Total Factor Productivity of Logistics Industry Based on DEA-Malmquist Index Model

2023 IEEE International Conference on Integrated Circuits and Communication Systems (ICICACS) Pub Date : 2023-02-24 DOI:10.1109/ICICACS57338.2023.10100126

Ya-Zhe Huang, P. Yang

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Abstract

Production efficiency evaluation of logistics industry is an important basis for national policy adjustment of logistics industry. Using Deap 2.1 software and the relevant panel data obtained from the National Bureau of Statistics, this paper estimates the TFP of logistics industry by DEA-Malmquist index model. Based on the trends of TFP and its decomposition indicators, it finds out the improvement of TFP of Chinese logistics industry in the past decade is mainly driven by technological progress, and the input of Chinese logistics industry is stable both in capital input and labor input, and the resources and efficiency of Chinese logistics industry have achieved a steady match, Chinese logistics industry has basically reached the optimal scale and achieved economies of scale from 2012 to 2021. At last, this paper points out that in the future period of time when the epidemic becomes normal, Chinese logistics industry will further increase technology investment, and its TFP will usher in a huge improvement.

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基于DEA-Malmquist指数模型的物流业全要素生产率研究

物流业生产效率评价是国家物流业政策调整的重要依据。本文利用Deap 2.1软件和国家统计局的相关面板数据，采用DEA-Malmquist指数模型对物流业全要素生产率进行了估算。基于TFP的变化趋势及其分解指标，发现近十年来中国物流业TFP的提升主要是由技术进步驱动的，中国物流业的投入在资金投入和劳动力投入上都是稳定的，中国物流业的资源和效率实现了稳定的匹配，中国物流业在2012 - 2021年基本达到了最优规模，实现了规模经济。最后，本文指出，在疫情趋于常态的未来一段时间内，中国物流业将进一步加大技术投入，全要素生产率将迎来巨大提升。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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2023 IEEE International Conference on Integrated Circuits and Communication Systems (ICICACS)

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