IDEAS home Printed from https://ideas.repec.org/a/caa/jnlage/v61y2015i7id138-2014-agricecon.html
   My bibliography  Save this article

Comparative analysis of the animal products consumption in developing countries: the case study of the South Asian countries

Author

Listed:
  • Muhammad Rizwan YASEEN

    (Government College University, Faisalabad, Pakistan)

  • Imran QAISER

    (Government College University, Faisalabad, Pakistan)

  • Nabeela KOUSAR

    (Government College University, Faisalabad, Pakistan)

Abstract

Being the most populous countries of South Asia, Pakistan, India and Bangladesh represent about 37% of the world total undernourished population. In these three countries, the growing place of animal products can be observed in the diets, but the levels consumed for animal products remained very low as compared to the world mean. The consumption behaviour of animal products for three countries is presented in the study. Expenditure elasticities, own and cross compensated as well as non-compensated price elasticities of main animal products of these countries are calculated by using a LA/AIDS model applied to yearly data. Milk is income as well as price elastic in Pakistan while all other animal products in all three countries are relatively price inelastic. On the other hand, chicken and eggs are relatively income elastic. The results are compared with other authors in detail. The impact of some government policies to improve the protein and calorie intake by the actions on income and prices for the most vulnerable consumers (low income group) in these countries is also evaluated for Pakistan.

Suggested Citation

  • Muhammad Rizwan YASEEN & Imran QAISER & Nabeela KOUSAR, 2015. "Comparative analysis of the animal products consumption in developing countries: the case study of the South Asian countries," Agricultural Economics, Czech Academy of Agricultural Sciences, vol. 61(7), pages 332-342.
  • Handle: RePEc:caa:jnlage:v:61:y:2015:i:7:id:138-2014-agricecon
    DOI: 10.17221/138/2014-AGRICECON
    as

    Download full text from publisher

    File URL: http://agricecon.agriculturejournals.cz/doi/10.17221/138/2014-AGRICECON.html
    Download Restriction: free of charge

    File URL: http://agricecon.agriculturejournals.cz/doi/10.17221/138/2014-AGRICECON.pdf
    Download Restriction: free of charge

    File URL: https://libkey.io/10.17221/138/2014-AGRICECON?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to

    for a different version of it.

    References listed on IDEAS

    as
    1. Deaton,Angus & Muellbauer,John, 1980. "Economics and Consumer Behavior," Cambridge Books, Cambridge University Press, number 9780521296762, May.
    2. 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(01), June.
    3. Harold Alderman, 1988. "Estimates of Consumer Price Response in Pakistan using Market Prices as Data," The Pakistan Development Review, Pakistan Institute of Development Economics, vol. 27(2), pages 89-107.
    4. Howarth E. Bouis, 1992. "Food Demand Elasticities by Income Group by Urban and Rural Populations for Pakistan," The Pakistan Development Review, Pakistan Institute of Development Economics, vol. 31(4), pages 997-1017.
    5. World Bank, 1981. "World Development Report 1981," World Bank Publications - Books, The World Bank Group, number 5964.
    6. Holt, Matthew T. & Goodwin, Barry K., 2009. "The Almost Ideal and Translog Demand Systems," MPRA Paper 15092, University Library of Munich, Germany.
    7. Seale, James L., Jr. & Regmi, Anita & Bernstein, Jason, 2003. "International Evidence On Food Consumption Patterns," Technical Bulletins 33580, United States Department of Agriculture, Economic Research Service.
    8. Mellor, John W, 1983. "Food Prospects for the Developing Countries," American Economic Review, American Economic Association, vol. 73(2), pages 239-243, May.
    9. 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.
    10. Matthew T. Holt & Barry K. Goodwin, 2009. "Chapter 2 The Almost Ideal and Translog Demand Systems," Contributions to Economic Analysis, in: Quantifying Consumer Preferences, pages 37-59, Emerald Group Publishing Limited.
    11. 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.
    12. Seale, James L., Jr. & Regmi, Anita & Bernstein, Jason, 2003. "International Evidence On Food Consumption Patterns," Technical Bulletins 33580, United States Department of Agriculture, Economic Research Service.
    13. 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)

    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. Muhammad Rizwan Yaseen & Irfan Mehmood & Qasim Ali, 2014. "Comparative analysis of the food and nutrients demand in developing countries: The case of main vegetable products in South Asian countries," Agricultural Economics, Czech Academy of Agricultural Sciences, vol. 60(12), pages 570-581.
    2. Zereyesus, Yacob Abrehe & Xia, Tian & Nava, Noé J. & Li, Xianghong & Cardell, Lila, 2025. "International Income and Price Elasticity Estimates: An Update," Technical Bulletins 358604, United States Department of Agriculture, Economic Research Service.
    3. Clements, Kenneth W. & Gao, Grace, 2015. "The Rotterdam demand model half a century on," Economic Modelling, Elsevier, vol. 49(C), pages 91-103.
    4. Okrent, Abigail M. & Alston, Julian M., 2011. "Demand for Food in the United States: A Review of Literature, Evaluation of Previous Estimates, and Presentation of New Estimates of Demand," Monographs, University of California, Davis, Giannini Foundation, number 251908.
    5. Saroja Selvanathan & Maneka Jayasinghe & Eliyathamby A. Selvanathan & Shashika D. Rathnayaka, 2024. "Dynamic modelling of consumption patterns using LA-AIDS: a comparative study of developed versus developing countries," Empirical Economics, Springer, vol. 66(1), pages 75-135, January.
    6. Cliona Ni Mhurchu & Helen Eyles & Chris Schilling & Qing Yang & William Kaye-Blake & Murat Genç & Tony Blakely, 2013. "Food Prices and Consumer Demand: Differences across Income Levels and Ethnic Groups," PLOS ONE, Public Library of Science, vol. 8(10), pages 1-12, October.
    7. Srivastava, S.K. & Mathur, V.C. & Sivaramane, N. & Kumar, Ranjit & Hasan, Rooba & Meena, P.C., 2013. "Unravelling Food Basket of Indian Households: Revisiting Underlying Changes and Future Food Demand," Indian Journal of Agricultural Economics, Indian Society of Agricultural Economics, vol. 68(4), pages 1-17.
    8. Andersson, Magnus & Hayakawa, Kazunobu & Keola, Souknilanh & Yamanouchi, Kenta, 2025. "Impacts of international transport infrastructure: Evidence from Laotian households," Journal of Asian Economics, Elsevier, vol. 97(C).
    9. Haider, Adnan & Zaidi, Masroor, 2017. "Food Consumption Patterns and Nutrition Disparity in Pakistan," MPRA Paper 83522, University Library of Munich, Germany.
    10. Gibson, John & Stillman, Steven & Le, Trinh, 2008. "CPI bias and real living standards in Russia during the transition," Journal of Development Economics, Elsevier, vol. 87(1), pages 140-160, August.
    11. Laura Cornelsen & Mario Mazzocchi & Rosemary Green & Alan D. Dangour & Richard D. Smith, 2016. "Estimating the Relationship between Food Prices and Food Consumption—Methods Matter," Applied Economic Perspectives and Policy, Agricultural and Applied Economics Association, vol. 38(3), pages 546-561.
    12. Meade, Birgit & Muhammad , Andrew, 2017. "The Influence of Income and Prices on Global Dietary Patterns by Country, Age, and Gender," Amber Waves:The Economics of Food, Farming, Natural Resources, and Rural America, United States Department of Agriculture, Economic Research Service, issue 10, November.
    13. Femenia, Fabienne & Gohin, Alexandre, 2007. "Estimating price elasticities of food trade functions: How relevant is the gravity approach?," Working Papers 7211, TRADEAG - Agricultural Trade Agreements.
    14. Shiyuan Chen & Sally Wallace, 2009. "Food Consumption in Jamaica: A Household and Social Behavior," International Center for Public Policy Working Paper Series, at AYSPS, GSU paper0901, International Center for Public Policy, Andrew Young School of Policy Studies, Georgia State University.
    15. Fade-Aluko, Titilope O. & Sanusi, Rahman A. & Afolami, Carolyn A. & Phillip, Biola B., 2016. "Analysis of Urban Households' Demand for Sweeteners in Ogun State, Nigeria," Nigerian Journal of Agricultural Economics, Nigerian Journal of Agricultural Economics, vol. 6(01), October.
    16. Widenhorn, Andreas & Salhofer, Klaus, 2014. "Using a Generalized Differenced Demand Model to Estimate Price and Expenditure Elasticities for Milk and Meat in Austria," German Journal of Agricultural Economics, Humboldt-Universitaet zu Berlin, Department for Agricultural Economics, vol. 63(02), pages 1-16, June.
    17. Lorenzo Sabatelli, 2016. "Relationship between the Uncompensated Price Elasticity and the Income Elasticity of Demand under Conditions of Additive Preferences," PLOS ONE, Public Library of Science, vol. 11(3), pages 1-11, March.
    18. Alexandre Gohin & Fabienne Féménia, 2009. "Estimating Price Elasticities of Food Trade Functions: How Relevant is the CES‐based Gravity Approach?," Journal of Agricultural Economics, Wiley Blackwell, vol. 60(2), pages 253-272, June.
    19. Rathnayaka, Shashika D. & Selvanathan, Eliyathamby A. & Selvanathan, Saroja, 2022. "Modelling the consumption patterns in the Asian countries," Economic Analysis and Policy, Elsevier, vol. 74(C), pages 277-296.
    20. T.Y. Sheng & M.N. Shamsudin & Z. Mohamed & A.M. Abdullah & A. Radam, 2008. "Complete demand systems of food in Malaysia," Agricultural Economics, Czech Academy of Agricultural Sciences, vol. 54(10), pages 467-475.

    More about this item

    Keywords

    ;
    ;
    ;
    ;
    ;

    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:caa:jnlage:v:61:y:2015:i:7:id:138-2014-agricecon. 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: Ivo Andrle (email available below). General contact details of provider: https://www.cazv.cz/en/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.