Food expenditures, influenced by social, demographic, and economic factors, constitute a significant proportion of the typical rural Indian's household income. Based on cross-sectional household data, this study employs the Quadratic Almost Ideal Demand System to estimate food demand among rural Indian households. Special attention is given to the rural household's two-stage budgeting in total food expenditure and then to a demand for a specific food item. Conditional and unconditional expenditure and price elasticities for seven food groups are estimated. Results indicate that own-price elasticities for each group are negative ranging from fairly inelastic to elastic range. Expenditure elasticities indicate that food items are a normal necessity to luxury goods. Additionally, socio-demographic factors play a significant role in food consumption patterns. Based on our unconditional expenditure elasticities, we also project food demand from rural Indian households for next two decades. Les dépenses alimentaires, qui sont influencées par des facteurs socioéconomiques et démographiques, absorbent une partie considérable du revenu des ménages ruraux typiques en Inde. Dans la présente étude, nous avons utilisé le modèle de demande quasi idéal quadratique pour estimer, à l'aide de données transversales sur les ménages, la demande alimentaire des ménages ruraux en Inde. Nous avons accordé une attention spéciale à la budgétisation en deux étapes des dépenses alimentaires totales et à la demande d'un produit alimentaire particulier du ménage rural. Nous avons estimé les dépenses conditionnelles et inconditionnelles et l’élasticité-prix de sept groupes alimentaires. Les résultats de notre étude indiquent que l’élasticité-prix de chaque groupe est négative et qu'elle varie de plutôt inélastique à divers degrés d’élasticité. L’élasticité des dépenses indique que les produits alimentaires varient de nécessités de base à produits de luxe. Les facteurs sociodémographiques jouent également un rôle important dans les habitudes de consommation alimentaire. D'après les élasticités des dépenses établies dans notre étude, nous avons estimé la demande alimentaire des ménages ruraux en Inde pour les deux prochaines décennies."> Food expenditures, influenced by social, demographic, and economic factors, constitute a significant proportion of the typical rural Indian's household income. Based on cross-sectional household data, this study employs the Quadratic Almost Ideal Demand System to estimate food demand among rural Indian households. Special attention is given to the rural household's two-stage budgeting in total food expenditure and then to a demand for a specific food item. Conditional and unconditional expenditure and price elasticities for seven food groups are estimated. Results indicate that own-price elasticities for each group are negative ranging from fairly inelastic to elastic range. Expenditure elasticities indicate that food items are a normal necessity to luxury goods. Additionally, socio-demographic factors play a significant role in food consumption patterns. Based on our unconditional expenditure elasticities, we also project food demand from rural Indian households for next two decades. Les dépenses alimentaires, qui sont influencées par des facteurs socioéconomiques et démographiques, absorbent une partie considérable du revenu des ménages ruraux typiques en Inde. Dans la présente étude, nous avons utilisé le modèle de demande quasi idéal quadratique pour estimer, à l'aide de données transversales sur les ménages, la demande alimentaire des ménages ruraux en Inde. Nous avons accordé une attention spéciale à la budgétisation en deux étapes des dépenses alimentaires totales et à la demande d'un produit alimentaire particulier du ménage rural. Nous avons estimé les dépenses conditionnelles et inconditionnelles et l’élasticité-prix de sept groupes alimentaires. Les résultats de notre étude indiquent que l’élasticité-prix de chaque groupe est négative et qu'elle varie de plutôt inélastique à divers degrés d’élasticité. L’élasticité des dépenses indique que les produits alimentaires varient de nécessités de base à produits de luxe. Les facteurs sociodémographiques jouent également un rôle important dans les habitudes de consommation alimentaire. D'après les élasticités des dépenses établies dans notre étude, nous avons estimé la demande alimentaire des ménages ruraux en Inde pour les deux prochaines décennies."> Food expenditures, influenced by social, demographic, and economic factors, constitute a significant proportion of the typical rural Indian's household income. Based on cross-s">
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Heterogeneity in Food Demand among Rural Indian Households: The Role of Demographics

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  • Aditya R. Khanal
  • Ashok K. Mishra
  • Walter Keithly
Abstract
type="main"> Food expenditures, influenced by social, demographic, and economic factors, constitute a significant proportion of the typical rural Indian's household income. Based on cross-sectional household data, this study employs the Quadratic Almost Ideal Demand System to estimate food demand among rural Indian households. Special attention is given to the rural household's two-stage budgeting in total food expenditure and then to a demand for a specific food item. Conditional and unconditional expenditure and price elasticities for seven food groups are estimated. Results indicate that own-price elasticities for each group are negative ranging from fairly inelastic to elastic range. Expenditure elasticities indicate that food items are a normal necessity to luxury goods. Additionally, socio-demographic factors play a significant role in food consumption patterns. Based on our unconditional expenditure elasticities, we also project food demand from rural Indian households for next two decades. Les dépenses alimentaires, qui sont influencées par des facteurs socioéconomiques et démographiques, absorbent une partie considérable du revenu des ménages ruraux typiques en Inde. Dans la présente étude, nous avons utilisé le modèle de demande quasi idéal quadratique pour estimer, à l'aide de données transversales sur les ménages, la demande alimentaire des ménages ruraux en Inde. Nous avons accordé une attention spéciale à la budgétisation en deux étapes des dépenses alimentaires totales et à la demande d'un produit alimentaire particulier du ménage rural. Nous avons estimé les dépenses conditionnelles et inconditionnelles et l’élasticité-prix de sept groupes alimentaires. Les résultats de notre étude indiquent que l’élasticité-prix de chaque groupe est négative et qu'elle varie de plutôt inélastique à divers degrés d’élasticité. L’élasticité des dépenses indique que les produits alimentaires varient de nécessités de base à produits de luxe. Les facteurs sociodémographiques jouent également un rôle important dans les habitudes de consommation alimentaire. D'après les élasticités des dépenses établies dans notre étude, nous avons estimé la demande alimentaire des ménages ruraux en Inde pour les deux prochaines décennies.

Suggested Citation

  • Aditya R. Khanal & Ashok K. Mishra & Walter Keithly, 2016. "Heterogeneity in Food Demand among Rural Indian Households: The Role of Demographics," Canadian Journal of Agricultural Economics/Revue canadienne d'agroeconomie, Canadian Agricultural Economics Society/Societe canadienne d'agroeconomie, vol. 64(3), pages 517-544, September.
  • Handle: RePEc:bla:canjag:v:64:y:2016:i:3:p:517-544
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    1. Blundell, Richard & Robin, Jean Marc, 1999. "Estimation in Large and Disaggregated Demand Systems: An Estimator for Conditionally Linear Systems," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 14(3), pages 209-232, May-June.
    2. Wyatt Thompson, 2004. "Using Elasticities from an Almost Ideal Demand System? Watch Out for Group Expenditure!," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 86(4), pages 1108-1116.
    3. Bronte-Tinkew, Jacinta & DeJong, Gordon, 2004. "Children's nutrition in Jamaica: do household structure and household economic resources matter?," Social Science & Medicine, Elsevier, vol. 58(3), pages 499-514, February.
    4. David L. Edgerton, 1997. "Weak Separability and the Estimation of Elasticities in Multistage Demand Systems," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 79(1), pages 62-79.
    5. Alain Carpentier & Hervé Guyomard, 2001. "Unconditional Elasticities in Two-Stage Demand Systems: An Approximate Solution," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 83(1), pages 222-229.
    6. Brian P. Poi, 2012. "Easy demand-system estimation with quaids," Stata Journal, StataCorp LP, vol. 12(3), pages 433-446, September.
    7. J. V. Meenakshi & Ranjan Ray, 1999. "Regional differences in India's food expenditure pattern: a complete demand systems approach," Journal of International Development, John Wiley & Sons, Ltd., vol. 11(1), pages 47-74.
    8. Angus Deaton & Jean Dreze, 2002. "Poverty and Inequality in India: A Re-Examination," Working Papers 184, Princeton University, Woodrow Wilson School of Public and International Affairs, Research Program in Development Studies..
    9. Deaton, Angus S & Muellbauer, John, 1980. "An Almost Ideal Demand System," American Economic Review, American Economic Association, vol. 70(3), pages 312-326, June.
    10. Udry, Christopher & Hoddinott, John & Alderman, Harold & Haddad, Lawrence, 1995. "Gender differentials in farm productivity: implications for household efficiency and agricultural policy," Food Policy, Elsevier, vol. 20(5), pages 407-423, October.
    11. J. A. L. Cranfield & James S. Eales & Thomas W. Hertel & Paul V. Preckel, 2003. "Model selection when estimating and predicting consumer demands using international, cross section data," Empirical Economics, Springer, vol. 28(2), pages 353-364, April.
    12. Edgerton, David L., 1993. "On The Estimation Of Separable Demand Models," Journal of Agricultural and Resource Economics, Western Agricultural Economics Association, vol. 18(2), pages 1-6, December.
    13. Brian P. Poi, 2008. "Demand-system estimation: Update," Stata Journal, StataCorp LP, vol. 8(4), pages 554-556, December.
    14. Kumar, Praduman & Joshi, P.K. & Birthal, Pratap Singh, 2009. "Demand Projections for Foodgrains in India," Agricultural Economics Research Review, Agricultural Economics Research Association (India), vol. 22(2), July.
    15. Dyson, Tim & Cassen, Robert & Visaria, Leela, 2005. "Twenty-First Century India: Population, Economy, Human Development, and the Environment," OUP Catalogue, Oxford University Press, number 9780199283828.
    16. Ray, Ranjan, 1983. "Measuring the costs of children : An alternative approach," Journal of Public Economics, Elsevier, vol. 22(1), pages 89-102, October.
    17. James Banks & Richard Blundell & Arthur Lewbel, 1997. "Quadratic Engel Curves And Consumer Demand," The Review of Economics and Statistics, MIT Press, vol. 79(4), pages 527-539, November.
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    2. Bairagi, Subir & Bhandari, Humnath & Kumar Das, Subrata & Mohanty, Samarendu, 2021. "Flood-tolerant rice improves climate resilience, profitability, and household consumption in Bangladesh," Food Policy, Elsevier, vol. 105(C).
    3. Regmi, Madhav & Featherstone, Allen M., 2017. "Farm Households Consumption Heterogeneity And Rural Business Dynamics," 2017 Annual Meeting, February 4-7, 2017, Mobile, Alabama 252755, Southern Agricultural Economics Association.
    4. Alwin D'Souza & Ashok K. Mishra & Stefan Hirsch, 2020. "Enhancing food security through diet quality: The role of nonfarm work in rural India," Agricultural Economics, International Association of Agricultural Economists, vol. 51(1), pages 95-110, January.
    5. Bairagi, Subir & Mohanty, Samarendu & Baruah, Sampriti & Trinh Thi, Huong, 2020. "Changing food consumption patterns in rural and urban Vietnam: Implications for a future food supply system," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 64(3), July.
    6. Kumar, Anjani & Mishra, Ashok K. & Saroj, Sunil & Joshi, P.K., 2019. "Impact of traditional versus modern dairy value chains on food security: Evidence from India’s dairy sector," Food Policy, Elsevier, vol. 83(C), pages 260-270.

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