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。
Based on the data of industrial wasters, carbon emission and GDP from T1 to T13 in nine provinces of sitk road economic belt to calculate the decoupling level between economic growth and environmental pollution, the agglomeration characters and evolution of the decoupling level were reconsidered by using Moran index analysis method. Results showed that： From the global spatial perspective, most of the decoupling level didn＇t pass the significance test with positive-negative index alternant multilayer. Meanwhile, there was a weak spatial autocorrelation, showing obvious spatial random distribution type. From the local spatial perspective, the decoupling level showed a significant spatial discrete distribution type, which was characterized by an unbalanced spatial distribution.
作者
顾剑华
车夏辉
蔡翔
李梦
黄金萍
GU Jianhua;CHE Xiahui;CAI Xiang;LI Meng;HUANG Jinping(Business College, Guilin University of Electronic Technology, Guilin Guangxi 541004, China;College of Accounting, Jiangxi University of Finance and Economics, Nanchang Jiangxi 330013, China)
出处
《生态经济》
北大核心
2017年第12期145-149,共5页
Ecological Economy
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)
关键词
空间统计分析
退耦水平
丝绸之路经济带
spatial statistics analysis
decoupling level
Silk Road Economic Belt
