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Space-Time Analysis of GDP Disparities among European Regions: A Markov Chains Approach

Space-Time Analysis of GDP Disparities among European Regions: A Markov Chains Approach The purpose of this article is to study the evolution of GDP disparities among 138 European regions over the period from 1980 to 1995. Regional per capitaGDPcross-sectional distribution is characterized by means of nonparametric estimations of density functions, and the growth process is modeled as a first-order stationary Markov chain. Spatial effects are then introduced within the Markov chain framework using regional conditioning and spatial Markov chains. The results of the analysis indicate the persistence of regional disparities, a progressive bias toward a poverty trap, and the importance of geography in the convergence process. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png International Regional Science Review SAGE

Space-Time Analysis of GDP Disparities among European Regions: A Markov Chains Approach

International Regional Science Review , Volume 27 (2): 26 – Apr 1, 2004

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References (49)

Publisher
SAGE
Copyright
Copyright © by SAGE Publications
ISSN
0160-0176
eISSN
1552-6925
DOI
10.1177/0160017603262402
Publisher site
See Article on Publisher Site

Abstract

The purpose of this article is to study the evolution of GDP disparities among 138 European regions over the period from 1980 to 1995. Regional per capitaGDPcross-sectional distribution is characterized by means of nonparametric estimations of density functions, and the growth process is modeled as a first-order stationary Markov chain. Spatial effects are then introduced within the Markov chain framework using regional conditioning and spatial Markov chains. The results of the analysis indicate the persistence of regional disparities, a progressive bias toward a poverty trap, and the importance of geography in the convergence process.

Journal

International Regional Science ReviewSAGE

Published: Apr 1, 2004

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