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Quantile Regression Analysis of Predictors of Calorie Demand in India: An Implication for Sustainable Development Goals

Author

Listed:
  • Biswabhusan Bhuyan

    (Indian Institute of Technology Kharagpur)

  • Bimal Kishore Sahoo

    (Indian Institute of Technology Kharagpur)

  • Damodar Suar

    (Indian Institute of Technology Kharagpur)

Abstract

This study examined predictors of households’ calorie demand using consumer expenditure survey data during the time frame of millennium development goals. It draws suggestions for achieving sustainable development goals to eliminate calorie-poverty. We used the log of per-capita calorie intake as the calorie demand. Endogeneity corrected quantile regression was applied to examine the distributional effect of predictors. Findings revealed calorie-monthly per-capita consumption expenditure (MPCE) elasticities were positively statistically significant across quantiles in rural-and urban-areas, but, contrary to traditional wisdom, elasticities are lower for calorie-poor than calorie-rich households. Dietary diversification of food items, relative food price, and share of medical-and education-expenditure were the main adverse drivers of calorie demand. Our results are robust to the under-reporting and measurement error. The policy implications are: (a) only focusing on pro-poor income enhancing strategies will not able to reduce calorie deprivation, it should be backed by imparting awareness about food choice and nutritional value of low price food items, (b) to implement necessary policy to maintain stable food inflation and effectively targeted food subsidy for calorie poor, (c) to adopt forward-looking medical-and education-policy such as free health and education facilities to all by enhancing public spending to revive the quality of public hospitals and educational institutions.

Suggested Citation

  • Biswabhusan Bhuyan & Bimal Kishore Sahoo & Damodar Suar, 2020. "Quantile Regression Analysis of Predictors of Calorie Demand in India: An Implication for Sustainable Development Goals," Journal of Quantitative Economics, Springer;The Indian Econometric Society (TIES), vol. 18(4), pages 825-859, December.
    • Handle: RePEc:spr:jqecon:v:18:y:2020:i:4:d:10.1007_s40953-020-00200-4
    DOI: 10.1007/s40953-020-00200-4
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    as
    1. ,, 2001. "Problems And Solutions," Econometric Theory, Cambridge University Press, vol. 17(6), pages 1157-1160, December.
    2. Jikun Huang & Cristina C. David, 1993. "Demand for cereal grains in Asia: the effect of urbanization," Agricultural Economics, International Association of Agricultural Economists, vol. 8(2), pages 107-124, February.
    3. Esther Duflo, 2003. "Grandmothers and Granddaughters: Old-Age Pensions and Intrahousehold Allocation in South Africa," The World Bank Economic Review, World Bank, vol. 17(1), pages 1-25, June.
    4. Marta Kozicka & Matthias Kalkuhl & Jan Brockhaus, 2017. "Food Grain Policies in India and their Implications for Stocks and Fiscal Costs: A Dynamic Partial Equilibrium Analysis," Journal of Agricultural Economics, Wiley Blackwell, vol. 68(1), pages 98-122, February.
    5. Raghav Gaiha & Nidhi Kaicker & Katsushi Imai & Vani S. Kulkarni & Ganesh Thapa, 2012. "Has Dietary Transition Slowed Down in India: An analysis based on 50th, 61st and 66th Rounds of NSS," ASARC Working Papers 2012-07, The Australian National University, Australia South Asia Research Centre.
    6. Abdulai, Awudu & Aubert, Dominique, 2004. "Nonparametric and parametric analysis of calorie consumption in Tanzania," Food Policy, Elsevier, vol. 29(2), pages 113-129, April.
    7. John Gibson, 2016. "Poverty Measurement: We Know Less than Policy Makers Realize," Asia and the Pacific Policy Studies, Wiley Blackwell, vol. 3(3), pages 430-442, September.
    8. Abhijit Banerjee & Sendhil Mullainathan, 2010. "The Shape of Temptation: Implications for the Economic Lives of the Poor," Working Papers id:2484, eSocialSciences.
    9. Subramanian, Shankar & Deaton, Angus, 1996. "The Demand for Food and Calories," Journal of Political Economy, University of Chicago Press, vol. 104(1), pages 133-162, February.
    10. Duncan Thomas, 1990. "Intra-Household Resource Allocation: An Inferential Approach," Journal of Human Resources, University of Wisconsin Press, vol. 25(4), pages 635-664.
    11. M. H. Suryanarayana & Dimitri Silva, 2007. "Is Targeting the Poor a Penalty on the Food Insecure? Poverty and Food Insecurity in India," Journal of Human Development and Capabilities, Taylor & Francis Journals, vol. 8(1), pages 89-107.
    12. J. Gibson & S. Rozelle, 2002. "How Elastic is Calorie Demand? Parametric, Nonparametric, and Semiparametric Results for Urban Papua New Guinea," Journal of Development Studies, Taylor & Francis Journals, vol. 38(6), pages 23-46.
    13. George Psacharopoulos & Harry Anthony Patrinos, 2004. "Returns to investment in education: a further update," Education Economics, Taylor & Francis Journals, vol. 12(2), pages 111-134.
    14. Andrews,Donald W. K. & Stock,James H. (ed.), 2005. "Identification and Inference for Econometric Models," Cambridge Books, Cambridge University Press, number 9780521844413.
    15. Josephine Duh & Dean Spears, 2017. "Health and Hunger: Disease, Energy Needs, and The Indian Calorie Consumption Puzzle," Economic Journal, Royal Economic Society, vol. 127(606), pages 2378-2409.
    16. Jeffrey M Wooldridge, 2010. "Econometric Analysis of Cross Section and Panel Data," MIT Press Books, The MIT Press, edition 2, volume 1, number 0262232588, December.
    17. Raghbendra Jha & Raghav Gaiha & Anurag Sharma, 2009. "Modelling variety in consumption expenditure on food in India," International Review of Applied Economics, Taylor & Francis Journals, vol. 23(4), pages 503-519.
    18. Mahadevan, Renuka & Suardi, Sandy, 2013. "Is there a role for caste and religion in food security policy? A look at rural India," Economic Modelling, Elsevier, vol. 31(C), pages 58-69.
    19. Deepankar Basu & Amit Basole, 2013. "An Empirical Investigation of the Calorie Consumption Puzzle in India," Working Papers 2013_03, University of Massachusetts Boston, Economics Department.
    20. Abhijit V. Banerjee & Esther Duflo, 2007. "The Economic Lives of the Poor," Journal of Economic Perspectives, American Economic Association, vol. 21(1), pages 141-168, Winter.
    21. Angus Deaton & Christina Paxson, 1998. "Economies of Scale, Household Size, and the Demand for Food," Journal of Political Economy, University of Chicago Press, vol. 106(5), pages 897-930, October.
    22. Mick Silver & Saeed Heravi, 2003. "The Measurement of Quality-Adjusted Price Changes," NBER Chapters, in: Scanner Data and Price Indexes, pages 277-316, National Bureau of Economic Research, Inc.
    23. Ravallion, Martin, 1990. "Income Effects on Undernutrition," Economic Development and Cultural Change, University of Chicago Press, vol. 38(3), pages 489-515, April.
    24. Arvind Panagariya & Megha Mukim, 2014. "A Comprehensive Analysis of Poverty in India," Asian Development Review, MIT Press, vol. 31(1), pages 1-52, March.
    25. World Bank, 2017. "World Development Indicators 2017," World Bank Publications - Books, The World Bank Group, number 26447, December.
    26. Bouis, Howarth E. & Haddad, Lawrence J., 1992. "Are estimates of calorie-income fxelasticities too high? : A recalibration of the plausible range," Journal of Development Economics, Elsevier, vol. 39(2), pages 333-364, October.
    27. Josephine Duh & Dean Spears, 2017. "Health and Hunger: Disease, Energy Needs, and the Indian Calorie Consumption Puzzle," Economic Journal, Royal Economic Society, vol. 127(606), pages 2378-2409, November.
    28. Bhuyan, Biswabhusan & Sahoo, Bimal Kishore & Suar, Damodar, 2020. "Nutritional status, poverty, and relative deprivation among socio-economic and gender groups in India: Is the growth inclusive?," World Development Perspectives, Elsevier, vol. 18(C).
    29. Michelle A. Mendez & Barry M. Popkin, 2004. "Globalization, Urbanization and Nutritional Change in the Developing World," The Electronic Journal of Agricultural and Development Economics, Food and Agriculture Organization of the United Nations, vol. 1(2), pages 220-241.
    30. Basole, Amit & Basu, Deepankar, 2015. "Fuelling Calorie Intake Decline: Household-Level Evidence from Rural India," World Development, Elsevier, vol. 68(C), pages 82-95.
    31. Patricio S. Dalton & Sayantan Ghosal & Anandi Mani, 2016. "Poverty and Aspirations Failure," Economic Journal, Royal Economic Society, vol. 126(590), pages 165-188, February.
    32. repec:mab:wpaper:16 is not listed on IDEAS
    33. ,, 2001. "Problems And Solutions," Econometric Theory, Cambridge University Press, vol. 17(5), pages 1025-1031, October.
    34. Mehtabul Azam, 2016. "Private Tutoring: Evidence from India," Review of Development Economics, Wiley Blackwell, vol. 20(4), pages 739-761, November.
    35. Aromolaran, Adebayo B., 2004. "Household income, women's income share and food calorie intake in South Western Nigeria," Food Policy, Elsevier, vol. 29(5), pages 507-530, October.
    36. Moshe Buchinsky, 1998. "The dynamics of changes in the female wage distribution in the USA: a quantile regression approach," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 13(1), pages 1-30.
    37. Behrman, Jere R & Deolalikar, Anil B, 1987. "Will Developing Country Nutrition Improve with Income? A Case Study for Rural South India," Journal of Political Economy, University of Chicago Press, vol. 95(3), pages 492-507, June.
    38. Bouis, Howarth E., 1994. "The effect of income on demand for food in poor countries: Are our food consumption databases giving us reliable estimates?," Journal of Development Economics, Elsevier, vol. 44(1), pages 199-226, June.
    39. Koenker, Roger W & Bassett, Gilbert, Jr, 1978. "Regression Quantiles," Econometrica, Econometric Society, vol. 46(1), pages 33-50, January.
    40. Sharma, Smriti, 2015. "Caste-based crimes and economic status: Evidence from India," Journal of Comparative Economics, Elsevier, vol. 43(1), pages 204-226.
    41. Shoichi Ito & E. Wesley F. Peterson & Warren R. Grant, 1989. "Rice in Asia: Is It Becoming an Inferior Good?," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 71(1), pages 32-42.
    42. Abdulai, Awudu & Aubert, Dominique, 2004. "A cross-section analysis of household demand for food and nutrients in Tanzania," Agricultural Economics, Blackwell, vol. 31(1), pages 67-79, July.
    43. Faridi, Rushad & Wadood, Syed Naimul, 2010. "An Econometric Assessment of Household Food Security in Bangladesh," Bangladesh Development Studies, Bangladesh Institute of Development Studies (BIDS), vol. 33(3), pages 97-111, September.
    44. Breusch, T S & Pagan, A R, 1979. "A Simple Test for Heteroscedasticity and Random Coefficient Variation," Econometrica, Econometric Society, vol. 47(5), pages 1287-1294, September.
    45. Buchinsky, Moshe, 1995. "Estimating the asymptotic covariance matrix for quantile regression models a Monte Carlo study," Journal of Econometrics, Elsevier, vol. 68(2), pages 303-338, August.
    46. Rao, Nitya, 2006. "Land rights, gender equality and household food security: Exploring the conceptual links in the case of India," Food Policy, Elsevier, vol. 31(2), pages 180-193, April.
    47. Shelly J. Lundberg & Robert A. Pollak & Terence J. Wales, 1997. "Do Husbands and Wives Pool Their Resources? Evidence from the United Kingdom Child Benefit," Journal of Human Resources, University of Wisconsin Press, vol. 32(3), pages 463-480.
    48. Cragg, John G. & Donald, Stephen G., 1993. "Testing Identifiability and Specification in Instrumental Variable Models," Econometric Theory, Cambridge University Press, vol. 9(2), pages 222-240, April.
    49. Smith, Lisa C., 2015. "The great Indian calorie debate: Explaining rising undernourishment during India’s rapid economic growth," Food Policy, Elsevier, vol. 50(C), pages 53-67.
    50. Behrman, Jere R. & Wolfe, Barbara L., 1984. "More evidence on nutrition demand : Income seems overrated and women's schooling underemphasized," Journal of Development Economics, Elsevier, vol. 14(1), pages 105-128.
    51. Franque Grimard, 1996. "Does the Poor’s Consumption of Calories Respond to Changes in Income? Evidence from Pakistan," The Pakistan Development Review, Pakistan Institute of Development Economics, vol. 35(3), pages 257-283.
    52. Chand, Ramesh & Jumrani, Jaya, 2013. "Food Security and Undernourishment in India: Assessment of Alternative Norms and the Income Effect," Indian Journal of Agricultural Economics, Indian Society of Agricultural Economics, vol. 68(1), pages 1-15.
    53. Behrman, Jere R & Deolalikar, Anil B, 1989. "Is Variety the Spice of Life? Implications for Calorie Intake," The Review of Economics and Statistics, MIT Press, vol. 71(4), pages 666-672, November.
    54. Shari Eli & Nicholas Li, 2015. "Caloric Requirements and Food Consumption Patterns of the Poor," NBER Working Papers 21697, National Bureau of Economic Research, Inc.
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