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Analytics of Food Inflation in India

Author

Listed:
  • Thangzason Sonna
  • Himanshu Joshi
  • Alice Sebastin
  • Upasana Sharma

Abstract

Food inflation in India has remained stubborn in recent years. A number of proximate factors such as increasing demand particularly arising from higher rural wages, rising agricultural cost of production, changing consumption pattern favoring protein items, increases in minimum support prices (MSPs) and droughts in certain years are believed to have led to higher food inflation. This paper examines the relevance of these factors and finds that increasing real rural wages have played the most dominant role in the determination of overall food inflation in India in the long-run.

Suggested Citation

  • Thangzason Sonna & Himanshu Joshi & Alice Sebastin & Upasana Sharma, 2014. "Analytics of Food Inflation in India," Working Papers id:6174, eSocialSciences.
  • Handle: RePEc:ess:wpaper:id:6174
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    References listed on IDEAS

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    1. Jayatilleke S. Bandara, 2013. "What is Driving India’s Food Inflation? A Survey of Recent Evidence," South Asia Economic Journal, Institute of Policy Studies of Sri Lanka, vol. 14(1), pages 127-156, March.
    2. Kavery Ganguly & Ashok Gulati, 2013. "The Political Economy of Food Price Policy: the Case Study of India," WIDER Working Paper Series wp-2013-034, World Institute for Development Economic Research (UNU-WIDER).
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    Cited by:

    1. Akash Malhotra, 2021. "A hybrid econometric–machine learning approach for relative importance analysis: prioritizing food policy," Eurasian Economic Review, Springer;Eurasia Business and Economics Society, vol. 11(3), pages 549-581, September.
    2. Rahul Anand & Naresh Kumar & Mr. Volodymyr Tulin, 2016. "Understanding India’s Food Inflation: The Role of Demand and Supply Factors," IMF Working Papers 2016/002, International Monetary Fund.
    3. Charan Singh, 2015. "Inflation Targeting in India: Select Issues," Working Papers id:7131, eSocialSciences.
    4. Charan Singh, 2015. "Inflation Targeting India: Select Issues," Working Papers id:7002, eSocialSciences.
    5. Sugandha Huria & Kanika Pathania, 2018. "Dynamics of Food Inflation: Assessing the Role of Intermediaries," Global Business Review, International Management Institute, vol. 19(5), pages 1363-1378, October.
    6. Akash Malhotra, 2018. "A hybrid econometric-machine learning approach for relative importance analysis: Prioritizing food policy," Papers 1806.04517, arXiv.org, revised Aug 2020.
    7. Akash Malhotra & Mayank Maloo, 2017. "Understanding food inflation in India: A Machine Learning approach," Papers 1701.08789, arXiv.org.

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