ArticleProceedings of the National Academy of Sciences of the United States of America2022
Climate change and the nonlinear impact of precipitation anomalies on income inequality.
Article in Proceedings of the National Academy of Sciences of the United States of America, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
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7 citing papers in PubMed, 81 citations in OpenAlex.
- Article
- Article
- A unified dataset for pre-processed climate indicators weighted by gridded economic activity.Scientific data · 2024Article
- Climate damage projections beyond annual temperature.Nature climate change · 2024Article
- Nonlinear El Niño impacts on the global economy under climate change.Nature communications · 2023Article
- Three Climate and Health Lessons from Nepal Ahead of COP28.NAM perspectives · 2023Article
- Climate change and the nonlinear impact of precipitation anomalies on income inequality.Proceedings of the National Academy of Sciences of the United States of America · 2022Article
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Authors and funding
4 authors at 1 institution in 2 countries.
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Abstract
Climate anomalies, such as floods and droughts, as well as gradual temperature changes have been shown to adversely affect economies and societies. Although studies find that climate change might increase global inequality by widening disparities across countries, its effects on within-country income distribution have been little investigated, as has the role of rainfall anomalies. Here, we show that extreme levels of precipitation exacerbate within-country income inequality. The strength and direction of the effect depends on the agricultural intensity of an economy. In high-agricultural-intensity countries, climate anomalies that negatively impact the agricultural sector lower incomes at the bottom end of the distribution and generate greater income inequality. Our results indicate that a 1.5-SD increase in precipitation from average values has a 35-times-stronger impact on the bottom income shares for countries with high employment in agriculture compared to countries with low employment in the agricultural sector. Projections with modeled future precipitation and temperature reveal highly heterogeneous patterns on a global scale, with income inequality worsening in high-agricultural-intensity economies, particularly in Africa. Our findings suggest that rainfall anomalies and the degree of dependence on agriculture are crucial factors in assessing the negative impacts of climate change on the bottom of the income distribution.
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