IDEAS home Printed from https://ideas.repec.org/a/sag/seajad/v15y2018i1p42-60.html

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

Author

Listed:
  • 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
    as

    Download full text from publisher

    File URL: https://ajad.searca.org/article?p=683
    Download Restriction: no
    ---><---

    Other versions of this item:

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Akber, Nusrat & Paltasingh, Kirtti Ranjan, . "Public financing of Indian agriculture and its returns: some panel evidence," Agricultural Economics Research Review, Agricultural Economics Research Association (India), vol. 33(Conferenc).
    2. 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 regression," Quality & Quantity: International Journal of Methodology, Springer, vol. 57(1), pages 737-763, February.
    3. 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.
    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.

    More about this item

    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

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:sag:seajad:v:15:y:2018:i:1:p:42-60. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Leah Lyn Domingo (email available below). General contact details of provider: https://edirc.repec.org/data/searcph.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.