years (TI,
2017).
Empirical
research shows that corruption contributes to
allocative inefficiencies adversely affecting the
country's productivity (Gamberoni
et al., 2016).
The government's anti-corruption framework relies
on an integrity management system, professional
ethics training and risk-control systems in public
institutions. The impact of these policy tools on
curbing corruption has not yet been evaluated. In
2016, the government passed legislation to
streamline the integrity management and internal
control processes. Yet, no legal measures have
been taken to improve protection for whistle-
blowers. According to the 2016 Global Corruption
Barometer, only 21 % of respondents would report
corruption, while 23 % would expect retaliation for
doing so (TI,
2016).
No specific measures have
been taken to reduce favouritism among
government officials. In that category of
corruption risk, Hungary shows a deteriorating
trend over time with a score of 1.9 (on a scale from
1 to 7) and a global rank of 135 of 138 countries
(WEF,
2016).
The previously announced reform of
the asset declaration system for public officials has
not yet been launched.
Some concerns remain regarding the
effectiveness of prosecution of corruption.
The
results of the internal inquiry by the Prosecutor
General's Office show that the number of
corruption complaints registered and not followed
by an investigation has been steadily declining
(Ügyészség,
2016).
Yet, there does not appear to
be a focus on prosecuting high-level corruption
cases. This is reflected in business perceptions.
While 56 % of survey respondents agree that petty
corruption is appropriately punished, only 27 %
believe this to be the case with senior officials
(European
Commission, 2015e).
According to the
most recent available data, the number of
investigations opened for bribery of national
officials decreased in 2014 compared to the 2011-
2013 average (
30
). The proportion of suspended
sentences out of the total number of final
convictions was 86%. Concerns about the
independence of prosecution and prevention of
corruption with respect to members of parliament,
judges and prosecutors have not yet been
addressed (GRECO,
2015).
(
31
)
Transparency and access to information in
certain areas remains restricted.
In the 2015
Open Budget Survey, Hungary improved its
ranking from the 60
th
to the 49
th
place out of 102
countries. However, Hungary still ranks last
among EU countries. With a score of 45/100, the
Open Budget Index classifies Hungary as a
country in which the government provides the
public with limited budgetary information (IBP,
2015).
The Constitutional Court has rebuffed
repeated attempts to restrict access to information
by legislative modifications. Recent legislation
allows data owners a considerable degree of
discretion in granting access and requesting fees
for releasing lengthy documents (GoH,
2016).
The
legal rules include safeguards and redress
measures, but their impact with respect to ensuring
freedom of access to information still requires an
assessment.
(30) 314 investigations were opened in 2014, compared to an
average of 503 per year in the period 2011-2013 (European
Commission calculations).
(31) Hungary should respond to the GRECO recommendations
by 30 December 2016.
36
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3.6. Public administration
Box 3.6.1:
Online cash registers in retail services
Selected highlights
From 2014, Hungary introduced the mandatory use of online cash machines to several retail services, such as
retail shops, pharmacies, restaurants and accommodation services. Online cash registers are connected to the
tax authority. They submit, on a regular basis, sales information, which permits a continuous monitoring of
transactions and VAT collection. The government provided financial support for businesses to cover part of
the purchase costs of the new registers.
The mandatory use of the online cash registers has been effective in reducing the grey economy. It
contributed significantly to better VAT collection and helped reduce tax evasion in the sectors concerned.
Since the introduction of the online cash registers, VAT revenue has grown at a higher pace than private
consumption expenditure, which indicates the effectiveness of the measure. According to the estimates of the
government online cash registers and the Electronic Public Road Trade Control System (EKAER) augmented
VAT revenues by approximately 1.2 pp. of GDP since their introduction. In addition, the VAT gap (the
difference between the theoretical and the actual VAT revenue) also decreased sharply.
From January 2017, the government extended the use of online cash registers to additional services, such as
car repair and maintenance, taxi services, cosmetic surgery, clubs and beauty care services (solariums,
wellness centres, etc.).
State Aid Monitor Office (SAMO)
The SAMO is a dedicated office to ensure compliance with state aid rules in public administration. It
facilitates the dialogue between the European Commission and public entities (aid grantors) as a one voice
communication channel. The SAMO provides assistance to these entities, reducing the resources necessary to
obtain specific knowledge on state aid rules and engage in separate communication with the EU. It operates
within the Prime minister's office. This arrangement is also beneficial for the EU, since the Commission
contacts always with the same professional body, which enables a more efficient negotiation on state aid
issues.
The operation of the SAMO is regulated by legislation. Aid grantors are obliged to notify the SAMO of their
planned grants. The SAMO assesses compatibility with the EU state aid rules and may provide assistance for
aid grantors to make grant schemes compatible. It gives approval if General Block Exemption Regulation or
de minimis regulation is applicable, and informs the Commission. Otherwise it submits the grant to the
Commission for approval.
37
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ANNEX A
Overview Table
Country specific recommendations (CSRs)
Commitments
CSR1:
In view of the high risk of a significant
deviation, achieve an annual fiscal adjustment
of 0.3 % of GDP towards the medium-term
budgetary objective in 2016 and of 0.6 % of
GDP in 2017, unless the medium-term
budgetary objective is respected with a lower
effort, by taking the necessary structural
measures.
CSR2:
Further reduce sector-specific taxes and
reduce the tax wedge for low-income earners.
Strengthen transparency and competition in
public procurement through e-procurement,
increased publication of tenders and further
improvement
of
the
anti-corruption
framework.
Improve
the
regulatory
environment in the services sector and in the
retail sector by addressing restrictive
regulations and ensuring predictability.
Further reduce sector-specific taxes
Summary assessment (
32
)
The compliance assessment with the Stability
and Growth Pact will be included in Spring
when final data for 2016 will be available.
Hungary has made
addressing CSR2:
limited
progress
in
Hungary has made limited progress in
addressing the first subpart of CSR 2 as
regards the further reduction of sectorial
taxes. By means of measures adopted
(published) on 15.6.2016 and implemented
with effect from 1.1.2017, the bank levy on
the taxable base in excess of HUF 50 billion
is reduced from 0.24% to 0.21% of the
balance sheet total. This reflects a
downward trend as the bank levy was first
reduced as of 1.1.2016 from 0.53% to
0.24%. At the same time, some distortive
sectorial taxes remain, in particular in the
telecommunications sector (utilities tax,
telecommunications tax,) and the energy
sector (Robin Hood tax, utilities tax).
(32) The following categories are used to assess progress in implementing the 2016 country-specific recommendations:
No progress:
The Member State has not credibly announced nor adopted any measures to address the CSR. Below a number of
non-exhaustive typical situations that could be covered under this, to be interpreted on a case by case basis taking into account
country-specific conditions:
• no legal, administrative, or budgetary measures have been announced in the National Reform Programme or in other official
communication to the national Parliament / relevant parliamentary committees, the European Commission, or announced in
public (e.g. in a press statement, information on government's website);
• no non-legislative acts have been presented by the governing or legislator body;
• the Member State has taken initial steps in addressing the CSR, such as commissioning a study or setting up a study group to
analyse possible measures that would need to be taken (unless the CSR explicitly asks for orientations or exploratory actions),
while clearly-specified measure(s) to address the CSR has not been proposed.
Limited progress:
The Member State has:
• announced certain measures but these only address the CSR to a limited extent;
and/or
• presented legislative acts in the governing or legislator body but these have not been adopted yet and substantial non-legislative
further work is needed before the CSR will be implemented;
• presented non-legislative acts, yet with no further follow-up in terms of implementation which is needed to address the CSR.
Some progress:
The Member State has adopted measures that partly address the CSR
and/or
the Member State has adopted measures that address the CSR, but a fair amount of work is still needed to fully address the CSR as
only a few of the adopted measures have been implemented. For instance: adopted by national parliament; by ministerial
decision; but no implementing decisions are in place.
Substantial progress:
The Member State has adopted measures that go a long way in addressing the CSR and most of which have
been implemented.
Full implementation:
The Member State has implemented all measures needed to address the CSR appropriately.
38
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A. Overview Table
and reduce the tax wedge for low-income
earners.
Hungary has made some progress in
addressing the second subpart of CSR 2 as
regards the reduction of the tax wedge for
low-income earners. By means of measures
announced in November 2016 and
implemented with effect from 1.1.2017, the
employers' social security contributions are
cut from 27% to 22% and are set to be
further reduced to 20% from 2018. This
general measure reduces the tax wedge for
all employees. Personal income tax
allowance for families with two children is
further increased. The tax wedge of low-
income earners however remains higher
than the EU average and in regional peers.
As regards anti-corruption, Hungary has
made limited progress. New measures
taken streamline the internal control and
the integrity management functions. The
real impact of the national anti-corruption
programme's approach on preventing and
curbing down corruption has not been
evaluated yet. No legal measures have been
taken to improve the protection of whistle-
blowers or to reduce favouritism among
government officials. Prosecution of high-
level corruption remains limited and affects
deterrence. Limited progress can be seen as
regards public procurement. Revised
versions of the e-procurement strategy
were sent in the second half of 2016.
Although the document is a solid basis for
future developments. Hungary also
committed to develop an e-procurement
system, and test it through a pilot project.
So far, no pilot project has been launched,
nor did Hungary draw up a concrete
concept of what it intends to do in this
regard.
Regarding service sector in the field of
energy, the concentration of household gas
customers into one gas supplier and
regulated end-user prices eliminates retail
competition and does not contribute to
attract investments in the energy utility
sector. No progress has been made on
improving the regulatory environment in
the services sector and in the retail sector.
Strengthen transparency and competition in
public procurement through e-procurement,
increased publication of tenders and further
improvement
of
the
anti-corruption
framework.
Improve the regulatory environment in the
services sector and in the retail sector by
addressing restrictive regulations and ensuring
39
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A. Overview Table
predictability.
CSR3:
Facilitate the transition from the public
works scheme to the primary labour market
and reinforce other active labour market
policies. Improve the adequacy and coverage of
social assistance and unemployment benefits.
Take measures to improve educational
outcomes and to increase the participation of
disadvantaged groups, in particular Roma, in
inclusive mainstream education.
Facilitate the transition from the public works
scheme to the primary labour market and
reinforce other active labour market policies.
Hungary has made
addressing CSR3:
limited
progress
in
Hungary has made some progress in
reinforcing active labour market policies
other than the public work scheme.
Following
legislative
changes
PWS
participants are now entitled to a
placement benefit if they find employment
in the primary labour market. The training
component of the PWS has been enhanced.
As of January 2017 further activation
measures were introduced. From 2016, the
ESF co-financed “Training of Low-skilled and
Public Workers’” programme supports
training for among others public workers.
PWS participants also receive training
supported by funds from the Ministry of
Interior. During the first ten months of 2016
almost 20 thousand public workers were
involved in trainings. ESF (and YEI)
supported ALMP programmes started to roll
out in 2015 and 2016. The two major
programmes are the “Path to the labour
market” and the Youth Guarantee. Until the
end of October 2016, more than 39,000
people have been involved in the first
programme, and more than 41,000 young
people in the YG. The national expenditure
for active labour market policies is planned
to be gradually increased, whereas
expenditures of the public work schemes
will be decreased in the upcoming years. In
2017 the budgetary allocation for public
works is set to stabilize while spending on
other ALMPs is set to increase.
Limited progress was observed with regards
to the improving the adequacy and
coverage of social assistance and
unemployment benefits. The duration of
unemployment benefits is still the lowest in
the EU at 3 months. The budget for 2017
foresees an increase (by about 5%) of the
nominal value of some benefits: elderly
support, care assistance, child support
benefit. There has been a 12% increase
regarding the so called "home-acquisition"
support provided for those young people
Improve the adequacy and coverage of social
assistance and unemployment benefits.
40
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A. Overview Table
who leave institutional care. The level of the
other entitlements is not planned to change
in 2017.
Hungary made limited progress in
improving educational outcomes and
increasing participation of disadvantaged
groups in inclusive mainstream education.
Recent PISA results show a deterioration of
educational outcomes. The distribution of
disadvantaged pupils between schools is
uneven and the corresponding corrective
mechanisms are insufficient. National and
European surveys indicate that increasing
shares of Roma children attend Roma-
majority schools and classes. Legislative
changes aiming at addressing this have
been tabled, but remain to be adopted and
implemented.
Take measures to improve educational
outcomes and to increase the participation of
disadvantaged groups, in particular Roma, in
inclusive mainstream education.
Europe 2020 (national targets and progress)
Europe 2020 national targets
Employment rate target: 75%.
Assessment
The employment rate continued to improve
and reached 68.9% in 2015.
Hungary is on track in achieving its GHG
reduction target in the 2020 climate and
energy package.
In 2014 the renewable share reached 9.5%,
being by 2.6% above the 2013/2014 interim
target, so Hungary is currently on track to
meet its renewable target. However, further
efforts need to be made in order to reach
the 2020 renewable energy target, as the
current share is still below by 3.5% of the
target.
Hungary has to increase its effort to
decrease its final energy consumption
further in order to achieve its indicative
final energy consumption 2020 target (14.4
Mtoe) and to keep its current primary
energy consumption below its primary
Greenhouse gas (GHG) emissions target: +10%
compared to 2005 emissions (ETS emissions not
covered by this national target).
2020 Renewable energy target: 13%.
Energy efficiency target:
Hungary's 2020 energy efficiency target is 24.1
Mtoe
expressed
in
primary
energy
consumption (14.4 Mtoe expressed in final
energy consumption.)
41
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A. Overview Table
energy 2020 target (24.1 Mtoe). (
33
)
R&D target: 1.8% of GDP and 3% by 2030 (
34
)
In the period 2007-2015, thanks to a
continuous increase in business R&D
expenditures, overall Hungarian R&D
intensity showed a significant growth with a
compound annual growth rate of 4.6% and
it reached a peak of 1.39% GDP in 2013
(1.38 % GDP in 2015). However, contrasting
trends in public and private R&D intensities
put into question the sustainability of the
overall growth of the R&D intensity.
At 11.6% in 2015 early school leaving is
stagnating and shows strong variation by region
and school type.
34.4% of 30-34–year-olds completing third
level education (2005 Eurostat data)
The population at risk of poverty and social
exclusion was 59 000 lower than in 2008.
Reducing the rates of early school leaving
below 10%.
34% of 30-34–year-olds completing third level
education (national target 34%)
Target on the reduction of population at risk of
poverty or social exclusion in number of
persons: 450 000.
(33) Renewable energy shares for 2015 are approximations and not official data, reflecting the available data (04.10.2016). See the
Öko-Institut Report: Study on Technical Assistance in Realisation of the 2016 Report on Renewable
Energy,
http://ec.europa.eu/energy/en/studies
(34) A complementary target is that Business R&D intensity would reach 1.2% by 2020 from 0.99% in 2014.
42
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ANNEX B
MIP Scoreboard
Table B.1:
The MIP scoreboard for Hungary
Thresholds
Current account balance,
(% of GDP)
3 year average
-4%/6%
-35%
2010
-2.5
-108.8
2011
0.1
-106.3
2012
0.9
-94.0
2013
2.1
-83.5
2014
2.5
-75.8
2015
3.0
-60.8
Net international investment position (% of GDP)
Real effective exchange
External imbalances rate - 42 trading partners,
and competitiveness HICP deflator
Export market share - %
of world exports
Nominal unit labour cost
index (2010=100)
3 years % change
±5% & ±11%
-1.2
-4.2
-1.0
-4.0
-7.0
-6.9
5 years % change
-6%
3.7
-2.0
-20.8
-22.2
-15.8
-8.0
3 years % change
9% & 12%
6.1
3.2
4.1
5.9
6.7
3.9
Deflated house prices (% y-o-y change)
6%
-5.9
-6.9
-9.3
-4.3
3.2
11.6
Private sector credit flow as % of GDP, consolidated
14%
-4.2
-4.4
-6.1
-0.9
-0.5
-3.1
Internal imbalances
Private sector debt as % of GDP, consolidated
General government sector debt as % of GDP
Unemployment rate
3 year average
133%
60%
10%
16.5%
115.5
80.5
9.7
-0.2
114.9
80.7
10.7
6.2
102.0
78.2
11.1
-5.9
95.4
76.6
10.7
-1.9
91.0
75.7
9.6
8.5
83.9
74.7
8.2
0.4
Total financial sector liabilities (% y-o-y change)
Activity rate - % of total population aged 15-64 (3 years
change in p.p)
-0.2%
0.3
1.2
2.5
2.8
4.6
4.9
New employment
indicators
Long-term unemployment rate - % of active population
aged 15-74 (3 years change in p.p)
0.5%
2.0
1.6
0.8
-0.6
-1.5
-1.9
Youth unemployment rate - % of active population aged
15-24 (3 years change in p.p)
2%
8.3
6.5
1.8
0.2
-5.6
-10.9
Flags: i: see metadata. na: not available.
(1) Unemployment rate: for 2008 i = Eurostat back-calculation to include 2011 Population Census results.
(2) Youth unemployment rate: for 2008 i = Eurostat back-calculation to include 2011 Population Census results.
Source:
European Commission, Eurostat and Directorate General for Economic and Financial Affairs (for Real Effective
Exchange Rate), and International Monetary Fund
43
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ANNEX C
Standard Tables
Table C.1:
Financial market indicators
Total assets of the banking sector (% of GDP)
Share of assets of the five largest banks (% of total assets)
Foreign ownership of banking system (% of total assets)
Financial soundness indicators:
- non-performing loans (% of total loans)
- capital adequacy ratio (%)
2)
- return on equity (%)
Bank loans to the private sector (year-on-year % change)
Lending for house purchase (year-on-year % change)
Loan to deposit ratio
Central Bank liquidity as % of liabilities
Private debt (% of GDP)
Gross external debt (% of GDP) - public
- private
Long-term interest rate spread versus Bund (basis points)*
Credit default swap spreads for sovereign securities (5-year)*
Notes:
1) Latest data Q2 2016.
2) Quarterly values are not annualised
* Measured in basis points.
1)
1)
2011
119.6
54.6
54.6
12.8
13.8
-12.0
-13.1
-18.9
128.0
0.4
114.9
47.5
78.4
502.7
342.5
2012
119.0
54.0
50.0
14.1
16.3
-5.1
-5.5
-9.4
110.6
0.7
102.0
52.0
79.5
639.6
418.0
2013
114.3
51.9
46.2
14.0
17.4
-0.4
-4.1
-5.4
102.1
3.1
95.4
47.4
75.6
435.3
269.8
2014
108.2
52.5
39.9
14.2
17.0
-21.9
-3.5
-6.1
94.8
3.8
91.0
46.9
78.9
364.6
179.2
2015
102.5
53.3
40.5
11.0
16.9
0.3
-8.1
-10.3
80.9
4.9
83.9
42.1
71.9
293.7
139.1
2016
99.5
-
-
10.3
16.8
7.6
0.4
-1.2
78.3
5.4
-
37.1
70.0
305.3
131.3
Source:
European Commission (long-term interest rates); World Bank (gross external debt); Eurostat (private debt); ECB (all
other indicators).
44
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C. Standard Tables
Table C.2:
Labour market and social indicators
2011
2012
61.6
0.2
56.2
67.3
36.1
6.7
9.5
35.3
11.0
5.0
28.2
14.8
11.8
2013
63.0
1.1
56.9
69.3
37.9
6.4
10.9
36.8
10.2
4.9
26.6
15.5
11.9
2014
66.7
4.8
60.2
73.5
41.7
6.0
10.8
41.8
7.7
3.7
20.4
13.6
11.4
2015
68.9
2.2
62.1
75.8
45.3
5.7
11.4
36.9
6.8
3.1
17.3
11.6
11.6
2016
4
71.2
2.7
64.3
78.3
49.4
4.9
9.9
32.8
5.3
2.5
13.4
:
:
Employment rate
(% of population aged 20-64)
Employment growth
(% change from previous year)
Employment rate of women
(% of female population aged 20-64)
Employment rate of men
(% of male population aged 20-64)
Employment rate of older workers
(% of population aged 55-64)
Part-time employment (% of total employment,
aged 15-64)
Fixed-term employment (% of employees with a fixed term
contract, aged 15-64)
Transitions from temporary to permanent employment
Unemployment rate
1
(% active population,
age group 15-74)
Long-term unemployment rate (% of labour force)
Youth unemployment rate
(% active population aged 15-24)
Youth NEET
3
rate (% of population aged 15-24)
Early leavers from education and training (% of pop. aged 18-24
with at most lower sec. educ. and not in further education or
training)
Tertiary educational attainment (% of population aged 30-34
having successfully completed tertiary education)
Formal childcare (30 hours or over; % of population aged less
than 3 years)
2
60.4
0.0
54.7
66.4
35.3
6.4
9.1
38.8
11.0
5.2
26.0
13.2
11.4
28.2
29.8
32.3
34.1
34.3
:
7.0
6.0
9.0
9.0
:
:
Notes:
1) The unemployed persons are all those who were not employed but had actively sought work and were ready to begin
working immediately or within 2 weeks.
2) Long-term unemployed are those who have been unemployed for at least 12 months.
3) Not in education employment or training.
4) Average of first three quarters of 2016. Data for total unemployment and youth unemployment rates are seasonally
adjusted.
Source:
European Commission (EU Labour Force Survey)
45
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C. Standard Tables
Table C.3:
Labour market and social indicators (continued)
Expenditure on social protection benefits (% of GDP)
Sickness/healthcare
Disability
Old age and survivors
Family/children
Unemployment
Housing
Social exclusion n.e.c.
Total
of which: means-tested benefits
Social inclusion indicators
People at risk of poverty or social exclusion
(% of total population)
1
2010
5.7
1.8
10.2
2.9
0.9
0.5
0.1
22.1
1.1
2010
29.9
38.7
12.3
21.6
4
2011
5.5
1.7
10.3
2.7
0.8
0.4
0.1
21.5
1.0
2011
31.5
40.4
14.1
23.4
12.8
6.2
51.4
595657
7.7
3.9
51.2
26.8
2012
5.0
1.6
11.0
2.6
0.6
0.3
0.1
21.2
0.9
2012
33.5
41.9
14.3
26.3
13.5
5.7
47.6
607544
2.8
4.0
51.0
26.9
2013
4.9
1.5
10.8
2.5
0.5
0.3
0.1
20.6
0.9
2013
34.8
43.9
15.0
27.8
13.6
7.0
44.4
564058
3.7
4.3
50.9
28.0
2014
4.9
1.4
10.2
2.3
0.4
0.3
0.1
19.7
0.7
2014
31.8
41.8
15.0
24.0
12.8
6.7
43.6
577231
4.8
4.3
52.5
28.6
2015
:
:
:
:
:
:
:
:
:
2015
28.2
36.1
14.9
19.4
9.4
9.3
42.0
605976
1.8
4.3
49.9
28.2
Children at risk of poverty or social exclusion
(% of people aged 0-17)
At-risk-of-poverty rate
2
(% of total population)
Severe material deprivation rate (% of total population)
Proportion of people living in low work intensity households (% of
people aged 0-59)
In-work at-risk-of-poverty rate (% of persons employed)
Impact of social transfers (excluding pensions) on reducing poverty
Poverty thresholds, expressed in national currency at constant prices
5
Gross disposable income (households; growth %)
Inequality of income distribution (S80/S20 income quintile share ratio)
GINI coefficient before taxes and transfers
GINI coefficient after taxes and transfers
3
11.9
5.3
56.7
599154
1.1
3.4
51.1
24.0
Notes:
1) People at risk of poverty or social exclusion : individuals who are at risk of poverty and/or suffering from severe material
deprivation and/or living in households with zero or very low work intensity.
2) At-risk-of-poverty rate : proportion of people with an equivalised disposable income below 60 % of the national equivalised
median income.
3) Proportion of people who experience at least four of the following forms of deprivation: not being able to afford to i) pay
their rent or utility bills, ii) keep their home adequately warm, iii) face unexpected expenses, iv) eat meat, fish or a protein
equivalent every second day, v) enjoy a week of holiday away from home once a year, vi) have a car, vii) have a washing
machine, viii) have a colour TV, or ix) have a telephone.
4) People living in households with very low work intensity: proportion of people aged 0-59 living in households where the
adults (excluding dependent children) worked less than 20 % of their total work-time potential in the previous 12 months.
5) For EE, CY, MT, SI and SK, thresholds in nominal values in euros; harmonised index of consumer prices = 100 in 2006 (2007
survey refers to 2006 incomes)
Sources:
For expenditure for social protection benefits ESSPROS; for social inclusion EU-SILC.
46
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C. Standard Tables
Table C.4:
Product market performance and policy indicators
Performance indicators
Labour productivity (real, per person employed, year-on-year %
change)
Labour productivity in industry
Labour productivity in construction
Labour productivity in market services
Unit labour costs (ULC) (whole economy, year-on-year % change)
ULC in industry
ULC in construction
ULC in market services
Business environment
1
Time needed to enforce contracts (days)
Time needed to start a business (days)
Outcome of applications by SMEs for bank loans
Research and innovation
R&D intensity
Total public expenditure on education as % of GDP, for all levels of
education combined
Number of science & technology people employed as % of total
employment
3
Population having completed tertiary education
Young people with upper secondary education
Trade balance of high technology products as % of GDP
Product and service markets and competition
OECD product market regulation (PMR)
5
, overall
OECD PMR
5
, retail
OECD PMR , professional services
OECD PMR , network industries
5
6
5
4
2
1
2010
2011
2012
2013
2014
2015
19.07
9.07
13.97
-5.50
1.66
0.68
2010
395.0
5.0
na
2010
1.15
4.90
33
17
84
2.22
-1.77
4.70
1.17
6.95
0.67
2.02
2011
395.0
5.0
1.04
2011
1.19
4.71
35
18
83
2.98
2.38
-4.12
-0.54
5.10
6.40
2.34
2012
395.0
7.0
na
2012
1.27
4.07
36
19
83
0.94
2.46
6.90
1.42
3.92
-4.83
0.17
2013
395.0
7.0
0.67
2013
1.39
4.13
37
20
84
0.46
2003
na
0.79
2.86
3.31
2.61
6.25
-3.91
1.54
-7.95
1.78
2014
395.0
7.0
1.01
2014
1.36
na
36
20
85
0.28
2008
1.54
1.44
3.02
1.87
7.81
1.46
0.95
-2.91
-2.72
0.63
2015
395.0
7.0
0.39
2015
1.38
na
36
21
84
-0.48
2013
1.33
2.06
3.05
1.73
Notes:
1) The methodologies, including the assumptions, for this indicator are shown in detail at :
http://www.doingbusiness.org/methodology.
2) Average of the answer to question Q7B_a. '[Bank loan]: If you applied and tried to negotiate for this type of financing over
the past six months, what was the outcome?'. Answers were scored as follows: zero if received everything, one if received
most of it, two if only received a limited part of it, three if refused or rejected and treated as missing values if the application is
still pending or if the outcome is not known.
3) Percentage population aged 15-64 having completed tertiary education.
4) Percentage population aged 20-24 having attained at least upper secondary education.
5) Index: 0 = not regulated; 6 = most regulated. The methodologies of the OECD product market regulation indicators are
shown in detail at : http://www.oecd.org/competition/reform/indicatorsofproductmarketregulationhomepage.htm
6) Aggregate OECD indicators of regulation in energy, transport and communications.
Source:
European Commission; World Bank — Doing Business (for enforcing contracts and time to start a business); OECD (for
the product market regulation indicators); SAFE (for outcome of SMEs' applications for bank loans).
47
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C. Standard Tables
Table C.5:
Green growth
2010
kgoe / €
kg / €
kg / €
kg / €
% GDP
%
%
% of value
added
ratio
% GDP
kgoe / €
% of value
added
% GDP
€ / kWh
€ / kWh
% GDP
% GDP
%
%
kgoe / €
kg / €
%
HHI
HHI
0.26
0.73
1.11
0.19
-5.1
14.73
1.6
17.6
0.16
2.8
0.14
21.5
10.36
0.11
0.03
0.00
0.01
19.6
35.1
1.04
2.85
58.2
57.2
0.25
2011
0.25
0.70
1.09
-
-6.0
15.47
1.9
19.1
0.15
2.6
0.16
23.1
9.41
0.10
0.04
0.00
0.01
22.0
35.2
0.99
2.70
51.9
54.2
0.25
2012
0.24
0.67
0.96
0.18
-6.3
16.77
0.3
18.8
0.15
2.7
0.17
23.2
9.32
0.10
0.05
0.01
0.01
25.5
35.4
0.93
2.58
52.3
59.1
0.24
2013
0.23
0.63
1.08
-
-6.3
17.04
-11.7
17.7
0.15
2.6
0.20
21.6
8.50
0.10
0.04
0.04
0.02
26.4
33.2
0.86
2.36
52.4
63.0
0.23
2014
0.22
0.60
1.31
0.17
-6.1
16.99
-10.9
17.7
0.15
2.6
0.19
21.2
8.38
0.09
0.04
0.00
0.01
30.5
32.9
0.94
2.59
61.8
75.6
0.22
2015
0.22
-
1.23
-
-
15.97
-2.7
-
-
-
0.19
-
8.49
0.09
0.04
0.01
0.01
32.2
32.4
1.00
-
55.6
-
-
Green growth performance
Macroeconomic
Energy intensity
Carbon intensity
Resource intensity (reciprocal of resource productivity)
Waste intensity
Energy balance of trade
Weighting of energy in HICP
Difference between energy price change and inflation
Real unit of energy cost
Ratio of environmental taxes to labour taxes
Environmental taxes
Sectoral
Industry energy intensity
Real unit energy cost for manufacturing industry excl.
refining
Share of energy-intensive industries in the economy
Electricity prices for medium-sized industrial users
Gas prices for medium-sized industrial users
Public R&D for energy
Public R&D for environmental protection
Municipal waste recycling rate
Share of GHG emissions covered by ETS*
Transport energy intensity
Transport carbon intensity
Security of energy supply
Energy import dependency
Aggregated supplier concentration index
Diversification of energy mix
Notes:
All macro intensity indicators are expressed as a ratio of a physical quantity to GDP (in 2005 prices)
Energy intensity: gross inland energy consumption (in kgoe) divided by GDP (in EUR)
Carbon intensity: greenhouse gas emissions (in kg CO2 equivalents) divided by GDP (in EUR)
Resource intensity: domestic material consumption (in kg) divided by GDP (in EUR)
Waste intensity: waste (in kg) divided by GDP (in EUR)
Energy balance of trade: the balance of energy exports and imports, expressed as % of GDP
Weighting of energy in HICP: the proportion of 'energy' items in the consumption basket used for the construction of the HICP
Difference between energy price change and inflation: energy component of HICP, and total HICP inflation (annual %
change)
Real unit energy cost: real energy costs as a percentage of total value added for the economy
Environmental taxes over labour taxes and GDP: from European Commission's database, ‘Taxation trends in the European
Union’
Industry energy intensity: final energy consumption of industry (in kgoe) divided by gross value added of industry (in 2005 EUR)
Real unit energy costs for manufacturing industry excluding refining : real costs as a percentage of value added for
manufacturing sectors
Share of energy-intensive industries in the economy: share of gross value added of the energy-intensive industries in GDP
Electricity and gas prices for medium-sized industrial users: consumption band 500–20 00MWh and 10 000–100 000 GJ; figures
excl. VAT.
Recycling rate of municipal waste: ratio of recycled and composted municipal waste to total municipal waste
Public R&D for energy or for the environment: government spending on R&D for these categories as % of GDP
Proportion of GHG emissions covered by EU Emissions Trading System (ETS) (excluding aviation): based on greenhouse gas
emissions
(excl land use, land use change and forestry) as reported by Member States to the European Environment Agency.
Transport energy intensity: final energy consumption of transport activity (kgoe) divided by transport industry gross value
added (in 2005 EUR)
Transport carbon intensity: GHG emissions in transport activity divided by gross value added of the transport sector
Energy import dependency: net energy imports divided by gross inland energy consumption incl. consumption of
international bunker fuels
Aggregated supplier concentration index: covers oil, gas and coal. Smaller values indicate larger diversification and hence
lower risk.
Diversification of the energy mix: Herfindahl index over natural gas, total petrol products, nuclear heat, renewable energies
and solid fuels
* European Commission and European Environment Agency
Source:
European Commission (Eurostat) unless indicated otherwise
48
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