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Investigating the Influence of Green Credit on Operational Efficiency and Financial Performance Based on Hybrid Econometric Models

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  • Changqing Luo

    (Finance School, Hunan University of Commerce, Changsha 410205, China)

  • Siyuan Fan

    (Finance School, Hunan University of Commerce, Changsha 410205, China)

  • Qi Zhang

    (Finance School, Hunan University of Commerce, Changsha 410205, China)

Abstract

To understand the role of green credit in maintaining economic sustainability, we develop theoretical hypotheses including expectation, supervision and capital allocation channels to explain the impacts of green credit. Then, we use hybrid econometric models by using Chinese-listed enterprises in the energy-saving and environmental sectors from 2007 to 2015 as the research sample to verify the above hypotheses. The empirical results show that: (1) the average value of financial performance and operational efficiency is relatively low, and the endogenous abilities of those enterprises have not yet been established; (2) the issuance of green loans does not improve public expectations of enterprises in the green industry, thus the expectation channel is not supported; (3) the issuance of green loans does not necessarily improve the enterprise’s operational efficiency and financial performance, thus the supervision channel hypotheses are not supported; and (4) green loans lead to an increase in financing costs, management costs, operation costs, and expenditure on R&D, thus, the capital allocation hypothesis is partly supported. Based on the empirical analysis, we also provide some countermeasures to strengthen the roles of green credit to support the development of energy-saving and environmental enterprises.

Suggested Citation

  • Changqing Luo & Siyuan Fan & Qi Zhang, 2017. "Investigating the Influence of Green Credit on Operational Efficiency and Financial Performance Based on Hybrid Econometric Models," IJFS, MDPI, vol. 5(4), pages 1-19, November.
    • Handle: RePEc:gam:jijfss:v:5:y:2017:i:4:p:27-:d:118299
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    Cited by:

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    4. Mihaela Brindusa Tudose & Valentina Diana Rusu & Silvia Avasilcai, 2021. "Performance Management for Growth: A Framework Based on EVA," JRFM, MDPI, vol. 14(3), pages 1-19, March.
    5. Luo, Sumei & Yu, Shenghui & Zhou, Guangyou, 2021. "Does green credit improve the core competence of commercial banks? Based on quasi-natural experiments in China," Energy Economics, Elsevier, vol. 100(C).
    6. Chenhui Hu & Haining Jiang, 2021. "Causal Nexus between Sci-Tech Talent and Economic Growth in the Pan-Yangtze River Delta of China," Sustainability, MDPI, vol. 13(12), pages 1-18, June.
    7. Yanwei Lyu & Yangyang Bai & Jinning Zhang, 2024. "Green finance policy and enterprise green development: Evidence from China," Corporate Social Responsibility and Environmental Management, John Wiley & Sons, vol. 31(1), pages 414-432, January.
    8. O. Miroshnichenko S. & N. Mostovaya A. & О. Мирошниченко С. & Н. Мостовая А., 2019. "«Зеленый» кредит как инструмент «зеленого» финансирования // Green Loan as a Tool for Green Financing," Финансы: теория и практика/Finance: Theory and Practice // Finance: Theory and Practice, ФГОБУВО Финансовый университет при Правительстве Российской Федерации // Financial University under The Government of Russian Federation, vol. 23(2), pages 31-43.
    9. Hengjie Xu & Qiang Mei & Fakhar Shahzad & Suxia Liu & Xingle Long & Jingjing Zhang, 2020. "Untangling the Impact of Green Finance on the Enterprise Green Performance: A Meta-Analytic Approach," Sustainability, MDPI, vol. 12(21), pages 1-16, October.

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