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Food Price Volatility in India – Drivers, Impact and Policy Response

Author

Listed:
  • Ramadas, Sendhil
  • Palanisamy, Ramasundaram
  • Kuruvila, Anil
  • Chandrasekaran, Sundaramoorthy
  • Singh, Randhir
  • Sharma, Indu

Abstract

Volatility in agricultural commodity prices is a priority policy agenda in the ongoing debate on commodity markets vis-à-vis food inflation. The extent of volatility in food commodities has been examined by comparing different indicators. In comparison to previous two decades, food prices are volatile globally and more in rice and wheat particularly during the decade since 2000. In contrast, the extent of price volatility in absolute and relative terms for India elucidated that rice and wheat are less volatile. Plausible drivers of price volatility have been empirically verified based on the arguments in economic forums besides elaborating its impact on economy. The study also highlights the various existing price stabilisation measures and concludes with a pragmatic approach of policy interventions to encounter the rising food prices.

Suggested Citation

  • Ramadas, Sendhil & Palanisamy, Ramasundaram & Kuruvila, Anil & Chandrasekaran, Sundaramoorthy & Singh, Randhir & Sharma, Indu, 2014. "Food Price Volatility in India – Drivers, Impact and Policy Response," MPRA Paper 91131, University Library of Munich, Germany.
    • Handle: RePEc:pra:mprapa:91131
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    References listed on IDEAS

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    1. Cuddy, John D A & Della Valle, P A, 1978. "Measuring the Instability of Time Series Data," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 40(1), pages 79-85, February.
    2. Kumar, Parmod & Sharma, R.K., 2003. "Spatial Price Integration and Pricing Efficiency at the Farm Level: A Study of Paddy in Haryana," Indian Journal of Agricultural Economics, Indian Society of Agricultural Economics, vol. 58(2), June.
    3. Mantu Kumar Mahalik & Debashis Acharya & M. Suresh Babu, 2014. "Price discovery and volatility spillovers in futures and spot commodity markets," Journal of Advances in Management Research, Emerald Group Publishing Limited, vol. 11(2), pages 211-226, July.
    4. Goletti, Francesco & Babu, Suresh, 1994. "Market liberalization and integration of maize markets in Malawi," Agricultural Economics, Blackwell, vol. 11(2-3), pages 311-324, December.
    5. Bollerslev, Tim, 1986. "Generalized autoregressive conditional heteroskedasticity," Journal of Econometrics, Elsevier, vol. 31(3), pages 307-327, April.
    6. Engle, Robert & Granger, Clive, 2015. "Co-integration and error correction: Representation, estimation, and testing," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 39(3), pages 106-135.
    7. Barry K. Goodwin & Ted C. Schroeder, 1991. "Cointegration Tests and Spatial Price Linkages in Regional Cattle Markets," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 73(2), pages 452-464.
    8. Francesco Goletti & Suresh Babu, 1994. "Market liberalization and integration of maize markets in Malawi," Agricultural Economics, International Association of Agricultural Economists, vol. 11(2-3), pages 311-324, December.
    9. Stefan Dercon, 1995. "On market integration and liberalisation: Method and application to Ethiopia," Journal of Development Studies, Taylor & Francis Journals, vol. 32(1), pages 112-143.
    10. Nasurudeen, P. & Kuruvila, Anil & Sendhil, R. & Chandresekar, V., 2006. "The Dynamics and Inequality of Nutrient Consumption in India," Indian Journal of Agricultural Economics, Indian Society of Agricultural Economics, vol. 61(3), pages 1-12.
    11. Johansen, Soren, 1991. "Estimation and Hypothesis Testing of Cointegration Vectors in Gaussian Vector Autoregressive Models," Econometrica, Econometric Society, vol. 59(6), pages 1551-1580, November.
    12. 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.
    13. Johansen, Soren, 1988. "Statistical analysis of cointegration vectors," Journal of Economic Dynamics and Control, Elsevier, vol. 12(2-3), pages 231-254.
    14. David F. Hendry & Gordon J. Anderson, 1975. "Testing Dynamic Specification in Small Simultaneous Systems: An Application to a Model of Building Society Behavior in the United Kingdom," Cowles Foundation Discussion Papers 398, Cowles Foundation for Research in Economics, Yale University.
    15. de Janvry, Alain & Sadoulet, Eliisabeth, 2009. "The Impact of Rising Food Prices on Household Welfare in India," Department of Agricultural & Resource Economics, UC Berkeley, Working Paper Series qt7xj9n1qq, Department of Agricultural & Resource Economics, UC Berkeley.
    16. Jolejole-Foreman, Maria Christina & Mallory, Mindy L. & Baylis, Katherine R., 2013. "Impact of Wheat and Rice Export Ban on Indian Market Integration," 2013 Annual Meeting, August 4-6, 2013, Washington, D.C. 150595, Agricultural and Applied Economics Association.
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    More about this item

    Keywords

    Price volatility; inflation; price stabilisation measures; WPI;
    All these keywords.

    JEL classification:

    • C10 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - General
    • C5 - Mathematical and Quantitative Methods - - Econometric Modeling
    • C53 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Forecasting and Prediction Models; Simulation Methods
    • C55 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Large Data Sets: Modeling and Analysis

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