Efficiency evaluation of China's provincial logistics industry under low carbon economy：Based on three-stage DEA and K-means cluster analysis methods

doi:10.14088/j.cnki.issn0439-8114.2020.12.045

Abstract

Abstract: 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.

Key words: low carbon, logistics industry, efficiency evaluation, three-stage DEA, K-means cluster

CLC Number:

F223

SU Gui-ying, QIAO Zhu. Efficiency evaluation of China's provincial logistics industry under low carbon economy：Based on three-stage DEA and K-means cluster analysis methods[J]. HUBEI AGRICULTURAL SCIENCES, 2020, 59(12): 206-212.

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