IDEAS home Printed from https://ideas.repec.org/a/wly/jintdv/v11y1999i1p47-74.html
   My bibliography  Save this article

Regional differences in India's food expenditure pattern: a complete demand systems approach

Author

Listed:
  • J. V. Meenakshi

    (Department of Economics, Delhi School of Economics, Delhi University, Delhi, India)

  • Ranjan Ray

    (School of Economics, University of Tasmania, Hobart, Tasmania, Australia)

Abstract

This paper analyses India's food expenditure recognizing regional differences in preferences and prices. The results reveal large regional differences in expenditure pattern implying that nutrient enhancing programmes must recognize this diversity. Household composition is an important determinant of consumption, though the nature of demographic impact varies across regions. The popular AIDS yields biased elasticity estimates, especially for cereals, making its use inappropriate in developing countries. In policy applications, choice of a general demand system is important in evaluating the impact of price and income changes on basic consumption, and in designing optimal tax systems, but not necessarily in evaluating tax reforms. Copyright © 1999 John Wiley & Sons, Ltd.

Suggested Citation

  • 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.
    • Handle: RePEc:wly:jintdv:v:11:y:1999:i:1:p:47-74
    DOI: 10.1002/(SICI)1099-1328(199901/02)11:1<47::AID-JID549>3.0.CO;2-Y
    as

    Download full text from publisher

    To our knowledge, this item is not available for download. To find whether it is available, there are three options:
    1. Check below whether another version of this item is available online.
    2. Check on the provider's web page whether it is in fact available.
    3. Perform a search for a similarly titled item that would be available.

    Other versions of this item:

    References listed on IDEAS

    as
    1. Ahmad, Ehtisham & Stern, Nicholas, 1984. "The theory of reform and indian indirect taxes," Journal of Public Economics, Elsevier, vol. 25(3), pages 259-298, December.
    2. repec:bla:ecorec:v:70:y:1994:i:210:p:278-91 is not listed on IDEAS
    3. Jorgenson, Dale W & Slesnick, Daniel T, 1987. "Aggregate Consumer Behavior and Household Equivalence Scales," Journal of Business & Economic Statistics, American Statistical Association, vol. 5(2), pages 219-232, April.
    4. Ray, Ranjan, 1986. "Sensitivity of `optimal' commodity tax rates to alternative demand functional forms : An econometric case study of India," Journal of Public Economics, Elsevier, vol. 31(2), pages 253-268, November.
    5. Dickens, Richard & Fry, Vanessa & Pashardes, Panos, 1993. "Non-linearities and Equivalence Scales," Economic Journal, Royal Economic Society, vol. 103(417), pages 359-368, March.
    6. Ray, Ranjan, 1985. "A dynamic analysis of expenditure patterns in rural India," Journal of Development Economics, Elsevier, vol. 19(3), pages 283-297, December.
    7. Ray, Ranjan, 1996. "Demographic Variables in Demand Systems: The Case for Generality," Empirical Economics, Springer, vol. 21(2), pages 307-315.
    8. Srikanta Chatterjee & Claudio Michelini & Ranjan Ray, 1994. "Expenditure Patterns and Aggregate Consumer Behaviour: Some Experiments with Australian and New Zealand Data," The Economic Record, The Economic Society of Australia, vol. 70(210), pages 278-291, September.
    9. Coondoo, Dipankor & Majumder, Amita, 1987. "A System of Demand Equations Based on Price Independent Generalized Linearity," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 28(1), pages 213-228, February.
    10. Pollak, Robert A & Wales, Terence J, 1981. "Demographic Variables in Demand Analysis," Econometrica, Econometric Society, vol. 49(6), pages 1533-1551, November.
    11. repec:bla:scandj:v:91:y:1989:i:4:p:655-70 is not listed on IDEAS
    12. Nelson, Julie A, 1988. "Household Economies of Scale in Consumption: Theory and Evidence," Econometrica, Econometric Society, vol. 56(6), pages 1301-1314, November.
    13. Ray, Ranjan, 1983. "Measuring the costs of children : An alternative approach," Journal of Public Economics, Elsevier, vol. 22(1), pages 89-102, October.
    14. Muellbauer, John, 1977. "Testing the Barten Model of Household Composition Effects and the Cost of Children," Economic Journal, Royal Economic Society, vol. 87(347), pages 460-487, September.
    15. Blundell, Richard & Pashardes, Panos & Weber, Guglielmo, 1993. "What Do We Learn About Consumer Demand Patterns from Micro Data?," American Economic Review, American Economic Association, vol. 83(3), pages 570-597, June.
    16. Ray, Ranjan, 1980. "Analysis of a Time Series of Household Expenditure Surveys for India," The Review of Economics and Statistics, MIT Press, vol. 62(4), pages 595-602, November.
    17. Deaton, Angus S & Muellbauer, John, 1980. "An Almost Ideal Demand System," American Economic Review, American Economic Association, vol. 70(3), pages 312-326, June.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Meenakshi, J. V. & Ray, Ranjan, 2002. "Impact of household size and family composition on poverty in rural India," Journal of Policy Modeling, Elsevier, vol. 24(6), pages 539-559, October.
    2. Kumar, Praduman & Dey, Madan Mohan & Paraguas, Ferdinand J., 2005. "Demand for Fish by Species in India: Three-stage Budgeting Framework," Agricultural Economics Research Review, Agricultural Economics Research Association (India), vol. 18(2), July.
    3. 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.
    4. Fiedler, John L. & Mwangi, Dena M., 2016. "Improving household consumption and expenditure surveys’ food consumption metrics: Developing a strategic approach to the unfinished agenda:," IFPRI discussion papers 1570, International Food Policy Research Institute (IFPRI).
    5. Nayana Raju & Ganga Devi & Meera Padaliya, 2023. "Consumption pattern and demand forecasting of coarse cereals in Gujarat, India," SN Business & Economics, Springer, vol. 3(3), pages 1-19, March.
    6. Mwangi, Dena M. & Fiedler, John L. & Sununtnasuk, Celeste, 2017. "Imputing nutrient intake from foods prepared and consumed away from home and other composite foods: Exploring extensions of the Subramanian–Deaton cost per calorie approach," IFPRI discussion papers 1596, International Food Policy Research Institute (IFPRI).
    7. Gandhi, Vasant P., 2021. "Indian Agriculture at a Critical Crossroad: Change and Transformation Needed for a Brighter Future," Indian Journal of Agricultural Economics, Indian Society of Agricultural Economics, vol. 0(Number 1), March.
    8. Mohamed Amara & Hatem Jemmali, 2018. "Household and Contextual Indicators of Poverty in Tunisia: A Multilevel Analysis," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 137(1), pages 113-138, May.
    9. Kaicker, Nidhi & Gupta, Aashi & Gaiha, Raghav, 2022. "Covid-19 pandemic and food security in India: Can authorities alleviate the disproportionate burden on the disadvantaged?," Journal of Policy Modeling, Elsevier, vol. 44(5), pages 963-980.
    10. Puja Guha, 2004. "HABIT FORMATION IN CONSUMPTION: A Case Study of Rural India," Econometrics 0412012, University Library of Munich, Germany.
    11. Surabhi Mittal, 2010. "Application of the Quaids Model to the Food Sector in India," Journal of Quantitative Economics, The Indian Econometric Society, vol. 8(1), pages 42-54, January.
    12. Don J. DeVoretz & Florin P. Vadean, 2008. "Cultural Differences in the Remittance Behaviour of Households: Evidence from Canadian Micro Data," Studies in Economics 0814, School of Economics, University of Kent.
    13. Abiodun Elijah Obayelu & V.O. Okoruwa & O.I.Y. Ajani, 2009. "Cross‐sectional analysis of food demand in the North Central, Nigeria," China Agricultural Economic Review, Emerald Group Publishing Limited, vol. 1(2), pages 173-193, January.
    14. Fiedler, John L. & Mwangi, Dena M., 2016. "Using household consumption and expenditure surveys to make inferences about food consumption, nutrient intakes and nutrition status: How important is it to adjust for meal partakers?," IFPRI discussion papers 1571, International Food Policy Research Institute (IFPRI).
    15. Pachauri, Shonali, 2004. "An analysis of cross-sectional variations in total household energy requirements in India using micro survey data," Energy Policy, Elsevier, vol. 32(15), pages 1723-1735, October.
    16. Xin Gu & Zhang-Yue Zhou & Yan-Rui Wu, 2019. "Understanding China’S Urban Consumption Patterns: New Estimates And Implications," The Singapore Economic Review (SER), World Scientific Publishing Co. Pte. Ltd., vol. 64(04), pages 961-981, September.
    17. Vijay Paul Sharma & Dinesh Jain, 2011. "High-Value Agriculture in India: Past Trends and Future Prospects," Working Papers id:4374, eSocialSciences.
    18. Surabhi Mittal, 2006. "Structural Shift in Demand for Food: Projections for 2020," Indian Council for Research on International Economic Relations, New Delhi Working Papers 184, Indian Council for Research on International Economic Relations, New Delhi, India.
    19. Olorunfemi Sola, 2013. "Demand for food in Ondo state, Nigeria: Using quadratic almost ideal demand system," E3 Journal of Business Management and Economics., E3 Journals, vol. 4(1), pages 001-019.
    20. Sharma, Vijay Paul & Jain, Dinesh, 2011. "High-Value Agriculture in India: Past Trends and Future Prospects," IIMA Working Papers WP2011-07-02, Indian Institute of Management Ahmedabad, Research and Publication Department.
    21. Nikmatul Khoiriyah & Ratya Anindita & Nuhfil Hanani & Abdul Wahib Muhaimin, 2020. "Animal Food Demand in Indonesia: A Quadratic Almost Ideal Demand System Approach," AGRIS on-line Papers in Economics and Informatics, Czech University of Life Sciences Prague, Faculty of Economics and Management, vol. 12(2), June.
    22. Lubna Naz & Munir Ahmad & G.M Arif, 2018. "Estimating Food Demand System and Rural Household Welfare: A Case study from Pakistan," Business & Economic Review, Institute of Management Sciences, Peshawar, Pakistan, vol. 10(4), pages 55-82, December.
    23. Kumar, Praduman & Kumar, Anjani & Parappurathu, Shinoj & Raju, S.S., 2011. "Estimation of Demand Elasticity for Food Commodities in India," Agricultural Economics Research Review, Agricultural Economics Research Association (India), vol. 24(1), June.
    24. Liu, Haiyan & Wahl, Thomas I. & Seale, James L. & Bai, Junfei, 2015. "Household composition, income, and food-away-from-home expenditure in urban China," Food Policy, Elsevier, vol. 51(C), pages 97-103.
    25. Bopape, Lesiba, 2006. "Heterogeneity of Household Food Expenditure Patterns in South Africa," 2006 Annual meeting, July 23-26, Long Beach, CA 21300, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Srikanta Chatterjee & Claudio Michelini & Ranjan Ray, 1994. "Expenditure Patterns and Aggregate Consumer Behaviour: Some Experiments with Australian and New Zealand Data," The Economic Record, The Economic Society of Australia, vol. 70(210), pages 278-291, September.
    2. Pashardes, Panos, 1995. "Equivalence scales in a rank-3 demand system," Journal of Public Economics, Elsevier, vol. 58(1), pages 143-158, September.
    3. Geoffrey Lancaster & Ranjan Ray, 1998. "Comparison of Alternative Models of Household Equivalence Scales: The Australian Evidence on Unit Record Data," The Economic Record, The Economic Society of Australia, vol. 74(224), pages 1-14, March.
    4. Andrej Cupák & Peter Tóth, 2017. "Measuring the Efficiency of VAT reforms: Evidence from Slovakia," Working and Discussion Papers WP 6/2017, Research Department, National Bank of Slovakia.
    5. Peter Tóth & Andrej Cupák & Marian Rizov, 2021. "Measuring the efficiency of VAT reforms: a demand system simulation approach," Oxford Economic Papers, Oxford University Press, vol. 73(3), pages 1218-1243.
    6. Garcia-Diaz Rocio, 2012. "Demand-Based Cost-of-Children Estimates and Child Poverty," The B.E. Journal of Economic Analysis & Policy, De Gruyter, vol. 12(1), pages 1-32, January.
    7. Michelini, Claudio, 1999. "The estimation of a rank 3 demand system with demographic demand shifters from quasi-unit record data of household consumption," Economics Letters, Elsevier, vol. 65(1), pages 17-24, October.
    8. De Agostini, Paola, 2014. "The effect of food prices and household income on the British diet," ISER Working Paper Series 2014-10, Institute for Social and Economic Research.
    9. West, Sarah E. & Williams III, Roberton C., 2007. "Optimal taxation and cross-price effects on labor supply: Estimates of the optimal gas tax," Journal of Public Economics, Elsevier, vol. 91(3-4), pages 593-617, April.
    10. Bruce Bradbury, 1995. "Household Semi-Public Goods and the Estimation of Consumer Equivalence Scales: Some First Steps," Microeconomics 9508001, University Library of Munich, Germany.
    11. Tey, (John) Yeong-Sheng & Shamsudin, Mad Nasir & Mohamed, Zainalabidin & Abdullah, Amin Mahir & Radam, Alias, 2008. "Demand analyses of rice in Malaysia," MPRA Paper 15062, University Library of Munich, Germany.
    12. Bruce Bradbury, 1996. "Household Income Sharing, Joint Consumption and the Expenditure Patterns of Australian Retired Couples and Single People," Discussion Papers 0066, University of New South Wales, Social Policy Research Centre.
    13. Matthew Gray & David Stanton, 2010. "Costs of children and Equivalence Scales: A Review of Methodological Issues and Australian Estimates," Australian Journal of Labour Economics (AJLE), Bankwest Curtin Economics Centre (BCEC), Curtin Business School, vol. 13(1), pages 99-115.
    14. Maureen T. Rimmer & Alan A. Powell, 1994. "Engel Flexibility in Household Budget Studies: Non-parametric Evidence versus Standard Functional Forms," Centre of Policy Studies/IMPACT Centre Working Papers op-79, Victoria University, Centre of Policy Studies/IMPACT Centre.
    15. Vincenzo Atella & Jay Coggins & Federico Perali, 2005. "Aversion to inequality in Italy and its determinants," The Journal of Economic Inequality, Springer;Society for the Study of Economic Inequality, vol. 2(2), pages 117-144, January.
    16. Korir, Lilian & Rizov, Marian & Ruto, Eric, 2020. "Food security in Kenya: Insights from a household food demand model," Economic Modelling, Elsevier, vol. 92(C), pages 99-108.
    17. Liu, Kang Ernest & Chern, Wen S., 2004. "Translating And Scaling Of Budget Shares: An Empirical Analysis Of Chinese Urban Household Demand For Meat," 2004 Annual meeting, August 1-4, Denver, CO 20001, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    18. Bopape, Lesiba, 2006. "Heterogeneity of Household Food Expenditure Patterns in South Africa," 2006 Annual meeting, July 23-26, Long Beach, CA 21300, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    19. Betti Gianni & Karadag Mehmet Ali & Sarica Ozlem & Ucar Baris, 2017. "Regional differences in equivalence scales in Turkey," Экономика региона, CyberLeninka;Федеральное государственное бюджетное учреждение науки «Институт экономики Уральского отделения Российской академии наук», vol. 13(1), pages 63-69.
    20. Trevon D. Logan, 2011. "Economies Of Scale In The Household: Puzzles And Patterns From The American Past," Economic Inquiry, Western Economic Association International, vol. 49(4), pages 1008-1028, October.

    More about this item

    JEL classification:

    • D10 - Microeconomics - - Household Behavior - - - General
    • D12 - Microeconomics - - Household Behavior - - - Consumer Economics: Empirical Analysis
    • D19 - Microeconomics - - Household Behavior - - - Other
    • O53 - Economic Development, Innovation, Technological Change, and Growth - - Economywide Country Studies - - - Asia including Middle East

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:wly:jintdv:v:11:y:1999:i:1:p:47-74. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Wiley Content Delivery (email available below). General contact details of provider: http://www3.interscience.wiley.com/journal/5102/home .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.