Can artificial intelligence improve enterprise environmental performance: Evidence from China

中国 业务 工程类 环境资源管理 计算机科学 环境科学 地理 考古
作者
Junkai Wang,Andong Wang,Kaijie Luo,Yaoxiang Nie
出处
期刊:Journal of Environmental Management [Elsevier]
卷期号:370: 123079-123079 被引量:26
标识
DOI:10.1016/j.jenvman.2024.123079
摘要

Artificial intelligence needs to be embraced urgently by enterprises as a means to achieve green development and address the efficiency quagmire in the context of green, low-carbon and sustainable development. To estimate a corporation's pioneering progress in artificial intelligence, this paper outlines the use of web-crawling procedures to capture company related terms within yearly reports by exploring the approaches adapted to Artificial intelligence. Based on data from Chinese listed companies from 2010 to 2021, this paper empirically explores the impact and mechanism of artificial intelligence on corporate environmental performance. The results illustrate that firms' ecological performance can be greatly enhanced by the artificial intelligence with this idea remaining valid following various checks for determination strength. The results from mechanism-based assessment indicate that implementation of AI in businesses is useful for promoting green innovation process while mitigating financial risks that influences corporate environmental performance positively. The correlation between artificial intelligence and environmental performance is stronger concerning state ownership, heavily polluting, and stringent environmental regulation of firms according to heterogeneity analysis. The research shows the way that artificial intelligence affects ecosystems, alongside its mechanisms, fosters a new perspective upon artificial intelligence and environmental excellence.
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
更新
PDF的下载单位、IP信息已删除 (2025-6-4)

科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
归尘发布了新的文献求助10
刚刚
1秒前
香蕉觅云应助张文静采纳,获得10
1秒前
1秒前
1秒前
英俊的铭应助昏睡的冰双采纳,获得10
1秒前
orixero应助科研通管家采纳,获得10
2秒前
2秒前
大个应助科研通管家采纳,获得10
2秒前
乐乐应助科研通管家采纳,获得10
2秒前
星辰大海应助科研通管家采纳,获得10
2秒前
李爱国应助科研通管家采纳,获得10
2秒前
张益达应助科研通管家采纳,获得20
2秒前
彭于晏应助科研通管家采纳,获得10
2秒前
SciGPT应助科研通管家采纳,获得10
2秒前
酷波er应助科研通管家采纳,获得10
3秒前
星辰大海应助科研通管家采纳,获得10
3秒前
传奇3应助科研通管家采纳,获得10
3秒前
完美世界应助科研通管家采纳,获得10
3秒前
我是老大应助科研通管家采纳,获得10
3秒前
英姑应助科研通管家采纳,获得10
3秒前
科研通AI6应助科研通管家采纳,获得10
3秒前
CodeCraft应助科研通管家采纳,获得10
3秒前
8R60d8应助科研通管家采纳,获得20
3秒前
浮游应助科研通管家采纳,获得10
3秒前
zho应助科研通管家采纳,获得10
3秒前
bkagyin应助科研通管家采纳,获得10
3秒前
FashionBoy应助科研通管家采纳,获得10
4秒前
慕青应助科研通管家采纳,获得10
4秒前
嘟嘟嘟发布了新的文献求助10
4秒前
鸡蛋清abc发布了新的文献求助10
4秒前
充电宝应助科研通管家采纳,获得10
4秒前
4秒前
科研通AI6应助科研通管家采纳,获得10
4秒前
科研通AI6应助science采纳,获得10
4秒前
4秒前
Akim应助科研通管家采纳,获得10
4秒前
科研通AI6应助科研通管家采纳,获得10
4秒前
斯文败类应助科研通管家采纳,获得10
4秒前
斯文败类应助科研通管家采纳,获得10
4秒前
高分求助中
晶体学对称群—如何读懂和应用国际晶体学表 1500
Constitutional and Administrative Law 1000
Microbially Influenced Corrosion of Materials 500
Die Fliegen der Palaearktischen Region. Familie 64 g: Larvaevorinae (Tachininae). 1975 500
The Experimental Biology of Bryophytes 500
Numerical controlled progressive forming as dieless forming 400
Rural Geographies People, Place and the Countryside 400
热门求助领域 (近24小时)
化学 材料科学 医学 生物 工程类 有机化学 生物化学 物理 纳米技术 计算机科学 内科学 化学工程 复合材料 物理化学 基因 遗传学 催化作用 冶金 量子力学 光电子学
热门帖子
关注 科研通微信公众号,转发送积分 5382390
求助须知:如何正确求助?哪些是违规求助? 4505491
关于积分的说明 14022095
捐赠科研通 4414924
什么是DOI,文献DOI怎么找? 2425245
邀请新用户注册赠送积分活动 1418035
关于科研通互助平台的介绍 1396036