CONVERGENCE CLUBS OF NUTS3 REGIONS OF THE V4 GROUP
dc.contributor.author | Szakálné Kanó, Izabella | |
dc.contributor.author | Lengyel, Imre | |
dc.contributor.other | Ekonomická fakulta | cs |
dc.date.accessioned | 2021-12-09T09:34:57Z | |
dc.date.available | 2021-12-09T09:34:57Z | |
dc.description.abstract | In this study, we analyse economic growth and structural change between 2000 and 2016 in the NUTS3 regions of the four countries forming the Visegrad Group (V4) and joining the European Union in 2004, Czechia, Poland, Hungary, and Slovakia. Our examination considers whether convergence can be observed in the case of the regions in the V4 countries over about one and a half decades, i.e., whether less developed regions catch up with more developed ones. Whether the economic growth of the regions took place at a relatively steady pace similar to that of the countries, or if there is a divide between the groups of regions (convergence clubs), which converge to different steady states. If there are convergence clubs, are the economic structure and workforce base of the clubs similar or different. Our study has two steps; first, we divide the 115 NUTS3 regions into convergence clubs with Phillips and Sul’s 2007 logt-test method, presenting the characteristics of their economic growth. We then conducted entropy calculations to test the robustness of the clubs, which provided information on the disparities inside and between the clubs, as well as inside and between the countries. Next, we present the economic structure and urbanrural types of clubs, covering the main characteristics of their labour force base and what factors the transition from one club to another depends on. The main conclusion of our study is that the five convergence clubs are completely separate and their economic structure and labour force base are also different. | en |
dc.format | text | |
dc.identifier.doi | 10.15240/tul/001/2021-4-002 | |
dc.identifier.eissn | 2336-5604 | |
dc.identifier.issn | 1212-3609 | |
dc.identifier.uri | https://dspace.tul.cz/handle/15240/161023 | |
dc.language.iso | en | |
dc.publisher | Technická Univerzita v Liberci | cs |
dc.publisher | Technical university of Liberec, Czech Republic | en |
dc.publisher.abbreviation | TUL | |
dc.relation.isbasedon | Aksoy, T., Taştan, H., & Kama, Ö. (2019). Revisiting income convergence in Turkey: Are there convergence clubs? Growth and Change, 50(2), 1185–1217. https://doi.org/10.1111/ grow.12310 | |
dc.relation.isbasedon | Alexiadis, S. (2013). Convergence Clubs and Spatial Externalities. Heidelberg: Springer. https://doi.org/10.1007/978-3-642-31626-5 | |
dc.relation.isbasedon | Apergis, N., Panopoulou, E., & Tsoumas, C. (2010). Old Wine in a New Bottle: Growth Convergence Dynamics in the EU. Atlantic Economic Journal, 38(2), 169–181. https://doi. org/10.1007/s11293-010-9219-1 | |
dc.relation.isbasedon | Anselin, L. (1995). Local Indicators of Spatial Association – LISA. Geographical Analysis, 27(2), 93–115. https://doi. org/10.1111/j.1538-4632.1995.tb00338.x | |
dc.relation.isbasedon | Artelaris, D., Kallioras, D., & Petrakos, D. (2010). Regional Inequalities and Convergence Clubs in the European Union New Member States. Eastern Journal of European Studies, 1(1), 113–133. https://doi.org/10.1080/1359756 6.2020.1809382 | |
dc.relation.isbasedon | Barrios, C., Flores, E., & Martínez, M. A. (2019). Club convergence in innovation activity across European regions. Papers in Regional Science, 98(4), 1545–1565. https://doi.org/10.1111/pirs.12429 | |
dc.relation.isbasedon | Barro, R. J., & Sala-i-Martin, X. (1995). Economic Growth Theory. Boston, MA: McGraw- Hill. | |
dc.relation.isbasedon | Bartkowska, M., & Riedl, A. (2012). Regional convergence clubs in Europe: Identification and conditioning factors. Economic Modelling, 29(1), 22–31. https://doi.org/10.1016/j. econmod.2011.01.013 | |
dc.relation.isbasedon | Baumol, W. J. (1986). Productivity growth, convergence and welfare: What the long run data show? The American Economic Review, 76(5), 1072–1185. | |
dc.relation.isbasedon | Borsekova, K., Korony, S., & Nijkamp, P. (2021). Traces of the Iron Curtain: A multivariate analysis of regional cohesion in Europe. Socio-Economic Planning Science (In Press). https://doi.org/10.1016/j. seps.2021.101040 | |
dc.relation.isbasedon | Borsi, M. T., & Metiu, M. (2015). The evolution of economic convergence in the European Union. Empirical Economics, 48, 657–681. https://doi.org/10.1007/s00181-014-0801-2 | |
dc.relation.isbasedon | Breinlich, H., Ottaviano, G. I., & Temple, J. R. (2014). Regional Growth and Regional Decline. In P. Aghion, & S. Durlauf (Eds.), Handbook of Economic Growth (Vol. 2A, pp. 683–779). Amsterdam: North-Holland. https:// doi.org/10.1016/b978-0-444-53540-5.00004-5 | |
dc.relation.isbasedon | Brzáková, K., & Kraft, J. (2017). Economic Context of European Subsidies and Their Impact on Regional Economic Disparities on the Example of the Czech Republic. E&M Economics and Management, 20(2), 65–76. https://doi.org/10.15240/tul/001/2017-2-005 | |
dc.relation.isbasedon | Cressie, N. A. (1993). Statistics for Spatial Data. New York, NY: John Wiley & Sons. | |
dc.relation.isbasedon | Cutrini, E. (2019). Economic integration, structural change, and uneven development in the European Union. Structural Change and Economic Dynamics, 50, 102–113. https://doi. org/10.1016/j.strueco.2019.06.007 | |
dc.relation.isbasedon | Dall’Erba, S., Percoco, M., & Piras, G. (2008). The European Regional Growth Process Revisited. Spatial Economic Analysis, 3(1), 7–25. https://doi.org/10.1080/17421770701733399 | |
dc.relation.isbasedon | Du, K. (2017). Econometric Convergence Test and Club Clustering Using Stata. The Stata Journal, 17(4), 882–900. https://doi. org/10.1177/1536867X1801700407 | |
dc.relation.isbasedon | Ertur, C., & Le Gallo, J. (2009). Regional growth and convergence: heterogeneous reaction versus interaction in spatial econometric approaches. In R. Capello, & P. Nijkamp (Eds.), Handbook of Regional Growth and Development Theories (pp. 374–388). Cheltenham: Edward Elgar. https://doi.org/10.4337/9781848445987.00028 | |
dc.relation.isbasedon | Eurofound. (2018). Upward convergence in the EU: Concepts, measurements and indicators (Report). Luxembourg: Publications Office of the European Union. | |
dc.relation.isbasedon | Fischer, M., & Stirböck, C. (2006). Pan- European regional income growth and clubconvergence. The Annals of Regional Science, 40(4), 693–721. https://doi.org/10.1007/ s00168-005-0042-6 | |
dc.relation.isbasedon | Fischer, M., & Stumpner, M. (2010). Income distribution dynamics and crossregion convergence in Europe. In M. Fischer, & A. Getis (Eds.), Handbook of Applied Spatial Analysis (pp. 599–628). Heidelberg: Springer. https://doi.org/10.1007/978-3-642-03647-7_29 | |
dc.relation.isbasedon | Frenken, K. (2007). Entropy Statistics and Information Theory. In H. Hanusch, & A. Pyka (Eds.), The Elgar Companion to Neo- Schumpeterian Economics (pp. 544–555). Cheltenham: Edward Elgar. https://doi. org/10.4337/9781847207012.00042 | |
dc.relation.isbasedon | Ghosh, M., Ghoshray, A., & Malki, M. (2013). Regional divergence and club convergence in India. Economic Modelling, 30, 733–742. https://doi.org/10.1016/j.econmod.2012.10.008 | |
dc.relation.isbasedon | Halmai, P., & Vásáry, V. (2012). Convergence crises: economic crises and convergence in the European Union. International Economics and Economic Policy, 9(3–4), 297–322. https://doi. org/10.1007/s10368-012-0218-3 | |
dc.relation.isbasedon | Hamit-Haggar, M. (2013). A note on convergence across Canadian provinces: New insights from the club clustering algorithm. The Annals of Regional Science, 50, 591–601. https://doi.org/10.1007/s00168-012-0500-x | |
dc.relation.isbasedon | Kallioras, D., & Petrakos, D. (2010). Industrial growth, economic integration and structural change: Evidence from the EU new member-states regions. The Annals of Regional Science, 45(3), 667–680. https://doi. org/10.1007/s00168-009-0296-5 | |
dc.relation.isbasedon | Le Gallo, J., & Fingleton, B. (2014). Regional Growth and Convergence Empirics. In M. Fischer, & P. Nijkamp (Eds.), Handbook of Regional Science (pp. 291–315). Heidelberg: Springer. https://doi.org/10.1007/978-3-642-23430-9_17 | |
dc.relation.isbasedon | Lengyel, I. (2017). Competitive and uncompetitive regions in transition economies: The case of the Visegrad post-socialist countries. In R. Huggins, & P. Thompson (Eds.), Handbook of Regions and Competitiveness. Contemporary Theories and Perspectives on Economic Development (pp. 398–415). Cheltenham: Edward Elgar. https://doi. org/10.4337/9781783475018.00026 | |
dc.relation.isbasedon | Lengyel, I., & Kotosz, B. (2018). The catching up processes of the regions of the Visegrad Group countries. Comparative Economic Research, 21(4), 5–24. https://doi. org/10.2478/cer-2018-0024 | |
dc.relation.isbasedon | LeSage, J. P., & Fischer, M. M. (2009). Spatial Growth Regressions: Model Specification, Estimation and Interpretation. Spatial Economic Analysis, 3(3), 275–304. https://doi.org/10.1080/17421770802353758 | |
dc.relation.isbasedon | Mendoza-Velázquez, A., German-Soto, V., Monfort, M., & Ordóñez, J. (2019). Club convergence and inter-regional inequality in Mexico, 1940–2015. Applied Economics, 52(6), 598–608. https://doi.org/10.1080/00036846.20 19.1659491 | |
dc.relation.isbasedon | Monastiriotis, V. (2014). Regional Growth and National Development: Transition in Central and Eastern Europe and the Regional Kuznets Curve in the East and the West. Spatial Economic Analysis, 9(2), 142–161. https://doi. org/10.1080/17421772.2014.891156 | |
dc.relation.isbasedon | Monfort, M., Cuesta, J. C., & Ordónez, J. (2013). Real convergence in Europe: A cluster analysis. Economic Modelling, 33, 689–694. https://doi.org/10.1016/j.econmod.2013.05.015 | |
dc.relation.isbasedon | Moran, P. A. P. (1950). Notes on Continuous Stochastic Phenomena. Biometrika, 37(1/2), 17–23. https://doi.org/10.2307/2332142 | |
dc.relation.isbasedon | Nagy, B., Lengyel, I., & Udvari, B. (2020). Reindustrialisation patterns in the postsocialist EU members: A comparative study between 2000 and 2017. European Journal of Comparative Economics, 17(2), 253–275. | |
dc.relation.isbasedon | Phillips, P., & Sul, D. (2007). Transition Modeling and Econometric Convergence Tests. Econometrica, 75(6), 1771–1855. https://doi. org/10.1111/j.1468-0262.2007.00811.x | |
dc.relation.isbasedon | Quah, D. (1996). Regional convergence clusters across Europe. European Economic Review, 40(3–5), 951–958. https://doi. org/10.1016/0014-2921(95)00105-0 | |
dc.relation.isbasedon | Sala-i-Martin, X. X. (1996). Regional cohesion: Evidence and theories of regional growth and convergence. European Economic Review, 40(6), 1325–1352. https://doi. org/10.1016/0014-2921(95)00029-1 | |
dc.relation.isbasedon | Smetkowski, M. (2018). The role of exogenous and endogenous factors in the growth of regions in Central and Eastern Europe: the metropolitan/non-metropolitan divide in the pre- and post-crisis era. European Planning Studies, 26(2), 256–278. https://doi.or g/10.1080/09654313.2017.1361585 | |
dc.relation.isbasedon | Smetkowski, M., & Wójcik, P. (2012). Regional Convergence in Central and Eastern European Countries? A Multidimensional Approach. European Planning Studies, 20(6), 923–939. https://doi.org/10.1080/09654313.20 12.673560 | |
dc.relation.isbasedon | Theil, H. (1967). Economics and Information Theory. Amsterdam: North-Holland. https://doi. org/10.2307/2230396 | |
dc.relation.isbasedon | von Lyncker, K., & Thoennessen, R. (2017). Regional club convergence in the EU: Evidence from a panel data analysis. Empirical Economics, 52(2), 525–553. https://doi. org/10.1007/s00181-016-1096-2 | |
dc.relation.isbasedon | Zdražil, P., & Applová, P. (2016). Growth Disparities among Regions of the Visegrad Group Countries: An Evidence of Their Extent and Nature. E&M Economics and Management, 19(2), 37–54. https://doi.org/10.15240/ tul/001/2016-2-003 | |
dc.relation.isbasedon | Zhang, W., Xu, W., & Wang, X. (2019). Regional convergence clubs in China: identification and conditioning factors. The Annals of Regional Science, 62(1), 327–350. https://doi.org/10.1007/s00168-019-00898-y | |
dc.relation.ispartof | Ekonomie a Management | cs |
dc.relation.ispartof | Economics and Management | en |
dc.relation.isrefereed | true | |
dc.rights | CC BY-NC | |
dc.subject | club convergence | en |
dc.subject | Visegrad Group countries | en |
dc.subject | log-t regression test | en |
dc.subject | structural change | en |
dc.subject.classification | C23 | |
dc.subject.classification | O18 | |
dc.subject.classification | R11 | |
dc.title | CONVERGENCE CLUBS OF NUTS3 REGIONS OF THE V4 GROUP | en |
dc.type | Article | en |
local.access | open | |
local.citation.epage | 38 | |
local.citation.spage | 22 | |
local.faculty | Faculty of Economics | |
local.fulltext | yes | |
local.relation.abbreviation | E+M | cs |
local.relation.abbreviation | E&M | en |
local.relation.issue | 4 | |
local.relation.volume | 24 |
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