Hegerty S.W. 2016. Regional Convergence and Growth Clusters in Central and Eastern Europe: An Examination of Sectoral-Level Data. Eastern European Business and Economics Journal 2(2): 95-110.
Dimitrios DAPONTAS, University of Peloponnese, Greece;
Katalin LIPTÁK, University of Miskolc, Hungary;
Olena SOKOLOVSKA, Institute Of Industrial Economics of National Academy of Sciences of Ukraine, Ukraine.
Neoclassical growth theory suggests that individual Central and Eastern European (CEE) regions should converge with one another, as those with low initial levels of per-capita GDP grow faster than regions with high initial levels. But previous studies show convergence is more likely to occur at the national level than the regional level. In addition, sectoral analysis (particularly in “new economy” industries such as finance) might uncover results that are not found using aggregate data. This study uses spatial regression and “hot spot” analysis for 233 NUTS-3 regions and four individual sectors from 2000 to 2013, testing for regional convergence and the presence of growth clusters. A regression of growth in per-capita gross value added (GVA) on initial levels finds no evidence for “beta convergence,” except for in the construction sector at the country level in a few cases. Growth “hot spots” are found using the Getis-Ord G* statistic for growth for all sectors except industry in the Baltics and for all sectors in Bulgaria and Romania. Low-growth “cold spots” are located in Poland and Croatia. These findings suggest ideal destinations for investment..
Regional Convergence; Central/Eastern Europe; Spatial Statistics; Gross Value Added
Artelaris, P., Kallioras, D., & Petrakos, G. (2010). Regional inequalities and convergence clubs in the European Union new member-states. Eastern Journal of European Studies, 1(1), 1-13.
Azomahou, T.T., El Ouardighi, J., Nguyen-Van, P. & Pham, T.K.C. (2011). Testing convergence of European regions: A semiparametric approach. Economic Modelling, 28(3), 1202-1210.
Boldrin, M., Canova, F. Pischke, J.-S. & Puga, D. (2001). Inequality and convergence in Europe's regions: Reconsidering European regional policies. Economic Policy, 16(32), 205 and 207-253.
Chapman, S.A., Cosci, S., & Mirr, L. (2012). Income dynamics in an enlarged Europe: The role of capital regions. The Annals of Regional Science, 48(3), 663-693.
Corrado, L., Martin, R., & Weeks, M. (2005). Identifying and interpreting regional convergence clusters across Europe. The Economic Journal, 115(502), Conference Papers C133-C160.
Dall’erba, S. (2005). Productivity convergence and spatial dependence among Spanish regions. Journal of Geographical Systems, 7, 207–227.
Ezcurra, R. & Rapún, M., (2007). Regional dynamics and convergence profiles in the enlarged European Union: A Non-parametric approach. Tijdschrift voor Economische en Sociale Geografie, 98(5), 564–584.
Ezcurra, R. & Pascual, P. (2007). Spatial disparities in productivity in Central and Eastern Europe. Eastern European Economics, 45(3), 5-32.
Le Gallo, J. & Ertur, C. (2003). Exploratory spatial data analysis of the distribution of regional per capita GDP in Europe, 1980–1995. Papers in Regional Science, 82, 175- 201.
Le Gallo, J. & Dall’erba, S. (2006). Evaluating the temporal and spatial heterogeneity of the European convergence process. 1980–1999, Journal of Regional Science, 46(2), 269 288.
Le Gallo, J., and Dall’erba, S. (2008). Spatial and sectoral productivity convergence between European regions. 1975–2000, Papers in Regional Science, 87(4), 505-525.
LeSage, J.P. (2014). What Regional scientists need to know about spatial econometrics. The Review of Regional Studies, 44(1), 13-32.
Mikulić, D., Lovrinčević, Ž., & Nagyszombaty, A.G. (2013). Regional convergence in the European Union, New Member States and Croatia. South East European Journal of Economics and Business, 8(1), 7-19.
Mora, T., Vayá, E. & Suriñach, J. (2004). The enlargement of the European Union and the spatial distribution of economic activity. Eastern European Economics, 42(5), 6-35.
Olejnik, A. (2008). Using the Spatial Autoregressively Distributed Lag Model in Assessing the Regional Convergence of Per-Capita income in the EU25. Papers in Regional Science, 87(3), 371-384.
Petrakos, G. (2001) Patterns of regional inequality in transition economies, European Planning Studies, 9(3), 359-383.
Petrakos G. & Economou D. (2002). The spatial aspects of development in Southeastern Europe. Spatium, 8, 1-13.
Petrakos, G., Kallioras, D., & Anagnostou, A. (2011) Regional convergence and growth in europe: understanding patterns and determinants. European Urban and Regional Studies, 18(4), 375-391.
Sassi, M. (2010). OLS and GWR approaches to agricultural convergence in the EU-15. International Advances in Economic Research, 16, 96–108.
Smętkowski, M. & Wójcik, P. (2012). Regional convergence in Central and Eastern European countries: A multidimensional approach. European Planning Studies, 20(6), 923-939
Tselios, V. (2009), Growth and convergence in Income Per Capita and income inequality in the regions of the EU. Spatial Economic Analysis, 4(3), 343-370.
Tsionas, E.G. (2000). Productivity Convergence in Europe, Eastern Economic Journal, 26(3), 297-320
Villaverde, J. & Maza, A. (2008). Productivity convergence in the European regions, 1980-2003: A sectoral and spatial approach. Applied Economics, 40, 1299–1313.