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金融研究  2024, Vol. 529 Issue (7): 77-95    
  本期目录 | 过刊浏览 | 高级检索 |
“双碳”目标下碳减排支持工具对商业银行市场价值的影响研究
巩冰, 张蓓, 杨斯尧, 徐照宜
中国社会科学院大学国际政治经济学院,北京 02488;
中国人民银行研究局,北京 100033;
清华大学五道口金融学院,北京 100083;
清华大学经济管理学院,北京 100084
The Impact of Carbon Reduction Support Tools on the Market Value of Commercial Banks under the “Dual Carbon” Goals
GONG Bing, ZHANG Bei, YANG Siyao, XU Zhaoyi
School of International Political Economy, University of Chinese Academy of Social Sciences;
Research Bureau of the People's Bank of China;
PBC School of Finance, Tsinghua University; School of Economics and Management, Tsinghua University
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摘要 本文将手工收集的全国各银行碳减排贷款数据与市场价值和经营管理数据进行匹配和实证分析发现:(1)商业银行参与碳减排支持工具,扩大碳减排贷款规模,可有效提升银行市场价值。(2)信号传递效应、市场声誉效应以及风险治理效应是碳减排支持工具提升银行市场价值的重要渠道。(3)银行增加清洁能源和节能环保领域的碳减排贷款,可显著提升银行市场价值,但碳减排技术领域贷款对银行市场价值的提升效果不显著。(4)银行增加普通绿色贷款规模对提升市场价值的影响不显著,但碳减排贷款占绿色贷款比例越高,越能提升银行市场价值。本文的研究表明,通过货币政策精细化设计与创新,可有效引导银行资本流向更为环保和可持续的项目,实现金融机构和绿色实体经济的共赢。
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巩冰
张蓓
杨斯尧
徐照宜
关键词:  “双碳”目标  碳减排支持工具  商业银行  市场价值  货币政策    
Summary:  In November 2021, the People's Bank of China introduced the Carbon Reduction Support Tool (CRST) policy, providing refinancing support for the principal of carbon reduction loans issued by commercial banks that meet the criteria. As a kind of innovation in structural policy tools, the CRST links central bank funds with financial institutions' lending to carbon reduction projects, creating a unique advantage in precisely targeting the green real economy. While leveraging the basic role of market resource allocation, it has achieved the policy goal of directing funds towards green and low-carbon development projects. However, it is an important proposition to verify whether commercial banks, as the main carriers of this structural monetary policy, can obtain sufficient incentives and compensation through participation in the CRST to offset the higher credit risks of green loans and mitigate the impact on operational performance due to green lending.
This paper, based on manually collected data on whether 42 listed commercial banks have issued carbon reduction loan disclosure announcements, comprehensively organizes data on the amount of carbon reduction loans issued, the number of loan projects, the fields of loans, and the carbon reduction achieved. Innovatively, this paper matches commercial bank carbon reduction loan data with market value and operational management data of listed commercial banks for empirical analysis. The study finds that commercial banks' participation in the CRST and the expansion of carbon reduction loan portfolios can effectively enhance bank market values. Key mechanisms include signal transmission effects, market reputation effects, and risk governance effects. Carbon reduction loans in clean energy and environmental protection sectors significantly have boosted market value, whereas the impact of carbon reduction technology loans is not yet clear. Additionally, the higher the proportion of carbon reduction loans in green lending, the more significant the enhancement in bank market value.
The potential innovations of this paper are mainly reflected in the following aspects: Firstly, by comprehensively collecting and organizing data on carbon reduction loans issued by banks, this paper systematically explores the impact of commercial banks' participation in the CRST on their market value, providing a data foundation and empirical evidence for analyzing and revealing the policy participation, loan scale, and loan fields of commercial banks. This is of both theoretical and practical significance for assessing the effectiveness of structural monetary policy innovations in green systems. Secondly, the findings suggest that enhancing stock liquidity, optimizing market reputation, increasing central bank borrowing, improving capital adequacy ratios, and reducing stock price crash risks are significant channels to enhance bank market values. These findings not only offer specific strategic recommendations for banks to enhance market values through green financial activities but also provide crucial market insights for banks and financial institutions to exert the value-enhancing effects of green finance in formulating future business strategies and investment decisions. Thirdly, through the heterogeneity analysis in the field of carbon reduction and the comparative analysis of green loans, this paper reveals significant differences in the impact of different types of green financial activities on the market value of commercial banks, providing practical evidence for regulatory bodies and policymakers to further refine and optimize structured monetary policies.
The research conclusions of this paper have the following policy implications: Firstly, although commercial banks' issuance of carbon reduction loans can significantly enhance their market value, issuing ordinary green loans does not have the same effect. This indicates that due to the higher risks, longer cycles, greater uncertainties, and the shortage of specialized personnel affecting green finance at this stage, the development and promotion of green finance at this stage still face significant challenges. Therefore, to further promote the development of green finance, regulatory bodies should adopt diversified strategies, extending the support policies and successful experiences of carbon reduction loans to more areas of green finance. Secondly, in today's highly developed information technology society, to promote the development of green finance, banks should focus on the disclosure of information on green finance practices, regularly publish green finance reports with detailed progress, results, and challenges of their green credit projects, and actively communicate with the public, clients, and investors through various channels, including social media, official websites, and industry conferences, to increase transparency. This not only helps establish a positive image of banks in the field of green finance but also promotes the overall development and maturity of the green finance market. Thirdly, to achieve long-term environmental protection goals, particularly in reducing carbon emissions and addressing climate change, regulatory bodies and banks must work together to enhance research and support for carbon reduction technology loans. Banks and regulatory bodies should consider setting up special green finance funds or credit products to provide financial support for the research and commercialization of carbon reduction technologies. Additionally, by enacting preferential policies and fiscal and tax incentives, the costs and risks for enterprises adopting carbon reduction technologies can be reduced, ultimately promoting the early realization of the national “Dual Carbon” strategy and sustainable development goals through financial supply-side reforms.
Keywords:  “Dual Carbon” Goals    Carbon Reduction Support Tools    Commercial Banks    Market Value    Monetary Policy
JEL分类号:  E52   G34   G21  
基金资助: *本文感谢国家自然科学基金应急管理项目(72241403)、中国博士后科学基金面上项目(2023M742021)、清华大学文科建设“双高”计划项目(2022TSG08102)的资助。感谢匿名审稿人的宝贵意见,文责自负。
通讯作者:  徐照宜,经济学博士,博士后,清华大学经济管理学院,E-mail: xuzy@sem. tsinghua.edu.cn.   
作者简介:  巩 冰,经济学博士,讲师,中国社会科学院大学国际政治经济学院,E-mail: nvpaiyang@163.com.张 蓓,经济学博士,高级经济师,中国人民银行研究局,E-mail: zbei@pbc.gov.cn.杨斯尧,经济学博士,博士后,清华大学五道口金融学院,E-mail: yangsiyao@pbcsf.tsinghua. edu.cn.
引用本文:    
巩冰, 张蓓, 杨斯尧, 徐照宜. “双碳”目标下碳减排支持工具对商业银行市场价值的影响研究[J]. 金融研究, 2024, 529(7): 77-95.
GONG Bing, ZHANG Bei, YANG Siyao, XU Zhaoyi. The Impact of Carbon Reduction Support Tools on the Market Value of Commercial Banks under the “Dual Carbon” Goals. Journal of Financial Research, 2024, 529(7): 77-95.
链接本文:  
http://www.jryj.org.cn/CN/  或          http://www.jryj.org.cn/CN/Y2024/V529/I7/77
[1]成程、杨胜刚和田轩,2024,《金融科技赋能下供应链金融对企业价值的影响》,《管理科学学报》第2期,第95~119页。
[2]崔惠玉、王宝珠和徐颖,2023,《绿色金融创新、金融资源配置与企业污染减排》,《中国工业经济》第10期,第118~136页。
[3]丁慧、吕长江和陈运佳,2018,《投资者信息能力:意见分歧与股价崩盘风险——来自社交媒体“上证e互动”的证据》,《管理世界》第9期,第161~171页。
[4]方意和刘江龙,2023,《银行关联性与系统性金融风险:传染还是分担?》,《金融研究》第6期,第57~74页。
[5]郭俊杰和方颖,2023,《绿色信贷政策、信贷歧视与企业债务融资》,《经济学(季刊)》第6期,第2231~2246页。
[6]江轩宇、朱琳和伊志宏,2021,《网络舆论关注与企业创新》,《经济学(季刊)》第1期,第113~134页。
[7]李善民和杨若明,2022,《融资约束下的并购:代理问题、谨慎投资还是传递信号?》,《管理评论》第1期,第3~16页。
[8]彭俞超和马思超,2022,《非银行金融科技与上市公司借贷成本——竞争压力还是信息溢出?》,《金融研究》第12期,第93~111页。
[9]宋科、徐蕾、李振和王芳,2022,《ESG投资能够促进银行创造流动性吗?——兼论经济政策不确定性的调节效应》,《金融研究》第2期,第61~79页。
[10]文书洋、刘浩和王慧,2022,《绿色金融、绿色创新与经济高质量发展》,《金融研究》第8期,第1~17页。
[11]文书洋、张琳和刘锡良,2021,《我们为什么需要绿色金融?——从全球经验事实到基于经济增长框架的理论解释》,《金融研究》第12期,第20~37页。
[12]吴非、胡慧芷、林慧妍和任晓怡,2021,《企业数字化转型与资本市场表现——来自股票流动性的经验证据》,《管理世界》第7期,第130-144+10页。
[13]赵静和郭晔,2021,《存款保险制度、影子银行与银行系统性风险》,《管理科学学报》第6期,第22~41页。
[14]中国人民银行货币政策司课题组,2024,《结构性货币政策助力做好“五篇大文章”》,《中国金融》第2期,第25~27页。
[15]Adhikari, A. and H. Zhou. 2022. “Voluntary Disclosure and Information Asymmetry: Do Investors in US Capital Markets Care about Carbon Emission?,” Sustainability Accounting, Management and Policy Journal, 13(1): pp.195~220.
[16]Aldieri, L., F. Carlucci, A. Cirà, G. Ioppolo and C.P. Vinci. 2019. “Is Green Innovation an Opportunity or a Threat to Employment? An Empirical Analysis of Three Main Industrialized Areas: The USA, Japan and Europe,” Journal of Cleaner Production, 214: pp.758~766.
[17]Amihud, Y. and H. Mendelson. 1986. “Liquidity and stock returns,” Financial Analysts Journal, 42(3), pp. 43~48.
[18]App, S., J. Merk and M. Büttgen. 2012. “Employer Branding: Sustainable HRM as a Competitive Advantage in the Market for High-Quality Employees,” Management Revue, pp.262~278.
[19]Bertrand, M. and S. Mullainathan. 2003. “Enjoying the Quiet Life? Corporate Governance and Managerial Preferences,” Journal of Political Economy, 111(5): pp.1043~1075.
[20]Evans,M.,Hodder,L.,and P.Hopkins.2013.“The Predictive Ability of Fair Values for Future Financial Performance of Commercial Banks and the Relation of Predictive Ability to Banks' Share Prices,”Contemporary Accounting Reserach,30(3):PP.818~854.
[21]Finger, M., I. Gavious and R. Manos. 2018. “Environmental Risk Management and Financial Performance in the Banking Industry: A Cross-Country Comparison,” Journal of International Financial Markets, Institutions and Money, 52: pp.240~261.
[22]Fombrun, C. and M. Shanley. 1990. “WHAT’S IN A NAME? REPUTATION BUILDING AND CORPORATE STRATEGY.,” Academy of Management Journal, 33(2): pp.233~258.
[23]Fombrun, C.J., N.A. Gardberg and J.M. Sever. 2000. “The Reputation Quotient SM: A Multi-Stakeholder Measure of Corporate Reputation,” Journal of Brand Management, 7(4): pp.241~255.
[24]Freyaldenhoven, S., C. Hansen and J.M. Shapiro. 2019. “Pre-Event Trends in the Panel Event-Study Design,” American Economic Review, 109(9): pp.3307~3338.
[25]Galán, J.E. and Y. Tan. 2024. “Green Light for Green Credit? Evidence from Its Impact on Bank Efficiency,” International Journal of Finance & Economics, 29(1): pp.531~550.
[26]Gardner, J. 2022, “Two-Stage Differences in Differences.” ARXIV Working Paper, 2207.05943.
[27]Goyenko, R.Y., C.W. Holden and C.A. Trzcinka. 2009. “Do Liquidity Measures Measure Liquidity?,” Journal of Financial Economics, 92(2): pp.153~181.
[28]Hoffmann, A.O. and T. Post. 2016. “How Does Investor Confidence Lead to Trading? Linking Investor Return Experiences, Confidence, and Investment Beliefs,” Journal of Behavioral and Experimental Finance, 12: pp.65~78.
[29]Hu,B.,Schclarek,A.,Xu,J.,and J.Yan.2022.“Long-term Finance Provision:National Development Banks vs Commercial Banks”,World Development,158,105973.
[30]Kunapatarawong, R. and E. Martínez-Ros. 2016. “Towards Green Growth: How Does Green Innovation Affect Employment?,” Research Policy, 45(6): pp.1218~1232.
[31]Kwan, S. and R.A. Eisenbeis. 1997. “Bank Risk, Capitalization, and Operating Efficiency,” Journal of Financial Services Research, 12(2/3): pp.117~131.
[32]Marin, J.M. and J.P. Olivier. 2008. “The Dog That Did Not Bark: Insider Trading and Crashes,” The Journal of Finance, 63(5): pp.2429~2476.
[33]Roll, R. 1984. “A Simple Implicit Measure of the Effective Bid-Ask Spread in an Efficient Market,” The Journal of Finance, 39(4): pp.1127~1139.
[34]Suh, T. and L.S. Amine. 2007. “Defining and Managing Reputational Capital in Global Markets,” Journal of Marketing Theory and Practice, 15(3): pp.205~217.
[35]Tian, G., K.T. Wang and Y. Wu. 2023. “Does the Market Value the Green Credit Performance of Banks? Evidence from Bank Loan Announcements,” The British Accounting Review, pp.101282.
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