SPATIAL ECONOMETRICS ANALYSIS ON THE CONVERGENCE OF LOW-CARBON ECONOMIC GROWTH EFFICIENCY IN THE YANGTZE RIVER ECONOMIC BELT

被引：0
|
作者：
Ju, Hualei [1 ]
Zhang, Xiaheng [2 ]
机构：
[1] Northwest Univ Polit Sci & Law, Sch Econ, Xian 710122, Peoples R China
[2] Northwest Univ Polit Sci & Law, Business Sch, Xian 710122, Peoples R China
来源：
ENVIRONMENTAL ENGINEERING AND MANAGEMENT JOURNAL | 2020年 / 19卷 / 07期
关键词：
convergence analysis; low-carbon economic growth efficiency (LCEGE); spatial econometrics; Yangtze River Economic Belt; EMISSION;
D O I：
暂无
中图分类号：
X [环境科学、安全科学];
学科分类号：
08 ; 0830 ;
摘要：
Based on the panel data of the Yangtze River Economic Belt in 1998-2016, this paper carries out a spatial econometrics analysis on the convergence of low-carbon economic growth efficiency (LCEGE) in the Belt. The main results are as follows: there are huge provincial differences in the LCEGE across the Belt; the spatial autocorrelation (Global Moran's I) test shows a significant spatial correlation of the LCEGE, with an obvious regional spatial clustering effect; considering the spatial effects, the provincial gap in the LCEGE is reduced gradually at an absolute convergence rate of 5.85%; the LCEGE has a significant positive correlation with the R&D investment and opening-up, a significant negative correlation with industrial structure and energy structure, and an insignificant correlation with environmental regulation.
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页码：1115 / 1123
页数：9
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