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Corporate Financial Growth and ESG Behavior: Evidence from ESG Strategy, Comprehensiveness and ESG Report Quality

In: Proceedings of the 2024 6th International Conference on Economic Management and Model Engineering (ICEMME 2024)

Author

Listed:
  • Mei Sun

    (Chengdu University, School of Business)

  • Bingxue Gong

    (Chengdu University, School of Business)

  • Yongchao Sun

    (Shanghai Jiao Tong University, Electronic Information and Electrical Engineering
    Southwest Branch of State Grid Corporation of China)

Abstract

Conventional evaluation methods for ESG investment can effectively avoid risks and meet regulatory requirements. However, in recent years, questions regarding the investment-return rate of ESG investment have emerged with the rapid growth of Chinas ESG investments. It reviews the major changes and shifts in academic insights and business practices of CSR, as well as the developmental trend of Global ESG investment strategy. The article proposes three hypotheses and have them tested with regression analysis. The results show that the governance of corporate social responsibility and the ratio of return on total assets are positively correlated in both short and long run. The comprehensiveness of corporate social responsibility, the quality of CSR report and the ratio of return on total assets are not significantly correlated. Therefore, the governance of corporate social responsibility arguably the most stable and effective observational index for ESG investors to discover targets of growth. And the corporate needs to carry out its social responsibility strategically by focusing on its CSR strategies, governance, ESG risk prevention and containment, and communication with stakeholders. Lastly, the article also provides constructive advice for the improvement of ESG investment evaluation method.

Suggested Citation

  • Mei Sun & Bingxue Gong & Yongchao Sun, 2025. "Corporate Financial Growth and ESG Behavior: Evidence from ESG Strategy, Comprehensiveness and ESG Report Quality," Advances in Economics, Business and Management Research, in: Lina Zhong & Tang Yao & Chee Yoong Liew & Hongbo Li (ed.), Proceedings of the 2024 6th International Conference on Economic Management and Model Engineering (ICEMME 2024), pages 200-213, Springer.
    • Handle: RePEc:spr:advbcp:978-94-6463-690-1_20
    DOI: 10.2991/978-94-6463-690-1_20
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