6533b82bfe1ef96bd128d72e

RESEARCH PRODUCT

Space-time analysis of GDP disparities among European regions : a Markov chains approach

Julie Le Gallo

subject

Economics[SHS.GEO] Humanities and Social Sciences/Geography0211 other engineering and technologies0507 social and economic geographyDistribution (economics)02 engineering and technologyPoverty trap[ SHS.GEO ] Humanities and Social Sciences/GeographyStatisticsEconometricsSpatial Markov chainSpatial analysisGeneral Environmental ScienceMarkov chainbusiness.industryRegional disparityéconomieSpace timeeconomic theory05 social sciences1. No povertyNonparametric statisticsGeneral Social Sciences021107 urban & regional planningConvergence (economics)[SHS.GEO]Humanities and Social Sciences/GeographyGestionSpatial conditioningbusinessManagement economicsConvergence050703 geographymanagementSpatial autocorrelation

description

The purpose of this paper is to study the evolution of the disparities between 138 European regions over the 1980-1995 period. We characterize the regional per capita GDP cross-sectional distribution by means of nonparametric estimations of density functions and we model the growth process as a first-order stationary Markov chain. Spatial effects are then introduced within the Markov chain framework using regional conditioning (Quah, 1996b) and spatial Markov chains (Rey, 2001). The results of the analysis indicate the persistence of regional disparities, a progressive bias toward a poverty trap and the importance of geography to explain the convergence process.

yearjournalcountryeditionlanguage
2004-04-01
https://hal.science/hal-01526532