IDEAS home Printed from https://ideas.repec.org/p/ags/eaa123/122543.html
   My bibliography  Save this paper

Volatility in Agriculture Commodity Prices in India: Impact and Macroeconomic and Sector-Specific Policy Responses

Author

Listed:
  • Bathla, Seema

Abstract

Globalization and trade liberalization have exposed agricultural sector of many developing countries to sudden disturbances, caused not just by demand-supply conditions within their economies but also by volatility in global commodity prices, exchange rate and surge in imports. This paper evaluates the magnitude of sensitivity of Indian agriculture to these factors, and explores policy options that may neutralize their adverse effects, maintain price incentives and stability. The analysis is undertaken for one important tradable commodity viz. wheat by applying a structural econometric model, separately under the exportable and importable scenarios from 1980-81 to 2009-10. Findings reveal wheat to be increasingly driven by an incentive structure based on its linkages with world price, exchange rate and other factors. Counterfactual simulation experiments indicate that due to trade and sector-specific policies, wheat price and output tend to be much more resilient to fluctuations in international price and other shocks compared to its exports and imports.

Suggested Citation

  • Bathla, Seema, 2012. "Volatility in Agriculture Commodity Prices in India: Impact and Macroeconomic and Sector-Specific Policy Responses," 123rd Seminar, February 23-24, 2012, Dublin, Ireland 122543, European Association of Agricultural Economists.
  • Handle: RePEc:ags:eaa123:122543
    as

    Download full text from publisher

    File URL: http://purl.umn.edu/122543
    Download Restriction: no

    References listed on IDEAS

    as
    1. NR, Bhanumurthy & Kumawat, Lokendra, 2009. "External Shocks and the Indian Economy: Analyzing through a Small, Structural Quarterly Macroeconometric Model," MPRA Paper 19776, University Library of Munich, Germany.
    2. Mamingi, Nlandu, 1996. "How prices and macroeconomic policies affect agricultural supply and the environment," Policy Research Working Paper Series 1645, The World Bank.
    3. Bhattacharya, & Kar, Sabayasachi, 2007. "Macroeconomic Reforms, Growth, and Stability," OUP Catalogue, Oxford University Press, number 9780195684193.
    4. Schiff, Maurice*Valdes, Alberto, 1998. "Agriculture and the macroeconomy," Policy Research Working Paper Series 1967, The World Bank.
    5. Ardeni, Pier Giorgio & Freebairn, John, 2002. "The macroeconomics of agriculture," Handbook of Agricultural Economics,in: B. L. Gardner & G. C. Rausser (ed.), Handbook of Agricultural Economics, edition 1, volume 2, chapter 28, pages 1455-1485 Elsevier.
    6. MB Kaabia & JM Gil, 2000. "Short- and long-run effects of macroeconomic variables on the Spanish agricultural sector," European Review of Agricultural Economics, Foundation for the European Review of Agricultural Economics, vol. 27(4), pages 449-471, December.
    7. Lassaad Lachaal & Abner W. Womack, 1998. "Impacts of Trade and Macroeconomic Linkages on Canadian Agriculture," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 80(3), pages 534-542.
    8. Dasgupta, Dipak & Dubey, R.N. & Sathish, R, 2011. "Domestic Wheat Price Formation and Food Inflation in India," MPRA Paper 31564, University Library of Munich, Germany.
    9. G. Edward Schuh, 1974. "The Exchange Rate and U. S. Agriculture," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 56(1), pages 1-13.
    Full references (including those not matched with items on IDEAS)

    More about this item

    Keywords

    Agricultural trade; Price transmission; Volatility; Macroeconomic policies; International Relations/Trade; Risk and Uncertainty; Q17; C22; E69; E60;

    JEL classification:

    • Q17 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Agriculture - - - Agriculture in International Trade
    • C22 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes
    • E69 - Macroeconomics and Monetary Economics - - Macroeconomic Policy, Macroeconomic Aspects of Public Finance, and General Outlook - - - Other
    • E60 - Macroeconomics and Monetary Economics - - Macroeconomic Policy, Macroeconomic Aspects of Public Finance, and General Outlook - - - General

    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:eaa123:122543. See general information about how to correct material in RePEc.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (AgEcon Search). General contact details of provider: http://edirc.repec.org/data/eaaeeea.html .

    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 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.

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

    IDEAS is a RePEc service hosted by the Research Division of the Federal Reserve Bank of St. Louis . RePEc uses bibliographic data supplied by the respective publishers.