Abstract
This paper studies the logistics efficiency of the Beijing-Tianjin-Hebei region under the background of low-carbon economy from 2012 to 2017. We introduce the carbon dioxide emission into the input indicators on the basis of the pollutant input method, and we use the BCC model and Malmquist index model to make both static and dynamic efficiency evaluations of logistics industry. Also, we use the projection analysis method to analyze the root causes of DMUs with non-DEA efficiency. According to the problems of logistics efficiency in Beijing-Tianjin-Hebei region, we put forward some recommendations to help the whole region achieve collaborative development under the low-carbon environment.
Highlights
The Beijing-Tianjin-Hebei region is China's "capital economic circle" and the region with the largest economy scale and the greatest development potential in northern China
From the perspective of decomposition of TFP, we find that the technology change (TECHCH) increases by 0.9% while the efficiency change (EFFCH) decreases by 2.6%, EFFCH is the significant reason for the declination of Total Factor Productivity change (TFPCH)
The results show that the comprehensive efficiency of logistics industry in the entire BeijingTianjin-Hebei region from 2012 to 2017 is 0.810, which is significantly lower than the own efficiency value of the three regions
Summary
The Beijing-Tianjin-Hebei region is China's "capital economic circle" and the region with the largest economy scale and the greatest development potential in northern China. Deng et al (2020) used the SBM-DEA model to analyze logistics efficiency of 30 provinces in China under low carbon constraint[1]; Guo et al (2018) used the DEABCC model to calculate the logistics efficiency in the Beijing-Tianjin-Hebei region and used the projection analysis to analyze the non-DEA effective DMUs4. Based on the current researches, this paper introduces CO2 emissions of logistics industry into the input indicators and analyzes both static and dynamic efficiency by the BCC model and Malmquist index model. This paper uses the projection analysis method to analyze the factors that affect logistics efficiency, so as to promote more suitable recommendations for the development of logistics industry in the Beijing-TianjinHebei region
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