Economic Reform, Growth and Convergence in China
Esfandiar Maasoumi and
Le Wang
Econometrics Journal, 2008, vol. 11, issue 1, 128-154
Abstract:
In this paper, we propose a new concept of convergence which is based on the metric entropy measure recently proposed by Granger et al. (2004, Journal of Time Series Analysis 25, 649--69) to investigate economic convergence in China. This entropy measure compares whole distributions of growth rates across individual provinces. Separately, based on this same entropy measure, we also implement cluster analysis to identify any convergence clubs. Our four main conclusions are: (1) while we certainly reject the null hypothesis that there exists a nationwide convergence, we do find that there exist convergence clubs for both the pre- and post-reform periods, (2) we find a number of very small convergence clubs. In particular, there are eleven and six convergence clubs for the pre- and post-reform periods, respectively, (3) in comparing the number and size of convergence clubs for both the pre- and post-reform periods, it could be argued that the extent of convergence is more prevalent during the post-reform period than during the pre-reform period and (4) convergence groups cannot be simply characterized by such unique features as region or the extent of policy preference level that are commonly used in the literature. Copyright Royal Economic Society 2008
Date: 2008
References: Add references at CitEc
Citations: View citations in EconPapers (24)
There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.
Related works:
Working Paper: Economic Reform, Growth and Convergence in China (2006) 
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:ect:emjrnl:v:11:y:2008:i:1:p:128-154
Ordering information: This journal article can be ordered from
http://www.ectj.org
Access Statistics for this article
Econometrics Journal is currently edited by Richard J. Smith, Oliver Linton, Pierre Perron, Jaap Abbring and Marius Ooms
More articles in Econometrics Journal from Royal Economic Society Contact information at EDIRC.
Bibliographic data for series maintained by Wiley-Blackwell Digital Licensing () and Christopher F. Baum ().