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Measures, Spatial Profile and Determinants of Dietary Diversity: Evidence from India

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  • Mousumi Das

Abstract

Food security policies in developing countries generally focus on calorie intake, which is not sufficient to tackle the triple burden of malnutrition: undernourishment, micronutrient deficiencies and over-nutrition. Consumption of a diverse diet is important to lessen the burden and is constrained by different factors. This paper using nationally representative dataset from India, analyzes the determinants of dietary diversity, which is measured using the Entropy Index. Heterogeneous dietary diversity profile across adjoining regions highlights the persistence of uneven development in terms of consumption and health indicators. Quantile regression analysis is used to identify the impact of determinants at different parts of the intake distribution. We find that level of consumption expenditure, quality adjusted prices of food items, educational attainment and information dissemination are important factors that affect the household's consumption of a diverse diet. As one moves away from towns dietary diversity improves. Large size landholders need not necessarily consume a diverse diet as expected. Suitable policy interventions are identified. WP-2014-045

Suggested Citation

  • Mousumi Das, 2016. "Measures, Spatial Profile and Determinants of Dietary Diversity: Evidence from India," Working Papers id:10700, eSocialSciences.
  • Handle: RePEc:ess:wpaper:id:10700
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    Cited by:

    1. is not listed on IDEAS
    2. Mousumi Das & Ajay Sharma & Suresh Chandra Babu, 2018. "Pathways from agriculture-to-nutrition in India: implications for sustainable development goals," Food Security: The Science, Sociology and Economics of Food Production and Access to Food, Springer;The International Society for Plant Pathology, vol. 10(6), pages 1561-1576, December.
    3. World Bank Group, 2017. "Republic of Malawi Poverty Assessment," World Bank Publications - Reports 26488, The World Bank Group.
    4. Kumar, A. & Saroj, S & Singh, R.K.P. & Jee, S., 2016. "Agricultural Diversity, Dietary Diversity and Nutritional," Agricultural Economics Research Review, Agricultural Economics Research Association (India), vol. 29(Conferenc).

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    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
    • O10 - Economic Development, Innovation, Technological Change, and Growth - - Economic Development - - - General
    • Q18 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Agriculture - - - Agricultural Policy; Food Policy; Animal Welfare Policy

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