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Do Green Bonds Help to Improve Enterprises’ Financing Efficiency? Empirical Evidence Based on Chinese A-Share Listed Enterprises

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  • Ruxing Lin

    (School of Urban and Regional Sciences, Shanghai University of Finance and Economics, Shanghai 200433, China
    Faculty of Economics, The University of Sheffield, Sheffield S10 2TN, UK)

  • Guangcheng Ma

    (School of Urban and Regional Sciences, Shanghai University of Finance and Economics, Shanghai 200433, China)

  • Jianhua Cao

    (School of Urban and Regional Sciences, Shanghai University of Finance and Economics, Shanghai 200433, China
    Institute of Finance and Economics, Shanghai University of Finance and Economics, Shanghai 200433, China)

Abstract

This study investigates the relationship between green bonds and enterprises’ financing efficiency. A three-stage data envelopment analysis (DEA) model and a fixed effects model are used to achieve the research objectives. This paper analyzes the dual dimensions of theoretical analysis and empirical investigation. By fully considering the sub-stages of the financing process, it introduces green bonds into the analytical framework of financing efficiency issues. This paper uses data from China’s A-share listed enterprises from 2000 to 2022, uses a three-stage DEA model to measure the efficiency of each sub-stage of enterprises’ financing, and uses a fixed effects model for empirical testing. The study found that issuing green bonds can significantly improve the financing efficiency of enterprises, especially in the total and repayment stages. Furthermore, this paper uses the intermediary effect model to discuss the inherent mechanism of green bonds affecting financing efficiency. Green bonds promote the financing efficiency of enterprises and promote green transformation by affecting investor recognition and financing costs. However, the impact of green bonds is not obvious during the fund use stage and may be related to transparency and accountability mechanisms. This result indicates that expanding investor recognition, financing costs, and green transformation through green bonds is crucial to successfully promoting financing efficiency. The moderation effect model shows that the effect of green bonds issued by state-owned enterprises and highly polluting enterprises is more significant. This study highlights that green bonds positively impact financing efficiency and help promote sustainable economic development. This study also has policy implications for stakeholders.

Suggested Citation

  • Ruxing Lin & Guangcheng Ma & Jianhua Cao, 2024. "Do Green Bonds Help to Improve Enterprises’ Financing Efficiency? Empirical Evidence Based on Chinese A-Share Listed Enterprises," Sustainability, MDPI, vol. 16(17), pages 1-20, August.
    • Handle: RePEc:gam:jsusta:v:16:y:2024:i:17:p:7472-:d:1466750
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    1. Lee, Chien-Chiang & He, Zhi-Wen & Yuan, Zihao, 2023. "A pathway to sustainable development: Digitization and green productivity," Energy Economics, Elsevier, vol. 124(C).
    2. Martiradonna, Monica & Romagnoli, Silvia & Santini, Amia, 2023. "The beneficial role of green bonds as a new strategic asset class: Dynamic dependencies, allocation and diversification before and during the pandemic era," Energy Economics, Elsevier, vol. 120(C).
    3. Serena Fatica & Roberto Panzica, 2021. "Green bonds as a tool against climate change?," Business Strategy and the Environment, Wiley Blackwell, vol. 30(5), pages 2688-2701, July.
    4. Kamel Si Mohammed & Vanessa Serret & Christian Urom, 2024. "The Effect of Green Bonds on Climate Risk Amid Economic and Environmental policy uncertainties," Post-Print hal-04444957, HAL.
    5. Zhao, Linhai & Chau, Ka Yin & Tran, Trung Kien & Sadiq, Muhammad & Xuyen, Nguyen Thi My & Phan, Thi Thu Hien, 2022. "Enhancing green economic recovery through green bonds financing and energy efficiency investments," Economic Analysis and Policy, Elsevier, vol. 76(C), pages 488-501.
    6. Muhammad Alamgir & Ming-Chang Cheng, 2023. "Do Green Bonds Play a Role in Achieving Sustainability?," Sustainability, MDPI, vol. 15(13), pages 1-27, June.
    7. Bel, Germà & Joseph, Stephan, 2015. "Emission abatement: Untangling the impacts of the EU ETS and the economic crisis," Energy Economics, Elsevier, vol. 49(C), pages 531-539.
    8. H. Fried & C. Lovell & S. Schmidt & S. Yaisawarng, 2002. "Accounting for Environmental Effects and Statistical Noise in Data Envelopment Analysis," Journal of Productivity Analysis, Springer, vol. 17(1), pages 157-174, January.
    9. Mascia Bedendo & Giacomo Nocera & Linus Siming, 2023. "Greening the Financial Sector: Evidence from Bank Green Bonds," Journal of Business Ethics, Springer, vol. 188(2), pages 259-279, November.
    10. Criscuolo, Chiara & Menon, Carlo, 2015. "Environmental policies and risk finance in the green sector: Cross-country evidence," Energy Policy, Elsevier, vol. 83(C), pages 38-56.
    11. Graham, John R. & Harvey, Campbell R., 2001. "The theory and practice of corporate finance: evidence from the field," Journal of Financial Economics, Elsevier, vol. 60(2-3), pages 187-243, May.
    12. Mohammed, Kamel Si & Serret, Vanessa & Urom, Christian, 2024. "The effect of green bonds on climate risk amid economic and environmental policy uncertainties," Finance Research Letters, Elsevier, vol. 62(PA).
    13. Kaustia, Markku & Rantala, Ville, 2015. "Social learning and corporate peer effects," Journal of Financial Economics, Elsevier, vol. 117(3), pages 653-669.
    14. Kaffash, Sepideh & Azizi, Roza & Huang, Ying & Zhu, Joe, 2020. "A survey of data envelopment analysis applications in the insurance industry 1993–2018," European Journal of Operational Research, Elsevier, vol. 284(3), pages 801-813.
    15. Giovanni Ferri & Li-Gang Liu, 2010. "Honor Thy Creditors Beforan Thy Shareholders: Are the Profits of Chinese State-Owned Enterprises Real?," Asian Economic Papers, MIT Press, vol. 9(3), pages 50-71, Fall.
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