中国物流业能源生态效率与其影响因素的动态响应研究  

Research on Dynamic Response of Energy Eco-efficiency of China’s Logistics Industry to Influencing Factors

作　　者：张瑞[1] 胡彦勇 郄晓彤 ZHANG Rui;HU Yan-yong;QIE Xiao-tong(School of Management,China University of Mining and Technology,Beijing 100083,China)

机构地区：[1]中国矿业大学(北京)管理学院,北京100083

出　　处：《经济问题》2021年第8期9-17,共9页On Economic Problems

基　　金：国家自然科学基金项目“碳交易机制下企业多周期运营优化及供应链动态协调研究”(71502050);中国矿业大学(北京)越崎青年学者资助项目“中国能源效率影响因素及系统优化研究”(800015Z1121)。

摘　　要：基于超效率SBM模型测度分析了2005—2019年中国30个省(自治区、直辖市)物流业的能源生态效率,并构建PVAR模型考察能源生态效率与其影响因素地区经济水平、政府投入、城镇化进程之间的动态均衡关系。研究结果表明:2005—2019年中国物流业能源生态效率总体呈下降趋势,区域间差异明显,大部分省(自治区、直辖市)处于中高效率水平。通过面板向量自回归模型可知,物流业能源生态效率具有驱动惯性,前期发展水平会对后期发展产生显著影响。此外,地区经济水平和政府投入对能源生态效率的影响就长期而言起正向推动作用,而城镇化进程对能源生态效率的促进作用不太显著,需要加快建设新型城镇化。This paper analyzes the energy eco-efficiency of the logistics industry in China’s 30 provinces and cities from 2005 to 2019 based on the super-efficiency SBM model.PVAR model constructed to examine the dynamic equilibrium relationship between energy ecological efficiency and influencing factors which include regional economic level,government input,and urbanization process.The results of the study show that the energy eco-efficiency of China’s logistics industry showed a downward trend from 2005 to 2019,with obvious regional differences,and most provinces and cities were at a low efficiency level.The panel vector autoregressive model shows that the energy ecological efficiency of the logistics industry has driving inertia,and the early development level will have a significant impact on the later development.In addition,the impact of regional economic levels and government input on energy eco-efficiency has played a positive role in the long run,while the promotion of energy ecoefficiency by the urbanization process is not significant,and the construction of new urbanization needs to be accelerated.

关 键 词：物流业 能源生态效率 超效率SBM模型 PVAR模型 

分 类 号：F124.6[经济管理—世界经济]