IDEAS home Printed from https://ideas.repec.org/p/pra/mprapa/15064.html
   My bibliography  Save this paper

Demand analysis of food in Malaysia: A study of Malay ethnic

Author

Listed:
  • Tey, (John) Yeong-Sheng
  • Shamsudin, Mad Nasir
  • Mohamed, Zainalabidin
  • Abdullah, Amin Mahir

Abstract

The objective of this study is to provide an insight into demand patterns of the Malay consumers for specific food categories in Malaysia. By utilizing Household Expenditure Survey 2004/2005, a system of equations of Linear Approximate Almost Ideal Demand System (LA/AIDS) model for 12 aggregated food products is estimated using a two-step estimation procedure. A Working-leser form of Engel function is also estimated to derive income elasticities from the estimated expenditure elasticities. This study shows that Malay consumers appear to have different food consumption patterns as compared to the general Malaysian diets. Malay consumers tend to increase their consumption of rice more than higher-value (meat and fish) and functional (vegetables and fruits) foods. Malay consumers are found to be very sensitive to the own-price of most of the food products, especially rice (-2.0241).

Suggested Citation

  • Tey, (John) Yeong-Sheng & Shamsudin, Mad Nasir & Mohamed, Zainalabidin & Abdullah, Amin Mahir, 2008. "Demand analysis of food in Malaysia: A study of Malay ethnic," MPRA Paper 15064, University Library of Munich, Germany.
  • Handle: RePEc:pra:mprapa:15064
    as

    Download full text from publisher

    File URL: https://mpra.ub.uni-muenchen.de/15064/1/MPRA_paper_15064.pdf
    File Function: original version
    Download Restriction: no

    References listed on IDEAS

    as
    1. Wen S. Chern & Kimiko Ishibashi & Kiyoshi Taniguchi & Yuki Tokoyama, 2002. "Analysis of Food Consumption Behavior by Japanese Households," Working Papers 02-06, Agricultural and Development Economics Division of the Food and Agriculture Organization of the United Nations (FAO - ESA).
    2. Frank Asche & Cathy R. Wessells, 1997. "On Price Indices in the Almost Ideal Demand System," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 79(4), pages 1182-1185.
    3. X. M. Gao & Thomas Spreen, 1994. "A Microeconometric Analysis of the U.S. Meat Demand," Canadian Journal of Agricultural Economics/Revue canadienne d'agroeconomie, Canadian Agricultural Economics Society/Societe canadienne d'agroeconomie, vol. 42(3), pages 397-412, November.
    4. Alston, Julian M & Foster, Kenneth A & Green, Richard D, 1994. "Estimating Elasticities with the Linear Approximate Almost Ideal Demand System: Some Monte Carlo Results," The Review of Economics and Statistics, MIT Press, vol. 76(2), pages 351-356, May.
    5. Eric J. Wailes & Gail L. Cramer, 1997. "A Microeconometric Analysis of Consumer Taste Determination and Taste Change for Beef," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 79(2), pages 573-582.
    6. Giancarlo Moschini, 1995. "Units of Measurement and the Stone Index in Demand System Estimation," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 77(1), pages 63-68.
    7. Pomboza, Ruth & Mbaga, Msafiri Daudi, 2007. "The Estimation of Food Demand Elasticities in Canada," Economic and Market Information 52705, Agriculture and Agri-Food Canada.
    8. Tey Yeong Sheng & Mad Nasir Shamsudin & Zainalabidin Mohamed & Amin Mahir Abdullah & Alias Radam, 2008. "A Complete Demand System of Food in Malaysia," The IUP Journal of Agricultural Economics, IUP Publications, vol. 0(3), pages 17-29, July.
    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. John L. Park & Rodney B. Holcomb & Kellie Curry Raper & Oral Capps, 1996. "A Demand Systems Analysis of Food Commodities by U.S. Households Segmented by Income," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 78(2), pages 290-300.
    Full references (including those not matched with items on IDEAS)

    More about this item

    Keywords

    Food; Linear Approximate Almost Ideal Demand System; Engel function;

    JEL classification:

    • D12 - Microeconomics - - Household Behavior - - - Consumer Economics: Empirical Analysis
    • Q11 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Agriculture - - - Aggregate Supply and Demand Analysis; Prices

    NEP fields

    This paper has been announced in the following NEP Reports:

    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:pra:mprapa:15064. See general information about how to correct material in RePEc.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Joachim Winter) or (Rebekah McClure). General contact details of provider: http://edirc.repec.org/data/vfmunde.html .

    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 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.

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

    IDEAS is a RePEc service hosted by the Research Division of the Federal Reserve Bank of St. Louis . RePEc uses bibliographic data supplied by the respective publishers.