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Balancing Population Distribution and Sustainable Economic Development in Yangtze River Economic Belt of China

Huali Xiang (), Jun Yang (), Xi Liu () and Jay Lee ()
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Huali Xiang: School of Public Administration, Zhongnan University of Economics and Law, Wuhan 430073, China
Jun Yang: Center for Environment and Migration Studies, Zhongnan University of Economics and Law, Wuhan 430073, China
Xi Liu: School of Public Administration, Zhongnan University of Economics and Law, Wuhan 430073, China
Jay Lee: College of Environment and Planning, Henan University, Kaifeng 475001, China

Sustainability, 2019, vol. 11, issue 12, 1-1

Abstract: From a macro perspective, the inconsistency between population distribution and economic development reflects the lag of population mobility and, at the same time, widens regions’ economic disparity. China, as a socialist country, is very concerned with the regional disparities. Aiming at analyzing ways to reduce regional disparities and promote balanced and sustainable regional developments, this paper applies spatial analytical methods in econometrics, using the Yangtze River Economic Belt in China as an example, to analyze the spatial inconsistency between the distribution of population and economic development. The study also examines the influencing factors for such inconsistency and proposes countermeasures from the perspective of floating population and regional economics. The research results show that the improvement of human capital and the tilt of regional policies are conducive to population agglomeration. Furthermore, increasing the input of physical capital can promote economic agglomeration. From the spatial econometric analysis in this paper, the direct and indirect effects have opposite directions, so it is necessary to consider the indirect effects when implementing policies or programs.

Keywords: Yangtze River economic belt; inconsistency index; spatial autocorrelation; spillover effect; balanced development of regions; interregional inconsistency (search for similar items in EconPapers)
JEL-codes: Q Q0 Q2 Q3 Q5 Q56 O13 (search for similar items in EconPapers)
Date: 2019
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