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基于不同空气污染水平的制造业绿色生产率分析。

Analysis of green productivity in manufacturing based on different air pollution levels.

作者信息

Liu Jieming, Yu Man

机构信息

School of Law, Humanities and Sociology, Wuhan University of Technology, Wuhan, 430070, Hubei, China.

School of Economics, Wuhan University of Technology, Wuhan, 430070, Hubei, China.

出版信息

Sci Rep. 2024 Oct 11;14(1):23817. doi: 10.1038/s41598-024-74845-z.

Abstract

China's manufacturing industry needs to change from a high-emission model to one that is more environmentally friendly to reduce air pollution and achieve sustainable growth. Therefore, it is important to decrease manufacturing waste gas emissions by improving green productivity. This paper expands on the theories of green economic growth and sustainable development to present a framework for analysis of manufacturing green productivity at various levels of air pollution. It applies the Metafrontier Malmquist Luenberger index and SBM model to data from 30 Chinese manufacturing sectors from 2012 to 2022 to identify the obstacles to developing green productivity in the manufacturing sectors. The results show that: (1) From 2012 to 2022, the overall waste gas emission efficiency and GTFP of China's manufacturing industry showed an increasing trend. (2) The manufacturing industry with light air pollution had the fastest growth in GTFP, followed by manufacturing with heavy air pollution, and manufacturing with moderate air pollution had the lowest. (3) The primary driver of GTFP growth is technological progress, while technical inefficiency has severely hindered GTFP growth. (4) There is a "Matthew effect" in the green productivity of China's manufacturing industry. High waste gas emission efficiency often accompanies high levels of GTFP, and vice versa. Finally, this paper proposes policy suggestions to improve the green productivity of the manufacturing industry and reduce air pollution.

摘要

中国制造业需要从高排放模式转变为更环保的模式,以减少空气污染并实现可持续增长。因此,通过提高绿色生产率来减少制造业废气排放至关重要。本文扩展了绿色经济增长和可持续发展理论,提出了一个在不同空气污染水平下分析制造业绿色生产率的框架。它将元前沿Malmquist-Luenberger指数和SBM模型应用于2012年至2022年中国30个制造业部门的数据,以识别制造业部门发展绿色生产率的障碍。结果表明:(1)2012年至2022年,中国制造业的整体废气排放效率和绿色全要素生产率呈上升趋势。(2)轻度空气污染制造业的绿色全要素生产率增长最快,其次是重度空气污染制造业,中度空气污染制造业的增长最低。(3)绿色全要素生产率增长的主要驱动力是技术进步,而技术无效率严重阻碍了绿色全要素生产率增长。(4)中国制造业的绿色生产率存在“马太效应”。高废气排放效率往往伴随着高水平的绿色全要素生产率,反之亦然。最后,本文提出了提高制造业绿色生产率和减少空气污染的政策建议。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4ddc/11470081/b5437a1c42e3/41598_2024_74845_Fig1_HTML.jpg

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