ORIGINAL RESEARCH
Spatial-Temporal Evolutionary Characteristics and Its Driving Mechanisms of China’s Logistics Industry Efficiency under Low Carbon Constraints
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1
School of Economics and Management, Fuzhou University, Fuzhou, China
 
2
School of Economics, Guangxi University,Nanning, China
 
 
Submission date: 2022-03-31
 
 
Final revision date: 2022-06-22
 
 
Acceptance date: 2022-06-25
 
 
Online publication date: 2022-09-26
 
 
Publication date: 2022-11-03
 
 
Corresponding author
Xinyu Wang   

School of Economics, Guangxi University, China
 
 
Pol. J. Environ. Stud. 2022;31(6):5405-5417
 
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ABSTRACT
As a pillar industry for national economic development and a key industry for carbon emission reduction in China, the logistics industry occupies a special place in the low carbon economy. In order to understand the spatial and temporal evolutionary characteristics and driving mechanisms of the efficiency of China’s logistics industry, and to decipher the development path of the traditional logistics industry, this study selects the efficiency of China’s provincial logistics industry as the research object. The study finds that the efficiency of China’s logistics industry is at a low level of development and tends to fluctuate upwards, with the provinces with higher efficiency values concentrated in the eastern region; the level of economic development, the level of information technology, government logistics regulation and environmental regulations can significantly improve the efficiency of the logistics industry in the region, but energy intensity will have a negative impact on the efficiency of the logistics industry. In addition, the level of economic development of a region has a significant ‘siphoning effect’ on other regions, inhibiting the development of the logistics industry in other regions. Finally, based on the findings of the study, recommendations are made to promote the green development of logistics.
CONFLICT OF INTEREST
The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.
 
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eISSN:2083-5906
ISSN:1230-1485
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