IDEAS home Printed from https://ideas.repec.org/a/gam/jmathe/v10y2022i9p1374-d797724.html
   My bibliography  Save this article

Is Promoting Green Finance in Line with the Long-Term Market Mechanism? The Perspective of Chinese Commercial Banks

Author

Listed:
  • Kai Zhang

    (School of Business, Ningbo University, Ningbo 315201, China)

  • Xinmiao Zhou

    (School of Business, Ningbo University, Ningbo 315201, China)

Abstract

Green finance is a sustainable force in promoting green development. China’s social financing structure determines the key role that green credit plays in sustainable development. Under the dual pressure of future economic downturn and huge capital gaps, it is worth exploring whether to continue promoting green credit that conforms to the long-term market mechanism. From the perspective of Chinese commercial banks, this paper analyzes whether promoting green credit is compatible with the incentives and their profit maximization goals. To this end, the research in this paper is based on the following three aspects: (1) Based on financial analysis, this paper reveals the different pricing of green industries in the capital market and credit market and explains the mechanism through which green credit policies improve the operating conditions of commercial banks; (2) combined with the conclusions from the literature and financial analysis, the influence of different index types on the modeling results is analyzed, and it is determined that the main reasons causing a decline in the return on assets are the excessive expansion of capital and the decline in internal resource-use efficiency; (3) a data envelopment model (more accurately, SBM-DDF) with undesirable outputs is established to dynamically analyze the operating efficiency of Chinese commercial banks, and the role of green credit in improving efficiency is studied. The main conclusions of this paper are as follows: if Chinese commercial banks increase their proportion of green credit, they can not only increase their profit scale but also improve and optimize the allocation of their internal resources, thus improving their operating efficiency. The main sample of this study comprises 43 commercial banks in China from 2007 to 2020.

Suggested Citation

  • Kai Zhang & Xinmiao Zhou, 2022. "Is Promoting Green Finance in Line with the Long-Term Market Mechanism? The Perspective of Chinese Commercial Banks," Mathematics, MDPI, vol. 10(9), pages 1-26, April.
  • Handle: RePEc:gam:jmathe:v:10:y:2022:i:9:p:1374-:d:797724
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2227-7390/10/9/1374/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/2227-7390/10/9/1374/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Wei, Shang-Jin & Boyreau-Debray, Genevieve, 2004. "Pitfalls of a State-Dominated Financial System: The Case of China," CEPR Discussion Papers 4471, C.E.P.R. Discussion Papers.
    2. James J. Heckman, 1976. "The Common Structure of Statistical Models of Truncation, Sample Selection and Limited Dependent Variables and a Simple Estimator for Such Models," NBER Chapters, in: Annals of Economic and Social Measurement, Volume 5, number 4, pages 475-492, National Bureau of Economic Research, Inc.
    3. Duffie, Darrell & Lando, David, 2001. "Term Structures of Credit Spreads with Incomplete Accounting Information," Econometrica, Econometric Society, vol. 69(3), pages 633-664, May.
    4. García-Herrero, Alicia & Gavilá, Sergio & Santabárbara, Daniel, 2009. "What explains the low profitability of Chinese banks?," Journal of Banking & Finance, Elsevier, vol. 33(11), pages 2080-2092, November.
    5. Charnes, A. & Cooper, W. W. & Rhodes, E., 1978. "Measuring the efficiency of decision making units," European Journal of Operational Research, Elsevier, vol. 2(6), pages 429-444, November.
    6. Sebouh Aintablian & Patricia A. Mcgraw & Gordon S. Roberts, 2007. "Bank Monitoring and Environmental Risk," Journal of Business Finance & Accounting, Wiley Blackwell, vol. 34(1‐2), pages 389-401, January.
    7. Sebouh Aintablian & Patricia A. Mcgraw & Gordon S. Roberts, 2007. "Bank Monitoring and Environmental Risk," Journal of Business Finance & Accounting, Wiley Blackwell, vol. 34(1-2), pages 389-401.
    8. Berger, Allen N. & Hasan, Iftekhar & Zhou, Mingming, 2009. "Bank ownership and efficiency in China: What will happen in the world's largest nation?," Journal of Banking & Finance, Elsevier, vol. 33(1), pages 113-130, January.
    9. El Ghoul, Sadok & Guedhami, Omrane & Kwok, Chuck C.Y. & Mishra, Dev R., 2011. "Does corporate social responsibility affect the cost of capital?," Journal of Banking & Finance, Elsevier, vol. 35(9), pages 2388-2406, September.
    10. Sherman, H. David & Gold, Franklin, 1985. "Bank branch operating efficiency : Evaluation with Data Envelopment Analysis," Journal of Banking & Finance, Elsevier, vol. 9(2), pages 297-315, June.
    11. Staub, Roberta B. & da Silva e Souza, Geraldo & Tabak, Benjamin M., 2010. "Evolution of bank efficiency in Brazil: A DEA approach," European Journal of Operational Research, Elsevier, vol. 202(1), pages 204-213, April.
    12. Chami, Ralph & Cosimano, Thomas F. & Fullenkamp, Connel, 2002. "Managing ethical risk: How investing in ethics adds value," Journal of Banking & Finance, Elsevier, vol. 26(9), pages 1697-1718, September.
    13. Robert G. Chambers, 2002. "Exact nonradial input, output, and productivity measurement," Economic Theory, Springer;Society for the Advancement of Economic Theory (SAET), vol. 20(4), pages 751-765.
    14. Goss, Allen & Roberts, Gordon S., 2011. "The impact of corporate social responsibility on the cost of bank loans," Journal of Banking & Finance, Elsevier, vol. 35(7), pages 1794-1810, July.
    15. Zhou, P. & Ang, B.W. & Wang, H., 2012. "Energy and CO2 emission performance in electricity generation: A non-radial directional distance function approach," European Journal of Operational Research, Elsevier, vol. 221(3), pages 625-635.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Jianfeng Guo & Kai Zhang & Kecheng Liu, 2022. "Exploring the Mechanism of the Impact of Green Finance and Digital Economy on China’s Green Total Factor Productivity," IJERPH, MDPI, vol. 19(23), pages 1-18, December.
    2. Xiaowei Ding & Ruxu Jing & Kaikun Wu & Maria V. Petrovskaya & Zhikun Li & Alina Steblyanskaya & Lyu Ye & Xiaotong Wang & Vasiliy M. Makarov, 2022. "The Impact Mechanism of Green Credit Policy on the Sustainability Performance of Heavily Polluting Enterprises—Based on the Perspectives of Technological Innovation Level and Credit Resource Allocatio," IJERPH, MDPI, vol. 19(21), pages 1-26, November.
    3. Min Li & Nan Zhu & Kai He & Minghui Li, 2022. "Operational Efficiency Evaluation of Chinese Internet Banks: Two-Stage Network DEA Approach," Sustainability, MDPI, vol. 14(21), pages 1-18, October.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Nandy, Monomita & Lodh, Suman, 2012. "Do banks value the eco-friendliness of firms in their corporate lending decision? Some empirical evidence," International Review of Financial Analysis, Elsevier, vol. 25(C), pages 83-93.
    2. Gu, Leilei & Peng, Yuchao & Vigne, Samuel A. & Wang, Yizhi, 2023. "Hidden costs of non-green performance? The impact of air pollution awareness on loan rates for Chinese firms," Journal of Economic Behavior & Organization, Elsevier, vol. 213(C), pages 233-250.
    3. Wanke, Peter & Maredza, Andrew & Gupta, Rangan, 2017. "Merger and acquisitions in South African banking: A network DEA model," Research in International Business and Finance, Elsevier, vol. 41(C), pages 362-376.
    4. Fonseka, Mohan & Rajapakse, Theja & Richardson, Grant, 2019. "The effect of environmental information disclosure and energy product type on the cost of debt: Evidence from energy firms in China," Pacific-Basin Finance Journal, Elsevier, vol. 54(C), pages 159-182.
    5. E. Nur Ozkan Gunay, 2012. "Risk Incorporation and Efficiency in Emerging Market Banks During the Global Crisis: Evidence from Turkey, 2002-2009," Emerging Markets Finance and Trade, Taylor & Francis Journals, vol. 48(S5), pages 91-102, November.
    6. Francisco Javier Sáez-Fernández & Andrés J. Picazo-Tadeo & Mercedes Beltrán-Esteve & Caroline Elliott, 2015. "Assessing the performance of the Latin American and Caribbean banking industry: Are domestic and foreign banks so different?," Cogent Economics & Finance, Taylor & Francis Journals, vol. 3(1), pages 1006976-100, December.
    7. Huichen Jiang & Yifan He, 2018. "Applying Data Envelopment Analysis in Measuring the Efficiency of Chinese Listed Banks in the Context of Macroprudential Framework," Mathematics, MDPI, vol. 6(10), pages 1-18, September.
    8. Ge, Yongbo & Zhu, Yuexiao, 2022. "Boosting green recovery: Green credit policy in heavily polluted industries and stock price crash risk," Resources Policy, Elsevier, vol. 79(C).
    9. Qian Wang & Jinbao Yang & Yung‐ho Chiu & Tai‐Yu Lin, 2020. "The impact of digital finance on financial efficiency," Managerial and Decision Economics, John Wiley & Sons, Ltd., vol. 41(7), pages 1225-1236, October.
    10. Kathleen Herbohn & Ru Gao & Peter Clarkson, 2019. "Evidence on Whether Banks Consider Carbon Risk in Their Lending Decisions," Journal of Business Ethics, Springer, vol. 158(1), pages 155-175, August.
    11. Qichang Ye & Zongling Xu & Dan Fang, 2012. "Market structure, performance, and efficiency of the Chinese banking sector," Economic Change and Restructuring, Springer, vol. 45(4), pages 337-358, November.
    12. Orhan Akisik & Graham Gal, 2014. "Financial performance and reviews of corporate social responsibility reports," Mathematical Methods of Operations Research, Springer;Gesellschaft für Operations Research (GOR);Nederlands Genootschap voor Besliskunde (NGB), vol. 25(3), pages 259-288, December.
    13. Silva, Thiago Christiano & Tabak, Benjamin Miranda & Cajueiro, Daniel Oliveira & Dias, Marina Villas Boas, 2018. "Adequacy of deterministic and parametric frontiers to analyze the efficiency of Indian commercial banks," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 506(C), pages 1016-1025.
    14. Coert Erasmus, 2014. "An Empirical Study of Bank Efficiency in South Africa Using the Standard and Alternative Approaches to Data Envelopment Analysis (DEA)," Journal of Economics and Behavioral Studies, AMH International, vol. 6(4), pages 310-317.
    15. Zhao, Tianjiao & Xiao, Xiang, 2019. "The impact of corporate social responsibility on financial constraints: Does the life cycle stage of a firm matter?," International Review of Economics & Finance, Elsevier, vol. 63(C), pages 76-93.
    16. Dan Li & Yanfeng Li & Yeming Gong & Jiawei Yang, 2021. "Estimation of bank performance from multiple perspectives: an alternative solution to the deposit dilemma," Journal of Productivity Analysis, Springer, vol. 56(2), pages 151-170, December.
    17. Md. Hashibul Hassan & Mahmudul Hassan, 2018. "Cost efficiency of banking sector of Bangladesh: evidence using the stochastic frontier analysis," Asian Journal of Empirical Research, Asian Economic and Social Society, vol. 8(6), pages 208-224, June.
    18. Hong Zhou & Guoping Li & Wanfa Lin, 2016. "Corporate Social Responsibility and Credit Spreads: An Empirical Study in Chinese Context," Annals of Economics and Finance, Society for AEF, vol. 17(1), pages 79-103, May.
    19. Nguyen, Justin Hung & Shi, Jing, 2021. "Are banks really special? Evidence from a natural experiment," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 72(C).
    20. Jorge Antunes & Abdollah Hadi-Vencheh & Ali Jamshidi & Yong Tan & Peter Wanke, 2022. "Bank efficiency estimation in China: DEA-RENNA approach," Annals of Operations Research, Springer, vol. 315(2), pages 1373-1398, August.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jmathe:v:10:y:2022:i:9:p:1374-:d:797724. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.