基于三阶段SBM-DEA模型的中国区域碳排放效率研究  

Analysis of the Low Carbon Economy Efficiency in China:Based on a Method of Three Stage SBM-DEA Model with Undesirable Outputs

作　　者：陈晓红[1,2] 易国栋[1,2] 刘翔[1] 

机构地区：[1]中南大学商学院,湖南长沙410083 [2]湖南商学院大数据与互联网创新研究院,湖南长沙410205

出　　处：《运筹与管理》2017年第3期115-122,共8页Operations Research and Management Science

基　　金：国家自然科学基金重点项目(71431006);教育部哲学社会科学研究重大课题攻关项目(16JZD013)

摘　　要：结合非期望产出的SBM-DEA模型与SFA方法,提出基于非期望产出的三阶段SBM-DEA模型,用于对全要素碳排放效率的测算。该模型具有非径向和非角度的特点,而且能剔除外部环境和随机因素的影响,使效率评价更接近实际情况。运用该模型对2000~2012年我国各区域二氧化碳排放绩效进行了评价与分析。结果表明,全国平均碳排放效率不高,但从2006年呈现加速上升趋势,表现了低碳经济良好的发展态势。剔除外部环境和随机因素影响后的碳减排效率将进一步下降。分区域来看,我国碳排放效率呈现出"东>中>西"的格局,且东部的优势有所扩大。基于对投入、产出冗余以及外部环境因素影响的分析表明,提升能源、资本、人员的配置效率,加强东部地区与中西部地区之间的人才和技术交流,有利于提升碳排放效率。This paper proposes a three-stage SBM-DEA approach to estimate the performance of low carbon econo- my efficiency（LCEE） in China during the period 2000 ~ 2012. The three-stage SBM-DEA approach is non-radial and non-oriented and can eliminating the impacts of external environment and random factors. The results indi- cate that the scores of LCEE in most provinces in China are small and see continuing decrease until 2006, when the LCEE show upward trends. Comparing to the one in the first stage, the performances of LCEE in the third stage are smaller, which illustrates that the external environment variables indeed impact the performance of LCEE. The Eastern area shows the best performance of LCEE, and followed by the Central and Western areas. Moreover, based on the analysis of input and output slacks, as well as the external environment variables which reflect the economic features of a province, it can be found that improving the resources-allocation efficiency among the Eastern, Central and Western areas is critical to improve LCEE. In addition, factors market reform should be implemented to promote technology and management advantages of improving LCEE in the Eastern area flow into the Central and Western areas, so as to improve their LCEE.

关 键 词：碳排放效率 三阶段DEA SBM模型 SFA回归 

分 类 号：F124.6[经济管理—世界经济]