Measurement of CO 2 Emissions Efficiency and Analysis of Influencing Factors of the Logistics Industry in Nine Coastal Provinces of China
Hanxin Wang,
Weiqian Liu and
Yi Liang ()
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Hanxin Wang: School of Management, Hebei GEO University, Shijiazhuang 050031, China
Weiqian Liu: School of Management, Hebei GEO University, Shijiazhuang 050031, China
Yi Liang: School of Management, Hebei GEO University, Shijiazhuang 050031, China
Sustainability, 2023, vol. 15, issue 19, 1-21
Abstract:
The surge in CO 2 emissions affects global climate change and the development of society. The logistics industry, being a swiftly advancing industry, demonstrates an escalating trend in CO 2 emissions. Therefore, this paper selects the more developed coastal provinces (districts) in China’s logistics industry and takes 2011–2020 as the research period. Using the Super-SBM model and the Malmquist index model, the article analyzes the changes in the carbon emission efficiency of the logistics industry from the static and dynamic perspectives and then explores the factors affecting it using the panel model and the mediating effect model. Findings from research indicate that: (1) The CO 2 emission efficiency of the logistics industry is generally moderate when viewed from a static perspective. (2) Taking a dynamic viewpoint, there is a slight declining trend in the overall CO 2 emission efficiency. (3) As environmental regulations become more stringent, the CO 2 emission efficiency follows the “U”-shaped pattern, initially declining and then rising. Environmental regulations can influence CO 2 emission efficiency by affecting technological innovation. Additionally, energy efficiency plays a positive role in promoting CO 2 emission efficiency. Recommendations: Implement differentiated environmental regulations tailored to local conditions. Emphasize technological innovations. Enhance the energy efficiency.
Keywords: CO 2 emissions efficiency; Super-SBM model; Malmquist index model; mediation effect model; environmental regulations; green development (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2023
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)
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Persistent link: https://EconPapers.repec.org/RePEc:gam:jsusta:v:15:y:2023:i:19:p:14423-:d:1252351
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