Effet de diffusion spatiale de la croissance économique dans l'UEMOA
Mots-clés :
interactions spatiales, contiguïté géographique, distance géographique, croissance économiqueRésumé
L'objectif de notre article est d'analyser la diffusion spatiale de la croissance économique dans l'UEMOA. Nous avons utilisé pour nos analyses les données récentes de panel pour les huit pays de l'union sur la période 1960 - 2015. Les résultats d'analyse révèlent que la croissance économique se diffuse bien spatialement et positivement dans l'union. La promotion de la coopération économique et de la politique de libre circulation de biens et services et des individus dans l'union demeure ainsi très favorable à la croissance de ces pays.
Références
Anselin, L. (1988). ‘‘Spatial Econometrics : Methods and Models’’, Kluwer Academic Publisher, Dordrecht.
View in Google Scholar
Anselin, L. & Bera, A. K. (1998). ‘‘Spatial dependence in linear regression models with an introduction to spatial econometrics” in A. Ullah, & D. Giles, Eds., Handbook of applied Economic Statistics. Marcel Dekker, New York.
View in Google Scholar
Bailey, T. & Gatrell, A. C. 1995. ‘‘Interactive Spatial Data Analysis’’, Harlow, Longman.
View in Google Scholar
Baltagi, B. H., Egger, P., Pfaffermayr, M. (2009). ‘‘A Generalized Spatial Panel Data Model with Random Effects’’. Working Paper 113, Center for Policy Research, Syracuse University. URL http://EconPapers.RePEc.org/RePEc:max:cprwps:113.
View in Google Scholar
Baltagi, B. H., Song, S. H., Jung, B. C., Koh, W. (2007b). ‘‘Testing for Serial Correlation, Spatial Autocorrelation and Random Effects Using Panel Data’’. Journal of Econometrics, 140(1), 5-51.
View in Google Scholar
Baltagi, B. H., Song, S. H., Koh, W. (2003). ‘‘Testing Panel Data Regression Models with Spatial Error Correlation’’. Journal of Econometrics, 117, 123-150.
View in Google Scholar
Baumont, C., Ertur, C. & Le Gallo, J. (2002). ‘‘Estimation des effiets de proximité dans le processus de convergence régionale : une approche par l’économétrie spatiale sur 92 régions européennes (1980-1995)”, Revue d’Economie Régionale et Urbaine, Vol. 2, 203-216.
View in Google Scholar
Bivand, R. S. (2010). ‘‘Computing the Jacobian in Spatial Models : An Applied Survey’’, Technical Report 20/2010, Norwegian School of Economics and Business Administration, URL http://EconPapers.RePEc.org/RePEc:hhs:nhheco:2010_020.
View in Google Scholar
Breusch, T. S., Pagan, A. R. (1980). ‘‘The Lagrange Multiplier Test and Its Applications to Model Specification in Econometrics’’. Review of Economic Studies, 47, 239-253.
View in Google Scholar
Charles, B. (2016). ‘‘Modèles de croissance et développement économique’’, Tiersmonde.
View in Google Scholar
Cliff, A.D., Ord, J.K. (1973). “Spatial Autocorrelation”, Pion, Londres.
View in Google Scholar
Conley, T.G., Ligon, E. (2002). “Economic distance and cross-country spillovers”, Journal of Economic Growth, Springer, vol. 7(2), pages 157-87.
View in Google Scholar
Dall’erba, S. et Le Gallo, J. (2005). ‘‘Dynamique du processus de convergence régionale en Europe”, Région et Développement, Vol. 2005-21, 119-139.
View in Google Scholar
Elhorst, J. P., 2009, ‘‘Spatial Panel Data Models’’, in : M. Fischer, A. Getis (Eds.), Handbook of Applied Spatial Analysis. Springer-Verlag.
View in Google Scholar
Elhorst J. P. (2010). ‘‘Dynamic Panels with Endogenous Interactions Effects when T is Small’’, Regional Science and Urban Economics, 40, 272-282.
View in Google Scholar
Elhorst, J. P., Freret, S. (2009). ‘‘Yardstick Competition among Local Governments: French Evidence Using a Two-Regimes Spatial Panel Data Model’’, Journal of Regional Science, 49, 931-951.
View in Google Scholar
Ertur, C., Le Gallo, J. Baumont C. (2005). ‘‘The European Regional Convergence Process, 1980-1995: Do Spatial Regimes and Spatial Dependence Matter?’’, forthcoming in International Regional Science Review.
View in Google Scholar
Ertur, C. & Thiaw, K. (2005). ‘‘Croissance, capital humain et interactions spatiales : une étude économétrique’’, Document de travail du LEG, Université de Bourgogne, No. 2005-04.
View in Google Scholar
Kapoor, M., Kelejian, H. H., Prucha, I. R. (2007). ‘‘Panel Data Model with Spatially Correlated Error Components’’, Journal of Econometrics, 140(1), 97-130. TSP and Stata software available at http://econweb.umd.edu/~prucha/Research_Prog3.htm.
View in Google Scholar
Lee, L. F., Yu, J. (2010a). ‘‘A Spatial Dynamic Panel Data Model with both Time and Individual Fixed Effects’’, Econometric Theory, 26, 564-597.
View in Google Scholar
Niang A.-A. (2010). ‘‘Growth and convergence in Africa: The impact of spatial effects’’, Munick Personal RePEc Archive.
View in Google Scholar
Ord, J. K. (1975). “Estimation methods for models of spatial interaction”, Journal of the American Statistical Association, 70, 120-126.
View in Google Scholar
Wooldridge, J. M. (2002). ‘‘Econometric Analysis of Cross-Section and Panel Data’’, MIT Press.
View in Google Scholar
Yu, J., de Jong, R., Lee, L. F. (2008). ‘‘Quasi Maximum Likelihood Estimators for Spatial Dynamic Panel Data with Fixed Effects when both N and T are Large’’, Journal of Econometrics, 146, 118-134.
View in Google Scholar
Yu, J., Lee, L. F. (2010). ‘‘Estimation of Unit Root Spatial Dynamic Panel Data Models’’, Econometric Theory, 26, 1332-1362.
View in Google Scholar
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