Research on the impact of the ESG rating divergence of manufacturing firms on carbon emission intensity

分歧(语言学) 发射强度 碳纤维 强度(物理) 业务 材料科学 计算机科学 算法 物理 语言学 光电子学 量子力学 光致发光 复合数 哲学
作者
Jianliang Deng,Wenhe Lin,Jian Huang,Yunying Cai,Wenbao Wang
出处
期刊:PLOS ONE [Public Library of Science]
卷期号:20 (6): e0323929-e0323929
标识
DOI:10.1371/journal.pone.0323929
摘要

The task of reducing carbon emission intensity is difficult for manufacturing firms in China under the national goal of “carbon peaking and carbon neutrality”. Numerous studies have confirmed the inhibitory impact of ESG performance on carbon emission intensity; nevertheless, the significance of ESG rating divergence as a derivative of ESG ratings has been neglected. Therefore, this study selects Chinese A-share listed manufacturing firms from 2011–2022 as a research sample and empirically examines the impact of ESG rating divergence on the carbon emission intensity of Chinese manufacturing firms via a higher-order fixed effects model. The study revealed that (1) ESG rating divergence creates disincentives for manufacturing firms to increase carbon emission intensity; (2) ESG rating divergence leads to an increase in corporate carbon emissions by inhibiting incentives for green innovation; and (3) mitigating financial constraints and enhancing digital transformation in enterprises diminishes the impact of ESG rating divergence on the carbon emissions of manufacturing firms. Furthermore, enterprise digital transformation can exert a moderating influence on both the initial and subsequent stages of the “ESG performance green innovation carbon emission intensity” pathway, predominantly in the initial phase. (4) The impact of ESG rating divergence on carbon emission intensity varies depending on the ownership, industry, geography, and level of competitiveness of manufacturing enterprises. The findings not only provide empirical evidence on the feasibility of expanding the standardization of ESG ratings within China’s regulatory framework but also provide useful inspiration for Chinese firms to reduce their carbon emission intensity and achieve sustainable development.
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
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
Hello应助桃tao采纳,获得10
2秒前
马界泡泡发布了新的文献求助10
3秒前
共享精神应助Jane采纳,获得10
5秒前
5秒前
6秒前
危机的小蝴蝶完成签到,获得积分10
7秒前
我爱行楷完成签到,获得积分10
8秒前
活力的冬云完成签到,获得积分10
8秒前
8秒前
8秒前
梨花完成签到,获得积分10
10秒前
tdx493发布了新的文献求助10
10秒前
11秒前
11秒前
故里完成签到,获得积分10
12秒前
12秒前
12秒前
孙铭逊发布了新的文献求助10
13秒前
研友_08oR4Z发布了新的文献求助10
13秒前
kosmos完成签到,获得积分10
16秒前
Easlie完成签到,获得积分20
17秒前
17秒前
Levonpox发布了新的文献求助10
18秒前
脑洞疼应助Bismarck采纳,获得10
18秒前
19秒前
坚定白风发布了新的文献求助10
22秒前
22秒前
L1完成签到,获得积分10
23秒前
Lucas应助Tsin778采纳,获得10
24秒前
晚心发布了新的文献求助10
26秒前
镜哥完成签到,获得积分10
27秒前
28秒前
共享精神应助Easlie采纳,获得10
28秒前
缥缈白翠完成签到,获得积分10
29秒前
30秒前
31秒前
科研通AI6.4应助乱世才子采纳,获得10
31秒前
冰河完成签到 ,获得积分10
32秒前
32秒前
明明就完成签到 ,获得积分10
32秒前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
Burger's Medicinal Chemistry, Drug Discovery and Development, Volumes 1 - 8, 8 Volume Set, 8th Edition 1800
Cronologia da história de Macau 1600
Gabriel Fauré: A biographical study and a historical style analysis of his nine major chamber works for piano and strings 1170
Netter collection Volume 9 Part I upper digestive tract及Part III Liver Biliary Pancreas 3rd 2024 的超高清PDF,大小约几百兆,不是几十兆版本的 1050
Current concept for improving treatment of prostate cancer based on combination of LH-RH agonists with other agents 1000
Research Handbook on the Law of the Sea 1000
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 纳米技术 计算机科学 化学工程 生物化学 物理 复合材料 内科学 催化作用 物理化学 光电子学 细胞生物学 基因 电极 遗传学
热门帖子
关注 科研通微信公众号,转发送积分 6168061
求助须知:如何正确求助?哪些是违规求助? 7995558
关于积分的说明 16628349
捐赠科研通 5273312
什么是DOI,文献DOI怎么找? 2813362
邀请新用户注册赠送积分活动 1793129
关于科研通互助平台的介绍 1659175