数字化转型
业务
产业组织
碳纤维
中国
公司治理
转化(遗传学)
强度(物理)
发射强度
上游(联网)
自然资源经济学
环境经济学
经济
计算机科学
工程类
化学
电信
财务
物理
基因
生物化学
激发
电气工程
算法
量子力学
万维网
复合数
政治学
法学
作者
Pengyu Yang,Kejia Guo,Jing Jia,Yulin Yin
出处
期刊:PLOS ONE
[Public Library of Science]
日期:2024-12-19
卷期号:19 (12): e0313870-e0313870
被引量:3
标识
DOI:10.1371/journal.pone.0313870
摘要
Digital transformation is crucial for sustainable development of enterprises and for addressing the conundrum of "efficiency and environment". Utilizing a dataset from A-share listed companies in China from 2007 to 2021, this paper investigates the direct impact, underlying mechanism and driving effect of enterprise digital transformation on carbon emission intensity. The findings reveal that: (1) At this stage, digital transformation in listed companies effectively reduces their carbon intensity, but the relationship between the two is not linear; instead, it exhibits a U-shaped trajectory, initially decreasing then increasing. (2) Analysis of mechanism indicates that costs associated with environmental governance and innovations in green technology serve as critical pathways through which corporate digital transformation influences carbon intensity. (3) The analysis of driving effect suggests that the digital transformation significantly curtails the carbon emission intensity of both upstream and downstream enterprises as well as those within the same industry and geographical region, through industrial linkage and the cohort effect. (4) Heterogeneity analysis elucidates that the digital transformation of enterprises in regions with stronger government environmental regulations has a markedly more pronounced effect on reducing the carbon emission intensity. Furthermore, the carbon emission reduction effect of digital transformation is more potent in capital-intensive and technology-intensive enterprises compared to labor-intensive enterprises. This paper offers valuable insights for fostering enterprise digital transformation and promoting green, low-carbon development aligned with the "dual-carbon" strategy.
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