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数字赋能背景下物流企业全要素生产率分析 被引量:1

Total Factor Productivity Analysis of Logistics Enterprises in the Context of Digital Empowerment
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摘要 以我国19家上市物流企业为研究对象,运用DEA-Malmquist指数模型对其2016-2021年的数字技术投入产出效率进行动态测算分析,为推动我国物流业与数字经济融合发展、优化物流企业生产效率提供实证依据。研究结果显示:2016-2021年全国19个上市物流企业综合效率总体为向上趋势,但均值不高,发展存在波动,其技术进步效率起伏是主导因素。此外,技术效率变化主要受规模效率变化影响,且各类型企业间存在着发展不均衡问题。因此,我国物流企业应尽快提升企业数字技术水平,优化企业资源配置,打造低耗能高效率产出模式,同时政府应加快完善智慧物流标准化体系,推动物流业系统化、规范化发展。 Taking 19 Listed logistics enterprises as the study objects, this paper dynamically calculates and analyzes the input-output efficiency of digital technology from 2016 to 2021 by using DEA-Malmquist index model, and provides positive support for promoting the integrated development of China’s logistics industry and digital economy and optimizing the production efficiency of logistics enterprises.The research results show that the overall comprehensive efficiency of the 19 listed logistics enterprises in China from 2016-2021 is generally on an upward trend, but the average value is not high and there are fluctuations in development, with the ups and downs of their technical progress efficiency being the dominant factor.In addition, technical efficiency changes are mainly influenced by changes in scale efficiency, and there are uneven development problems among various types of enterprises.Therefore, China’s logistics enterprises should improve the level of enterprises’ digital technology as soon as possible, optimize the allocation of enterprise resources and create a low-consumption and high-efficiency output model, while the government should accelerate the improvement of the standardization system of intelligent logistics and promote the systematic and standardized development of the logistics industry.
作者 王一萌 任芳容 田泽 WANG Yi-meng;REN Fang-rong;TIAN Ze(School of Economics and Management,Nanjing Forestry University,Nanjing 210037;Business School,Hohai University,Nanjing 211100,China)
出处 《物流工程与管理》 2023年第2期110-113,共4页 Logistics Engineering and Management
基金 南京市软科学研究计划重点项目《数字经济创新驱动南京重点产业“智改数转”高质量发展的机制与路径研究》(202206005) 江苏省高校哲学社会科学研究重大项目《“双碳”背景下数字经济赋能江苏制造业绿色转型的关键问题与创新路径研究》(2022SJZDA053) 江苏省社科项目《工业互联网赋能江苏“专精特新”企业数字化转型:主导机理与路径研究》(22GLD019)。
关键词 数字经济 物流企业 DEA-Malmquist指数模型 全要素生产率 digital economy logistics enterprise DEA-Malmquist index model total factor productivity
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