Seasonal Weather Sensitivity of Staple Crop Rice in South India

Souryabrata Mohapatra, Basil Sharp, Auro Kumar Sahoo and Dukhabandhu Sahoo

MPRA Paper from University Library of Munich, Germany

Abstract: The paper examines the effect of seasonal weather variability and extremes on the mean and variance of rice yield in south India for 1990-2017. The Just and Pope stochastic production function is adopted to assess the extensive district-level data with linear and non-linear specifications. Estimation results based on feasible generalized least square method indicate that average yield and yield variability are climate-sensitive and seasonal weather variation and shock significantly influence rice production. Mean yield is observed to be primarily affected by changes in evapotranspiration and minimum temperature across seasons. Further, the minimum temperature parameter above normal is marked as a risk-increasing weather input for rice during the winter season. Countering adversities of climate change through coping strategies, region-specific policies, federal programmes and support are therefore recommended, thus pivotal for state-wide rice production and food security by extension.

Keywords: Climate Impact; Rice Production; Stochastic Production Function; South India (search for similar items in EconPapers)
JEL-codes: C51 Q12 Q54 (search for similar items in EconPapers)
Date: 2022
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Published in Proceedings of the 2nd International Conference on Water Energy Food and Sustainability (ICoWEFS 2022) (2023): pp. 130-146

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Persistent link: https://EconPapers.repec.org/RePEc:pra:mprapa:124195

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