IDEAS home Printed from https://ideas.repec.org/a/bla/ajarec/v55y2011i2p239-256.html
   My bibliography  Save this article

Determinants of fruit and vegetable consumption in Malaysia: an ordinal system approach

Author

Listed:
  • Steven T. Yen
  • Andrew K.G. Tan
  • Rodolfo M. Nayga Jr

Abstract

We examine the socio-demographic determinants of fruit and vegetable consumption using household survey data from Malaysia. A bivariate ordered probability model is developed by the copula approach. Results for a system of fruit and vegetable servings per week indicate that education, age, ethnicity, income, location of residence, smoking status and health conditions are significant predictors of fruit and vegetable consumption in Malaysia. Policy implications are suggested.
(This abstract was borrowed from another version of this item.)

Suggested Citation

  • Steven T. Yen & Andrew K.G. Tan & Rodolfo M. Nayga Jr, 2011. "Determinants of fruit and vegetable consumption in Malaysia: an ordinal system approach," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 55(2), pages 239-256, April.
    • Handle: RePEc:bla:ajarec:v:55:y:2011:i:2:p:239-256
    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. Victor R. Fuchs, 1982. "Economic Aspects of Health," NBER Books, National Bureau of Economic Research, Inc, number fuch82-1, June.
    2. Huang, Kuo S. & Lin, Biing-Hwan, 2000. "Estimation of Food Demand Nutrient Elasticities from household Survey Data," Technical Bulletins 184370, United States Department of Agriculture, Economic Research Service.
    3. Victor R. Fuchs, 1982. "Time Preference and Health: An Exploratory Study," NBER Chapters, in: Economic Aspects of Health, pages 93-120, National Bureau of Economic Research, Inc.
    4. Geir Wæhler Gustavsen & Kyrre Rickertsen, 2006. "A Censored Quantile Regression Analysis of Vegetable Demand: The Effects of Changes in Prices and Total Expenditure," Canadian Journal of Agricultural Economics/Revue canadienne d'agroeconomie, Canadian Agricultural Economics Society/Societe canadienne d'agroeconomie, vol. 54(4), pages 631-645, December.
    5. Huang, Kuo S. & Lin, Biing-Hwan, 2000. "Estimation Of Food Demand And Nutrient Elasticities From Household Survey Data," Technical Bulletins 33579, United States Department of Agriculture, Economic Research Service.
    6. Biing‐Hwan Lin & Steven T. Yen & Diansheng Dong & David M. Smallwood, 2010. "Economic Incentives For Dietary Improvement Among Food Stamp Recipients," Contemporary Economic Policy, Western Economic Association International, vol. 28(4), pages 524-536, October.
    7. Vuong, Quang H, 1989. "Likelihood Ratio Tests for Model Selection and Non-nested Hypotheses," Econometrica, Econometric Society, vol. 57(2), pages 307-333, March.
    8. Blisard, Noel & Stewart, Hayden & Jolliffe, Dean, 2004. "Low-Income Households' Expenditures on Fruits and Vegetables," Agricultural Information Bulletins 33755, United States Department of Agriculture, Economic Research Service.
    9. Charles Calhoun, 1989. "Estimating the Distribution of Desired Family Size and Excess Fertility," Journal of Human Resources, University of Wisconsin Press, vol. 24(4), pages 709-724.
    10. Fuchs, Victor R. (ed.), 1982. "Economic Aspects of Health," National Bureau of Economic Research Books, University of Chicago Press, number 9780226267852, August.
    11. Lin, Biing-Hwan & Yen, Steven T. & Huang, Chung L., 2008. "Demand for Organic and Conventional Fruits," 2008 Annual Meeting, July 27-29, 2008, Orlando, Florida 6440, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    12. Stewart, Hayden & Harris, James Michael & Guthrie, Joanne F., 2004. "What Determines the Variety of a Household's Vegetable Purchases?," Agricultural Information Bulletins 33603, United States Department of Agriculture, Economic Research Service.
    13. Murray D. Smith, 2003. "Modelling sample selection using Archimedean copulas," Econometrics Journal, Royal Economic Society, vol. 6(1), pages 99-123, June.
    14. Kasteridis, Panagiotis P. & Munkin, Murat K. & Yen, Steven T., 2007. "A Binary-Ordered Probit Model of Cigarette Demand," 2007 Annual Meeting, July 29-August 1, 2007, Portland, Oregon 9862, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    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. Aditya R. Khanal & Sudip Adhikari & Fisseha Tegegne, 2024. "Why don't low‐income households purchase fruits and vegetables? Findings from African American communities in Nashville metro areas of Tennessee," Applied Economic Perspectives and Policy, John Wiley & Sons, vol. 46(1), pages 202-216, March.
    2. Tan, Andrew K. G. & Yen, Steven T. & Hasan, Abdul Rahman & Muhamed, Kamarudin, 2014. "Household Expenditures on Vegetables in Malaysia," Journal of Agricultural and Applied Economics, Southern Agricultural Economics Association, vol. 46(4), pages 1-19, November.

    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. Steven Yen & Andrew Tan, 2012. "Who are eating and not eating fruits and vegetables in Malaysia?," International Journal of Public Health, Springer;Swiss School of Public Health (SSPH+), vol. 57(6), pages 945-951, December.
    2. Yen, Steven T. & Tan, Andrew K.G., 2011. "Fruit and vegetable consumption in Malaysia: a count system approach," 2011 International Congress, August 30-September 2, 2011, Zurich, Switzerland 115969, European Association of Agricultural Economists.
    3. Carroll, Kathryn A. & Samek, Anya Savikhin & Zepeda, Lydia, 2016. "Product Bundling as a Behavioral Nudge: Investigating Consumer Fruit and Vegetable Selection using Dual-Self Theory," 2016 Annual Meeting, July 31-August 2, Boston, Massachusetts 236130, Agricultural and Applied Economics Association.
    4. Tansel, Aysit & Keskin, Halil Ibrahim, 2017. "Education Effects on Days Hospitalized and Days out of Work by Gender: Evidence from Turkey," IZA Discussion Papers 11210, Institute of Labor Economics (IZA).
    5. de Walque, Damien, 2007. "How does the impact of an HIV/AIDS information campaign vary with educational attainment? Evidence from rural Uganda," Journal of Development Economics, Elsevier, vol. 84(2), pages 686-714, November.
    6. Lechner, Michael & Sari, Nazmi, 2015. "Labor market effects of sports and exercise: Evidence from Canadian panel data," Labour Economics, Elsevier, vol. 35(C), pages 1-15.
    7. Pedro Albarran Pérez & Marisa Hidalgo Hidalgo & Iñigo Iturbe-Ormaetxe Kortajarene, 2017. "Schooling and adult health: Can education overcome bad early-life conditions?," Working Papers. Serie AD 2017-09, Instituto Valenciano de Investigaciones Económicas, S.A. (Ivie).
    8. Hunt-McCool, Janet & Bishop, Dawn M., 1998. "Health economics and the economics of education: specialization and division of labor," Economics of Education Review, Elsevier, vol. 17(3), pages 237-244, June.
    9. Khwaja, Ahmed & Silverman, Dan & Sloan, Frank, 2007. "Time preference, time discounting, and smoking decisions," Journal of Health Economics, Elsevier, vol. 26(5), pages 927-949, September.
    10. Spears Dean, 2011. "Economic Decision-Making in Poverty Depletes Behavioral Control," The B.E. Journal of Economic Analysis & Policy, De Gruyter, vol. 11(1), pages 1-44, December.
    11. Ji, Sisi & Zhu, Zheyi, 2022. "Does higher education matter for health?," Cardiff Economics Working Papers E2022/4, Cardiff University, Cardiff Business School, Economics Section.
    12. Aysit Tansel & Ceyhan Ozturk & Erkan Erdil, 2021. "The Impact of Body Mass Index on Growth, Schooling, Productivity, and Savings: A Cross-Country Study," Koç University-TUSIAD Economic Research Forum Working Papers 2118, Koc University-TUSIAD Economic Research Forum.
    13. Bijwaard, Govert E. & van Kippersluis, Hans & Veenman, Justus, 2015. "Education and health: The role of cognitive ability," Journal of Health Economics, Elsevier, vol. 42(C), pages 29-43.
    14. Breitkopf, Laura & Chowdhury, Shyamal K. & Priyam, Shambhavi & Schildberg-Hörisch, Hannah & Sutter, Matthias, 2020. "Do economic preferences of children predict behavior?," DICE Discussion Papers 342, Heinrich Heine University Düsseldorf, Düsseldorf Institute for Competition Economics (DICE).
    15. Anne Case, 2004. "Does Money Protect Health Status? Evidence from South African Pensions," NBER Chapters, in: Perspectives on the Economics of Aging, pages 287-312, National Bureau of Economic Research, Inc.
    16. Adriana Lleras-Muney, 2005. "The Relationship Between Education and Adult Mortality in the United States," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 72(1), pages 189-221.
    17. Eva Deuchert & Martin Huber, 2017. "A Cautionary Tale About Control Variables in IV Estimation," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 79(3), pages 411-425, June.
    18. Fersterer, Josef & Winter-Ebmer, Rudolf, 2003. "Smoking, discount rates, and returns to education," Economics of Education Review, Elsevier, vol. 22(6), pages 561-566, December.
    19. Michael Hurd & Arie Kapteyn, 2003. "Health, Wealth, and the Role of Institutions," Journal of Human Resources, University of Wisconsin Press, vol. 38(2).
    20. Robert B. Barsky & Miles S. Kimball & F. Thomas Juster & Matthew D. Shapiro, 1995. "Preference Parameters and Behavioral Heterogeneity: An Experimental Approach in the Health and Retirement Survey," NBER Working Papers 5213, National Bureau of Economic Research, Inc.

    More about this item

    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:bla:ajarec:v:55:y:2011:i:2:p:239-256. 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: https://edirc.repec.org/data/aaresea.html .

    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.