经济增长与环境污染退耦水平空间统计分析——以丝绸之路经济带9省份为例

发布时间：2018-05-20 21:17

本文选题：空间统计分析 + 退耦水平　；参考：《生态经济》2017年12期

【摘要】：利用T1~T13期丝绸之路经济带9省份工业"三废"、碳排放和GDP等数据计算各省份经济增长与环境污染退耦水平,采用空间统计的Moran指数分析方法对退耦水平空间集聚的结构特征与变化趋势进行分析。结果表明:从全局空间看,各时段9省份的退耦水平正负交替,多数未通过显著性检验,存在较弱的空间自相关性,空间随机型明显。从局部空间看,各时段9省份的退耦水平在空间分布上呈现出显著的空间离散型,表现为非均衡的空间分布状态。
[Abstract]:Using the data of "three wastes", carbon emissions and GDP in nine provinces of the Silk Road Economic Belt during the T1~T13 period, the decoupling level between economic growth and environmental pollution in each province is calculated. The structural characteristics and variation trend of decoupled horizontal spatial agglomeration were analyzed by using Moran exponent analysis method of spatial statistics. The results show that the decoupling levels of 9 provinces are alternately positive and negative in the global space, most of them do not pass the significance test, and there is a weak spatial autocorrelation, and the spatial random type is obvious. From the local spatial point of view, the decoupling level of 9 provinces in each time period presents a significant spatial discrete type in spatial distribution, showing a disequilibrium spatial distribution state.
【作者单位】：桂林电子科技大学商学院;江西财经大学会计学院;
【基金】：国家社会科学基金项目“快速城市化背景下我国经济增长低碳化路径研究”(13BJL096) 桂林电子科技大学研究生教育创新计划资助项目“丝绸之路经济带视阈下经济增长与环境污染动态关系分析”(2016YJCX53)
【分类号】：F127;X22

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