This paper uses cross sectional surveys of households over the period 2007-2021 from Thailand’s Socio-Economic Expenditure Survey (SES) to conduct one of the first investigations of the impacts of climatic variability on two key statistics characterizing the distribution of welfare in Thailand: the mean and the variance (or inequality). It shows that historically higher rainfall is positively associated with the mean level of welfare, as measured by household consumption expenditures per capita,and negatively associated with poverty and a variety of measures of inequality in the country. These results validate concerns regarding the impacts of increased climatic variability and more frequent and intense weather extremes associated with theprocess of climate change. More frequent and more intense shortages of rainfall will decrease welfare and increase inequality at the national level and in both urban and rural areas. There is considerable variation in the extent to which access to social assistance and credit programs in their current configuration manages to mitigate the negative impacts of rainfall shortages on welfare and prevent increases in inequality. Investing in irrigation infrastructure and strengthening the insurancecomponents of social protection and credit support programs, such as the Village Funds program, through increasing the identification, targeting and coverage of those vulnerable to poverty from exposure to such shocks, provide promising options for mitigating the impacts of climatic variability on welfare, poverty, and overall inequality in Thailand.
| Repository name | URI |
|---|---|
| Reproducible Research Repository (World Bank) | https://reproducibility.worldbank.org |
Run time: ~ 30 minutes
Stata.do located in \Code\Master, and run the do-file to reproduce the tables. Then open the R project called rep package.Rproj and run the R script Maps_THA.R to reproduce the maps.Some data is restricted and has not been included in the reproducibility package. For more details, please refer to the README file.
| Author | Affiliation | |
|---|---|---|
| Sailesh Tiwari | World Bank | stiwari@worldbank.org |
| Emmanuel Skoufias | National University of Singapore, Lee Kuan Yew School of Public Policy | skoufias@nus.edu.sg |
| Varun Kshirsagar | World Bank | vkshirsagar@worldbank.org |
2025-10-16
| Location | Code |
|---|---|
| Thailand | THA |
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.
| Name | URI |
|---|---|
| Modified BSD3 | https://opensource.org/license/bsd-3-clause/ |
| Name | Affiliation | |
|---|---|---|
| Sailesh Tiwari | World Bank | stiwari@worldbank.org |
| Reproducibility WBG | World Bank | reproducibility@worldbank.org |
| Name | Abbreviation | Affiliation | Role |
|---|---|---|---|
| Reproducibility WBG | DECDI | World Bank - Development Impact Department | Verification and preparation of metadata |
2025-10-16
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