Evaluation of Logistics-Industry Efficiency and Enhancement Path in China’s Yellow River Basin under Dual Carbon Targets

Changrong Dong (), Gongmin Zhao, Yuanhao Wang, Yongjie Wu and Haimeng Liang
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Changrong Dong: School of Economics and Management, North University of China, Taiyuan 030051, China
Gongmin Zhao: School of Economics and Management, North University of China, Taiyuan 030051, China
Yuanhao Wang: Twenty-Fifth Institute of the Second Academy, China Aerospace Science & Industry Corporation, Beijing 100854, China
Yongjie Wu: School of Economics and Management, North University of China, Taiyuan 030051, China
Haimeng Liang: School of Economics and Management, North University of China, Taiyuan 030051, China

Sustainability, 2023, vol. 15, issue 17, 1-19

Abstract: Enhancing circulation efficiency and helping green development have become essential requirements for ecological protection and high-quality development in the Yellow River Basin. Based on the panel data of China’s Yellow River Basin from 2011 to 2020, the static and dynamic efficiencies of the logistics industry in the nine provinces of the Yellow River Basin were measured by using the super-efficiency SBM model and the Malmquist index model. Then, government support, economic level, industrial agglomeration, technological innovation, openness, and environmental regulation were selected as antecedent variables; the efficiency value of the logistics industry in the Yellow River Basin was selected as the outcome variable; and combined with the fsQCA method, analyzed from a group perspective, four group paths were obtained: economic openness-type path, technology industry-type path, government intervention-type path, and non-environmental-regulation path. The conclusion can deepen the systematic understanding of the group path of the logistics industry and can provide theoretical guidance for regions to improve the efficiency of the logistics industry and promote green development.

Keywords: efficiency of the logistics industry; super-efficient SBM; Malmquist model; dual carbon perspective; fsQCA (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2023
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