Trade networks and corporate ESG performance: Evidence from Chinese resource-based enterprises

被引:4
|
作者
Zhang, Yijun [1 ,2 ]
Wang, Jiale [1 ]
Song, Yi [1 ]
机构
[1] China Univ Geosci Wuhan, Sch Econ & Management, Wuhan 430078, Hubei, Peoples R China
[2] China Univ Geosci Wuhan, Green Finance & Resource & Environm Innovat Res Ba, Wuhan 430078, Hubei, Peoples R China
基金
中国博士后科学基金; 中国国家自然科学基金;
关键词
Trade networks; Centrality; ESG; Resource-based enterprises; INTERNAL CONTROL; DETERMINANTS;
D O I
10.1016/j.jenvman.2024.122079
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Trade network connects enterprises together, while its impact on corporate ESG performance is unknown. Drawing on unbalanced panel data of resource-based enterprises in China from 2009 to 2021, this study decomposes the trade network into purchasing network and sales network based on trade directions, and explores their impact on corporate ESG performance and the mechanisms involved. The findings indicate that: (1) The trade networks exhibit a negative correlation with corporate ESG performance. Meanwhile, purchasing network demonstrates a more pronounced adverse impact on corporate ESG than sales network. After a series of endogeneity tests, the above results still hold. (2) Heterogeneity analysis shows that trade networks have a more significant effect on the ESG performance of state-owned enterprises, mature enterprises and heavily polluting enterprises. And the most pronounced negative effect is observed in the governance (G) component of ESG. (3) Mechanism analysis reveals that trade networks negatively influence corporate ESG performance by impeding the progress of green innovation and internal control. (4) Accelerating digital transformation and intensifying government environmental regulations can mitigate the inhibitory impact of trade networks on corporate ESG performance. This study provides theoretical support and empirical evidence for resource-based enterprises to enhance ESG performance while reinforcing trade linkages.
引用
收藏
页数:15
相关论文
共 50 条
  • [21] The impact of digital transformation and earnings management on ESG performance: evidence from Chinese listed enterprises
    Lang Wang
    Sheng Hou
    Scientific Reports, 14
  • [22] The impact of digital transformation and earnings management on ESG performance: evidence from Chinese listed enterprises
    Wang, Lang
    Hou, Sheng
    SCIENTIFIC REPORTS, 2024, 14 (01)
  • [23] ESG performance and corporate fraudulence: Evidence from China
    Su, Fei
    Guan, Mengyao
    Liu, Yujie
    Liu, Jia
    INTERNATIONAL REVIEW OF FINANCIAL ANALYSIS, 2024, 93
  • [24] THE ROLE OF CORPORATE CULTURE IN THE PROCESS OF STRATEGIC HUMAN RESOURCE MANAGEMENT: EVIDENCE FROM CHINESE ENTERPRISES
    Wei, Li-Qun
    Liu, Jun
    Zhang, Yichi
    Chiu, Randy K.
    HUMAN RESOURCE MANAGEMENT, 2008, 47 (04) : 777 - 794
  • [25] Top management team resource-based faultline and corporate green innovation: empirical evidence from listed Chinese manufacturing companies
    Lv, Jingxin
    Wang, Shiquan
    EUROPEAN JOURNAL OF INNOVATION MANAGEMENT, 2024,
  • [26] Analysis on Political Risk of Chinese Resource-Based Enterprises' Foreign Direct Investment
    Song, Ting
    INTERNATIONAL SYMPOSIUM MODERN EDUCATION AND HUMAN SCIENCES (MEHS 2014), 2014, : 251 - 257
  • [27] The Impact of Green Bond Issuance on Corporate ESG Performance: Evidence from Chinese Listed Companies
    Xiang, Nixu
    Xu, Haixin
    Zhang, Xi
    Yang, Cancan
    EIGHTEENTH INTERNATIONAL CONFERENCE ON MANAGEMENT SCIENCE AND ENGINEERING MANAGEMENT, ICMSEM 2024, 2024, 215 : 960 - 973
  • [28] Big Data Infrastructure and Corporate ESG Performance: Evidence from Listed Chinese Manufacturing Companies
    Wang, Minjuan
    Zhang, Dingsheng
    SUSTAINABILITY, 2024, 16 (12)
  • [29] Corporate Financialization, ESG Performance and Sustainability Development: Evidence from Chinese-Listed Companies
    Yang, Fang
    Li, Xu
    SUSTAINABILITY, 2023, 15 (04)
  • [30] Can executive incentives improve corporate ESG performance? Evidence from Chinese listed companies
    Ma, Deshui
    Wang, Guohua
    Akbar, Ahsan
    Usman, Muhammad
    Sokolova, Marcela
    E & M EKONOMIE A MANAGEMENT, 2024, 27 (04): : 135 - 150