How Can We Improve the ESG Performance of Manufacturing Enterprises?-The Carbon Resilience Perspective

被引:0
|
作者
Han, Dongheng [1 ]
Li, Zhihui [2 ]
Cui, Xun [1 ]
Liang, Lin [2 ]
机构
[1] Nankai Univ, Business Sch, Tianjin 300072, Peoples R China
[2] Hebei Univ Technol, Sch Econ & Management, Tianjin 300130, Peoples R China
关键词
manufacturing enterprises; ESG performance; carbon resilience; institutional pressures; organizational resilience; low-carbon transformation; ORGANIZATIONAL RESILIENCE; INSTITUTIONAL PRESSURES; DYNAMIC CAPABILITIES; CORPORATE GOVERNANCE; MANAGEMENT; OWNERSHIP; CONTEXT; MODEL; BACK;
D O I
10.3390/su17062350
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
In the context of low-carbon transformation, manufacturing enterprises are facing great pressures, and they need to improve their capability in order to successfully respond to these changes and achieve sustainable development. Based on the concept of organizational resilience, this paper proposed the concept of carbon resilience, representing the ability of an organization to keep stable, adapt, and evolve in the context of low-carbon transformation and tried to explore the role of carbon resilience in enterprises' environment, social, and governance performance (ESG performance) and the conditional roles of coercive pressure, normative pressure, and the mimetic pressure between companies. Empirical research selected the data of Chinese A-share-listed manufacturing companies between 2012 and 2021 as research samples. Using the regression analysis method, the theoretical model was verified. The results show that carbon resilience can promote ESG performance. Moreover, coercive pressure and normative pressure promote the relationship between carbon resilience and ESG performance, whereas mimetic pressure inhibits the relationship. This study provides managerial implications for the government, society, and manufacturing enterprises, especially laying out a realistic approach to improving ESG performance from the perspective of carbon resilience.
引用
收藏
页数:26
相关论文
共 50 条
  • [21] Resilience of Process Plant: What, Why, and How Resilience Can Improve Safety and Sustainability
    Pasman, Hans
    Kottawar, Kedar
    Jain, Prerna
    SUSTAINABILITY, 2020, 12 (15)
  • [22] How Does Intelligent Manufacturing Affect the ESG Performance of Manufacturing Firms? Evidence from China
    Sun, Lipeng
    Saat, Nur Ashikin Mohd
    SUSTAINABILITY, 2023, 15 (04)
  • [23] ESG performance and innovation in listed manufacturing companies-A prospect theory perspective
    Lei, Xiao
    Tu, Qin
    FINANCE RESEARCH LETTERS, 2025, 72
  • [24] Impact of ESG ratings on carbon emission reduction performance in context of green development-evidence from Chinese manufacturing listed enterprises
    Yang, Fangyi
    Guo, Jitao
    Kong, Xiangxin
    Wang, Chuyi
    Wang, Zhonghe
    BUSINESS PROCESS MANAGEMENT JOURNAL, 2024,
  • [25] ESG Performance and Corporate Resilience: An Empirical Analysis Based on the Capital Allocation Efficiency Perspective
    Wang, Kedan
    Yu, Shanshan
    Mei, Mei
    Yang, Xiao
    Peng, Geng
    Lv, Benfu
    SUSTAINABILITY, 2023, 15 (23)
  • [26] How do public owners' dynamic capabilities improve project resilience in megaprojects: a configurational perspective
    Tian, Zidan
    Wang, Ting
    Jiang, Kaiwen
    He, Qinghua
    Xue, Yutong
    Chen, Xiaoyan
    ENGINEERING CONSTRUCTION AND ARCHITECTURAL MANAGEMENT, 2025,
  • [27] Can customer ESG performance improve corporate carbon emission productivity? --An empirical study from listed companies in China
    Mei, Jie
    GLOBAL NEST JOURNAL, 2024, 26 (06):
  • [28] How Can We Improve the Use of Established Therapies in PsA?
    Nash, Peter
    JOURNAL OF RHEUMATOLOGY, 2020, 47 (08) : 1153 - 1154
  • [29] How Capability Reconfiguration in Coping With External Dynamism Can Shape the Performance of the Vietnamese Enterprises
    Huy-Cuong Vo-Thai
    Lo, Shihmin
    My-Linh Tran
    SAGE OPEN, 2021, 11 (03):
  • [30] How to improve the performance of carbon tax in China?
    Zhang, Zhe
    Zhang, Aizhen
    Wang, Daoping
    Li, Aijun
    Song, Huixuan
    JOURNAL OF CLEANER PRODUCTION, 2017, 142 : 2060 - 2072