Making physical climate risk assessments relevant to the financial sector – Lessons learned from real estate cases in the Netherlands

过程(计算) 鉴定(生物学) 采购 房地产 业务 风险分析(工程) 投资决策 质量(理念) 财务 计算机科学 营销 操作系统 哲学 认识论 行为经济学 生物 植物
作者
Emmanuel M. N. A. N. Attoh,Karianne de Bruin,H. Goosen,Felix van Veldhoven,Fulco Ludwig
出处
期刊:Climate Risk Management [Elsevier BV]
卷期号:37: 100447-100447 被引量:15
标识
DOI:10.1016/j.crm.2022.100447
摘要

Climate change can be an important additional risk for the financial sector. For (large) investments in real estate, it is becoming increasingly important to take climate related risks into account. Yet, generating tailored physical climate risk information to make meaningful decisions about investment portfolios remains difficult. Using literature review, semi-structured interviews and reflection on four case studies implemented in the Netherlands, this paper presents lessons learned and recommendations for improving Physical Climate Risk Assessments (PCRA) for the financial sector. Results from the literature review show that simply selecting a PCRA methodology does not guarantee uptake of information by end-users, because there is no single approach that is suitable for all contexts. From the case interviews, we conclude that effective PCRA information is helpful for the financial sector in several ways; first, it supports investors to pinpoint which assets need attention and how much money is required to mitigate the impacts. Second, they serve as a template upon which clients make purchasing decisions. Third, they serve as a tool for determining the choice of building materials and the structure of properties. Fourth, they assist firms in the development of plausible adaptation strategies. Furthermore, we identified five cardinal points (that incorporate the perspectives of both providers and end-users) to improve the PCRA process: 1) Engagement and co-production, 2) Needs identification, 3) Data availability and quality, 4) Internal integration, and 5) Communication. These recommendation points will serve as a valuable reference to guide the selection and implementation of the most appropriate PCRA method for a given situation.
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