economic growth and convergence in the baltic states...
TRANSCRIPT
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DG ECFIN Seminar
“Joining the euro and then? How to ensure economic success after entering the
common currency” 16 June 2015, Vilnius, Lithuania
Economic Growth and Convergence in the Baltic
States: Caught in a Middle Income Trap?
Karsten Staehr
Tallinn University of Technology
All viewpoints personal!
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Menu
1) Setting the scene
2) Growth performance in the Baltics
3) Capital flows and economic growth
4) Puzzling data
5) The middle income trap
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1) Setting the scene
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Figure A.3: GDP per capita, Latin America, index, USA = 100
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80 85 90 95 00 05 10
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Argentina
Brazil
Chile
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Figure A.2: GDP per capita, Asia, index, USA = 100
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80 85 90 95 00 05 10
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100Hong Kong Korea
Malaysia Thailand
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95 96 97 98 99 00 01 02 03 04 05 06 07 08 09 10 11 12 13 14
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Figure A.1: GDP per capita, Baltic states, index, USA = 100
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World Bank (2007)
Middle income trap in some Asian countries…
– Growth spurt followed by growth slowdown
Vivid academic and policy-oriented debate
Next 17½ minutes
Risk that Baltic states are / will be caught in middle
income trap?
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2) Growth performance in the Baltics
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95 96 97 98 99 00 01 02 03 04 05 06 07 08 09 10 11 12 13 14* 15f 16f-15
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Estonia
Latvia
Lithuania
EU15
Figure 1: GDP growth, Baltic states and EU15, percent per year
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Figure 2: Average GDP growth in CEE, 1995-2014, percent per year
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Bulgaria
Czech R
ep.
Estonia
Croatia
Latvia
Lithuania
Hungary
Poland
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Slovenia
Slovakia
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Figure 3: GDP per capita, Baltic states and Sweden, index, EU15 = 100
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95 96 97 98 99 00 01 02 03 04 05 06 07 08 09 10 11 12 13
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Latvia
Lithuania
Sweden
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2) Capital flows and economic growth
But what about the pre-crisis boom?
Rapid economic growth potential for rapid growth?
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Reconstruction after WWII
If fast growth
CA ↓
Measures to stop growth
“Balance of payments constraint” on short-term growth
Thirlwall (1979), World Bank two-gap model (1960s)
Bajo-Rubioa & Díaz-Roldán (PCE, 2009)
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Short-term growth facilitated by capital flows
Economic boom ↑ import ↑ CA ↓
Capital inflow (CA ↓) short-term demand ↑ non-
traded production ↑ demand-driven economic boom
Baltic countries often large current account deficits
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Figure 5: Current account balance, Baltic states, percent of GDP
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95 96 97 98 99 00 01 02 03 04 05 06 07 08 09 10 11 12 13 14-25
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Estonia
Latvia
Lithuania
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Current account balance, percent of GDP
Eco
no
mic
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wth
, p
erce
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per
yea
r
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Figure 6: Current account balance and economic growth, CEE countries,
annual data 1995-2014
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Panel data estimations
11 CEE countries
1995 to 2014
Dependent variable year-to-year economic growth
Explain by:
Current account balance (percent of GDP)
FE + time dummies + control variables
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/15LTthen-show1.ppt 18
Robust to control variables and specification changes
CA ↓ 1 %-point short-term growth ↑ 0.35%-points
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Poland
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Slovakia
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Unadjusted Adjusted for capital flows
Figure 8: Average GDP growth, 1995-2014, unadjusted and adjusted for
capital flows, 11 CEE countries, percent per year
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4) Puzzling data
Growth accounting
Share of per capital output growth explained by:
Growth of capital stock
Total factor productivity (TFP) growth
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Figure 10: Gross fixed capital formation, percent of GDP
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95 96 97 98 99 00 01 02 03 04 05 06 07 08 09 10 11 12 13 140
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Figure 11: Growth in total factor productivity, percent per year
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Estonia
Latvia
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EU15
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5) The middle income trap
Findings
High average growth in the Baltic states
High volatility
Pre-crisis boom made possible by accumulation of net
foreign liabilities
Growth slowdown after crisis
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If economic growth slowdown
Why?
Could it be long-lasting…
– … or will Baltic states return to 5-8% growth?
The middle income trap!
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Theoretical rationalisation of the middle income trap
(Agenor et al. 2012)
Simple production because no highly educated
specialists
Little education because few knowledge-based jobs
Trap!
Same reasoning
Infrastructure, honest business practices, intellectual
property rights, flexible labour markets
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Empirical evidence (Eichengreen et al. 2013, Aiyar et al. 2013)
Logit estimations on panel data for “all countries” from 1955
Middle income gap more likely if:
– Emerging from financial crisis
– Small share of population with tertiary education
– Large old-age dependency burden
– Low-tech export
– Low investment ratio
– Weak institutions
(++)
(+)
(0/+)
(++)
(?)
(+)
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My conclusion
Risk that current slowdown could evolve into longer-
lasting middle income gap
Measures to lower risk of middle income gap
…
Tertiary education
Developing universities as research centres
Lifelong learning
Macroeconomic stability
Public investment (roads, city infrastructure)
Anti-corruption
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Final comments
Time to augment the “neoclassical growth model”?
Time to invest into future?
Time for more inclusive societies?
“War of attrition”
– Tripartite agreements in Ireland (1980s), Finland
(early 1990s), South Korea (late 1990s)
“Productivity commissions”
– Suggestions for productivity enhancing policies
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Last page
Karsten Staehr
Tallinn University of Technology
Homepage: http://www.ttu.ee/karsten-staehr
E-mail: [email protected]