Climate change and inequality: distributional effects of heatwaves and heat stress in India

Abstract The study investigates the effect of extreme heat on consumption inequality in India from 2014 to 2022. To capture local geographical and climatic diversity, the study examines the effect at the district level. We calculated a range of indices to measure extreme heat, including heatwaves, hot days and heat stress. We provided empirical evidence on the effect of extreme heat on inequality using two-way fixed-effects and generalised method of moments, and causal evidence using double machine learning. Results reveal that extreme heat increases inequality. Districts with high-temperature anomalies adapt to extreme heat, whereas those with low-temperature anomalies experience greater adverse effects. The study explores the agricultural channel and finds that districts with high agricultural intensity exhibit greater adaptation to extreme heat, whereas low-agricultural-intensity districts experience increased inequality due to extreme heat. Classifying districts by temperature anomalies and agricultural intensity is crucial for policies aimed at mitigating the impacts of extreme heat.

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Publication Details

Journal
Environment and Development Economics
Published
2026-07-22
DOI
https://doi.org/10.1017/s1355770x2610062x
Primary Topic
Climate Change and Health Impacts
Type
article
Field-Weighted Citation Impact
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article

Climate change and inequality: distributional effects of heatwaves and heat stress in India

Bimal Kishore Sahoo, Sunandan Ghosh, Sahil Verma
Environment and Development Economics
Climate Change and Health Impacts
article

Climate change and inequality: distributional effects of heatwaves and heat stress in India

Bimal Kishore Sahoo, Sunandan Ghosh, Sahil Verma
article en

Abstract

Abstract The study investigates the effect of extreme heat on consumption inequality in India from 2014 to 2022. To capture local geographical and climatic diversity, the study examines the effect at the district level. We calculated a range of indices to measure extreme heat, including heatwaves, hot days and heat stress. We provided empirical evidence on the effect of extreme heat on inequality using two-way fixed-effects and generalised method of moments, and causal evidence using double machine learning. Results reveal that extreme heat increases inequality. Districts with high-temperature anomalies adapt to extreme heat, whereas those with low-temperature anomalies experience greater adverse effects. The study explores the agricultural channel and finds that districts with high agricultural intensity exhibit greater adaptation to extreme heat, whereas low-agricultural-intensity districts experience increased inequality due to extreme heat. Classifying districts by temperature anomalies and agricultural intensity is crucial for policies aimed at mitigating the impacts of extreme heat.

Environment and Development Economics
Indian Institute of Technology Kharagpur (IN), Manipal University Jaipur
Climate action
Openalex Percentile: Top 10%
Climate Change and Health Impacts
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