基于Shapley Value-CCR我国各省煤炭利用效率及其影响因素分析  

Based on Shapley Value-CCR Analysis of coal Utilization Efficiency and Its Influencing Factors in Chinese Provinces

作　　者：刘雨佳 付应雄 陈维国 付辉敬 于瑛英[3] LIU Yu-jia;FU Ying-xiong;CHEN Wei-guo;FU Hui-jing;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;School of Information Management,Beijing University of Information Technology,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5期13-26,共14页Mathematics in Practice and Theory

基　　金：北京市自然科学基金项目(9202002);基于空间DEA的京津冀地区能源环境效率评价及排污权分配研究。

摘　　要：以往使用DEA研究煤炭效率的文献中,并没有从定量的角度去选择输入输出变量集.利用Shapley值法合理定量的确定投入产出指标体系,然后利用CCR模型、生态低效模型对2015年全国各省的煤炭利用效率进行了测算与分析,最后对影响煤炭效率的因素做进一步的空间计量分析.实证分析表明:1)北京、天津、内蒙古、上海、海南实现了生态高效,全国总体的平均煤炭利用效率为0.4787.2)全员劳动率和科技进步对煤炭利用效率有显著的正向影响,而投资水平和产业结构对煤炭利用效率有显著的负向影响.Previous studies using DEA efficiency of coal in the literature,is not to choose from a quantitative point of view,input and output variables set.This paper use the Shapley value method for quantitative determination of reasonable input and output index system,and then use the CCR model,ecological inefficient model on the 2015 national provincial ecological efficiency of coal utilization to the calculation and analysis,finally,the influence factors of affecting the efficiency of coal for further spatial econometric analysis.The empirical analysis shows that:1) Beijing,Tianjin,Inner Mongolia,Shanghai and Hainan have achieved ecological efficiency,and the national average ecological efficiency of coal utilization is 0.4787.2) The total labor rate and scientific and technological progress have significant positive effects on coal utilization efficiency,while the investment level and industrial structure have significant negative effects.

关 键 词：数据包络分析 SHAPLEY值 煤炭生态效率 非期望产出 空间计量分析 

分 类 号：F426.21[经济管理—产业经济] F224