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低碳经济下中国省域物流业效率评价——基于三阶段DEA及K-means聚类分析法 被引量:8

Efficiency evaluation of China's provincial logistics industry under low carbon economy:Based on three-stage DEA and K-means cluster analysis methods
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摘要 根据2009—2016年全国30个省(市、自治区)物流业数据,基于低碳经济的发展理念,将能源消耗量和碳排放量引入投入变量,采用三阶段DEA模型对物流业效率进行评价。结果显示,全国物流业总体发展水平不高,仍处于规模效率递增阶段,且各地区发展水平存在差异。为有效提高全国物流业效率,以纯技术效率和规模效率为标准对全国30个省(市、自治区)进行K-means聚类分析,并根据不同类别物流业的发展水平,提出相应建议和对策。 According to the 2009—2016 national logistics data of 30 provinces(city,autonomous regions),based on the development concept of low carbon economy,the energy consumption and carbon emissions is input variables,the three-stage DEA model is used to evaluate the efficiency of the logistics industry.The results showed that the overall development level of China was not high,the logistics industry was still in the stage of increasing scale efficiency,there were differences in the development level of different regions.To effectively improve the efficiency of the logistics industry,pure technical efficiency and scale efficiency for the standard,the k-means cluster analysis was carried out for 30 provinces(city,autonomous regions)in China,and put forward corresponding suggestions and countermeasures according to the development level of different types of logistics industry.
作者 苏贵影 乔竹 SU Gui-ying;QIAO Zhu(College of Economics and Management,North University of China,Taiyuan 030010,China)
出处 《湖北农业科学》 2020年第12期206-212,F0003,共8页 Hubei Agricultural Sciences
基金 2018年山西省哲学社会科学资助项目。
关键词 低碳 物流业 效率评价 三阶段DEA K-MEANS聚类 low carbon logistics industry efficiency evaluation three-stage DEA K-means cluster
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