Technological convergence across European regions
DOI:
https://doi.org/10.24136/eq.2020.014Keywords:
technological convergence, TFP, EU regionsAbstract
Research background: Given the pivotal role of innovations and technological progress in shaping the economic development of regions and the crucial significance of spatial dimension of innovation processes at the regional level, the assessment of technological convergence in the regional scope becomes an essential research problem. Technological convergence could be identified on the basis of the analysis of total factor productivity (TFP). The significance of the technological convergence analysis results from the fact that income convergence can be both accelerated or impeded, depending on whether the initial differences in the level of technology (TFP) decrease or increase over time.
Purpose of the article: The aim of the paper is twofold. Firstly, we attempt to develop a theoretical framework for the analysis of the technological convergence. Secondly, we investigate the technological convergence (on the basis of the TFP analysis) across European regions.
Methods: During the first stage of the research, we employ the multiplicatively-complete Färe-Primont index to calculate TFP. The second stage of the study includes estimation of spatial panel models applied to assess the level of technological convergence across European regions. The research sample consists of 273 NUTS 2 European Union (EU) regions over the period 2010? 2016.
Findings & Value added: The results of the study confirm a clear division of Europe into the Western European regions with high TFP values and the Eastern European regions with low TFP level. The research also shows that in the Eastern European regions the process of reducing the differences in the productivity levels is faster than in Western European regions. Since the issue of technological convergence is still not sufficiently explored in the relevant literature our paper attempts to fill a cognitive and methodological gap in the investigation of the technological convergence in the European regional space.
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References
Abreu, M., de Groot, H. L. F., & Florax R. (2005). A meta-analysis of β-convergence: the legendary 2%. Journal of Economic Surveys, 19(3). doi: 10.1111/j.0950-0804.2005.00253.x. DOI: https://doi.org/10.1111/j.0950-0804.2005.00253.x
View in Google Scholar
Aghion P., & Howitt P. (2006). Appropriate growth policies: a unifying framework. Journal of the European Economic Association, 4(2–3). doi: 10.1162/ jeea.2006.4.2-3.269. DOI: https://doi.org/10.1162/jeea.2006.4.2-3.269
View in Google Scholar
Balcerzak, A. P. (2015). Europe 2020 strategy and structural diversity between old and new member states. Application of zero unitarization method for dynamic analysis in the years 2004-2013. Economics and Sociology, 8(2). doi: 10.14254/ 2071-789X.2015/8-2/14. DOI: https://doi.org/10.14254/2071-789X.2015/8-2/14
View in Google Scholar
Balcerzak, A. P., & Pietrzak, M. B. (2016). Quality of institutions and total factor productivity in the European Union. Statistics in Transition New Series, Polish Statistical Association, 17(3). DOI: https://doi.org/10.21307/stattrans-2016-034
View in Google Scholar
Barro, R. J., & Sala-i-Martin, X. (1995). Economic growth. New York: McGraw-Hill.
View in Google Scholar
Bednář, P., & Halásková, M. (2018). Innovation performance and R&D expenditures in Western European regions: divergence or convergence? Journal of International Studies, 11(1). doi:10.14254/2071-8330.2018/11-1/16. DOI: https://doi.org/10.14254/2071-8330.2018/11-1/16
View in Google Scholar
Bernard, A. B., & Jones, Ch. I. (1996). Technology and convergence. Economic Journal, 106(437). doi: 10.2307/2235376. DOI: https://doi.org/10.2307/2235376
View in Google Scholar
Beugelsdijk, S., Klasing, M. J., & Milionis, P. (2018). Regional economic development in Europe: the role of total factor productivity. Regional Studies, 52(4). doi: 10.1080/00343404.2017.1334118. DOI: https://doi.org/10.1080/00343404.2017.1334118
View in Google Scholar
Cameron, G., Proudman, J., & Redding, S. (2005). Technological convergence, R&D, trade and productivity growth. European Economic Review, 49(3). doi: 10.1016/S0014-2921(03)00070-9. DOI: https://doi.org/10.1016/S0014-2921(03)00070-9
View in Google Scholar
Cappelen, A., Castellacci, F., Fagerberg, J., & Verspagen, B. (2003). Regional disparities in income and unemployment in Europe. In B. Fingleton (Ed.). European regional growth. Springer. DOI: https://doi.org/10.1007/978-3-662-07136-6_12
View in Google Scholar
Crescenzi, R., & Rodríguez-Pose, A. (2011). Innovation and regional growth in the European Union. Berlin, Heidelberg and New York: Springer. DOI: https://doi.org/10.1007/978-3-642-17761-3
View in Google Scholar
Del Gatto, M., Di Liberto, A., & Petraglia, C. (2011). Measuring productivity. Journal of Economic Surveys, 25(5). doi: 10.1111/j.1467-6419.2009.00620.x. DOI: https://doi.org/10.1111/j.1467-6419.2009.00620.x
View in Google Scholar
Di Liberto, A., & Usai, S. (2013). TFP convergence across European regions: a comparative spatial dynamics analysis. In R. Crescenzi & M. Percoco (Eds.). Geography, institutions and regional economic performance. Berlin Heidelberg: Springer-Verlag. DOI: https://doi.org/10.1007/978-3-642-33395-8_3
View in Google Scholar
Dowrick, S., & Rogers, M. (2002). Classical and technological convergence: beyond the Solow-Swan growth model. Oxford Economic Papers, 54(3). doi: 10.1093/oep/54.3.369. DOI: https://doi.org/10.1093/oep/54.3.369
View in Google Scholar
Easterly, W., & Levine, R. (2001). It's not factor accumulation: stylized facts and growth models. World Bank Economic Review, 15(2). DOI: https://doi.org/10.1093/wber/15.2.177
View in Google Scholar
European Commission (2010). Europe 2020 a strategy for smart, sustainable and inclusive growth. Communication from the commission, Brussels, 3.3.2010 COM(2010) 2020.
View in Google Scholar
Ezcurra, R., Iraizoz, B., & Pascual, P. (2009). Total factor productivity, efficiency, and technological change in the European regions: a nonparametric approach. Environment and Planning A. Economy and Space, 41(5). doi: 10.1068/a40362. DOI: https://doi.org/10.1068/a40362
View in Google Scholar
Fagerberg, J. (1994). Technology and international differences in growth rates. Journal of Economic Literature, 32(3).
View in Google Scholar
Fingleton, B. (2003). Introduction. In B. Fingleton (Ed.). European regional growth. Springer. DOI: https://doi.org/10.1007/978-3-662-07136-6
View in Google Scholar
Geppert, K., & Stephan, A. (2008). Regional disparities in the European Union: convergence and agglomeration. Papers in Regional Science, 87. doi: 10.1111 /j.1435-5957.2007.00161.x.
View in Google Scholar
Giannetti, M. (2002). The effects of integration on regional disparities: convergence, divergence or both? European Economic Review, 46. doi: 10.1016/ S0014-2921(01)00166-0.
View in Google Scholar
Haider, F., Kunst, R., & Wirl, F. (2020). Total factor productivity, its components and drivers. Empirica. doi: 10.1007/s10663-020-09476-4. DOI: https://doi.org/10.1007/s10663-020-09476-4
View in Google Scholar
Howitt, P. (2000). Endogenous growth and cross-country income differences. American Economic Review, 90(4). doi: 10.1257/aer.90.4.829. DOI: https://doi.org/10.1257/aer.90.4.829
View in Google Scholar
Islam, N. (1995). Growth empirics: a panel data approach. Quarterly Journal of Economics, 110(4). doi: 10.2307/2946651. DOI: https://doi.org/10.2307/2946651
View in Google Scholar
Islam, N. (2003a). Productivity dynamics in a large sample of countries: a panel study. Review of Income and Wealth, 49(2). doi: 10.1111/1475-4991.00085. DOI: https://doi.org/10.1111/1475-4991.00085
View in Google Scholar
Islam, N. (2003b). What have we learnt from the convergence debate? Journal of Economic Surveys, 17(3). doi: 10.1111/1467-6419.00197. DOI: https://doi.org/10.1111/1467-6419.00197
View in Google Scholar
Kisiała, W., & Suszyńska, K. (2017). Economic growth and disparities: an empirical analysis for the Central and Eastern European countries. Equilibrium. Quarterly Journal of Economics and Economic Policy, 12(4). doi: 10.24136/eq.v 12i4.32. DOI: https://doi.org/10.24136/eq.v12i4.32
View in Google Scholar
Lee, L. F., & Yu, J. (2010a). Estimation of spatial autoregressive panel data models with fixed effects. Journal of Econometrics, 154(2). doi:10.1016/j.jeconom. 2009.08.001. DOI: https://doi.org/10.1016/j.jeconom.2009.08.001
View in Google Scholar
Lee, L. F., & Yu, J. (2010b). Some recent developments in spatial panel data models. Regional Science and Urban Economics, 40(5). doi:10.1016/j.regsciurbeco. 2009.09.002. DOI: https://doi.org/10.1016/j.regsciurbeco.2009.09.002
View in Google Scholar
Le Gallo J., & Dall'erba S. (2008). Spatial and sectoral productivity convergence between European regions 1975–2000. Papers in Regional Science, 87. doi: 10.1111/j.1435-5957.2007.00159.x. DOI: https://doi.org/10.1111/j.1435-5957.2007.00159.x
View in Google Scholar
Maffezzoli, M. (2006). Convergence across Italian regions and the role of technological catch-up. Topics in Macroeconomics, 6(1). doi: 10.2202/1534-5998. 1405. DOI: https://doi.org/10.2202/1534-5998.1405
View in Google Scholar
Mankiw, N. G., Romer, D., & Weil, D. (1992). A contribution to the empirics of economic growth. Quarterly Journal of Economics, 107(2). doi: 10.2307/ 2118477. DOI: https://doi.org/10.2307/2118477
View in Google Scholar
Männasoo, K., Hein, H., & Ruubel, R. (2016). Regional productivity convergence in advanced and emerging European economies. Swedish Institute for European Policy Studies, European Policy Analysis, 12.
View in Google Scholar
Männasoo, K., Hein, H., & Ruubel, R. (2018). The contributions of human capital, R&D spending and convergence to total factor productivity growth. Regional Studies, 52(12). doi: 10.1080/00343404.2018.1445848. DOI: https://doi.org/10.1080/00343404.2018.1445848
View in Google Scholar
Marrocu, E., Paci, R., & Usai, S. (2013). Productivity growth in the old and new Europe: the role of agglomeration externalities. Journal of Regional Science, 53(3). doi: 10.1111/jors.12000. DOI: https://doi.org/10.1111/jors.12000
View in Google Scholar
Miller, S. M., & Upadhyay, M. P. (2002). Total factor productivity and the convergence hypothesis. Journal of Macroeconomics, 24. DOI: https://doi.org/10.1016/S0164-0704(02)00022-8
View in Google Scholar
O’Donnell, C. J. (2011). DPIN 3.0. A program for decomposing productivity index numbers. University of Queensland: Queensland.
View in Google Scholar
O’Donnell, C. J. (2012). An aggregate quantity framework for measuring and decomposing productivity change. Journal of Productivity Analysis, 38(3). DOI: https://doi.org/10.1007/s11123-012-0275-1
View in Google Scholar
Otsuka, A., & Goto, M. (2016). Total factor productivity and the convergence of disparities in Japanese regions. Annals of Regional Science, 56. doi: 10.1007/s 00168-016-0745-x. DOI: https://doi.org/10.1007/s00168-016-0745-x
View in Google Scholar
Paci, R., & Pigliaru, F. (2002). Technological diffusion, spatial spillovers and regional convergence in Europe. In J. R. Cuadrado-Roura & M. Parellada (Eds.). Regional convergence in the European Union. Advances in spatial science. Berlin, Heidelberg: Springer. DOI: https://doi.org/10.2139/ssrn.262509
View in Google Scholar
Pietrucha, J., Żelazny, R., Kozłowska, M., & Sojka, O. (2018). Import and FDI as channels of international TFP spillovers. Equilibrium. Quarterly Journal of Economics and Economic Policy, 13(1). doi: 10.24136/eq.2018.003. DOI: https://doi.org/10.24136/eq.2018.003
View in Google Scholar
Ramajo, J., Marquez, M. A., Hewings, G. J. D., & Salinas-Jimenez, M. M. (2008). Spatial heterogeneity and interregional spillovers in the European Union: do cohesion policies encourage convergence across regions? European Economic Review, 52. doi: 10.1016/j.euroecorev.2007.05.006. DOI: https://doi.org/10.1016/j.euroecorev.2007.05.006
View in Google Scholar
Sala-i-Martin, X. (1990). On growth and states. Ph.D. dissertation, Harvard University.
View in Google Scholar
Salinas-Jimenez, M. M., Alvarez-Ayuso, I., & Delgado-Rodriguez, J. (2006). Capital accumulation and TFP growth in the EU: a production frontier approach. Journal of Policy Modeling, 28. doi: 10.1016/j.jpolmod.2005.07.008. DOI: https://doi.org/10.1016/j.jpolmod.2005.07.008
View in Google Scholar
Schatzer, T., Siller, M., & Walde, J. (2019). The impact of model choice on estimates of regional TFP. International Regional Science Review, 42(1). doi: 10.1177/0160017618754311. DOI: https://doi.org/10.1177/0160017618754311
View in Google Scholar
Şeker, M., & Saliola, F. (2018). A cross-country analysis of total factor productivity using micro-level data. Central Bank Review, 18(1). doi: 10.1016/j.cbrev. 2018.01.001. DOI: https://doi.org/10.1016/j.cbrev.2018.01.001
View in Google Scholar
Soszyńska, E. (2012). ENTechnological convergence and socio - technological capabilities in the European Union countries. Metody ilościowe w badaniach ekonomicznych, XIII(3).
View in Google Scholar
Solow, R. M. (1957). Technical change and the aggregate production function. Review of Economics and Statistics, 39(3). doi:10.2307/1926047. DOI: https://doi.org/10.2307/1926047
View in Google Scholar
Tica, J., & Šikić, L. (2019). Endogenous convergence and international technological diffusion channels. South East European Journal of Economics and Business, 14(2). doi: 10.2478/jeb-2019-0012. DOI: https://doi.org/10.2478/jeb-2019-0012
View in Google Scholar
Ze-Lei, X., Xin-ya, D., & Fei, F. (2017). Convergence in China’s high-tech industry development performance: a spatial panel model. Applied Economics, 49(52). doi: 10.1080/00036846.2017.1305091. DOI: https://doi.org/10.1080/00036846.2017.1305091
View in Google Scholar
