Dunz Nepomuk, Hrast Essenfelder Arthur, Mazzocchetti Andrea, Monasterolo Irene, Raberto Marco
The World Bank, USA.
Vienna University of Economics and Business, Institute for Ecological Economics, Welthandelsplatz 1, Wien 1020, Austria.
J Bank Financ. 2023 Jul;152:106306. doi: 10.1016/j.jbankfin.2021.106306. Epub 2021 Sep 8.
We assess the individual and compounding impacts of COVID-19 and climate physical risks in the economy and finance, using the EIRIN Stock-Flow Consistent model. We study the interplay between banks' lending decisions and government's policy effectiveness in the economic recovery process. We calibrate EIRIN on Mexico, being a country highly exposed to COVID-19 and hurricanes risks. By embedding financial actors and the credit market, and by endogenising investors' expectations, EIRIN analyses the finance-economy feedbacks, providing an accurate assessment of risks and policy co-benefits. We quantify the impacts of compounding COVID-19 and hurricanes on GDP through time using a compound risk indicator. We find that procyclical lending and credit market constraints amplify the initial shocks by limiting firms' recovery investments, thus mining the effectiveness of higher government spending. When COVID-19 and hurricanes compound, non-linear dynamics that amplify losses emerge, negatively affecting the economic recovery, banks' financial stability and public debt sustainability.
我们使用EIRIN存量-流量一致模型评估了新冠疫情和气候物理风险对经济与金融的个体及综合影响。我们研究了银行贷款决策与政府政策有效性在经济复苏过程中的相互作用。我们以墨西哥为对象校准EIRIN,该国高度暴露于新冠疫情和飓风风险之下。通过嵌入金融行为主体和信贷市场,并使投资者预期内生化,EIRIN分析了金融-经济反馈,对风险和政策协同效益进行了准确评估。我们使用复合风险指标量化了新冠疫情和飓风随时间推移对国内生产总值的综合影响。我们发现,顺周期贷款和信贷市场约束通过限制企业的复苏投资放大了初始冲击,从而削弱了政府增加支出的有效性。当新冠疫情和飓风叠加时,会出现放大损失的非线性动态,对经济复苏、银行的金融稳定性和公共债务可持续性产生负面影响。