哈长城市群环境生态效率及其影响因素分析——基于非期望SBM-Shannon Entropy模型  

Analysis on Environmental Ecological Efficiency and Its Influencing Factors of Harbin-Changchun Megalopolis——Based on unexpected SBM-Shannon entropy model

作　　者：尚海潮 付应雄 陈维国 刘雨佳 于瑛英[3] SHANG Hai-chao;FU Ying-xiong;CHEN Wei-guo;LIU Yu-jia;YU Ying-ying(Faculty of Mathematics and Statistics,Hubei University,Wuhan 430062,China;School of Economics and Management,Beijing University of Technology,Beijing 100124,China;Management School of Information,Beijing Information Science and Technology University,Beijing 100192,China)

机构地区：[1]湖北大学数学与统计学学院,湖北武汉430062 [2]北京工业大学经济与管理学院,北京100124 [3]北京信息科技大学信息管理学院,北京100192

出　　处：《数学的实践与认识》2021年第4期264-275,共12页Mathematics in Practice and Theory

基　　金：北京市自然科学基金(9202002);国家自然科学基金(61673381)。

摘　　要：选取哈长城市群的10个城市作为研究对象,利用2006-2015年的面板数据,测算哈长城市群各城市生态效率并分析影响生态效率的因素.首先运用非期望产出的SBM-Shannon Entropy模型计算各市的生态效率CES得分(Comprehensive Efficiency Score,CES),然后构建Tobit回归模型对CES得分的影响因素进行分析.研究结果表明:哈长城市群2006-2015年生态效率CES得分均值在2011-2014年呈下降趋势,2015年有所回升;其中,大庆市、松原市和绥化市生态效率CES得分均值较高,而牡丹江市、吉林市以及辽源市得分均值在0.5以下.回归分析表明:经济发展水平、地区因素、产业结构、地区对外开放程度、科学技术及企业的管理能力对哈长城市群生态效率CES有显著影响.Ten cities in the Harbin-Changchun megalopolis are selected as the research objects,and panel data from 2006 to 2015 is used to measure the ecological efficiency of each city in the Hachang urban agglomeration and analyze the factors affecting the eco-efficiency.First,the Unexpected SBM-Shannon Entropy model measures the comprehensive efficiency scores(Comprehensive Efficiency Score,CES)of the city’s ecological efficiency,and then uses the Tobit regression model to analyze the factors that affect the CES score.The research results show that the average CES score of the ecological efficiency in 2006-2015 of the HarbinChangchun megalopolis is presented the downward trend in 2011-2014,and it has picked up in2015;among them,the average CES scores of ecological efficiency in Daqing,Songyuan,and Suihua are higher,while the average scores of Mudanjiang,Jilin,and Liaoyuan are below 0.6.Regression analysis shows that the level of economic development,regional factors,industrial structure,the degree of regional openness,science and technology and corporate environmental management capabilities have a significant impact on the CES score of the ecological efficiency of the Harbin-Changchun megalopolis.

关 键 词：生态效率 数据包络分析 非期望SBM-Shannon Entropy模型 综合效率得分(Comprehensive Efficiency Score CES) TOBIT回归模型 

分 类 号：X826[环境科学与工程—环境工程]