基于改进非期望SBM模型的工业能源效率测度研究——以山东省17地市面板数据为例  

A Study on Industrial Energy Efficiency Measurement Based on Improved Undesirable SBM Model——Evidence from the Panel Data of 17 Prefecture-level Cities in Shandong Province

作　　者：王景波[1,2] 刘忠诚[1] 张佳[1] 

机构地区：[1]山东科技大学财经系,山东济南250031 [2]南京航空航天大学经济与管理学院,江苏南京211106

出　　处：《华东经济管理》2017年第7期25-30,共6页East China Economic Management

基　　金：国家社会科学基金项目(15ZDB163;11BJY121);教育部人文社会科学基金规划项目(11YJA790133);山东省高校人文社会科学研究计划项目(J16YF38)

摘　　要：文章运用最有效距离为前沿面顶点的改进非期望SBM模型和GMM动态回归模型,对山东省2005-2015年17地市工业行业的能源效率及其影响因素进行实证研究。结果表明:山东省工业能源效率整体水平偏低,节能潜力为16%~36%;各地市间工业能源效率存在显著差异,但差异程度不断缩小,低效率地市不断"追赶"高效率地市;影响因素中能源消费结构和产业结构对能源效率有较强的抑制作用,而经济发展水平、技术创新和开放程度对能源效率提升作用较小。This paper makes an empirical study on industrial energy efficiency and its influencing factors of 17 prefecture-level cities in Shandong province from 2005 to 2015 by using the improved most effective distance undesirable SBM model and GMM dynamic regression model. The results show that： The overall level of industrial energy efficiency in Shandong province is low, the energy saving potential is about 16% to 36%; The industrial energy efficiency is significantly different between all the cities, hut the degree of difference is shrinking, and inefficient cities are constantly ＂catching up with＂ efficient cities; Among influencing factors, energy consumption structure and industrial structure have strong inhibitory effects on energy efficiency, whereas economic development level, technological innovation and the degree of openness have small promoting effects on energy efficiency.

关 键 词：能源效率 工业行业 改进非期望SBM模型 GMM动态回归模型 

分 类 号：F127[经济管理—世界经济] F406.5