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Demand for nutrients in India: 1993 to 2004

Author

Listed:
  • Raghav Gaiha
  • Raghbendra Jha
  • Vani Kulkarni

Abstract

In response to the Deaton and Dreze (2009) explanation of a downward shift in the calorie Engel curve in terms of lower requirements due to health improvements and lower activity levels in India, we develop an alternative explanation embedded in a standard demand theory framework, with food prices and expenditure (as a proxy for income) cast in a pivotal role. We find robust food price and expenditure effects and shifting food price elasticities. There are shifts in demands due to factors other than lower requirements. So, while the Deaton and Dreze (2009) explanation is not rejected, it is arguable that it is complementary to the demand based explanations.

Suggested Citation

  • Raghav Gaiha & Raghbendra Jha & Vani Kulkarni, 2013. "Demand for nutrients in India: 1993 to 2004," Applied Economics, Taylor & Francis Journals, vol. 45(14), pages 1869-1886, May.
    • Handle: RePEc:taf:applec:45:y:2013:i:14:p:1869-1886
    DOI: 10.1080/00036846.2011.639744
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    References listed on IDEAS

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    1. Pitt, Mark M, 1983. "Food Preferences and Nutrition in Rural Bangladesh," The Review of Economics and Statistics, MIT Press, vol. 65(1), pages 105-114, February.
    2. Behrman, Jere R. & Deolalikar, Anil B., 1988. "Health and nutrition," Handbook of Development Economics, in: Hollis Chenery & T.N. Srinivasan (ed.), Handbook of Development Economics, edition 1, volume 1, chapter 14, pages 631-711, Elsevier.
    3. Pitt, Mark M & Rosenzweig, Mark R, 1985. "Health and Nutrient Consumption across and within Farm Households," The Review of Economics and Statistics, MIT Press, vol. 67(2), pages 212-223, May.
    Full references (including those not matched with items on IDEAS)

    Citations

    Blog mentions

    As found by EconAcademics.org, the blog aggregator for Economics research:
    1. Indian calorie intakes decline despite rising incomes
      by Raghbendra Jha in East Asia Forum on 2010-09-07 05:12:25

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    Cited by:

    1. Jumrani, Jaya, 2023. "How responsive are nutrients in India? Some recent evidence," Food Policy, Elsevier, vol. 114(C).
    2. Nadia Shabnam & Fabio Gaetano Santeramo & Zahid Asghar & Antonio Seccia, 2016. "The Impact of Food Price Crises on the Demand for Nutrients in Pakistan," Journal of South Asian Development, , vol. 11(3), pages 305-327, December.
    3. McCullough, Ellen & Zhen, Chen & Shin, Soye & Lu, Meichen & Arsenault, Joanne, 2022. "The role of food preferences in determining diet quality for Tanzanian consumers," Journal of Development Economics, Elsevier, vol. 155(C).
    4. Indranil Dutta & Shruti Kapoor & Prasanta K. Pattanaik, 2020. "Nutrient consumption in India: Evidence from a village study," Review of Development Economics, Wiley Blackwell, vol. 24(3), pages 855-877, August.
    5. Headey, Derek & Chiu, Alice & Kadiyala, Suneetha, 2011. "Agriculture's role in the Indian enigma: Help or hindrance to the undernutrition crisis?," IFPRI discussion papers 1085, International Food Policy Research Institute (IFPRI).
    6. Jaya Jumrani & J. V. Meenakshi, 2023. "How effective is a fat subsidy? Evidence from edible oil consumption in India," Journal of Agricultural Economics, Wiley Blackwell, vol. 74(2), pages 327-348, June.
    7. Nidhi Kaicker & Vani S. Kulkarni & Raghav Gaiha, 2011. "Dietary Transition in India: An Analysis Based on NSS Data for 1993 and 2004," ASARC Working Papers 2011-10, The Australian National University, Australia South Asia Research Centre.
    8. 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.
    9. Raghbendra Jha, 2018. "India's Long Road: The Search for Prosperity," The Economic Record, The Economic Society of Australia, vol. 94(305), pages 207-209, June.

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    More about this item

    JEL classification:

    • C21 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Cross-Sectional Models; Spatial Models; Treatment Effect Models
    • D12 - Microeconomics - - Household Behavior - - - Consumer Economics: Empirical Analysis
    • I31 - Health, Education, and Welfare - - Welfare, Well-Being, and Poverty - - - General Welfare, Well-Being
    • I32 - Health, Education, and Welfare - - Welfare, Well-Being, and Poverty - - - Measurement and Analysis of Poverty

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