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Does Evidence on Regional Economic Convergence Depend on the Estimation Strategy? Outcomes from Analysis of a Set of NUTS2 EU Regions

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  • Giuseppe Arbia
  • Julie Le Gallo
  • Gianfranco Piras

Abstract

Abstract The regional economic convergence/divergence issue has been discussed extensively recently, but results obtained are not always interpretable unequivocally as a consequence of the different estimation strategies used. As it is widely recognized, the most common theoretical framework applied to measure the speed of economic convergence among countries or regions remains the β-convergence approach, linked to the neoclassical Solow model. There have been many attempts to consider variations of the basic cross-sectional specification ranging from panel data models to Bayesian spatial econometric techniques. The application of spatial econometric methodologies is an essential tool for proper statistical inference on regional data. In this context, the aim of this paper is to connect the different results obtained in the literature. More specifically, we address whether or not evidence on convergence depends upon the estimation strategy, by taking the same set of data and systematically comparing the results obtained from different estimation strategies. The results from a set of NUTS2 EU regions conclude that both the model implied by the cross-sectional analysis and the one referring to the space-time dynamics incorporated in the panel specification point to convergence. The concept of convergence implied is, however, quite different, as demonstrated throughout the paper.

Suggested Citation

  • Giuseppe Arbia & Julie Le Gallo & Gianfranco Piras, 2008. "Does Evidence on Regional Economic Convergence Depend on the Estimation Strategy? Outcomes from Analysis of a Set of NUTS2 EU Regions," Spatial Economic Analysis, Taylor & Francis Journals, vol. 3(2), pages 209-224.
  • Handle: RePEc:taf:specan:v:3:y:2008:i:2:p:209-224
    DOI: 10.1080/17421770801996664
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    1. repec:nbp:nbpbik:v:48:y:2017:i:6:p:531-556 is not listed on IDEAS
    2. Breidenbach, Philipp & Mitze, Timo & Schmidt, Christoph M, 2016. "EU Structural Funds and Regional Income Convergence - A Sobering Experience," CEPR Discussion Papers 11210, C.E.P.R. Discussion Papers.
    3. Túlio Cravo & Guilherme Resende, 2013. "Economic growth in Brazil: a spatial filtering approach," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 50(2), pages 555-575, April.
    4. S. Bouayad Agha & Nadine Turpin & Lionel Védrine, 2010. "Fostering the potential endogenous development of European regions: a spatial dynamic panel data analysis of the Cohesion Policy on regional convergence over the period 1980-2005," Working Papers halshs-00812077, HAL.
    5. Kubis, Alexander & Schneider, Lutz, 2012. "Human Capital Mobility and Convergence – A Spatial Dynamic Panel Model of the German Regions," IWH Discussion Papers 9/2012, Halle Institute for Economic Research (IWH).
    6. Tobias Hagen & Philipp Mohl, 2011. "Econometric Evaluation of EU Cohesion Policy: A Survey," Chapters,in: International Handbook on the Economics of Integration, Volume III, chapter 16 Edward Elgar Publishing.
    7. Rokicki, Bartlomiej & Hewings, Geoffrey J.D., 2016. "Regional convergence within particular country — An approach based on the regional price deflators," Economic Modelling, Elsevier, vol. 57(C), pages 171-179.
    8. Mohl, P. & Hagen, T., 2010. "Do EU structural funds promote regional growth? New evidence from various panel data approaches," Regional Science and Urban Economics, Elsevier, vol. 40(5), pages 353-365, September.
    9. Túlio Cravo, 2011. "Regional Economic Growth and SMEs in Brazil: a Spatial Analysis (Submission for the Refereed Y-session Papers)," ERSA conference papers ersa10p508, European Regional Science Association.
    10. Konrad Lyncker & Rasmus Thoennessen, 2017. "Regional club convergence in the EU: evidence from a panel data analysis," Empirical Economics, Springer, vol. 52(2), pages 525-553, March.
    11. Vassilis Monastiriotis, 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, Taylor & Francis Journals, vol. 9(2), pages 142-161, June.
    12. Álvarez, Inmaculada & Barbero, Javier, 2013. "Knowledge Spillovers in Neoclassical Growth Model: an extension with Public Sector," Working Papers in Economic Theory 2013/07, Universidad Autónoma de Madrid (Spain), Department of Economic Analysis (Economic Theory and Economic History).
    13. Lindsay N. Amiel & Steven Deller & Judith I. Stallman, 2012. "Economic Growth and Tax and Expenditure Limitations," The Review of Regional Studies, Southern Regional Science Association, vol. 42(3), pages 185-206, Winter.
    14. Philipp Breidenbach & Timo Mitze & Christoph Schmidt, 2011. "Evaluating EU Regional Policy: Many Empirical Specifications, One (Unpleasant) Result," ERSA conference papers ersa11p1144, European Regional Science Association.
    15. Cécile BATISSE & Mary-Françoise RENARD & Nasser ARY TANIMOUNE, 2013. "Foreign Direct Investment across China: what should we learn from spatial dependences?," Working Papers 201312, CERDI.
    16. Chiara Del Bo & Massimo Florio & Giancarlo Manzi, 2010. "Regional Infrastructure and Convergence: Growth Implications in a Spatial Framework," Transition Studies Review, Springer;Central Eastern European University Network (CEEUN), vol. 17(3), pages 475-493, September.
    17. Davor Mikulic & Andrea Galic Nagyszombaty, 2015. "Does international trade cause regional growth differentials in Croatia," Zbornik radova Ekonomskog fakulteta u Rijeci/Proceedings of Rijeka Faculty of Economics, University of Rijeka, Faculty of Economics, vol. 33(1), pages 81-102.

    More about this item

    Keywords

    Regional economic growth; spatial models; EU regions; C21; C31; R10; R11;

    JEL classification:

    • C21 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Cross-Sectional Models; Spatial Models; Treatment Effect Models
    • C31 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Cross-Sectional Models; Spatial Models; Treatment Effect Models; Quantile Regressions; Social Interaction Models
    • R10 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General Regional Economics - - - General
    • R11 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General Regional Economics - - - Regional Economic Activity: Growth, Development, Environmental Issues, and Changes

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