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

Author

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  • Kirtti Ranjan Paltasingh

    (Assistant Professor, Centre for Research on Climate Change and Environmental Law, NALSAR University of Law, Hyderabad)

  • Phanindra Goyari

    (Department of Economics Texas Christian University PO Box 298510 Fort Worth, Texas-76129 (USA))

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

  • Kirtti Ranjan Paltasingh & Phanindra Goyari, 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), pages 42-60, June.
    • Handle: RePEc:sag:seajad:v:15:y:2018:i:1:p:42-60
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    References listed on IDEAS

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    Cited by:

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    2. Emad Kazemzadeh & José Alberto Fuinhas & Matheus Koengkan & Fariba Osmani, 2022. "The Heterogeneous Effect of Economic Complexity and Export Quality on the Ecological Footprint: A Two-Step Club Convergence and Panel Quantile Regression Approach," Sustainability, MDPI, vol. 14(18), pages 1-24, September.
    3. Emad Kazemzadeh & José Alberto Fuinhas & Narges Salehnia & Fariba Osmani, 2023. "The effect of economic complexity, fertility rate, and information and communication technology on ecological footprint in the emerging economies: a two-step stirpat model and panel quantile regressio," Quality & Quantity: International Journal of Methodology, Springer, vol. 57(1), pages 737-763, February.
    4. Emad Kazemzadeh & José Alberto Fuinhas & Matheus Koengkan & Fariba Osmani & Nuno Silva, 2022. "Do energy efficiency and export quality affect the ecological footprint in emerging countries? A two-step approach using the SBM–DEA model and panel quantile regression," Environment Systems and Decisions, Springer, vol. 42(4), pages 608-625, December.

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    More about this item

    Keywords

    Supply response; Modeling; Forecasting; Crop yield; Weather;
    All these keywords.

    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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