Identifying Economic Growth Convergence Clubs and Their Influencing Factors in China
| Autor: | Feng Li, Guangdong Li, Jing Qin, Weishan Qin, Haitao Ma |
|---|---|
| Jazyk: | angličtina |
| Rok vydání: | 2018 |
| Předmět: |
Geography
Planning and Development lcsh:TJ807-830 lcsh:Renewable energy sources Ordered probit Management Monitoring Policy and Law influencing factors log t convergence Urbanization 0502 economics and business Per capita Econometrics Economics 050207 economics lcsh:Environmental sciences 050205 econometrics dynamic spatial ordered probit model (DSOP) lcsh:GE1-350 Convergence clubs Renewable Energy Sustainability and the Environment lcsh:Environmental effects of industries and plants 05 social sciences Convergence (economics) economics economic development lcsh:TD194-195 Industrialisation Fixed asset Club convergence club identification |
| Zdroj: | Sustainability Volume 10 Issue 8 Sustainability, Vol 10, Iss 8, p 2588 (2018) |
| ISSN: | 2071-1050 |
| DOI: | 10.3390/su10082588 |
| Popis: | 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. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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