深度-世界银行-将气候变化和自然灾害纳入项目经济分析：灾害和气候风险压力测试方法（英文）-2021.6-88页_6mb

Summary of "Integrating Climate Change and Natural Disasters in the Economic Analysis of Projects"

Core Content

This document outlines a disaster and climate risk stress test (RiST) methodology to integrate climate change and natural disaster risks into the economic analysis of World Bank projects. The goal is to improve project resilience and ensure that economic viability is assessed under various risk scenarios.

The methodology is linked to the World Bank's Resilience Rating System (RRS), which evaluates the resilience of projects on a scale from A to F. The RiST tool is an Excel-based tool that supports the stress testing analysis and provides a structured approach to evaluating risks from climate change and natural disasters.

Main Points

• Project Viability and Risk Assessment: Projects must consider climate and disaster risks in their design and appraisal to ensure long-term viability and resilience.
• Stress Testing Framework: The methodology includes a series of steps to evaluate how climate and disaster risks may affect a project's net present value (NPV), benefit-cost ratio (BCR), and other performance indicators.
• Baseline Analysis: A standard cost-benefit analysis (CBA) is the starting point, with the recommendation to consider both optimistic and pessimistic scenarios.
• Climate and Disaster Impacts: Risks are assessed through three dimensions:
  1. Changes in average climate conditions
  2. Impacts from natural disasters with current frequency and intensity
  3. Changes in disaster frequency due to climate change
• Sensitivity Analysis: This helps identify the most vulnerable aspects of a project and how different factors (e.g., discount rates, disaster frequency) influence its performance.
• Switching Scenarios: These are used to determine the thresholds at which a project may fail due to climate or disaster impacts, and whether such scenarios are plausible or manageable.
• Reporting and Decision-Making: The results of the stress test must be incorporated into project documents, including a reporting template, to inform decision makers about project robustness and residual risks.

Key Information

• The RiST tool is a key component of the methodology, allowing for the assessment of climate and disaster risks in a structured way.
• Climate scenarios should be selected based on principles such as representativeness and plausibility, using models like RCPs and CMIP.
• Natural disaster impacts are estimated using historical data and modeling, with a focus on 10- and 100-year return periods.
• The methodology does not aim to predict future impacts but rather to assess the likelihood and consequences of different risk scenarios.
• Uncertainty management is crucial, and the methodology encourages the use of a range of possible values and multiple scenarios to evaluate project robustness.
• Projects that could lead to catastrophic losses (e.g., large dams) require more sophisticated analysis than the basic RiST approach.
• The tool is not a replacement for detailed engineering analysis but serves as a complementary approach to enhance resilience in economic decision-making.

Structure Overview

1. Introduction

   • Highlights the importance of considering climate and disaster risks in project design and appraisal.
   • Introduces the RiST methodology and its role in improving project resilience.

2. In a Nutshell: Analysis, Decision Making, and Reporting

   • Provides an overview of the stress testing methodology.
   • Introduces a reporting template to ensure transparency in risk assessment.

3. The Starting Point: Standard Cost-Benefit Analysis

   • Describes the baseline economic analysis and the need to incorporate risk scenarios.

4. Changes in Average Climate Conditions

   • Explains how to assess the impact of climate change on project costs and benefits.
   • Suggests using a range of climate models and scenarios.

5. Natural Hazards and Disasters

   • Details how to identify relevant hazards and estimate their impacts.
   • Recommends using historical data and modeling techniques.

6. Climate Change Impact on Natural Hazards

   • Discusses how climate change may alter the frequency and severity of natural disasters.
   • Proposes a more comprehensive approach that considers both likelihood and consequences.

7. Managing Uncertainty in Climate Impacts

   • Advises on the use of multiple scenarios and identifying a switching scenario where the project may fall below an acceptable performance threshold.

8. Managing Uncertainty in Project Outcomes

   • Suggests using optimistic and pessimistic baselines to account for non-climate-related risks.

9. Sensitivity Analysis

   • Emphasizes the importance of identifying the most critical vulnerabilities.
   • Uses RiST tool outputs to guide risk mitigation strategies.

10. Selecting Climate Scenarios

    • Outlines key principles for choosing appropriate climate scenarios.
    • Recommends using a range of RCPs and CMIP models for comprehensive risk assessment.

Appendices

• Appendix A: Provides a reporting template for project documents.
• Appendix B: Lists resources for climate and disaster information, including general and sector-specific databases.
• Appendix C–F: Includes examples of applying the methodology to energy, transport, agriculture, and water sector projects.
• Appendix G: Contains references to supporting literature and reports.

Caveats

• The methodology is not intended to replace detailed engineering analysis.
• It is not suitable for projects that already incorporate climate and disaster risks in their economic analysis.
• It should be used to complement existing analyses, not to forecast specific outcomes.
• The tool is designed for projects with high uncertainty in climate and disaster impacts.