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制造业数字化与基于世界和发展中国家检验的碳排放强度。

Input Digitization of the Manufacturing Industry and Carbon Emission Intensity Based on Testing the World and Developing Countries.

机构信息

School of International Trade and Economics, Shandong University of Finance and Economics, Jinan 250014, China.

出版信息

Int J Environ Res Public Health. 2022 Oct 7;19(19):12855. doi: 10.3390/ijerph191912855.

DOI:10.3390/ijerph191912855
PMID:36232155
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC9565140/
Abstract

Facing the increasingly deteriorating climate, carbon emission reduction has become a global consensus. In particular, as an industry with very serious pollution emissions, the manufacturing industry is under enormous pressure to reduce environmental consumption. At the same time, against the background of rapid digitization development, the production and organization of the manufacturing industry have greatly changed, which also provides new research ideas for global carbon emission reduction. Based on the panel data of 40 major economies in the world, this paper calculates the degree of input digitization of the manufacturing industry using the input-output method and constructs a triple fixed effect model to analyze the impact of manufacturing's input digitization on its carbon emission intensity from the perspective of the world and developing countries. The research finds that, first, on the global level, input digitization significantly reduces the carbon emission intensity of manufacturing, and the effect of carbon reduction increases gradually over time, with a noticeable industry spillover effect. Second, the test results from developing countries show that the relationship between digital input from developed countries and manufacturing's carbon intensity in developing countries presents an inverted U shape. Third, heterogeneity analysis shows that digital input has the most obvious effect on carbon reduction in the pollution-intensive manufacturing sector. Tracking the sources of digital input, it is found that digital input from high-tech economies has the most obvious effect on carbon reduction. The paper takes the lead in clarifying the impact of digitization on carbon emissions from the manufacturing sector, expands the existing research on the digital economy and the environment, and also makes a theoretical contribution to global carbon emission reduction.

摘要

面对日益恶化的气候,减少碳排放已成为全球共识。特别是制造业作为污染排放非常严重的行业,面临着巨大的减排环境消耗的压力。同时,在数字化快速发展的背景下,制造业的生产和组织发生了重大变化,这也为全球碳减排提供了新的研究思路。本文基于世界 40 个主要经济体的面板数据,运用投入产出法计算制造业投入数字化程度,并构建三重固定效应模型,从全球和发展中国家两个视角分析制造业投入数字化对其碳强度的影响。研究发现:第一,在全球层面上,投入数字化显著降低了制造业的碳排放强度,且减排效应随时间逐渐增强,具有明显的行业溢出效应;第二,发展中国家的实证检验结果表明,发达国家数字投入与发展中国家制造业碳强度之间呈现倒 U 型关系;第三,异质性分析表明,数字投入对污染密集型制造业的减排效果最为明显。追溯数字投入的来源,发现高技能经济的数字投入对碳减排的效果最为显著。本文率先从制造业角度厘清了数字化对碳排放的影响,拓展了数字经济与环境的现有研究,也为全球碳减排做出了理论贡献。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0ec3/9565140/a42e61d53b90/ijerph-19-12855-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0ec3/9565140/64acad228708/ijerph-19-12855-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0ec3/9565140/744b74d8fba5/ijerph-19-12855-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0ec3/9565140/a42e61d53b90/ijerph-19-12855-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0ec3/9565140/64acad228708/ijerph-19-12855-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0ec3/9565140/744b74d8fba5/ijerph-19-12855-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0ec3/9565140/a42e61d53b90/ijerph-19-12855-g003.jpg

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本文引用的文献

1
Digital economy development and haze pollution: evidence from China.数字经济发展与雾霾污染:来自中国的证据。
Environ Sci Pollut Res Int. 2022 Oct;29(48):73210-73226. doi: 10.1007/s11356-022-20957-w. Epub 2022 May 27.
2
Energy structure, digital economy, and carbon emissions: evidence from China.能源结构、数字经济与碳排放:来自中国的证据。
Environ Sci Pollut Res Int. 2021 Dec;28(45):64606-64629. doi: 10.1007/s11356-021-15304-4. Epub 2021 Jul 27.
3
The role of information and communication technologies in mitigating carbon emissions: evidence from panel quantile regression.
信息和通信技术在减少碳排放中的作用:来自面板分位数回归的证据。
Environ Sci Pollut Res Int. 2021 May;28(17):21065-21084. doi: 10.1007/s11356-020-12114-y. Epub 2021 Jan 6.
4
Does information and communication technologies improve environmental quality in the era of globalization? An empirical analysis.在全球化时代,信息和通信技术是否能改善环境质量?一项实证分析。
Environ Sci Pollut Res Int. 2019 Mar;26(9):8594-8608. doi: 10.1007/s11356-019-04296-x. Epub 2019 Feb 1.
5
Reduced carbon emission estimates from fossil fuel combustion and cement production in China.中国化石燃料燃烧和水泥生产的碳排放量估算值降低。
Nature. 2015 Aug 20;524(7565):335-8. doi: 10.1038/nature14677.