Summary
This panel regression study analysed 28 years of district-level crop yield data (1990–2017) across eastern India to quantify how seasonal climate variables affect food grain production. Using spatially disaggregated administrative data, the authors estimated production functions incorporating temperature, rainfall, evapotranspiration, and wind speed, finding that climate change significantly influences agricultural outcomes in the region. Results align with comparable state and district-level studies in India, with implications for inter-regional inequality and food security policy.
Regional applicability
This study addresses Indian agricultural systems and climate vulnerability, which differs substantially from United Kingdom farming contexts. However, the methodological approach—panel regression with seasonal weather variables—may inform UK research on climate sensitivity in cereal production, particularly as climate change intensifies weather volatility in temperate systems.
Key measures
Food grain yields (physical crop yields); average temperature; rainfall; evapotranspiration; wind speed; agricultural production functions by district
Outcomes reported
The study estimated agricultural production functions for food grains in eastern India using district-level panel data, incorporating seasonal weather variables (temperature, rainfall, evapotranspiration, wind speed) to quantify climate sensitivity of crop yields. Results indicate that changing weather patterns significantly influence crop production and disrupt food availability and quality.
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