0000000000958464
AUTHOR
Cem Ertur
A Spatial Econometric Analysis of Convergence Across European Regions, 1980–1995
The convergence of European regions has been largely discussed in the macroeconomic and the regional science literature during the past decade. Two observations are often emphasized. First, the convergence rate among European regions appears to be very slow in the extensive samples considered (Barro and Sala-iMartin 1991, 1995; Armstrong 1995a; Sala-i-Martin 1996a, 1996b). Second, as shown in Ertur and Le Gallo (see Chap. 2), the geographical distribution of European per capita GDP is highly clustered.
Analyse spatiale des disparités régionales dans l'Europe élargie
The aim of this paper is to study the regional inequalities in the enlarged European Union using Exploratory Spatial Data Analysis applied to per capita GDP for 258 regions of EU27 over the period 1995-2000. Strong evidence in favor of global and local autocorrelation as well as spatial heterogeneity is found for the wealth distribution. We also show that the enlargement process leads to a new North-West - East polarization scheme instead of the previous results obtained in the literature highlighting a North-South polarization scheme. Implications for regional development and cohesion policies are finally explored.
The European regional convergence process, 1980-1995 : Do spatial dependence and spatial heterogeneity matter ?
International audience
'Dual' Gravity: Using Spatial Econometrics to Control for Multilateral Resistance
We propose a quantity-based `dual' version of the gravity equation that yields an estimating equation with both cross-sectional interdependence and spatially lagged error terms. Such an equation can be concisely estimated using spatial econometric techniques. We illustrate this methodology by applying it to the Canada-U.S. data set used previously, among others, by Anderson and van Wincoop (2003) and Feenstra (2002, 2004). Our key result is to show that controlling directly for spatial interdependence across trade flows, as suggested by theory, significantly reduces border effects because it captures `multilateral resistance'. Using a spatial autoregressive moving average specification, we …
The European Regional Convergence Process, 1980-1995: Do Spatial Regimes and Spatial Dependence Matter?
International audience; The authors show that spatial dependence and spatial heterogeneity matter in the estimation of the ß-convergence process among 138 European regions over the 1980 to 1995 period. Using spatial econometrics tools, the authors detect both spatial dependence and spatial heterogeneity in the form of structural instability across spatial convergence clubs. The estimation of the appropriate spatial regimes spatial error model shows that the convergence process is different across regimes. The authors also estimate a strongly significant spatial spillover effect: the average growth rate of per capita GDP of a given region is positively affected by the average growth rate of …
International R&D spillovers in the multi-country Schumpeterian growth model
en ligne : http://ungaro.u-bourgogne.fr/pages/Documents%20de%20travail/Economie/e2007-04.pdf; Document de travail du LEG 2007-04; This paper reconsiders the multi-country Schumpeterian growth model and its empirical implications. We first show that the model implies a spatial econometric reduced form. Indeed, the global interdependence implied by international R&D spillovers needs to betaken into account in the theoretical model as well as in the empirical model. The spatial econometric model we propose includes the neoclassical growth model as a particular case. We can therefore test explicitly the role of R&D investment in the long run growth processagainst the Solow growth model which is…
Spatial Convergence Clubs and the European Growth Process, 1980-1995
Bernard Fingleton
On the property of diffusion in the spatial error model.
International audience; The aim of this paper is to illustrate the property of global spillover effects in the first-order spatial autoregressive error model and the associated diffusion process of spatial shocks. An application is provided on a sample of 145 regions over 1989–1999 and highlights the most influential regions.
Convergence of European regions (an approach by spatial econometrics)
The aim of this paper is the analysis of spatial dependence in convergence processes applied to European regions. First, we apply the recently developed exploratory spatial data analysis (Anselin, 1996) in order to describe more precisely the geographical dynamics of European regional income growth patterns. New insights are brought to the usual cr-convergence measure, which hides geographical patterns that may fluctuate over time. Second, we test the presence of spatial autocorrelation in /^-convergence models by using spatial econometrics methods (Anselin, 1988 ; Anselin and Florax, 1995). We compare the results with and without spatial autocorrelation in order to assess the effect of geo…
An Exploratory Spatial Data Analysis of European Regional Disparities, 1980–1995
European integration has stimulated numerous studies of regional economic convergence within the European Union in recent macroeconomic and regional science literature (e.g. Abraham and Von Rompuy 1995; Armstrong 1995a; Neven and Gouyette 1995; Martin 2001). Most of the time, the empirical methods that have been used are identical to the methods employed in international studies. However, spatial effects, particularly spatial autocorrelation and spatial heterogeneity, must be taken into account when analyzing the convergence process at regional scale. There are number of factors — trade between regions, technology, knowledge diffusion and more generally regional spillovers — that lead to ge…
Estimation des effets de proximité dans le processus de convergence régionale : une approche par l'économétrie spatiale sur 92 régions européennes (1980-1995)
L'objectif de cet article est d'examiner les conséquences de la dépendance spatiale sur la croissance régionale et le processus de convergence. Sur un échantillon de 92 régions européennes sur la période 1980-1995, nous montrons que le modèle de b-convergence absolue doit être re-spécifié en raison de la présence d'auto-corrélation spatiale. Les méthodes de l'économétrie spatiale nous orientent vers une spécification avec erreurs spatialement auto-corrélées qui nous permet de mettre en évidence un effet de débordement géographique. Nous montrons ainsi que le taux de croissance d'une région est influencé positivement par les taux de croissance des régions contiguës.
The cost of equity and exchange listing evidence from the French stock market
We reconsider the behaviour of prices around the period close to the listing on the Marché à Règlement Mensuel (RM). First, an event study based on a sample of 60 firms has been set up to test the existence of the exchange listing effect on the French market. Then we discuss and test the financial reasons which can justify abnormal returns around the announcement day and the day of the listing. We explore four reasons to explain the impact of the stock exchange listings: one is the informative content of the operation which induces an upward revision of the future earnings. Three other hypotheses rely on a decrease in the discount rate originated by less risky cash flows, an increase in tra…
Clubs de convergence et effets de débordements géographiques : une analyse spatiale sur données régionales européennes, 1980-1995
Our article offers an econometric model of spatial interactions for the empirical analysis of growth in European regions over the period 1980-1995. The model detects spatial spillover effects and makes it possible to take account of the European economy’s strong polarization. More specifically, by factoring in both spatial autocorrelation and spatial heterogeneity, we characterize the economic polarization pattern in European regions, identify convergence clubs, and model them as spatial regimes. We estimate a two-regime model with spatially autocorrelated errors and show that the convergence process differs between the two regimes. We find a strongly significant spatial spillover effect : …
Convergence, Human Capital and International Spillovers
Dijon; Document de travail du Laboratoire d'Economie et de Gestion (UMR 5118 CNRS-Université de Bourgogne) 2006-03
''Dual'' gravity: Using spatial econometrics to control for multilateral resistance.
We propose a quantity-based `dual' version of the gravity equation that yields an estimating equation with both cross-sectional interdependence and spatially lagged error terms. Such an equation can be concisely estimated using spatial econometric techniques. We illustrate this methodology by applying it to the Canada-U.S. data set used previously, among others, by Anderson and van Wincoop (2003) and Feenstra (2002, 2004). Our key result is to show that controlling directly for spatial interdependence across trade flows, as suggested by theory, significantly reduces border effects because it captures `multilateral resistance'. Using a spatial autoregressive moving average specification, we …
A Contribution to the Schumpeterian Growth Theory and Empirics
Soumis à Journal of Economic Growth; Document de Recherche LEO 2008-25; Cet article propose un cadre théorique et méthodologique unifie caractérisé par la priseen compte explicite des intéractions technologiques dans la modélisation des processus decroissance en adoptant une perspective Schumpétérienne. L'interdépendance globale impliquée par les spillovers internationaux de R&D doit être intégrée non seulement dans lamodélisation théorique mais également dans la spécification économétrique qui en découle.L'économétrie spatiale apparaît alors naturellement comme la méthodologie adéquate pourtraiter le problème de l'estimation de telles spécifications. Le modèle économétrique que nousproposo…
Exploratory spatial data analysis of the distribution of regional per capita GDP in Europe, 1980-1995
The aim of this paper is to study the dynamics of European regional per capita product over time and space. This purpose is achieved by using the recently developed methods of Exploratory Spatial Data Analysis. Using a sample of European regions over the 1980-1995 period, we find strong evidence of global and local spatial autocorrelation in per capita GDP throughout the period. The detection of clusters of high and low per capita products during the period is an indication of the persistence of spatial disparities between European regions. This analysis is finally refined by the investigation of the spatial pattern of regional growth. Key words:exploratory spatial data analysis; distributi…
Méthodes récursives
PUF, Paris
Advances in Spatial Econometrics: Methodology, Tools and Applications
Luc Anselin, Raymond Florax, Sergio Rey, Springer, 2004; Recension publié dans : Journal of Regional Science, 45, 4, p. 866-870
Une analyse exploratoire des disparités régionales dans l'Europe élargie
http://www.regionetdeveloppement.u-3mrs.fr/; National audience; L'objectif de cet article est d'analyser les inégalités régionales dans l'Union Européenne élargie à l'aide de l'Analyse Exploratoire des Données Spatiales appliquée aux PIB par tête des 258 régions de l'Europe des 27 sur la période 1995-2000. Les résultats montrent l'existence d'une forte autocorrélation spatiale globale et locale ainsi qu'une forte hétérogénéité dans la distribution des richesses. Ils montrent également un changement de polarisation, puisque l'élargissement conduit à un schéma de polarisation Nord-Ouest - Est à la place du schéma Nord-Sud traditionnellement mis en évidence dans la littérature. Finalement, cet…
Spatial Convergence Clubs and the European Regional Growth Process,1980–1995
In international cross-country studies, evidence for club convergence has often been found using different methodologies (Baumol 1986; Durlauf and Johnson 1995; Quah 1996a, 1997). In the case of the European regions, Ertur and Le Gallo (see Chap. 2) and Le Gallo et al. (see Chap. 3) have shown that the convergence rate among European regions is slow and that GDP disparities seem to be persistent despite the European economic integration process and higher growth rates of some poorer regions, as highlighted as well in the European Commission reports (1996, 1999). Moreover, over the 1980–1995 period, Ertur and Le Gallo (see Chap. 2) found that the geographical distribution of European regions…