摘要
基于"丝绸之路经济带"沿线9个省市物流业2007～2016年的数据,文章通过BC^2-DEA模型和Malmquist指数,分别从静态和动态的角度对物流业碳排放效率进行计算和评价,同时利用核密度函数对碳排放效率的动态演进趋势进行分析。研究表明物流业碳排放综合效率的差异主要来自于纯技术效率,纯技术效率可以通过增加科研投入、促进低碳节能技术的应用得到改善;物流业全要素碳排放效率受技术效率指数和技术进步变化指数的共同影响,技术效率指数的平均增长率高于技术进步变化指数的平均增长率,可以通过推动技术进步来提高全要素碳排放效率;从整体来看,物流业碳排放效率的地区差异正在逐步缩小,呈现出动态收敛的特征。物流业的低碳化发展需要调整要素投入模式,提高科技创新水平和组织管理水平,同时针对各省市制定差异化的碳减排政策。
Based on the logistics industry data covering 2007-2016 from nine provinces on the Silk Road Economic Belt, this paper measures carbon emission efficiency of logistics industry from the static and dynamic aspects by the method of BC2-DEA model and Malmquist index. Moreover, the dynamic evolution trend of carbon emission efficiency is analyzed by using Kernel density estimation. The results show that the differences in the comprehensive carbon emission efficiency of logistics industry mainly come from pure technical efficiency. It can be improved by increasing investment of scientific research and promoting the application of low-carbon and energy-saving technologies. The total factor carbon emission efficiency of logistics industry is affected by technical efficiency index and technological progress index. The average growth rate of the technical efficiency index is higher than that of the technological progress index. The total factor carbon emission efficiency can be improved by promoting tech no logical progress. On the whole, regional differences of carbon emission efficiency are narrowing and are characterized by dynamic convergence. The low-carbon development of the logistics industry needs to adjust the factor input model, improve the level of scientific and technological innovation and organizational management. At the same time, it is necessary to make different carbon reduction policies for each province.
作者
李慧
李玮
LI Hui;LI Wei(School of Economics and Management. Taiyuan University of Technology, Taiyuan 03(K)24, China)
出处
《环境科学与技术》
CAS
CSCD
北大核心
2019年第3期165-171,共7页
Environmental Science & Technology
基金
国家自然科学基金项目(71373170)
山西省软科学项目(2017041006)
关键词
丝绸之路经济带
物流业
碳排放效率
Kernel密度估计
the Silk Road Economic Belt
logistics industry
carbon emission efficiency
Kernel density estimation
