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Regional convergence clubs in China: identification and conditioning factors    

文献类型:期刊文献

英文题名:Regional convergence clubs in China: identification and conditioning factors

作者:Zhang, Weili[1];Xu, Wei[2];Wang, Xiaoye[3]

第一作者:张伟丽

通讯作者:Xu, W[1]

机构:[1]Henan Univ Econ & Law, Collaborat Innovat Ctr Urban Rural Coordinated De, Coll Resource & Environm, Zhengzhou 450046, Henan, Peoples R China;[2]Univ Lethbridge, Prentice Inst Global Populat & Econ, Dept Geog, Lethbridge, AB T1K 3M4, Canada;[3]Henan Univ Econ & Law, Coll Econ, Zhengzhou 450046, Henan, Peoples R China

第一机构:河南财经政法大学

通讯机构:[1]corresponding author), Univ Lethbridge, Prentice Inst Global Populat & Econ, Dept Geog, Lethbridge, AB T1K 3M4, Canada.

年份:2019

卷号:62

期号:2

起止页码:327-350

外文期刊名:ANNALS OF REGIONAL SCIENCE

收录:;Scopus(收录号:2-s2.0-85061309216);WOS:【SSCI(收录号:WOS:000464749000005)】;

基金:This study was funded by the National Natural Science Foundation of China (grant number 41771124), the Humanities and Social Sciences Research Fund of Ministry of Education in China (Grant Number 17YJC790198), the philosophy and social science program in Henan province of China (Grant Number 2017BJJ009), Young Top-notch Talent Program of Henan University of Economics and Law (Grant Number hncjzfdxqnbjrc201602), and Outstanding scholars of philosophy and Social Sciences in Colleges and Universities of Henan province (2015-YXXZ-17).

语种:英文

摘要:This paper investigates club convergence in income per capita of 329 prefecture-level city regions in China over a period of 1990 to 2014. A nonlinear time-varying factor model is adopted to examine convergence trends as the model allows for transitional heterogeneity and divergence from the actual growth path. The study further explores the driving forces of convergence clubs using an ordered response model. Four convergence clubs are identified, showing no geographic regularity in club member locations. The highest income club and the lowest income club tend to converge strongly, whereas two middle-income clubs converge weakly. The findings indicate that initial conditions, sectorial characteristics, preferential development policy, general government spending, network effect, spatial effect, and the role of globalization are the significant factors responsible for the formation of club convergence in China.

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