基于多DEA-Gini的纺织业碳排放效率时空分异研究  

Research on the Spatial and Temporal Variation of Carbon Emission Efficiency in Textile Industry based on Multi-DEA-Gini

作　　者：马玉超 张永林 MA Yu-chao;ZHANG Yong-lin(School of Management,Wuhan Textile University,Wuhan Hubei 430200,China)

机构地区：[1]武汉纺织大学管理学院,湖北武汉430200

出　　处：《武汉纺织大学学报》2022年第6期15-23,共9页Journal of Wuhan Textile University

摘　　要：基于2010年到2019年我国30个省(市,自治区)纺织业的面板数据,采用多种DEA模型并结合Gini准则对其碳排放效率进行测度,并利用全局趋势分析法、探索性空间数据分析法和标准差椭圆技术揭示其时空分异特征。研究发现:观察期内,我国各省份纺织业碳排放效率差距明显,存在集聚趋势;纺织业碳排放效率在东西和南北方向均呈现倒“U”型趋势,且东西(南北)方向上的差距有所缩小(扩大);纺织业碳排放效率自2017年开始表现出显著的正向空间自相关性;纺织业碳排放效率区位分布由偏东北—偏西南转变为偏东南—偏西北,分布重心向南移动。最后,根据研究发现提出若干政策建议。Based on the panel data of textile industry in 30 provinces(municipalities,autonomous regions)in China from 2010 to 2019,the carbon emission efficiency of textile industry was measured by using multiple DEA models combined with Gini criterion,an d its spatial-temporal differentiation characteristics were revealed by using global trend analysis,exploratory spatial data analysis and standard deviation ellipse technology.The results show that during the observation period,the carbon emission efficiency ga p of textile industry in all provinces of China is obvious,and there is an agglomeration trend;The carbon emission efficiency of textile ind ustry showed an inverted"U"trend in both east-west and north-south directions,and the gap narrowed(widened)in east-west(north-south)direction.The carbon emission efficiency of textile industry has shown a significant positive spatial autocorrelation since 2017.The location distribution of carbon emission efficiency of textile industry changed from northeast-southwest to southeast-northwest,and the distribution center moved southward.Finally,some policy suggestions are put forward based on the research findings.

关 键 词：纺织业 Gini准则 碳排放效率 时空分异 

分 类 号：F425[经济管理—产业经济]