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Regional Growth and Convergence: Heterogenous reaction versus interaction in spatial econometric approaches

Author

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  • Cem Ertur

    (LEO - Laboratoire d'économie d'Orleans [2008-2011] - UO - Université d'Orléans - CNRS - Centre National de la Recherche Scientifique)

  • Julie Le Gallo

    (CRESE - Centre de REcherches sur les Stratégies Economiques (UR 3190) - UFC - Université de Franche-Comté - UBFC - Université Bourgogne Franche-Comté [COMUE])

Abstract

This paper presents various approaches dealing with heterogeneous reaction combined with interaction between neighboring units of observation developed in the spatial econometric literature, in the framework of cross-sectional models, and applied to the study of growth and convergence processes. We present the main econometric specifications capturing discrete or continuous spatial heterogeneity: the spatial regimes model and the locally linear, geographically weighted regression (GWR). We then examine how these specifications can be extended to further allow for spatial autocorrelation.

Suggested Citation

  • Cem Ertur & Julie Le Gallo, 2009. "Regional Growth and Convergence: Heterogenous reaction versus interaction in spatial econometric approaches," Post-Print hal-00463279, HAL.
  • Handle: RePEc:hal:journl:hal-00463279
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    Cited by:

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    2. Burhan Can Karahasan, 2020. "Winners and losers of rapid growth in Turkey: Analysis of the spatial variability of convergence," Papers in Regional Science, Wiley Blackwell, vol. 99(3), pages 603-644, June.
    3. Up Lim, 2016. "Regional income club convergence in US BEA economic areas: a spatial switching regression approach," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 56(1), pages 273-294, January.
    4. Basile, Roberto & Durbán, María & Mínguez, Román & María Montero, Jose & Mur, Jesús, 2014. "Modeling regional economic dynamics: Spatial dependence, spatial heterogeneity and nonlinearities," Journal of Economic Dynamics and Control, Elsevier, vol. 48(C), pages 229-245.
    5. R. Basile & S. Usai, 2012. "Analysis of regional endogenous growth," Working Paper CRENoS 201211, Centre for North South Economic Research, University of Cagliari and Sassari, Sardinia.
    6. Wei-Bin Zhang, 2017. "Spatial Agglomeration And Economic Development With The Inclusion Of Interregional Tourism," Economic Annals, Faculty of Economics and Business, University of Belgrade, vol. 62(213), pages 93-128, April - J.
    7. Sébastien BOURDIN, 2013. "Une Mesure Spatiale Locale De La Sigma-Convergence Pour Evaluer Les Disparites Regionales Dans L’Union Europeenne," Region et Developpement, Region et Developpement, LEAD, Universite du Sud - Toulon Var, vol. 37, pages 179-196.
    8. Bourdin, Sebastien & Elissalde, Bernard & Langlois, Patrice & Goya, Dominique, 2011. "Une approche prospective de la configuration des disparités économiques régionales au sein de l'Union européenne par la modélisation et la simulation [A forward-looking approach of the configuratio," MPRA Paper 41307, University Library of Munich, Germany, revised 2011.
    9. Roberto Basile, 2014. "Regional productivity growth in Europe: a Schumpeterian perspective," Gecomplexity Discussion Paper Series 1, Action IS1104 "The EU in the new complex geography of economic systems: models, tools and policy evaluation", revised Nov 2014.
    10. Up Lim, 2016. "Regional income club convergence in US BEA economic areas: a spatial switching regression approach," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 56(1), pages 273-294, January.
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    12. Bourdin, Sebastien, 2010. "Repenser le futur de la politique de cohésion européenne pour les pays d’europe centrale et orientale : la prise en compte de l’espace géographique comme piste de recherche [Rethinking the future o," MPRA Paper 40888, University Library of Munich, Germany, revised 2010.

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