Growth dynamics and conditional convergence among Chinese provinces: a panel data investigation using system GMM estimator

Céline Bonnefond

Cahiers du GREThA (2007-2019) from Groupe de Recherche en Economie Théorique et Appliquée (GREThA)

Abstract: The paper aims at contributing to the debate on conditional convergence across Chinese provinces by using the most recent techniques of dynamics panel data models. The analysis covers twenty nine Chinese provinces from 1995 to 2009 and is based on the estimation of growth equations using system GMM estimator. Three main results can be drawn from the empirical investigations conducted as part of this study. First, investment in physical capital and education have played an important role in promoting economic growth and may be considered as mean of reducing regional disparities. Second, the hypothesis of conditional convergence is verified over the period 1995-2009. Third, the speed of convergence is found to be faster during the period 2004-2009, which indicates that Chinese provinces have converged more quickly over the most recent period. We suggest that this result may be a consequence of the implementation of regional development programs during the 2000s, and that it may also reflect the existence of growth spillover effects.

Keywords: China; regional disparities; growth; conditional convergence; dynamic panel data; system GMM (search for similar items in EconPapers)
JEL-codes: C33 O40 O53 P25 R11 (search for similar items in EconPapers)
Date: 2013
New Economics Papers: this item is included in nep-geo, nep-pbe and nep-tra
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)

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Related works:
Journal Article: GROWTH DYNAMICS AND CONDITIONAL CONVERGENCE AMONG CHINESE PROVINCES: A PANEL DATA INVESTIGATION USING SYSTEM GMM ESTIMATOR (2014)
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Persistent link: https://EconPapers.repec.org/RePEc:grt:wpegrt:2013-23

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