Li, F.; Li, G.; Qin, W.; Qin, J.; Ma, H. Identifying Economic Growth Convergence Clubs and Their Influencing Factors in China. Sustainability2018, 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.
Li, F.; Li, G.; Qin, W.; Qin, J.; Ma, H. Identifying Economic Growth Convergence Clubs and Their Influencing Factors in China. Sustainability2018, 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.
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.
Keywords
economic development; convergence club identification; log t convergence; dynamic spatial ordered Probit model (DSOP); influencing factors
Subject
Business, Economics and Management, Economics
Copyright:
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
