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Seasonal Weather Sensitivity of Staple Crop Rice in South India

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

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.

Suggested Citation

  • Mohapatra, Souryabrata & Sharp, Basil & Sahoo, Auro Kumar & Sahoo, Dukhabandhu, 2022. "Seasonal Weather Sensitivity of Staple Crop Rice in South India," MPRA Paper 124195, University Library of Munich, Germany.
    • Handle: RePEc:pra:mprapa:124195
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    More about this item

    Keywords

    Climate Impact; Rice Production; Stochastic Production Function; South India;
    All these keywords.

    JEL classification:

    • C51 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Model Construction and Estimation
    • Q12 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Agriculture - - - Micro Analysis of Farm Firms, Farm Households, and Farm Input Markets
    • Q54 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics - - - Climate; Natural Disasters and their Management; Global Warming

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