Please wait a minute...
金融研究  2025, Vol. 538 Issue (4): 95-113    
  本期目录 | 过刊浏览 | 高级检索 |
气候政策不确定性应对与实体企业金融资产配置
周泽将, 汪顺, 董丰
安徽大学商学院, 安徽合肥 230601;
清华大学经济管理学院, 北京 100084
Climate Policy Uncertainty Response and Financial Asset Allocation of Real Economy Enterprises
ZHOU Zejiang, WANG Shun, DONG Feng
School of Business, Anhui University;
School of Economics and Management, Tsinghua University
下载:  PDF (716KB) 
输出:  BibTeX | EndNote (RIS)      
摘要 应对气候变化、实现“双碳”目标是一场广泛而深刻的变革,气候政策在其中发挥着至关重要的作用,但在制定和执行气候政策过程中,如不注重政策间的取向一致性,可能造成风险,抑制实体经济发展。基于A股上市公司数据,本文实证检验了气候政策不确定性对实体企业金融资产配置的影响,发现企业面临的气候政策不确定性每上升一个标准差,金融资产配置水平将上升6.66%个标准差。机制检验表明,气候政策不确定性同时增加了传统实体资产风险与绿色实体资产风险,从而促使企业调整其资产结构。异质性分析显示,气候政策不确定性的影响与气候物理风险的影响可以相互叠加,且在风险治理较差、外部引导较弱的企业样本中更为显著。经济后果检验发现,气候政策不确定性所诱发的金融资产配置策略并不利于企业的绿色转型和高质量发展。这些结果表明,应充分关注气候政策间的取向一致性,以降低政策不确定性。
服务
把本文推荐给朋友
加入引用管理器
E-mail Alert
RSS
作者相关文章
周泽将
汪顺
董丰
关键词:  气候政策不确定性  金融资产配置  气候风险  实体经济    
Summary:  Climate change is deeply affecting the global real economy. As a responsible major country, China attaches great importance to climate issues, not only elevating the achievement of the “dual carbon” goals and actively responding to climate change to the national strategic level, but also directly implementing a series of climate policies and achieving positive results. However, it is important to note that firms often cannot accurately predict whether, when, or to what extent government agencies will adjust climate policies. Therefore, climate policy carries a high degree of uncertainty. From an economic perspective, the macro-level climate policy uncertainty index has been rising sharply in recent years, suggesting that existing research on this issue remains limited.
This paper examines the impact of climate policy uncertainty on the real economy by focusing on corporate financial asset allocation. The results show that a one standard deviation increase in climate policy uncertainty leads to a 6.66% standard deviation increase in the level of financial asset allocation. Mechanism analysis reveals that climate policy uncertainty increases the risks of both traditional physical assets and green physical assets, which drives firms to adjust their asset structures. Heterogeneity analysis further indicates that the effects of climate policy uncertainty are compounded by physical climate risks, especially in firms with weaker risk governance and limited external guidance. The economic consequences test demonstrates that the shift toward financial asset allocation caused by climate policy uncertainty is not conducive to firms' green transformation and high-quality development.
The marginal contribution of this paper is mainly reflected in the following three aspects: First, this study finds that, similar to physical climate risks, climate policy uncertainty can also reduce the return on real investments, leading firms to increase their financial asset allocation. The finding adds useful evidence to the growing literature on how climate risks affect the real economy. Second, as China moves into a key stage of green and low-carbon transition, the influence of climate policy on the economy has become more important. This paper adds to the literature on policy uncertainty and corporate investment by focusing on the specific uncertainty related to climate policy, rather than using general economic policy uncertainty indicators. Finally, this paper clarifies the inherent mechanism of climate policy uncertainty leading to corporate financial asset allocation, that is, climate policies with high uncertainty are not only not conducive to the green transformation of corporate physical assets, but also increase the risk of traditional physical assets.
This paper provides the following policy implications. First, for climate policymakers, it is important to consider not only the strictness or flexibility of individual climate policies but also the consistency and coordination among newly introduced and existing policies. Improving policy coherence can help reduce uncertainty and ease the investment challenges faced by firms in the real economy. Second, it is essential to recognize the diverse and systemic nature of climate risks, as well as the interconnections among different types of specific climate risks. Policymakers should make full use of the guiding role of long-term institutional investors and government-led environmental policies to build a multi-level governance framework that involves government, markets, and enterprises. Finally, for firms, it is necessary to adopt a long-term perspective, continuously strengthen their resilience to climate risks, and build a solid foundation for a low-carbon transition. This can help reduce short-term speculative behavior, such as excessive reliance on financial asset allocation, and support more sustainable business strategies.
Keywords:  Climate Policy Uncertainty    Financial Asset Allocation    Climate Risk    Real Economy
JEL分类号:  F27   F83   P46  
基金资助: * 本文感谢国家自然科学基金项目(72250064、72122011与72172001)的资助。感谢匿名审稿人的宝贵意见,文责自负。
通讯作者:  董 丰,经济学博士,副教授,清华大学经济管理学院,E-mail: dongfeng@sem.tsinghua.edu.cn.   
作者简介:  周泽将,管理学博士,教授,安徽大学商学院,E-mail:ahuzzj@126.com.
汪 顺,管理学博士,副教授,安徽大学商学院,E-mail:ahuacc_ws@163.com.
引用本文:    
周泽将, 汪顺, 董丰. 气候政策不确定性应对与实体企业金融资产配置[J]. 金融研究, 2025, 538(4): 95-113.
ZHOU Zejiang, WANG Shun, DONG Feng. Climate Policy Uncertainty Response and Financial Asset Allocation of Real Economy Enterprises. Journal of Financial Research, 2025, 538(4): 95-113.
链接本文:  
http://www.jryj.org.cn/CN/  或          http://www.jryj.org.cn/CN/Y2025/V538/I4/95
[1] 蔡海静、谢乔昕和章慧敏,2021,《权变抑或逐利:环境规制视角下实体企业金融化的制度逻辑》,《会计研究》第4期,第78~88页。
[2] 陈诗一、张建鹏和刘朝良,2021,《环境规制、融资约束与企业污染减排——来自排污费标准调整的证据》,《金融研究》第9期,第51~71页。
[3] 陈胜蓝、王鹏程、马慧和刘晓玲,2023,《中小企业促进法的稳就业效应——基于政府信用体系建设视角》,《管理世界》第9期,第52~88页。
[4] 杜勇、谢瑾和陈建英,2019,《CEO金融背景与实体企业金融化》,《中国工业经济》第5期,第136~154页。
[5] 方红星和陈作华,2015,《高质量内部控制能有效应对特质风险和系统风险吗?》,《会计研究》第4期,第77~96页。
[6] 冯永琦、张浩琳和倪娟,2024,《实体企业金融资产投资动机:货币政策异质性影响与数字金融调节效应》,《中国工业经济》第2期,第118~136页。
[7] 何朝林、涂蓓和王鹏,2021,《动态均值—方差资产组合的有效性:时变风险容忍度视角》,《中国管理科学》第1期,第1~11页。
[8] 姜广省、卢建词和李维安,2021,《绿色投资者发挥作用吗?——来自企业参与绿色治理的经验研究》,《金融研究》第5期,第117~134页。
[9] 刘贯春、段玉柱和刘媛媛,2019,《经济政策不确定性、资产可逆性与固定资产投资》,《经济研究》第8期,第53~70页。
[10] 刘贯春、刘媛媛和张军,2020,《经济政策不确定性与中国上市公司的资产组合配置——兼论实体企业的“金融化”趋势》,《经济学(季刊)》第5期,第65~86页。
[11] 聂辉华、阮睿和沈吉,2020,《企业不确定性感知、投资决策和金融资产配置》,《世界经济》第6期,第77~98页。
[12] 宋全云、李晓和钱龙,2019,《经济政策不确定性与企业贷款成本》,《金融研究》第7期,第57~75页。
[13] 王红建、曹瑜强、杨庆和杨筝,2017,《实体企业金融化促进还是抑制了企业创新——基于中国制造业上市公司的经验研究》,《南开管理评论》第1期,第155~166页。
[14] 汪顺、余璐、雷玲,2024,《气候政策不确定性与中国企业升级困境》,《财经研究》第2期,第123~138页。
[15] 杨胜刚和阳旸,2018,《资产短缺与实体经济发展——基于中国区域视角》,《中国社会科学》第7期,第59~80页。
[16] 于连超、张卫国和毕茜,2021,《产业政策与企业“脱实向虚”:市场导向还是政策套利》,《南开管理评论》第4期,第128~142页。
[17] 张成思和张步昙,2016,《中国实业投资率下降之谜:经济金融化视角》,《经济研究》第12期,第32~46页。
[18] 张成思和郑宁,2020,《中国实体企业金融化:货币扩张、资本逐利还是风险规避?》,《金融研究》第9期,第1~19页。
[19] 周泽将、汪顺和张悦,2022,《知识产权保护与企业创新信息困境》,《中国工业经济》第6期,第136~154页。
[20] Asante-Appiah, B., and T. A. Lambert, 2023. “The Role of the External Auditor in Managing Environmental, Social, and Governance (ESG) Reputation Risk”, Review of Accounting Studies, 28(4) , pp. 2589~2641.
[21] Baker, S. R., N. Bloom, and S. J. Davis, 2016. “Measuring Economic Policy Uncertainty”, Quarterly Journal of Economics, 131(4) , pp. 1593~1636.
[22] Breuer, M., and E.D. DeHaan, 2024. “Using and Interpreting Fixed Effects Models”, Journal of Accounting Research, 62(4) , pp. 1183~1226.
[23] Faiella, I., and F. Natoli, 2019. “Climate Change and Bank Lending: The Case of Flood Risk in Italy”, Working Paper.
[24] Goldsmith-Pinkham, P., I. Sorkin, and H. Swift, 2020. “Bartik Instruments: What, When, Why, and How”, American Economic Review, 110(8) , pp. 2586~2624.
[25] Huang, H. H., J. Kerstein, and C. Wang, 2017. “The Impact of Climate Risk on Firm Performance and Financing Choices: An International Comparison”, Journal of International Business Studies, 49, pp.633~656.
[26] Huynh, T. D., and Y. Xia, 2023. “Panic Selling When Disaster Strikes: Evidence in the Bond and Stock Markets”, Management Science, 69(12) , pp. 7448~7467.
[27] Ilhan, E., Z. Sautner, and G. Vilkov, 2021. “Carbon Tail Risk”, The Review of Financial Studies, 34(3) , pp. 1540~1571.
[28] Ilhan, E., P. Krueger, Z. Sautner, and L. T. Starks, 2023. “Climate Risk Disclosure and Institutional Investors”, The Review of Financial Studies, 36(7) , pp. 2617~2650.
[29] Krueger, P., Z. Sautner, and L. T. Starks, 2020. “The Importance of Climate Risks for Institutional Investors”, The Review of Financial Studies, 33(3) , pp. 1067~1111.
[30] Lee, K., and J. Cho, 2023. “Measuring Chinese Climate Uncertainty”, International Review of Economics & Finance, 88 (11) , pp.891-901.
[31] Pankratz, N., R. Bauer, and J. Derwall, 2023. “Climate Change, Firm Performance, and Investor Surprises”, Management Science, 69(12) , pp. 7352~7398.
[32] Pankratz, N. M.C., and C. M. Schiller, 2024. “Climate Change and Adaptation in Global Supply-Chain Networks”, The Review of Financial Studies, 37(6) , pp. 1729~1777.
[33] Ren, X., X. Zhang, C. Yan, and G. Gozgor, 2022. “Climate Policy Uncertainty and Firm-Level Total Factor Productivity: Evidence from China”, Energy Economics, 113, pp. 106209.
[34] Zhang, P., O. Deschenes, K. Meng, and J. Zhang, 2018. “Temperature Effects on Productivity and Factor Reallocation: Evidence from A Half Million Chinese Manufacturing Plants”, Journal of Environmental Economics and Management, 88(3) , pp. 1~17.
[1] 郭桂霞, 孙嘉梁. 企业金融资产配置与股价长期波动风险——基于投资者对企业金融资产配置预期视角的分析[J]. 金融研究, 2025, 535(1): 114-133.
[2] 申宇, 佘楷文, 许闲. 气候风险与银行盈余管理 ——基于金融监管的视角[J]. 金融研究, 2023, 517(7): 116-133.
[3] 李金甜, 毛新述. 资本市场制度型开放与流动性共性效应——兼论气候风险的影响[J]. 金融研究, 2023, 515(5): 170-188.
[4] 潘敏, 秦力宸. 金融结构对宏观经济韧性的影响——来自跨国比较的经验证据[J]. 金融研究, 2023, 521(11): 39-58.
[5] 丁宇刚, 孙祁祥. 气候风险对中国农业经济发展的影响——异质性及机制分析[J]. 金融研究, 2022, 507(9): 111-131.
[6] 叶永卫, 李增福. 国企“混改”与企业金融资产配置[J]. 金融研究, 2021, 489(3): 114-131.
[7] 刘贯春, 司登奎, 刘芳. 人力资本偏向金融部门如何影响实体经济增长?[J]. 金融研究, 2021, 496(10): 78-97.
[8] 邓路, 刘欢, 侯粲然. 金融资产配置与违约风险:蓄水池效应,还是逐利效应?[J]. 金融研究, 2020, 481(7): 172-189.
[9] 杨继生, 向镜洁. 货币传导异质性与实体经济流动性配置的“马太效应”[J]. 金融研究, 2020, 485(11): 40-57.
[10] 何青, 钱宗鑫, 刘伟. 中国系统性金融风险的度量——基于实体经济的视角[J]. 金融研究, 2018, 454(4): 53-70.
[11] 黄宪, 黄彤彤. 论中国的“金融超发展”[J]. 金融研究, 2017, 440(2): 26-41.
[12] 王永钦, 高鑫, 袁志刚, 杜巨澜. 金融发展、资产泡沫与实体经济: 一个文献综述[J]. 金融研究, 2016, 431(5): 191-206.
[1] 王曦, 朱立挺, 王凯立. 我国货币政策是否关注资产价格?——基于马尔科夫区制转换BEKK多元GARCH模型[J]. 金融研究, 2017, 449(11): 1 -17 .
[2] 刘勇政, 李岩. 中国的高速铁路建设与城市经济增长[J]. 金融研究, 2017, 449(11): 18 -33 .
[3] 况伟大, 王琪琳. 房价波动、房贷规模与银行资本充足率[J]. 金融研究, 2017, 449(11): 34 -48 .
[4] 祝树金, 赵玉龙. 资源错配与企业的出口行为——基于中国工业企业数据的经验研究[J]. 金融研究, 2017, 449(11): 49 -64 .
[5] 陈德球, 陈运森, 董志勇. 政策不确定性、市场竞争与资本配置[J]. 金融研究, 2017, 449(11): 65 -80 .
[6] 牟敦果, 王沛英. 中国能源价格内生性研究及货币政策选择分析[J]. 金融研究, 2017, 449(11): 81 -95 .
[7] 高铭, 江嘉骏, 陈佳, 刘玉珍. 谁说女子不如儿郎?——P2P投资行为与过度自信[J]. 金融研究, 2017, 449(11): 96 -111 .
[8] 吕若思, 刘青, 黄灿, 胡海燕, 卢进勇. 外资在华并购是否改善目标企业经营绩效?——基于企业层面的实证研究[J]. 金融研究, 2017, 449(11): 112 -127 .
[9] 姜军, 申丹琳, 江轩宇, 伊志宏. 债权人保护与企业创新[J]. 金融研究, 2017, 449(11): 128 -142 .
[10] 刘莎莎, 孔高文. 信息搜寻、个人投资者交易与股价联动异象——基于股票送转的研究[J]. 金融研究, 2017, 449(11): 143 -157 .
Viewed
Full text


Abstract

Cited

  Shared   
  Discussed   
版权所有 © 《金融研究》编辑部
本系统由北京玛格泰克科技发展有限公司设计开发 技术支持:support@magtech.com.cn
京ICP备11029882号-1