Climate shocks increase poverty and reduce development gains and productive investments, in part because vulnerable households have poor financial resilience, are often not covered by public safety nets, and therefore have little ability to cushion the impacts of shocks. Globally, nearly one in five people (18 percent) are at risk of climate hazards and are likely to experience a severe climate shock in their lifetime that they will struggle to recover from. Among those at risk, 44 percent have no access to a bank or mobile money account, and 49 percent neither receive benefits nor are eligible to receive benefits from social protection schemes (World Bank Corporate Scorecard, 2024). Improving households’ post-shock access to financing—by strengthening public safety nets and encouraging people to increase their own financial resources to meet unanticipated expenses (for example, through savings and insurance)—is thus an urgent policy priority.
This note presents an analytical approach to developing forward-looking household climate vulnerability curves to understand both the size of the financing problem and the ways that different policies can address it. The approach is illustrated with an application to drought risk in Sub-Saharan Africa. It provides valuable inputs for policymakers prioritizing investments in climate adaptation and resilience, can add technical value to key flagships such as Country Climate and Development Reports (CCDRs) and Poverty and Equity Assessments, and can support the use of instruments from the World Bank’s Crisis Preparedness and Response Toolkit.
Repository name | URI |
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Reproducible Research Repository (World Bank) | https://reproducibility.worldbank.org |
Paper exhibits were reproduced in a computer with the following specifications:
– OS: Windows 11 Enterprise
– Processor: INTEL(R) XEON(R) PLATINUM 8562Y+ 2.80 GHz (2 processors)
– Memory available: 32.0 GB
– Software version: Stata 18.0 MP
~ 10 minutes
Since all the data is not included, the package includes the results produced by replicators in the Results folder. These files can be used to review the results presented in the paper.
Some data is restricted and has not been included in the reproducibility package. For more details, please refer to the README file.
Author | Affiliation | |
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Evie Calcutt | World Bank | ecalcutt@worldbank.org |
Ruth Hill | World Bank | rhill@worldbank.org |
Katja Vinha | World Bank | kvinha@worldbank.org |
2025-07
Location | Code |
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Sub-Saharan Africa (excluding high income) | SSA |
The materials in the reproducibility packages are distributed as they were prepared by the staff of the International Bank for Reconstruction and Development/the World Bank. The findings, interpretations, and conclusions expressed in this event do not necessarily reflect the views of the World Bank, the Executive Directors of the World Bank, or the governments they represent. The World Bank does not guarantee the accuracy of the materials included in the reproducibility package
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Modified BSD3 | https://opensource.org/license/bsd-3-clause/ |
Name | Affiliation | |
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Katja Vinha | World Bank | kvinha@worldbank.org |
Reproducibility WBG | World Bank | reproducibility@worldbank.org |
Name | Abbreviation | Affiliation | Role |
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Reproducibility WBG | DIME | World Bank - Development Impact Department | Verification and preparation of metadata |
2025-07-11
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