Research on the Evaluation of Logistics Efficiency and Influencing Factors in Sichuan Province

Weimin Lin, Chenghua Liu and Jia Kong ()
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Weimin Lin: Chengdu University of Information Technology, School of Logistics
Chenghua Liu: Chengdu University of Information Technology, School of Logistics
Jia Kong: Chengdu University of Information Technology, School of Logistics

A chapter in Proceedings of the 2022 4th International Conference on Economic Management and Cultural Industry (ICEMCI 2022), 2023, pp 40-41 from Springer

Abstract: Abstract In order to investigate the development of regional logistics efficiency, a logistics efficiency evaluation index system was constructed from three dimensions: logistics efficiency input, logistics efficiency output and influencing factors, and 10 indicators were selected. The results show that: the overall logistics efficiency of Sichuan Province is on the rise, from 0.001 in 2011 to 0.755 in 2020, which is a good development trend; the fixed asset investment in logistics industry X1, gross regional product X8 and financial transportation expenditure X9 are the key factors affecting the development of logistics industry; in order to improve the level of regional logistics development, it is proposed to improve the factor input mechanism and strengthen the level of logistics resource allocation.

Keywords: logistics industry; efficiency; entropy TOPSIS model; gray correlation analysis; Sichuan Province (search for similar items in EconPapers)
Date: 2023
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DOI: 10.2991/978-94-6463-098-5_6

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