IDEAS home Printed from https://ideas.repec.org/p/ags/iaae18/275970.html
   My bibliography  Save this paper

Measuring the Impact of Climate Variability on Rice and Finger Millet: Empirical Evidence from a Drought Prone Region of India

Author

Listed:
  • Jena, P.R.
  • Kalli, R.

Abstract

There is clear evidence of climate variability over a period of time in the developing countries and these countries are vulnerable to devastation caused by drought and floods. Analysis accompanied with robust results will create an opportunity to enhance the rural livelihoods that are prone to frequent climate shocks. We consider a southern state of India namely Karnataka, which belongs to a sub-tropical region facing a huge threat from climate change. In this article, we link agricultural production to climate variables to examine the impact of climatevariability on the crop yields. We follow a distinct approach using the nonlinear transformation of climatic variables to confirm climate damage on rice yields. The proposed econometric technique used in this paper is fixed effect panel regression model to identify the causal relationship between the yield and climate variables (rainfall and temperature). A panel of district wise cross section for a period of 1992-2013, with necessary inputs, is used in the model. The analysis in this paper is based on the smaller spatial scale (district wise) with updated climatic data emphasizing on Kharif season which helps to provide better insight on climate change effect and mitigation of climate-induced damages.

Suggested Citation

  • Jena, P.R. & Kalli, R., 2018. "Measuring the Impact of Climate Variability on Rice and Finger Millet: Empirical Evidence from a Drought Prone Region of India," 2018 Conference, July 28-August 2, 2018, Vancouver, British Columbia 275970, International Association of Agricultural Economists.
    • Handle: RePEc:ags:iaae18:275970
    DOI: 10.22004/ag.econ.275970
    as

    Download full text from publisher

    File URL: https://ageconsearch.umn.edu/record/275970/files/2351.pdf
    Download Restriction: no
    File URL: https://libkey.io/10.22004/ag.econ.275970?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. Anubhab Pattanayak & K. S. Kavi Kumar, 2014. "Weather Sensitivity Of Rice Yield: Evidence From India," Climate Change Economics (CCE), World Scientific Publishing Co. Pte. Ltd., vol. 5(04), pages 1-24.
    2. V. Jayasree & B. Venkatesh, 2015. "Analysis of Rainfall in Assessing the Drought in Semi-arid Region of Karnataka State, India," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 29(15), pages 5613-5630, December.
    3. Im, Kyung So & Pesaran, M. Hashem & Shin, Yongcheol, 2003. "Testing for unit roots in heterogeneous panels," Journal of Econometrics, Elsevier, vol. 115(1), pages 53-74, July.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Anubhab Pattanayak & K. S. Kavi Kumar, "undated". "Does Weather Sensitivity of Rice Yield Vary Across Regions? Evidence from Eastern and Southern India," Working Papers 2017-162, Madras School of Economics,Chennai,India.
    2. Raju Guntukula & Phanindra Goyari, 2020. "Climate Change Effects on the Crop Yield and Its Variability in Telangana, India," Studies in Microeconomics, , vol. 8(1), pages 119-148, June.
    3. Herwartz, Helmut & Reimers, Hans-Eggert, 2006. "Modelling the Fisher hypothesis: World wide evidence," Economics Working Papers 2006-04, Christian-Albrechts-University of Kiel, Department of Economics.
    4. Bilal Mehmood & Syed Hassan Raza & Mahwish Rana & Huma Sohaib & Muhammad Azhar Khan, 2014. "Triangular Relationship between Energy Consumption, Price Index and National Income in Asian Countries: A Pooled Mean Group Approach in Presence of Structural Breaks," International Journal of Energy Economics and Policy, Econjournals, vol. 4(4), pages 610-620.
    5. Claudia García-García & Catalina B. García-García & Román Salmerón, 2021. "Confronting collinearity in environmental regression models: evidence from world data," Statistical Methods & Applications, Springer;Società Italiana di Statistica, vol. 30(3), pages 895-926, September.
    6. Pedroni, Peter & Yao, James Yudong, 2006. "Regional income divergence in China," Journal of Asian Economics, Elsevier, vol. 17(2), pages 294-315, April.
    7. Jean C. Kouam & Simplice Asongu, 2022. "The non-linear effects of fixed broadband on economic growth in Africa," Journal of Economic Studies, Emerald Group Publishing Limited, vol. 50(5), pages 881-895, August.
    8. Alfonso Mendoza-Velázquez & Luis Carlos Ortuño-Barba & Luis David Conde-Cortés, 2022. "Corporate governance and firm performance in hybrid model countries," Review of Accounting and Finance, Emerald Group Publishing Limited, vol. 21(1), pages 32-58, February.
    9. Ranjan Aneja & Umer J. Banday & Tanzeem Hasnat & Mustafa Koçoglu, 2017. "Renewable and Non-renewable Energy Consumption and Economic Growth: Empirical Evidence from Panel Error Correction Model," Jindal Journal of Business Research, , vol. 6(1), pages 76-85, June.
    10. Michel DIMOU & Alexandra SCHAFFAR & Zhihong CHEN & Shihe FU, 2008. "LA CROISSANCE URBAINE CHINOISE RECONSIDeReE," Region et Developpement, Region et Developpement, LEAD, Universite du Sud - Toulon Var, vol. 27, pages 109-131.
    11. Bosker, Maarten & Brakman, Steven & Garretsen, Harry & Schramm, Marc, 2008. "A century of shocks: The evolution of the German city size distribution 1925-1999," Regional Science and Urban Economics, Elsevier, vol. 38(4), pages 330-347, July.
    12. Eicher, Theo S. & Schreiber, Till, 2010. "Structural policies and growth: Time series evidence from a natural experiment," Journal of Development Economics, Elsevier, vol. 91(1), pages 169-179, January.
    13. Khémiri, Wafa & Noubbigh, Hédi, 2020. "Size-threshold effect in debt-firm performance nexus in the sub-Saharan region: A Panel Smooth Transition Regression approach," The Quarterly Review of Economics and Finance, Elsevier, vol. 76(C), pages 335-344.
    14. Vassilis Monastiriotis & Cigdem Borke Tunali, 2020. "The Sustainability of External Imbalances in the European Periphery," Open Economies Review, Springer, vol. 31(2), pages 273-294, April.
    15. Mohsen Bahmani-Oskooee & Tsangyao Chang & Kuei-Chiu Lee, 2016. "Panel asymmetric nonlinear unit root test and PPP in Africa," Applied Economics Letters, Taylor & Francis Journals, vol. 23(8), pages 554-558, May.
    16. Neil A. Wilmot & Ariuna Taivan, 2021. "Examining the Impact of Financial Development on Energy Production in Emerging Economies," JRFM, MDPI, vol. 14(2), pages 1-17, February.
    17. Raffaello Bronzini & Paolo Piselli, 2006. "Determinants of long-run regional productivity: the role of R&D, human capital and public infrastructure," Temi di discussione (Economic working papers) 597, Bank of Italy, Economic Research and International Relations Area.
    18. Peppel-Srebrny, Jemima, 2021. "Not all government budget deficits are created equal: Evidence from advanced economies' sovereign bond markets," Journal of International Money and Finance, Elsevier, vol. 118(C).
    19. Balázs Égert, 2018. "Regulation, Institutions and Aggregate Investment: New Evidence from OECD Countries," Open Economies Review, Springer, vol. 29(2), pages 415-449, April.
    20. Nguimkeu, Pierre & Zeufack, Albert, 2024. "Manufacturing in structural change in Africa," World Development, Elsevier, vol. 177(C).

    More about this item

    Keywords

    Agricultural and Food Policy; Crop Production/Industries; International Development;
    All these keywords.

    NEP fields

    This paper has been announced in the following NEP Reports:

    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:ags:iaae18:275970. 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.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with 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: AgEcon Search (email available below). General contact details of provider: https://edirc.repec.org/data/iaaeeea.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.