Preprint Article Version 1 This version is not peer-reviewed

Identifying Economic Growth Convergence Clubs and Their Influencing Factors in China

Version 1 : Received: 7 July 2018 / Approved: 9 July 2018 / Online: 9 July 2018 (13:51:13 CEST)

A peer-reviewed article of this Preprint also exists.

Li, F.; Li, G.; Qin, W.; Qin, J.; Ma, H. Identifying Economic Growth Convergence Clubs and Their Influencing Factors in China. Sustainability 2018, 10, 2588. Li, F.; Li, G.; Qin, W.; Qin, J.; Ma, H. Identifying Economic Growth Convergence Clubs and Their Influencing Factors in China. Sustainability 2018, 10, 2588.

Journal reference: Sustainability 2018, 10, 2588
DOI: 10.3390/su10082588

Abstract

Balanced and coordinated economic development across regions is a critical goal of regional economic development and new-type urbanization in China. However, few studies have examined economic growth convergence clubs at the county level. To extend the research on convergence clubs, this research applies a log t convergence test and a dynamic spatial ordered Probit model (DSOP) to endogenously identify economic growth convergence clubs in counties and to examine the influence of initial states and structures on club convergence probability. The study sample covers 2286 counties of China from 1992 to 2010. The results show significant convergence club patterns at the county levels, resulting in the gradual formation of six convergence clubs. The DSOP estimation results show that per capita fixed assets, population density and industrialization have promoted convergence club formation to varying degrees.

Subject Areas

economic development; convergence club identification; log t convergence; dynamic spatial ordered Probit model (DSOP); influencing factors

Readers' Comments and Ratings (0)

Leave a public comment
Send a private comment to the author(s)
Rate this article
Views 0
Downloads 0
Comments 0
Metrics 0
Leave a public comment

×
Alerts
Notify me about updates to this article or when a peer-reviewed version is published.