Economic convergence in the European Union at the regional level with particular attention to the impact of the COVID-19 pandemic – a spatio-temporal approach
DOI:
https://doi.org/10.12775/bgss-2024-0005Keywords
COVID-19 pandemic, regional studies, European Union, regional convergence, spatial modelsAbstract
The study presents an analysis of the impact of the COVID-19 pandemic on the economic convergence in the European Union (EU). It is widely known that every crisis can have a negative influence on the economic development of a country or region. This research analysed data for 233 EU regions on the NUTS-2 level in the years 2000-2020.analyzed To verify the occurrence of the convergence process, the spatio-temporal β-convergence models for pooled time series and cross-sectional data (TSCS) were estimated. Expanding
the convergence models with the dummy variables characterising two critical crises in the analysed period (the global financial crisis in 2007-2009 and the start of the COVID-19 pandemic in 2020) allowed us to verify their impact on the regional convergence process
in the EU. The main aim of this research is to assess the influence of presented crises on the economic convergence between EU regions. Because regions cooperate, the spatial element of the β-convergence models was also included. The additional aspect of the study is the comparison of the differences in strength of the influence of the mentioned crises on economic convergence.
References
Alexa, D., Cismas, L.M., Rus, A.V. & Silaghi, M.I.P. (2019). Economic growth, competitiveness and convergence in the European regions. A spatial model estimation. Economic Computation and Economic Cybernetics Studies and Research, 53(1): 107–124. DOI: https://doi.org/10.24818/18423264/53.1.19.07.
Andor, L. (2019). Fifteen years of convergence: East-West Imbalance and what the EU should do about It. Intereconomics, 54(1): 18-23. DOI: https://doi.org/10.1007/s10272-019-0785-4.
Apergis, E. & Apergis, N. (2021). The impact of COVID-19 on economic growth: evidence from a Bayesian Panel Vector Autoregressive (BPVAR) model. Applied Economics, 53(58): 6739–6751. DOI: https://doi.org/10.1080/00036846.2021.1946479.
Arbia, G. & Paelinck, J.H.P. (2003). Spatial econometric modeling of regional convergence in continuous time. International Regional Science Review, 26(3): 342–362. DOI: https://doi.org/10.1177/0160017603255974.
Asare Vitenu-Sackey, P. & Barfi, R. (2021). The Impact of Covid-19 Pandemic on the Global Economy: Emphasis on Poverty Alleviation and Economic Growth. The Economics and Finance Letters, 8(1): 32–43. DOI: https://doi.org/10.18488/journal.29.2021.81.32.43.
Badinger, H., Müller, W.G. & Tondl, G. (2004). Regional convergence in the European Union 1985-1999: A spatial dynamic panel analysis. Regional Studies, 38(3): 241–253. DOI: https://doi.org/10.1080/003434042000211105.
Barca, F., Mccann, P. & Rodríguez-Pose, A. (2012). The case for regional development intervention: Place-based versus place-neutral approaches. Journal of Regional Science, 52(1): 134–152. DOI: https://doi.org/10.1111/j.1467-9787.2011.00756.x.
Barro, R.J. & Sala-i-Martin, X. (1992). Convergence. Journal of Political Economy, 100(2): 223–251. DOI: https://doi.org/10.1086/261816.
Bouayad-Agha, S. & Lionel, V. (2010). Estimation strategies for a spatial dynamic panel using gmm. a new approach to the convergence issue of european regions. Spatial Economic Analysis, 5(2): 205–227. DOI: https://doi.org/10.1080/17421771003730711.
Brown, K.M., Lewis, J.Y. & Davis, S.K. (2021). An ecological study of the association between neighborhood racial and economic residential segregation with COVID-19 vulnerability in the United States’ capital city. Annals of Epidemiology 59: 33–36. DOI: https://doi.org/10.1016/j.annepidem.2021.04.003.
Cartone, A., Postiglione, P. & Hewings, G.J.D. (2021). Does economic convergence hold? A spatial quantile analysis on European regions. Economic Modelling, 95: 408–417. DOI: https://doi.org/10.1016/j.econmod.2020.03.008.
Cressie, N.A.C. (1993). Statistics for Spatial Data. John Wiley & Sons, INC.
Díaz Dapena, A., Rubiera-Morollon, F. & Paredes, D. (2019). New Approach to Economic Convergence in the EU: A Multilevel Analysis from the Spatial Effects Perspective. International Regional Science Review, 42(3–4): 335–367. DOI: https://doi.org/10.1177/0160017618804010.
Egri, Z. & Tánczos, T. (2018). The spatial peculiarities of economic and social convergence in Central and Eastern Europe. Regional Statistics, 8(1): 49–77. DOI: https://doi.org/10.15196/RS080108.
Flores-Chamba, J., Correa-Quezada, R., álvarez-García, J. & del Río-Rama, M. de la C. (2019). Spatial economic convergence and public expenditure in Ecuador. Symmetry, 11(2). DOI: https://doi.org/10.3390/sym11020130.
Gallup, J. & Sachs, J. (2001). The economic burden of malaria. The American Journal of Tropical Medicine and Hygiene, 64(1): 85–96. DOI: https://doi.org/10.4269/ajtmh.2001.64.85.
Goecke, H. & Hüther, M. (2016). Regional convergence in Europe. Intereconomics, 51: 165-171. DOI: https://doi.org/10.1007/s10272-016-0595-x.
Haynes, P. & Alemna, D. (2023). Convergence Trends in Euro Economies: Financial Crisis Recovery and the COVID-19 Pandemic. Economies, 11(11): 284. DOI: https://doi.org/10.3390/economies11110284.
Joo, H., Maskery, B.A., Berro, A.D., Rotz, L.D., Lee, Y.-K. & Brown, C.M. (2019). Economic Impact of the 2015 MERS Outbreak on the Republic of Korea’s Tourism-Related Industries. Health Security, 17(2): 100–108. DOI: https://doi.org/10.1089/hs.2018.0115.
Kashnitsky, I., de Beer, J. & van Wissen, L. (2020). Economic Convergence In Ageing Europe. Tijdschrift Voor Economische En Sociale Geografie, 111(1): 28–44. DOI: https://doi.org/10.1111/tesg.12357.
Kındap, A. & Dogan, T. (2019). Regional Economic Convergence and Spatial Spillovers in Turkey. International Econometric Review, 11(1): 1–23. DOI: https://doi.org/10.33818/ier.448603.
Kubis, A. & Schneider, L. (2016). Regional Migration, Growth and Convergence – A Spatial Dynamic Panel Model of Germany. Regional Studies, 50(11): 1789–1803. DOI: https://doi.org/10.1080/00343404.2015.1059932.
Kuzmenko, O., Vasylieva, T., Vojtovič, S., Dubcek, A., Chygryn, O. & Snieška, V. (2020). Why do regions differ in vulnerability to Covid-19? Spatial nonlinear modeling of social and economic patterns. Economics & Sociology, 13(4): 318–340. DOI: https://doi.org/10.14254/2071.
Manzi, G., Alsayed, A., Martins, H. & Saibene, G. (2023). Regional economic convergence in federation contexts: a comparative analysis of Brazil and the European Union. Regional Studies, 1-16. DOI: https://doi.org/10.1080/00343404.2023.2167971.
Matczak, A. & Szymańska, D. (2022). Tourist mobility of Polish residents in the context of the COVID-19 pandemic. Bulletin of Geography. Socio-economic Series, 58(58): 183-201 DOI: https://doi.org/10.12775/bgss-2022-0042.
Moran, P.A.P. (1948). The Interpretation of Statistical Maps. Journal of the Royal Statistical Society: Series B (Methodological), 10(2): 243–251. DOI: https://doi.org/10.1111/j.2517-6161.1948.tb00012.x.
Nevima, J. & Melecky, L. (2011). The β-Convergence Analysis of the Visegrad Four NUTS 2 Regions. Mathematical Models and Methods in Modern Science, 48–53.
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. DOI: https://doi.org/10.1111/j.1435-5957.2008.00190.x.
Pardhan, S. & Drydakis, N. (2021). Associating the Change in New COVID-19 Cases to GDP per Capita in 38 European Countries in the First Wave of the Pandemic. Frontiers in Public Health, 8: 582140. DOI: https://doi.org/10.3389/fpubh.2020.582140.
Peshev, P. (2022). Bulgarian NUTS2 Regions’ Beta- and Sigma- Convergence Towards the Eurozone. Journal of Pediatric Pharmacology and Therapeutics, 28(1): 17–34. DOI: https://doi.org/10.37075/EA.2022.1.02.
Peshev, P. & Pirimova, V. (2020). Beta and Sigma – Convergence of Productivity of NUTS 2 Regions in the (EU) Member States from the CEE Region. Economic Alternatives, 1. DOI: https://doi.org/10.37075/ea.2020.1.04.
Piras, G. & Arbia, G. (2007). Convergence in per-capita GDP across EU-NUTS2 regions using panel data models extended to spatial. Statistica, 67(2): 157–172.
Postiglione, P., Cartone, A. & Panzera, D. (2020). Economic convergence in EU NUTS 3 regions: A spatial econometric perspective. Sustainability, 12(17): 6717. DOI: https://doi.org/10.3390/SU12176717.
Rusu, A. (2011). The spatial characteristics of the regional economic convergence in the European Union. Lucrările Seminarului Geografic “Dimitrie Cantemir,” 32: 159–168.
Schabenberger, O. & Gotway, C.A. (2005). Statistical Methods for Spatial Data Analysis. Champion & Hall/CRC.
Senetra, A. & Szczepańska, A. (2022). Has the COVID-19 pandemic led to permanent persistent changes in recreational activity? A case study of a municipal beach. Bulletin of Geography. Socio-Economic Series, 55: 49–66. DOI: https://doi.org/10.12775/bgss-2022-0004.
Siljak, D. & Nagy, S. G. (2018). Economic convergence of the Eastern Partnership countries towards the EU-13. Eastern Journal of European Studies, 9(2).
Simionescu, M. (2015). About regional convergence clubs in the European Union. Zbornik Radova Ekonomskog Fakulteta u Rijeci: Časopis Za Ekonomsku Teoriju i Praksu, 33(1): 67–80.
Soava, G., Mehedintu, A., Sterpu, M. & Grecu, E. (2021). The impact of the COVID-19 pandemic on electricity consumption and economic growth in romania. Energies, 14(9): 2394. DOI: https://doi.org/10.3390/en14092394.
Solow, R.M. (1956). A Contribution to the Theory of Economic Growth. The Quarterly Journal of Economics, 70(1): 65. DOI: https://doi.org/10.2307/1884513.
Szulc, E. & Jankiewicz, M. (2018). Spatio temporal Modelling of the Influence of the Number of Business Entities in Selected Urban Centres on Unemployment in the Kujawsko Pomorskie Voivodeship. Acta Universitatis Lodziensis. Folia Oeconomica, 4(337): 21–37. DOI: https://doi.org/10.18778/0208-6018.337.02.
Vasilyeva, T., Ziółko, A., Kuzmenko, O., Kapinos, A. & Humenna, Y. (2021). Impact of digitalization and the COVID-19 pandemic on the AML scenario: Data mining analysis for good governance. Economics & Sociology, 14(4): 326-354. DOI: https://doi.org/10.14254/2071.
Von Lyncker, K. & Thoennessen, R. (2017). Regional club convergence in the EU: evidence from a panel data analysis. Empirical Economics, 52: 525-553. DOI: https://doi.org/10.1007/s00181-016-1096-2.
Xiang, L., Tang, M., Yin, Z., Zheng, M. & Lu, S. (2021). The COVID-19 Pandemic and Economic Growth: Theory and Simulation. Frontiers in Public Health, 9: 741525. DOI: https://doi.org/10.3389/fpubh.2021.741525.
Zhang, J., Lu, X., Jin, Y. & Zheng, Z.-J. (2020). Hospitals’ responsibility in response to the threat of infectious disease outbreak in the context of the coronavirus disease 2019 (COVID-19) pandemic: Implications for low- and middle-income countries. Global Health Journal, 4(4): 113–117. DOI: https://doi.org/10.1016/j.glohj.2020.11.005.
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