Hostname: page-component-cd9895bd7-gbm5v Total loading time: 0 Render date: 2024-12-25T18:21:37.407Z Has data issue: false hasContentIssue false
  • English
  • Français

Determinants of Purchase Likelihoods and Amounts Spent on Meat in Malaysia: A Sample Selection System Approach

Published online by Cambridge University Press:  15 September 2016

Andrew K. G. Tan ,
Steven T. Yen ,
Abdul Rahman Hasan  and
Kamarudin Muhamed
Andrew K. G. Tan*
Affiliation:
School of Social Sciences at Universiti Sains Malaysia
Steven T. Yen
Affiliation:
STY Health Econometrics in Knoxville, Tennessee
Abdul Rahman Hasan
Affiliation:
Department of Statistics Malaysia
Kamarudin Muhamed
Affiliation:
Department of Statistics Malaysia
*
Correspondence: School of Social Sciences ▪ Universiti Sains Malaysia ▪ 11800 Minden ▪ Penang ▪ Malaysia ▪ Phone +604.653.2653 ▪ Email atan@usm.my.
Get access Rights & Permissions [Opens in a new window]

Abstract

A sample selection system is used to examine factors associated with likelihoods of purchase and amounts spent on fresh, frozen, and processed meats in Malaysia based on data from the 2009/10 Malaysian Household Expenditure Survey. Statistical tests support use of the sample selection system estimator over more conventional estimation procedures. Results indicate that household size, location of residence, ethnicity, age, education, and income are closely associated with patterns of household expenditures for fresh, frozen, and processed meats. Several observations are noted regarding determinants of purchase likelihoods and expenditure patterns for meat in Malaysia.

Keywords

censoringfresh meatfrozen meatMalaysiaprocessed meatsample selection system
Type
Research Article
Information
Agricultural and Resource Economics Review , Volume 44 , Issue 1 , April 2015 , pp. 94 - 109
Copyright
Copyright © 2015 Northeastern Agricultural and Resource Economics Association 

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)

References

Abdullah, N.M.R. 1997. “Changes in Consumers’ Tastes in the Demand for Fish and Meat in Malaysia.” NAGA: The ICLARM Quarterly 20(1): 49–51.Google Scholar
Ahmed, A.F., and Mohamed, Z. 2007. “Consumer's Perception of Mutton Consumption in Peninsular Malaysia.” Journal of the International Society for Southeast Asian Agricultural Sciences 13(2): 111–112.Google Scholar
Amemiya, T. 1974. “Multivariate Regression and Simultaneous Equation Models When the Dependent Variables Are Truncated Normal.” Econometrica 42(6): 999–1012.Google Scholar
Burton, M., Dorsett, R., and Young, T. 2000. “An Investigation of the Increasing Prevalence of Nonpurchase of Meat by British Households.” Applied Economics 32(15): 1985–1991.Google Scholar
Chao, A., Thun, M.J., Connell, C.J., McCullough, M.L., Jacobs, E.J., Flanders, W.D., Rodrigues, C., Sinha, R., and Calle, E.E. 2005. “Meat Consumption and Risk of Colorectal Cancer.” Journal of the American Medical Association 293(2): 172–182.Google Scholar
Coffey, B.K., Schroeder, T.C., and Marsh, T.L. 2011. “Disaggregated Household Meat Demand with Censored Data.” Applied Economics 43(18): 2343–2363.Google Scholar
Davis, C., Yen, S.T., and Lin, B. 2007. “Consumer Demand for Meat Cuts and Seafood.” Selected paper presented at the 2007 annual meetings of the American Agricultural Economics Association, Portland, OR.Google Scholar
Department of Statistics Malaysia. 2008. “Social Statistics Bulletin Malaysia.” Department of Statistics Malaysia, Putrajaya, Malaysia. Google Scholar
Department of Statistics Malaysia. 2011. “Report on Household Expenditure Survey 2009/10.” Department of Statistics Malaysia, Putrajaya, Malaysia. Google Scholar
Food and Agriculture Organization Statistics Division, United Nations. 2013. Statistical database, www.faostat.fao.org (accessed October 2014).Google Scholar
Heckman, J.J. 1979. “Sample Selection Bias as a Specification Error.” Econometrica 47(1): 153–161.CrossRefGoogle Scholar
Ishida, A., Law, S.H., and Aita, Y. 2003. “Changes in Food Consumption Expenditure in Malaysia.” Agribusiness 19(1): 61–76.Google Scholar
Lin, T., and Schmidt, P. 1984. “A Test of the Tobit Specification against an Alternative Suggested by Cragg.” Review of Economics and Statistics 66(1): 174–177.Google Scholar
Liu, M., Kasteridis, P., and Yen, S.T. 2013. “Who Are Consuming Food Away from Home and Where? Results from the Consumer Expenditure Surveys.” European Review of Agricultural Economics 40(1): 191–213.Google Scholar
McAfee, A.J., McSorley, E.M., Cuskelly, G.J., Moss, B.W., Wallace, J.M.W., Bonham, M.P., and Fearson, A.M. 2010. “Red Meat Consumption: An Overview of the Risks and Benefits.” Meat Science 84(1): 1–13.Google Scholar
Murphy, S.P., and Allen, L.H. 2003. “Nutritional Importance of Animal Source Foods.” Journal of Nutrition 133(11): 3932S–3935S.Google Scholar
Newman, C., and Matthews, A. 2002. “Factors Shaping Expenditure on Meat and Prepared Meals.” Final Report of Project Armis 4607, Agriculture and Food Development Authority, Dublin, Ireland.Google Scholar
Newman, C., Henchion, M., and Matthews, A. 2001. “Infrequency of Purchase and Double-hurdle Models of Irish Households’ Meat Expenditure.” European Review of Agricultural Economics 28(4): 393–412.Google Scholar
Tey, Y.S. 2008. “Food Consumption Patterns and Trends in Malaysia.” M.S. thesis, University Putra Malaysia, Serdang, Malaysia.Google Scholar
Tey, Y.S., Shamsudin, M.N., Mohamed, Z., Abdullah, A.M., and Radam, A. 2008. “A Complete Demand System of Food in Malaysia.” ICFAI Journal of Agricultural Economics 5(3): 17–29.Google Scholar
Tey, Y.S., Shamsudin, M.N., Mohamed, Z., Abdullah, A.M., and Radam, A. 2010. “Demand Analysis of Meat in Malaysia.” Journal of Food Products Marketing 16(2): 199–211.Google Scholar
Vuong, Q.H. 1989. “Likelihood Ratio Tests for Model Selection and Non-nested Hypotheses.” Econometrica 57(2): 307–333.Google Scholar
Wang, Y, and Beydoun, M.A. 2009. “Meat Consumption Is Associated with Obesity and Central Obesity among U.S. Adults.” International Journal of Obesity 33(6): 621–628.CrossRefGoogle Scholar
Wardle, J., Haase, A.M., Steptoe, A., Nillapun, M., Jonwutiwes, K., and Bellisie, F. 2004. “Gender Differences in Food Choice: The Contribution of Health Beliefs and Dieting.” Annals of Behavioral Medicine 27(2): 107–116.CrossRefGoogle ScholarPubMed
Yen, S.T. 2005. “A Multivariate Sample-selection Model: Estimating Cigarette and Alcohol Demands with Zero Observations.” American Journal of Agricultural Economics 87(2): 453–466.CrossRefGoogle Scholar
Yen, S.T., and Lin, B.H. 2008. “Quasi-maximum Likelihood Estimation of a Censored Equation System with a Copula Approach: Meat Consumption by U.S. Individuals.” Agricultural Economics 39(2): 207–217.CrossRefGoogle Scholar
Yen, S.T., Lin, B.H., and Davis, C.G. 2008. “Consumer Knowledge and Meat Consumption at Home and Away from Home.” Food Policy 33(6): 631–639.Google Scholar
Yen, S.T., and Rosinski, J. 2008. “On the Marginal Effects of Variables in the Log-transformed Sample Selection Models.” Economics Letters 100(1): 4–8.CrossRefGoogle Scholar