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Weather Risk and Cropping Intensity: A Non-Stationary and Dynamic Panel Modeling Approach

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Listed:
  • Khanal, Aditya R.
  • Mishra, Ashok K.
  • Bhattarai, Madhusudan

Abstract

Climatic conditions and weather play an important role in production agriculture. Using district level panels for 42 years from India and dynamic panel estimation procedure we estimate the impact of weather risk on cropping intensity. Our non-stationary and dynamic panel model results suggest that the impact of weather risk on cropping intensity, in rural India, is negative on short run, while it is positive on long run. Additionally, we found a negative effect of education on cropping intensity. Finally, in the long run, our results indicate positive effects of high yielding variety production and share of irrigated land on cropping intensity.

Suggested Citation

  • Khanal, Aditya R. & Mishra, Ashok K. & Bhattarai, Madhusudan, 2014. "Weather Risk and Cropping Intensity: A Non-Stationary and Dynamic Panel Modeling Approach," 2014 Annual Meeting, July 27-29, 2014, Minneapolis, Minnesota 170603, Agricultural and Applied Economics Association.
    • Handle: RePEc:ags:aaea14:170603
    DOI: 10.22004/ag.econ.170603
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    References listed on IDEAS

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    Cited by:

    1. Benjamin, Catherine & Gallic, Ewen, 2018. "Does climate change influence demand ? Indian household behavior with imperfect labor markets," 2018 Annual Meeting, August 5-7, Washington, D.C. 274185, Agricultural and Applied Economics Association.

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    Keywords

    Land Economics/Use; Production Economics; Research Methods/ Statistical Methods; Resource /Energy Economics and Policy; Risk and Uncertainty;
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