The influence of educational attainment on convergence in Spanish and Portuguese regions

  1. Melchor Ferrer, Elías 1
  1. 1 Universidad de Granada
    info

    Universidad de Granada

    Granada, España

    ROR https://ror.org/04njjy449

Revista:
Investigaciones Regionales = Journal of Regional Research

ISSN: 1695-7253,  2340-2717

Año de publicación: 2019

Número: 45

Páginas: 119-137

Tipo: Artículo

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Otras publicaciones en: Investigaciones Regionales = Journal of Regional Research

Resumen

En este artículo se analiza la convergencia regional entre las regiones españolas y portuguesas NUTS-3 durante el periodo 2000-2015, prestando especial atención a la dependencia espacial existente entre dichas unidades, así como al papel del nivel educativo en dicho proceso. Después de unas consideraciones relativas al modelo a estimar, el análisis exploratorio de datos espaciales permite detectar la existencia de dos clústeres regionales en Producto Regional por habitante: regiones de renta alta (situadas en el tercio nororiental de la península ibérica) y las regiones de renta baja. Tras explorar diferentes modelizaciones que integran el nivel educativo para ambos clústeres, los resultados obtenidos nos permiten afirmar la existencia de convergencia regional, así como estimar los desbordamientos espaciales que derivan de ese proceso, también diferentes para ambos clústeres. En concreto, se observa el efecto positivo que la educación terciaria tiene en el refuerzo de la convergencia en renta para el clúster de renta alta, mientras que para el de renta baja dicho papel lo desempeña en buena medida la educación secundaria, pero en sentido contrario.

Referencias bibliográficas

  • Anselin, L. (1988). Spatial econometrics: Methods and models. Netherlands: Springer Science & Business Media. https://doi.org/10.1007/978-94-015-7799-1
  • 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
  • Anselin, L. (2003). An introduction to spatial autocorrelation analysis with GeoDa. Champagne-Urbana, Illinois: Spatial Analysis Laboratory, University of Illinois. http://www.utd.edu/~briggs/poec6382/geoda_spauto.pdf
  • Arbia, G. (2006). Spatial econometrics: Statistical foundations and applications to regional convergence. Berlin Heidelberg: Springer Verlag.
  • Badia-Miró, M., Guilera, J., & Lains, P. (2012). Regional incomes in Portugal: Industrialisation, integration and inequality, 1890-1980. Revista De Historia Económica/Journal of Iberian and Latin American Economic History (New Series), 30(02), 225-244. https://doi.org/10.1017/S0212610912000080
  • Bancaja Foundation, & Ivie (The Valencian Institute of Economic Research). (2014). Capital humano en España y su distribución provincial. January 2014. Database available at: http://www.ivie.es/es/banco/caphum/series.php
  • Barro, R. J., & Sala-i-Martin, X. (1990). Economic growth and convergence across the United States. Cambridge, MA: National Bureau of Economic Research. https://doi.org/10.3386/w3419
  • Barro, R. J., & Sala-i-Martin, X. (1992). Convergence. Journal of Political Economy, 100(2), 223-251. https://doi.org/10.1086/261816
  • Borsi, M. T., & Metiu, N. (2015). The evolution of economic convergence in the European Union. Empirical Economics, 48(2), 657-681. https://doi.org/10.1007/s00181-014-0801-2
  • Buendía Azorín, J. D., & Sánchez de la Vega, M.M. (2015). Efectos del capital humano sobre la productividad del trabajo bajo condiciones de dependencia espacial: El caso de las provincias españolas. Información Comercial Española, (883), 183-195. http://www.revistasice.com/index.php/ICE/article/view/1769/1769
  • Cardoso, C., & Pentecost, E. J. (2011). Regional growth and convergence: The role of human capital in the Portuguese regions. Loughborough University Department of Economics Discussion Paper Series, 3. http://www.lboro.ac.uk/departments/sbe/RePEc/lbo/lbowps/CardosoandPentecost.pdf
  • Crespo Cuaresma, J., Doppelhofer, G., Huber, F., & Piribauer, P. (2018). Human capital accumulation and long‐term income growth projections for European regions. Journal of Regional Science, 58(1), 81-99. https://doi.org/10.1111/jors.12339
  • Crespo Cuaresma, J., Havettová, M., & Lábaj, M. (2013). Income convergence prospects in Europe: Assessing the role of human capital dynamics. Economic Systems, 37(4), 493-507. https://doi.org/10.1016/j.ecosys.2013.02.004
  • Elhorst, J. P. (2003). Specification and estimation of spatial panel data models. International Regional Science Review, 26(3), 244-268. https://doi.org/10.1177/0160017603253791
  • Elhorst, J. P. (2010a). Applied spatial econometrics: Raising the bar. Spatial Economic Analysis, 5(1), 9-28. https://doi.org/10.1080/17421770903541772
  • Elhorst, J. P. (2010b). Spatial panel data models. In M. M. Fischer, & A. Getis (Eds.), Handbook of applied spatial analysis. Software tools, methods and applications (pp. 377-408). New York: Springer. https://doi.org/10.1007/978-3-642-03647-7_19
  • Elhorst, J. P. (2014). Spatial econometrics: From cross-sectional data to spatial panels. New York: Springer Heidelberg. https://doi.org/10.1007/978-3-642-40340-8
  • Elhorst, J. P., Zandberg, E., & De Haan, J. (2013). The impact of interaction effects among neighbouring countries on financial liberalization and reform: A dynamic spatial panel data approach. Spatial Economic Analysis, 8(3), 293-313. https://doi.org/10.1080/17421772.2012.760136
  • Ertur, C., & Koch, W. (2007). Growth, technological interdependence and spatial externalities: Theory and evidence. Journal of Applied Econometrics, 22(6), 1033-1062. https://doi.org/10.1002/jae.963
  • Ezcurra, R., & Rios, V. (2015). Volatility and regional growth in Europe: Does space matter? Spatial Economic Analysis, 10(3), 344-368. https://doi.org/10.1080/17421772.2015.1062123
  • Fingleton, B., & López‐Bazo, E. (2006). Empirical growth models with spatial effects. Papers in Regional Science, 85(2), 177-198. https://doi.org/10.1111/j.1435-5957.2006.00074.x
  • Fleisher, B., Li, H., & Zhao, M. Q. (2010). Human capital, economic growth, and regional inequality in China. Journal of Development Economics, 92(2), 215-231. https://doi.org/10.1016/j.jdeveco.2009.01.010
  • Geppert, K., & Stephan, A. (2008). Regional disparities in the European Union: Convergence and agglomeration. Papers in Regional Science, 87(2), 193-217. https://doi.org/10.1111/j.1435-5957.2007.00161.x
  • Gibbons, S., & Overman, H. G. (2012). Mostly pointless spatial econometrics? Journal of Regional Science, 52(2), 172-191. https://doi.org/10.1111/j.1467-9787.2012.00760.x
  • Gómez-Antonio, M., & Fingleton, B. (2012). Regional productivity variation and the impact of public capital stock: An analysis with spatial interaction, with reference to Spain. Applied Economics, 44(28), 3665-3677. https://doi.org/10.1080/00036846.2011.579068
  • Guerreiro, G. (2013). (2013). Regional income convergence in Portugal (1991-2002). Paper presented at the Fifth Meeting of the Society for the Study of Economic Inequality (ECINEQ). Italy: University of Bari. https://doi.org/10.1108/S1049-258520140000022011
  • Kubis, A., & Schneider, L. (2012). Human capital mobility and convergence: A spatial dynamic panel model of the German regions. Nuremberg, Germany: Technical report, Institut für Arbeitsmarkt-und Berufsforschung (IAB), Discussion Paper. http://doku.iab.de/discussionpapers/2012/dp2312.pdf
  • Kutan, A. M., & Yigit, T. M. (2007). European integration, productivity growth and real convergence. European Economic Review, 51(6), 1370-1395. https://doi.org/10.1016/j.euroecorev.2006.11.001
  • Lacombe, D. J., & LeSage, J. P. (2015). Using Bayesian posterior model probabilities to identify omitted variables in spatial regression models. Papers in Regional Science, 94(2), 365-383. https://doi.org/10.1111/pirs.12104
  • 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(2), 175-201. https://doi.org/10.1007/s101100300145
  • Leenders, R. T. A. (2002). Modeling social influence through network autocorrelation: Constructing the weight matrix. Social Networks, 24(1), 21-47. https://doi.org/10.1016/S0378-8733(01)00049-1
  • LeSage, J. P. (2008). An introduction to spatial econometrics. Revue D'Économie Industrielle, (123), 19-44. https://doi.org/10.4000/rei.3887
  • LeSage, J. P., & Fischer, M. M. (2008). Spatial growth regressions: Model specification, estimation and interpretation. Spatial Economic Analysis, 3(3), 275-304. https://doi.org/10.1080/17421770802353758
  • LeSage, J. P., & Pace, R. K. (2009). Introduction to spatial econometrics (statistics, textbooks and monographs) CRC Press. https://doi.org/10.1201/9781420064254
  • Ligthart, J. E. (2002). Public capital and output growth in Portugal. an empirical analysis. European Review of Economics and Finance, 1(September), 3-30. https://www.imf.org/~/media/Websites/IMF/imported-full-text-pdf/external/pubs/ft/wp/2000/_wp0011.ashx
  • Lopez-Bazo, E. (2017). Growth and convergence across economies: The experience of the European regions. In B. Fingleton, A. Eraydin, R. Paci (eds.) (Ed.), Regional economic growth, SMEs and the wider Europe (pp. 65-90) London: Routledge. https://doi.org/10.4324/9781315197869-3
  • López-Bazo, E., Vayá, E., Mora, A. J., & Surinach, J. (1999). Regional economic dynamics and convergence in the European Union. The Annals of Regional Science, 33(3), 343-370. https://doi.org/10.1007/s001680050109
  • Marelli, E. (2007). Specialisation and convergence of European regions. The European Journal of Comparative Economics, 4(2), 149-178. http://eaces.liuc.it/18242979200702/182429792007040203.pdf
  • Martinho, Vítor João Pereira Domingues. (2011). Net migration and convergence in Portugal. an alternative analysis. MPRA Paper 32801. Germany: University Library of Munich. https://mpra.ub.uni-muenchen.de/32801/1/MPRA_paper_32801.pdf
  • Melchor-Ferrer, E. (2018). Regional convergence and productive structure in Iberian regions: A spatial approach. Portuguese Review of Regional Studies, (47), 5-20. http://www.apdr.pt/siteRPER/numeros/RPER47/47.1.pdf
  • Mella, J., & Chasco, C. (2006). Urban growth and territorial dynamics: A spatial-econometric analysis of Spain. In A. Reggiani, & P. Nijkamp (Eds.), Spatial dynamics, networks and modeling (pp. 325-366). New York: Edward Elgar. https://doi.org/10.4337/9781781007471.00024
  • Millo, G., & Piras, G. (2012). Splm: Spatial panel data models in R. Journal of Statistical Software, 47(1), 1-38. https://doi.org/10.18637/jss.v047.i01
  • Naveed, A., & Ahmad, N. (2016). Technology spillovers and international borders: A spatial econometric analysis. Journal of Borderlands Studies, 31(4), 441-461. https://doi.org/10.1080/08865655.2016.1188669
  • Quah, D. T. (1996). Regional convergence clusters across Europe. European Economic Review, 40(3-5), 951-958. https://doi.org/10.1016/0014-2921(95)00105-0
  • Ramos, R., Suriñach, J., & Artís, M. (2010). Human capital spillovers, productivity and regional convergence in Spain. Papers in Regional Science, 89(2), 435-447. https://doi.org/10.1111/j.1435-5957.2010.00296.x
  • Rey, S. J., & Montouri, B. D. (1999). US regional income convergence: A spatial econometric perspective. Regional Studies, 33(2), 143-156. https://doi.org/10.1080/00343409950122945
  • Tortosa‐Ausina, E., Pérez, F., Mas, M., & Goerlich, F. J. (2005). Growth and convergence profiles in the Spanish provinces (1965–1997). Journal of Regional Science, 45(1), 147-182. https://doi.org/10.1111/j.0022-4146.2005.00367.x
  • Viegas, M., & Antunes, M. (2013). Convergence in the Spanish and Portuguese NUTS 3 regions: An exploratory spatial approach. Intereconomics, 48(1), 59-66. https://doi.org/10.1007/s10272-013-0445-z
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