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Geographic Spillover and Growth. A Spatial Econometric Analysis for European Regions

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  • BAUMONT, Catherine

    () (LATEC - CNRS - Université de Bourgogne)

  • ERTUR, Cem

    () (LATEC - CNRS - Université de Bourgogne)

  • LE GALLO, Julie

    () (LATEC - CNRS - Université de Bourgogne)

Abstract

The aim of this paper is to integrate the geographical dimension of data in the estimation of the convergence of European regions and emphasize the importance of spatial effects in regional economic growth phenomena. In a sample of 122 European regions over the 1980-1995 period, we find strong evidence of spatial autocorrelation in the unconditional b-convergence model using spatial econometric methods with different weight matrices: a simple contiguity matrix and 4 distance-based matrices. Therefore, this standard b-convergence model exhibit misspecification, its estimation by OLS leads to inefficient estimators and invalid statistical inference. We suggest then a "minimal"specification of b-convergence, which integrates and treats adequately the spatial autocorrelation detected.. Moreover, this model is interpreted as a conditional b-convergence model revealing a spatial spillover effect between European regions. Therefore the European regions are interdependent and we show by a simulation experiment that a random shock affecting a given region propagates to all the regions of the sample. / L'objectif de ce papier est d'intégrer la dimension géographique des données dans l'estimation du processus de convergence des régions européennes et de souligner le rôle des effets spatiaux dans l'analyse de la croissance régionale. Dans un échantillon de 122 régions européennes sur la période 1980-1995, nous mettons en évidence la présence d'autocorrélation spatiale dans le modèle de b-convergence absolue en utilisant les méthodes de l'économétrie spatiale et différentes matrices de poids : une matrice de contiguité et 4 matrices de distances. Par conséquent ce modèle de b-convergence est mal spécifié, son estimation par les MCO conduit à des estimateurs inefficients et à une inférence statistique peu fiable. Nous proposons alors une spécification " minimale " du modèle de b-convergence permettant le traitement approprié de l'autocorrélation spatiale détectée dont nous soulignons l'impact sur la croissance régionale. En outre, ce modèle peut être interprété comme un modèle de b-convergence conditionnelle révélant un effet de débordement spatial entre les régions européennes. Les régions européennes sont donc interdépendantes et nous montrons à l'aide d'une expérience de simulation qu'un choc aléatoire affectant une région donnée se propage à l'ensemble des régions de l'échantillon. Key words:exploratory spatial data analysis; spatial autocorrelation; spatial econometrics; convergence; geographic spillovers; European regions; anlyse exploratoire des données spatiales; autocorrélation spatiale ; économétrie spatiale ; convergence ; effets de débordement ; régions européennes

Suggested Citation

  • BAUMONT, Catherine & ERTUR, Cem & LE GALLO, Julie, 2000. "Geographic Spillover and Growth. A Spatial Econometric Analysis for European Regions," LATEC - Document de travail - Economie (1991-2003) 2000-07, LATEC, Laboratoire d'Analyse et des Techniques EConomiques, CNRS UMR 5118, Université de Bourgogne.
  • Handle: RePEc:lat:lateco:2000-07
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    References listed on IDEAS

    as
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    Cited by:

    1. Maria Abreu & Henri L.F. de Groot & Raymond J.G.M. Florax, 2004. "Space and Growth," Tinbergen Institute Discussion Papers 04-129/3, Tinbergen Institute.
    2. Maria ABREU & Henri L.F. DE GROOT & Raymond J.G.M. FLORAX, 2005. "Space And Growth: A Survey Of Empirical Evidence And Methods," Region et Developpement, Region et Developpement, LEAD, Universite du Sud - Toulon Var, vol. 21, pages 13-44.
    3. repec:iab:iabzaf:v:39:i:3/4:p:575-601 is not listed on IDEAS
    4. repec:oup:indcch:v:26:y:2017:i:2:p:233-257. is not listed on IDEAS
    5. LE GALLO, Julie, 2000. "Econométrie spatiale 1 -Autocorrélation spatiale," LATEC - Document de travail - Economie (1991-2003) 2000-05, LATEC, Laboratoire d'Analyse et des Techniques EConomiques, CNRS UMR 5118, Université de Bourgogne.
    6. Lili Wang & Huub Meijers & Adam Szirmai, 2017. "Technological spillovers and industrial growth in Chinese regions," Industrial and Corporate Change, Oxford University Press, vol. 26(2), pages 233-257.
    7. Sélin Ozyurt, 2008. "A Fresh Scrutiny on Openness and Per Capita Income Spillovers in Chinese Cities: A Spatial Econometric Perspective," Working Papers 08-17, LAMETA, Universtiy of Montpellier, revised Nov 2008.
    8. Fertig, Michael & Kluve, Jochen & Schmidt, Christoph M., 2006. "Die makroökonomische Wirkung aktiver Arbeitsmarktpolitik : eine Panelanalyse auf Ebene regionaler Arbeitsmärkte (The macroeconomic impact of active labor market policy : a longitudinal analysis for re," Zeitschrift für ArbeitsmarktForschung - Journal for Labour Market Research, Institut für Arbeitsmarkt- und Berufsforschung (IAB), Nürnberg [Institute for Employment Research, Nuremberg, Germany], vol. 39(3/4), pages 575-601.
    9. Nicole Madariaga & Sylvie Montout & Patrice Ollivaud, 2005. "Regional convergence and agglomeration in Argentina : a spatial panel data approach," Université Paris1 Panthéon-Sorbonne (Post-Print and Working Papers) halshs-00193304, HAL.
    10. Julie Le Gallo, 2000. "Spatial econometrics (1, Spatial autocorrelation)
      [Econométrie spatiale (1, Autocorrélation spatiale)]
      ," Working Papers hal-01527290, HAL.

    More about this item

    JEL classification:

    • C51 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Model Construction and Estimation
    • R11 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General Regional Economics - - - Regional Economic Activity: Growth, Development, Environmental Issues, and Changes
    • R15 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General Regional Economics - - - Econometric and Input-Output Models; Other Methods

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