{"title":"Digital transformation, intelligent device utilization, and carbon emission reduction","authors":"Yuzhou Chu, Mingwang Cheng, Xiyao Zhao, Di Zhou","doi":"10.1016/j.jdec.2023.12.004","DOIUrl":null,"url":null,"abstract":"<div><p>In the context of China's rapidly growing digital economy, exploring the potential to reduce carbon emissions from the perspective of enterprise digitization is of vital practical significance for achieving ambitious \"carbon peak\" and \"carbon neutrality\" goals. This paper uses data from A-share listed companies as a sample pool spanning the years 2014–2020 and finds that a nonlinear, inverted U-shaped relationship exists between enterprise digital transformation and carbon emissions. We further construct several robustness tests and show that the effect remains significant after accounting for the endogeneity issue using IV regressions. Heterogeneity analysis indicates that the effect of digital transformation on carbon emissions is influenced by the regional economic development level and the ownership structure of enterprises. Notably, in non-state-owned enterprises and economically advanced regions, the influence of digital transformation on carbon emissions becomes more pronounced. This paper provides explicit policy implications. It is suggested that enterprises accelerate their digital transformation by integrating smart device development into their production and operations and government should give support to digital transformation to facilitate industrial upgrading, and further promote China's pursuit of high-quality and sustainable economic development.</p></div>","PeriodicalId":100773,"journal":{"name":"Journal of Digital Economy","volume":"2 ","pages":"Pages 175-189"},"PeriodicalIF":0.0000,"publicationDate":"2023-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2773067023000274/pdfft?md5=4784b5e408a1266b0ea79d62fdc53173&pid=1-s2.0-S2773067023000274-main.pdf","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Digital Economy","FirstCategoryId":"1085","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S2773067023000274","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
In the context of China's rapidly growing digital economy, exploring the potential to reduce carbon emissions from the perspective of enterprise digitization is of vital practical significance for achieving ambitious "carbon peak" and "carbon neutrality" goals. This paper uses data from A-share listed companies as a sample pool spanning the years 2014–2020 and finds that a nonlinear, inverted U-shaped relationship exists between enterprise digital transformation and carbon emissions. We further construct several robustness tests and show that the effect remains significant after accounting for the endogeneity issue using IV regressions. Heterogeneity analysis indicates that the effect of digital transformation on carbon emissions is influenced by the regional economic development level and the ownership structure of enterprises. Notably, in non-state-owned enterprises and economically advanced regions, the influence of digital transformation on carbon emissions becomes more pronounced. This paper provides explicit policy implications. It is suggested that enterprises accelerate their digital transformation by integrating smart device development into their production and operations and government should give support to digital transformation to facilitate industrial upgrading, and further promote China's pursuit of high-quality and sustainable economic development.
在中国数字经济快速发展的背景下,从企业数字化的角度探索碳减排的潜力,对于实现 "碳峰值 "和 "碳中和 "的宏伟目标具有重要的现实意义。本文以 A 股上市公司数据为样本库,时间跨度为 2014-2020 年,发现企业数字化转型与碳排放之间存在非线性的倒 U 型关系。我们进一步构建了几个稳健性检验,结果表明,在使用 IV 回归考虑内生性问题后,该效应仍然显著。异质性分析表明,数字化转型对碳排放的影响受地区经济发展水平和企业所有制结构的影响。值得注意的是,在非国有企业和经济发达地区,数字化转型对碳排放的影响更加明显。本文提出了明确的政策含义。建议企业加快数字化转型,将智能设备开发融入生产经营中;政府应支持数字化转型,促进产业升级,进一步推动中国经济追求高质量和可持续发展。