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Statistical Modeling of Crop-Weather Relationship in India: A Survey on Evolutionary Trend of Methodologies

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  • Paltasingh, Kirtti Ranjan
  • Goyari, Phanindra

Abstract

Weather factors, like other inputs such as land, labor, seeds, irrigation, fertilizer, and pesticides are also direct inputs in crop production. In a state of agriculture where the adoption and diffusion of modern technologies is very low or almost nil, weather factors count more than other inputs because of their direct and indirect effects. Thus, the link between weather and crop yield will have implications on food supply and crop forecasting and management policies. It is of immense importance to the policymakers, agricultural scientists, agricultural economists, and meteorologists to understand this relationship. The methodology for studying this relationship has undergone many improvements over time. This paper attempts to review the studies in this area done in India and a few from abroad that brought an evolution in the methodology of crop-weather modeling.

Suggested Citation

  • Paltasingh, Kirtti Ranjan & Goyari, Phanindra, 2018. "Statistical Modeling of Crop-Weather Relationship in India: A Survey on Evolutionary Trend of Methodologies," Asian Journal of Agriculture and Development, Southeast Asian Regional Center for Graduate Study and Research in Agriculture (SEARCA), vol. 15(1), June.
    • Handle: RePEc:ags:phajad:275688
    DOI: 10.22004/ag.econ.275688
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    More about this item

    Keywords

    Crop Production/Industries; Research Methods/ Statistical Methods;

    JEL classification:

    • Q18 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Agriculture - - - Agricultural Policy; Food Policy; Animal Welfare Policy
    • C51 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Model Construction and Estimation
    • C5 - Mathematical and Quantitative Methods - - Econometric Modeling

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