Summary:
The national climate change adaptation strategy 2035 identifies mitigation and adaptation as the two complementary and indispensable strategies for addressing climate change. While research on mitigation, centered on carbon emission reduction, has become extensive and in-depth, the worsening climate risks, marked by increasingly frequent and severe climate disasters, have created an urgent and pressing need for research on adaptation, which focuses on building resilience to physical climate risks. Yet adaptation research remains scarce, both in its theoretical foundations and its empirical evidence. A crucial aspect of adaptation is narrowing the climate adaptation investment gap. Climate adaptation investment encompasses all activities that strengthen resilience to physical climate risks, aiming to reduce future economic and social losses from climate disasters. The climate adaptation investment gap specifically refers to the shortfall between the amount of investment required to achieve a targeted level of resilience against physical climate risks and the actual investment that can be mobilized in practice. In reality, a substantial gap persists, posing serious threats to sustainable development. This paper focuses on a key private sector setting in which firms undertake climate adaptation investments and banks provide the credit to finance them. Given that firms exhibit heterogeneous levels of exposure to climate disasters, their adaptation needs and corresponding investment approaches differ considerably. Consequently, when firms seek credit for adaptation investments, banks face severe information asymmetry if they cannot effectively observe and assess firms’ real adaptation needs and the specific investments required. This information asymmetry, often leading to moral hazard problems in the credit market, may be a critical driver of the observed adaptation investment gap. Building on this setting, we construct a theoretical model in which a firm simultaneously finances two types of investments through bank credit: productive investment and climate adaptation investment. In the model, depositors, banks, and the firm sign loan contracts for both investment types. Given the presence of information asymmetry in both types of investments, banks monitor both activities. We then examine how information asymmetry in adaptation investment shapes the investment gap and explore how financial regulatory policies can address this market failure, along with their theoretical underpinnings. The theoretical analysis yields three main findings. First, deeper information asymmetry in adaptation investment intensifies moral hazard, preventing the optimal level, which is relatively high, of adaptation investment from obtaining a loan contract, thereby creating the adaptation investment gap. Second, greater bank monitoring effort can boost firms’ adaptation investment by mitigating information asymmetry, yet the gap persists even under the optimal choice of monitoring effort. Third, when the current level of adaptation is low (high), a reduction (increase) in the credit risk weight for such loans under financial regulatory policy induces banks to increase monitoring effort, thereby narrowing the investment gap. Moreover, this policy effect strengthens (weakens) over time, suggesting a dynamic adjustment mechanism. These theoretical findings are empirically validated. This paper makes three contributions to the literature. First, it provides an analytical framework for studying credit financing issues, especially information asymmetry, when firms seek to build resilience to physical climate risks. Second, through the lens of information asymmetry, a foundational concept in corporate finance, the paper uncovers the mechanism generating the adaptation investment gap and reveals how bank monitoring influences the gap, thereby enriching our understanding of its determinants. Third, it elucidates the specific mechanism through which financial regulatory policy affects the adaptation investment gap, traces its dynamic evolution over time, and clarifies the policy's exit strategy. These insights provide a useful reference for central banks that seek to advance climate adaptation, with a focus on building resilience to physical climate risks.
[1]陈国进、陈凌凌、金昊和赵向琴,2023a,《气候转型风险与宏观经济政策调控》,《经济研究》第5期,第60~78页。 [2]陈国进、丁赛杰、赵向琴和蒋晓宇,2021,《中国绿色金融政策、融资成本与企业绿色转型——基于央行担保品政策视角》,《金融研究》第12期,第75~95页。 [3]陈国进、丁赛杰和赵向琴,2023b,《气候政策、银行风险与宏观审慎监管创新》,《金融研究》第9期,第38~57页。 [4]陈雨露,2020,《当前全球中央银行研究的若干重点问题》,《金融研究》第2期,第1~14页。 [5]丁赛杰、陈国进、赵向琴和赵宇磊,2025,《数字技术赋能与中国绿色金融高质量发展》,《国际金融研究》第11期,第3~14页。 [6]刘冲、曾琪和刘莉亚,2023,《金融强监管、存贷长期化与企业短债长用》,《经济研究》第10期,第75~92页。 [7]孙传旺和何一若,2025,《低碳转型中差异化绿色金融政策的驱动机制与协同影响——基于引入多元绿色金融工具的DSGE模型》,《金融研究》第5期,第114~132页。 [8]王馨和王营,2021,《绿色信贷政策增进绿色创新研究》,《管理世界》第6期,第173~188+11页。 [9]王营和冯佳浩,2022,《绿色债券促进企业绿色创新研究》,《金融研究》第6期,第171~188页。 [10]熊琛、杨翱和张兆鹏,2026,《碳减排政策、绿色技术采用与转型风险》,《金融研究》第4期,第149~167页。 [11]徐枫、吕纤和郑耀东,2024,《银行竞争、卖空机制与企业融资约束》,《金融研究》第6期,第132~150页。 [12]徐倩,2014,《不确定性、股权激励与非效率投资》,《会计研究》第3期,第41~48+95页。 [13]张一林、蔡桢和郁芸君,2024,《信息不对称、碳数据质量与碳减排政策选择——兼论中国碳市场的高质量发展》,《金融研究》第9期,第114~133页。 [14]朱民和彭道菊,2022,《创新内含碳中和目标的结构性货币政策》,《金融研究》第6期,第1~15页。 [15]庄子罐、曾诗岩和林博源,2025,《低碳转型风险与央行政策调控》,《金融研究》第6期,第21~38页。 [16]Agénor, P. R., 2019, “Growth and Welfare Effects of Macroprudential Regulation”, Macroeconomic Dynamics, 23(8), pp.3140 ~ 3162. [17]Bento, A. M., N. Miller, M. Mookerjee and E. Severnini, 2023, “A Unifying Approach to Measuring Climate Change Impacts and Adaptation”, Journal of Environmental Economics and Management, 121, 102843. [18]Carattini, S., G. Heutel and G. Melkadze, 2023, “Climate Policy, Financial Frictions, and Transition Risk”, Review of Economic Dynamics, 51, pp.778 ~ 794. [19]Diamond, D. W., 1984, “Financial Intermediation and Delegated Monitoring”, Review of Economic Studies, 51(3), pp.393 ~ 414. [20]Fried, S., 2022, “Seawalls and Stilts: A Quantitative Macro Study of Climate Adaptation”, Review of Economic Studies, 89(6), pp.3303 ~ 3344. [21]Grover, A. and M. E. Kahn, 2024, “Firm Adaptation to Climate Change”, NBER Working Paper. [22]Hansen, L. P., 2022, “Central Banking Challenges Posed by Uncertain Climate Change and Natural Disasters”, Journal of Monetary Economics, 125, pp.1 ~ 15. [23]Holmstrom, B. and J. Tirole, 1997, “Financial Intermediation, Loanable Funds, and the Real Sector”, Quarterly Journal of Economics, 112(3), pp.663 ~ 691. [24]Hong, H., N. Wang and J. Yang, 2023, “Mitigating Disaster Risks in the Age of Climate Change”, Econometrica, 91(5), pp.1763 ~ 1802. [25]Jordà, Ò. and A. M. Taylor, 2025, “Local Projections”, Journal of Economic Literature, 63(1), pp.59 ~ 110. [26]Myers, S. C. and N. S. Majluf, 1984, “Corporate Financing and Investment Decisions When Firms Have Information That Investors Do Not Have”, Journal of Financial Economics, 13(2), pp.187 ~ 221.