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

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  • 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.
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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
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    1. Victor R. Fuchs, 1982. "Economic Aspects of Health," NBER Books, National Bureau of Economic Research, Inc, number fuch82-1.
    2. 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.
    3. 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.
    4. Murray D. Smith, 2003. "Modelling sample selection using Archimedean copulas," Econometrics Journal, Royal Economic Society, vol. 6(1), pages 99-123, June.
    5. 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).
    6. Vuong, Quang H, 1989. "Likelihood Ratio Tests for Model Selection and Non-nested Hypotheses," Econometrica, Econometric Society, vol. 57(2), pages 307-333, March.
    7. 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.
    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. Fuchs, Victor R. (ed.), 1982. "Economic Aspects of Health," National Bureau of Economic Research Books, University of Chicago Press, number 9780226267852.
    10. 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.
    11. 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.
    12. 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).
    13. 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.
    14. 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.
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    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.

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