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数字经济、产业结构升级与绿色全要素生产率——来自中国纺织服装业的证据。

Digital economy, industrial structure upgrading and green total factor productivity--Evidence in textile and apparel industry from China.

机构信息

School of Economics and Management, North University of China, Taiyuan, Shanxi, China.

出版信息

PLoS One. 2022 Nov 4;17(11):e0277259. doi: 10.1371/journal.pone.0277259. eCollection 2022.

Abstract

According to the standard of GB/T4754-2017 Classification of National Economic Industry and the characteristics of the textile and apparel industry, the textile and apparel industry is divided into three categories: textile industry, clothing industry and chemical fiber manufacturing industry. Based on the panel data of the textile and apparel industry from 2010 to 2019, this paper measures green total factor productivity (GTFP) by using the unexpected output super efficiency SBM model and the ML index. On this basis, this paper empirically tests the impact of digital economy on the GTFP of textile and apparel industry, and the dual intermediary effects of rationalization of industrial structure and advanced industrial structure are discussed. The results show that: (1) The GTFP of the textile and apparel industry shows a fluctuating upward trend, but it is in a state of low growth. (2) Digital economy has a significant effect on promoting the GTFP. Among them, it has a positive effect on the improvement of GTFP in textile industry, but has no obvious effect on the clothing industry, and has a restraining effect on the chemical fiber manufacturing industry. (3) In the process of the impact of digital economy on GTFP, the rationalization of industrial structure has a partial intermediary effect, and the level of effect reaches 35.81%, while the advancement of industrial structure does not necessarily have a "structural dividend", and its influence on GTFP is non-linear. This paper enriches the research on the influencing factors of GTFP, and is also an effective supplement to the research on digital economy. The conclusions provide a reliable empirical basis for digital economy to help the textile and apparel industry pollution control, and also provide policy references for giving full play to the green value of digital economy.

摘要

根据 GB/T4754-2017《国民经济行业分类》标准和纺织服装行业特点,将纺织服装行业分为纺织业、服装业和化纤制造业三大类。基于 2010-2019 年纺织服装行业面板数据,采用非期望产出超效率 SBM 模型和 ML 指数测算了绿色全要素生产率(GTFP)。在此基础上,实证检验了数字经济对纺织服装行业 GTFP 的影响,并探讨了产业结构合理化和高级化的双重中介效应。结果表明:(1)纺织服装行业 GTFP 呈波动上升趋势,但增长乏力;(2)数字经济对提升 GTFP 具有显著正向作用,其中对纺织业 GTFP 的提升作用较为明显,对服装业影响不明显,对化纤制造业则具有抑制作用;(3)在数字经济影响 GTFP 的过程中,产业结构合理化具有部分中介效应,效应水平达到 35.81%,而产业结构高级化并不一定具有“结构红利”,其对 GTFP 的影响是非线性的。本文丰富了 GTFP 影响因素的研究,也是对数字经济研究的有效补充。结论为数字经济助力纺织服装行业污染治理提供了可靠的实证依据,也为充分发挥数字经济的绿色价值提供了政策参考。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1f5d/9635753/63c46669acb5/pone.0277259.g001.jpg

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