Disscussion on Structural transformation and growth ...eef9694e-6c4d-49b2-a8... · Labour market...
Transcript of Disscussion on Structural transformation and growth ...eef9694e-6c4d-49b2-a8... · Labour market...
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Disscussion on Structural transformation and growth perspectives in
CESEE
Tomas Slacik
84th East Jour FixeOesterreichische Nationalbank in cooperation with OMFIFJune 3, 2019
Session 1: Long-run growth and resilience
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Some key hypotheses by Erik Berglöf
Convergence• „Convergence miracle“ in CESEE (in terms of GDP per capita) yet…• Economic growth has been relatively “innovation-light”• (Social, environmental and institutional) Convergence beyond rising incomes has stalled• Hence, further convergence will entail a shift from investment-led to innovation-led growth • …will require fundamental structural transformation (structures and institutions)
Integration into Global Value Chains (GVC)• CESEE benefited greatly from integration into GVC
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Outline
1. Closer look at structural gaps and convergence in CESEE
2. Integration into GVC: double-edged sword – example car industry
3. Structural cha(lle)nges in the car industry
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Outline
1. Closer look at structural gaps and convergence in CESEE
2. Integration into GVC: double-edged sword – example car industry
3. Structural cha(lle)nges in the car industry
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1. Closer look at structural gaps and convergence in CESEE
Set of structural and competitiveness indicators across 5 thematic areas:
• Human capital• R&D and innovation • Environmental protection• Transport and energy infrastructure • ICT
…from various sources (Eurostat, OECD, WEF, IMF, World Bank)
…between 2007–2016
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Many shades of red: structural investment gaps in CESEE in 2007
7
Note: Shades of red/green indicate distance in standard deviations below/above the EU average.Source: Eurostat, OECD, World Bank, own calculations.
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Structural gap changes in CESEE over the 2007-2013 programming period (convergence perspective)
Human capitalR&D and innovation
Environmental protection
Transport and energy infrastructure
ICT Average
BG -0.09 0.08 -0.03 -0.03 0.36 0.06CZ -0.30 0.10 0.02 0.04 -0.08 -0.04EE 0.26 0.41 -0.22 0.17 -0.04 0.12HU -0.48 -0.29 0.09 -0.24 -0.27 -0.24LV 0.13 0.06 0.28 0.06 0.31 0.17LT 0.07 0.02 -0.59 0.14 0.02 -0.07PL 0.23 0.05 -0.04 0.00 0.35 0.12RO -0.28 0.05 0.31 0.11 0.09 0.06SI 0.18 0.09 -0.07 0.02 0.18 0.08SK -0.44 -0.06 0.31 0.06 0.09 -0.01CESEE average -0.07 0.05 0.01 0.03 0.10 0.02Source: Eurostat, OECD, World Bank, WEF, authors' calculations
Standard deviations from the EU average
Note: Shades of red/green indicate a widening/narrowing of the gap vis-a-vis the EU average.
On average convergence toward the EU average was limited
10
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EIB Investment Survey:EIB Investment Survey: availability of skilled human capital the biggest challenge in CESEE
0% 10% 20% 30% 40% 50% 60% 70% 80% 90%
Uncertainty about the future
Availability of finance
Availability of adequate transport infrastructure
Business regulations and taxation
Labour market regulations
Access to digital infrastructure
Energy costs
Availability of staff with the right skills
Demand for products and services
CESEE EU
% of firms
Obstacles to investment - CESEE vs. EU
Source: EIB Investment Survey 2017.
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Outline
1. Closer look at structural gaps and convergence in CESEE
2. Integration into GVC: double-edged sword – example car industry
3. Structural cha(lle)nges in the car industry
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Automotive industry dominant manufacturing sector in some CESEE
Wood, paper, printing and reproduction
Bas ic metals and fabricated metal products, except machinery and equipment
Food products; beverages and tobacco products
13th
11th
12th
11th
11th
5th
6th
4th
2nd
1st
1st
1st
1st
0 5 10 15 20 25 30
HR*
LT*
LV*
EE
BG
SI
PL*
EU
RO
SK
DE*
HU
CZ
% of GVA, current prices, 2017
Share and rank of "Motor vehicles, trailers and semi-trailers" in manufacturing
Source: Eurostat.* 2016
Motor vehicles, trailers and semi-trailers
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Significance of the car industry in CESEE
FDI
2018 % change 18/17 per capita - rank in the world
Ths. persons (2016)
% of total employment
% of total-FDI (2016)
CZ 1,345,041 -5.3 2nd 192.31 3.7% 7.6HU 430,998 -14.7 9th 94.80 2.1% --SK 1,090,000 8.8 1st 73.28 3.2% 7.0RO 476,769 32.7 20th 190.30 2.3% 6.0PL 659,646 -4.4 21st 292.80 1.8% --SI 209378 10.3 3rd 12.01 1.3% 2.9CESEE-6 4,211,832 855.50DE 5,120,409 -9.3 6th 880.00 2.0% --EU28* 16,146,681 -2.1 2,478.47 1.1% 0.7Source: Eurostat, WIIW, ACEA, OICA* EU28 employment in 2015, production passenger cars only
EmploymentVehicle production
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Cars a major export good…
0
5
10
15
20
25
30
2004
2017
2004
2017
2004
2017
2004
2017
2004
2017
2004
2017
2004
2017
CZ HU SK RO PL SI EU28To Germany To other EU countries To non-EU countries
Exports: Share of products related to the production of motor vehiclesin % of total exports
Source: Eurostat.
Note: Product groups according to SITC Rev. 4: 722, 781, 782, 783 (tractors, motor cars and motor vehicles), 784 (parts and accessories), 786 (trailers and semi-trailers, containers), 7132 (piston engines) and 7783 (various electrical equipment for motor vehicles).
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Exports of cars increasingly importantRisk profile of the automotive sector (dependence on EU28), 2004 (small icons) & 2017 (large icons)
Source: Eurostat.
BG
CZ
EE
HR
HU
LTLV
PL
RO
SI
SK
EU28
BG
CZ
EEHR
HU
LTLV
PL
RO
SI
SK
EU28
0
5
10
15
20
25
0 1 2 3 4 5 6
Shar
e of
exp
orts
to E
U28
rela
ted
to m
otor
veh
icle
s in
% o
f to
tal e
xpor
ts
Share of motor vehicles, trailers and semi trailers in total GVA
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Rising integration of CESEE automotive industry in the GVC…
0.0
0.1
0.2
0.3
0.4
0.5
0.6
0.7
0.8
0.9
CZ HU SK RO PL AT2000 2014
indexGVC integration index (NACE Rev. 2 C29)
Source: WIIW.
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Flipside: higher vulnerability to cyclical shocks
Slowdown of the German automotive industry (-7.1% in H2 vs. H1 2018,
manufacturing without cars -0.9%)
• Ban for diesel engines in some cities
• New emission standards (WLTP) – slow certification
• Economic slowdown in China, car sales down by -4% 2018 yoy
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Outline
1. Closer look at structural gaps and convergence in CESEE
2. Integration into GVC: double-edged sword – example car industry
3. Structural cha(lle)nges in the car industry
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Structural outlook and risks for the automotive industry• Brexit
• Trade wars (USA – China – EU)
• New emission limits – far reaching implications
0
20
40
60
80
100
120
140
2015 2016 2017 2018 2019 2020 2021 2022 2023 2024 2025 2026 2027 2028 2029 2030
g CO2/km
Fleet average CO2 emmission limits for the car industry
Source: EC.
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Thank you for your attention!
Tomas [email protected]
References
Bubbico, R., M. Kollar and T. Slacik. 2018. Structural investment needs in CESEE and the use of EU funds.In: Focus on European Economic Integration, Q3/2018,87-101, Oesterreichische Nationalbank.
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Brain and skills drain: main culprit for Hungary’s diverging quality of human capital?...
0.00%
0.05%
0.10%
0.15%
0.20%
0.25%
0.30%
0.35%
0.40%
0.45%
0.50%
2008 2009 2010 2011 2012 2013 2014 2015 2016 2017
Hungary
Share of total population
Emmigration from Hungary
Source: Eurostat.
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…everything is relative: rather heterogeneous emmigration patterns in CESEE
0.0%
0.5%
1.0%
1.5%
2.0%
2.5%
3.0%
2008 2009 2010 2011 2012 2013 2014 2015 2016 2017Bulgaria Czechia Estonia Croatia Latvia LithuaniaHungary Poland Romania Slovenia Slovakia
Share of total population
Emmigration from CESEE
Source: Eurostat.
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Hungary: many factors contributed to the deteriorated quality of human capital
-0.25
-0.20
-0.15
-0.10
-0.05
0.00
0.05
Quality ofeducation
Availabilityof scientists
Earlyleavers
PISA On the jobtraining
Tertiaryeducation
Lifeexpectancy
Healthexpenditure
Secondaryeducation
HU
Contribution to change vis-a-vis the EU average 2007-2013 in standard deviations
Human capital divergence breakdown - Hungary
Source: Author's calculations.
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-0.25
-0.20
-0.15
-0.10
-0.05
0.00
0.05
Quality ofeducation
Availabilityof scientists
Earlyleavers
PISA On the jobtraining
Tertiaryeducation
Lifeexpectancy
Healthexpenditure
Secondaryeducation
HU SK
Contribution to change vis-a-vis the EU average 2007-2013 in standard deviations
Human capital divergence breakdown - Hungary vs. Slovakia
Source: Author's calculations.26
Slovakia: waning quality of education overshadowed by lack of researchers
-0.25
-0.20
-0.15
-0.10
-0.05
0.00
0.05
Quality ofeducation
Availabilityof scientists
Earlyleavers
PISA On the jobtraining
Tertiaryeducation
Lifeexpectancy
Healthexpenditure
Secondaryeducation
HU SK
Contribution to change vis-a-vis the EU average 2007-2013 in standard deviations
Human capital divergence breakdown - Hungary vs. Slovakia
Source: Author's calculations.
SK:• worst quality of research
institutions in CESEE
• second largest deterioration ofuniversity-industry collaboration(after HR, before HU)
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Estonia: high-tech and innovation leader in CESEE
-0.05
0.00
0.05
0.10
0.15
0.20
0.25
0.30
High-techemployment
High-tech exports Quality ofresearch
institutions
R&D expenditure High-tech patents University -Industry
collaboration
Contribution to change vis-a-vis the EU average 2007-2013 in standard deviationsBreakdown of innovation and R&D conergence in Estonia
Source: Author's calcuations.
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Lithuania: mainly power losses driving environmental protection divergence
-0.50
-0.40
-0.30
-0.20
-0.10
0.00
0.10
Electricpower
transmissionand
distributionlosses
Environmentprotection
expenditure
Air pollution GHGemissions
fromtransport
CO2emissions
Wasterecycling
GHGemissions
compared to1990
Renewableenergy
consumption
Breakdown of environmental protection divergence in Lithuania
Source: Author's calculations.
Contribution to change vis-a-vis the EU average 2007-2013 in standard deviations
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Slovakia: broad-based environmental protection convergence
-0.04
-0.02
0.00
0.02
0.04
0.06
0.08
0.10
Renewableenergy
consumption
GHGemissions
compared to1990
GHGemissions
fromtransport
CO2emissions
Environmentprotection
expenditure
Electricpower
transmissionand
distributionlosses
Air pollution Wasterecycling
Breakdown of environmental protection convergence in Slovakia
Source: Author's calculations.
Contribution to change vis-a-vis the EU average 2007-2013 in standard deviations
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Similar picture in Romania: several factors contributed to environmental protection convergence
-0.02
0.00
0.02
0.04
0.06
0.08
0.10
0.12
Renewableenergy
consumption
GHGemissions
fromtransport
Electricpower
transmissionand
distributionlosses
GHGemissions
compared to1990
Wasterecycling
CO2emissions
Air pollution Environmentprotection
expenditure
Breakdown of environmental protection convergence in Romania
Source: Author's calculations.
Contribution to change vis-a-vis the EU average 2007-2013 in standard deviations
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Structural outlook and risks for the automotive industry• Brexit
• Trade wars (USA – China – EU)
• New emission standards• Falling demand for diesel engines and rising for SUVs increases average CO2
emmission• Massive investment in e-cars necessary• Irreversible structural change (e.g. risky bet of Volkswagen: 70 e-cars in the next 10
years)• Smaller margins and profits due to high prodution costs (and possible fines)• Smaller cars no longer economical
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Structural investment gaps in CESEE in 2016
Structural gap vis-a-vis the EU at the end of the programming period 2007-2013
Human capital
R&D and innovation
Environmental protection
Transport and energy infrastructure
ICT Average
BG -1.2 -0.9 -0.5 -1.1 -0.8 -0.9CZ 0.0 0.0 0.1 0.9 -0.3 0.2EE 0.2 0.2 -0.2 0.0 0.4 0.1HU -0.9 -0.1 0.0 -0.2 -0.7 -0.4LV -0.6 -0.8 0.5 -0.6 -0.4 -0.4LT -0.2 -0.7 0.0 -0.6 0.2 -0.3PL -0.1 -0.8 -0.5 -0.1 -0.6 -0.4RO -1.3 -1.1 0.0 -0.4 -1.2 -0.8SI 0.2 -0.1 -0.1 0.1 -0.3 0.0SK -0.6 -0.7 0.4 -0.1 -0.4 -0.3CESEE avg. -0.4 -0.5 0.0 -0.2 -0.4 -0.3Source: Bubbico, Kollar, Slacik , Focus on European Economic Integration, Q3/2018, Oesterreichische Nationalbank
Average standard deviations from the EU average
Note: Shades of red/green indicate distance below/above the EU average.