Research on Input-Output Efficiency and Influencing Factors of Listed Logistics Enterprises
DOI:
https://doi.org/10.54097/32z03a78Keywords:
Listed logistics enterprises, Input-output efficiency, Malmquist index model, BCC model, Multiple linear regression modelAbstract
This paper mainly analyzes the input-output efficiency of 25 listed logistics enterprises from 2012 to 2020, and draws the following conclusions: 1) From the perspective of the change of comprehensive technical efficiency, the comprehensive technical efficiency change index of most enterprises is less than 1, which indicates that the improper management mode and decision-making of these enterprises hinder the improvement of enterprise efficiency. The comprehensive technical efficiency of listed logistics enterprises is analyzed by using the BCC model, and the conclusion is that the comprehensive technical efficiency of most listed logistics enterprises is less than 1 during 2012-2020, which indicates that the input-output of most listed logistics enterprises is not optimal. 2) Regional GDP, the proportion of employees with bachelor's degree or above and the total asset turnover have no significant influence on the input-output efficiency of listed logistics enterprises; The total assets of enterprises are negatively correlated to the input-output efficiency.
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References
T.T. Zhou, “Study on total factor productivity of logistics industry in Shandong Province based on DEA-Malmquist index,” Technology Innovation Monthly, 2021, 34 (05): 69-72.
Y. Wu, “Research on Input-Output Efficiency and Influencing Factors of Logistics Listed Companies,” Xi 'an University of Science and Technology, 2019.
L.Y. Ren, X.F. Li, “Research on innovation efficiency and Influencing factors of high-tech enterprises in Tianjin Port Free Trade Zone: Based on data envelopment analysis method and Tobin model,” Technology and industry, 2023, 23 (18): 47-53.
G.L. Li, “Research on input-output efficiency measurement and optimization countermeasures of listed logistics enterprises in China,” Hebei GEO University, 2022.
Q. Li, B.J. Liu, “Research on the efficiency of listed companies in information transmission, software and information technology services: Based on DEA and DEA-Malmquist models,” Prices in China, 2020, (03): 104-107.
L.Y. Cao, “Study on input-output efficiency of logistics enterprises and its influencing factors,” Jiangnan University, 2022.
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This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.
