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U.S. demand for organic and conventional vegetables: a Bayesian censored system approach

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  • Kasteridis, Panagiotis
  • Yen, Steven

Abstract

Demand for organic and conventional vegetables is investigated using data from A.C. Nielsen’s 2006 Homescan panel. We use a Bayesian Markov chain Monte Carlo technique, along with data augmentation, to estimate a large linear approximate Almost Ideal Demand System with censored dependent variables. Demands are price elastic, and expenditure elasticities are very high for organic vegetables, whilst demands for conventional vegetables are primarily inelastic. We find a mix of gross substitution and complementarity among the vegetable products, but net substitution is the dominant pattern. Socio-demographic characteristics also play important roles in demands. These findings can inform deliberations about marketing campaigns, nutrition education and policy interventions.

Suggested Citation

  • Kasteridis, Panagiotis & Yen, Steven, 2012. "U.S. demand for organic and conventional vegetables: a Bayesian censored system approach," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 56(3), pages 1-21.
    • Handle: RePEc:ags:aareaj:211679
    DOI: 10.22004/ag.econ.211679
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    1. 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.
    2. Millimet, Daniel L. & Tchernis, Rusty, 2008. "Estimating high-dimensional demand systems in the presence of many binding non-negativity constraints," Journal of Econometrics, Elsevier, vol. 147(2), pages 384-395, December.
    3. Soest, Arthur van & Kapteyn, Arie & Kooreman, Peter, 1993. "Coherency and regularity of demand systems with equality and inequality constraints," Journal of Econometrics, Elsevier, vol. 57(1-3), pages 161-188.
    4. Lee, Lung-Fei & Pitt, Mark M, 1986. "Microeconometric Demand Systems with Binding Nonnegativity Constraints: The Dual Approach," Econometrica, Econometric Society, vol. 54(5), pages 1237-1242, September.
    5. Peter C. Verhoef, 2005. "Explaining purchases of organic meat by Dutch consumers," European Review of Agricultural Economics, Oxford University Press and the European Agricultural and Applied Economics Publications Foundation, vol. 32(2), pages 245-267, June.
    6. Steven T. Yen & Biing-Hwan Lin, 2006. "A Sample Selection Approach to Censored Demand Systems," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 88(3), pages 742-749.
    7. 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.
    8. Biing-Hwan Lin & Steven T. Yen & Chung L. Huang & Travis A. Smith, 2009. "U.S. Demand for Organic and Conventional Fresh Fruits: The Roles of Income and Price," Sustainability, MDPI, vol. 1(3), pages 1-15, August.
    9. Kuhar, Ales & Juvancic, Luka, 2010. "Determinants of purchasing behaviour for organic and integrated fruits and vegetables in Slovenia," Agricultural Economics Review, Greek Association of Agricultural Economists, vol. 11(2), pages 1-14, August.
    10. Einav, Liran & Leibtag, Ephraim S. & Nevo, Aviv, 2008. "On the Accuracy of Nielsen Homescan Data," Economic Research Report 56490, United States Department of Agriculture, Economic Research Service.
    11. Smith, Travis A. & Huang, Chung L. & Lin, Biing-Hwan, 2009. "Does Price or Income Affect Organic Choice? Analysis of U.S. Fresh Produce Users," Journal of Agricultural and Applied Economics, Southern Agricultural Economics Association, vol. 41(3), pages 1-14, December.
    12. Wales, T. J. & Woodland, A. D., 1983. "Estimation of consumer demand systems with binding non-negativity constraints," Journal of Econometrics, Elsevier, vol. 21(3), pages 263-285, April.
    13. Gary D. Thompson & Julia Kidwell, 1998. "Explaining the Choice of Organic Produce: Cosmetic Defects, Prices, and Consumer Preferences," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 80(2), pages 277-287.
    14. Wier, Mette & O'Doherty Jensen, Katherine & Andersen, Laura Mørch & Millock, Katrin, 2008. "The character of demand in mature organic food markets: Great Britain and Denmark compared," Food Policy, Elsevier, vol. 33(5), pages 406-421, October.
    15. Gracia, Azucena & de Magistris, Tiziana, 2008. "The demand for organic foods in the South of Italy: A discrete choice model," Food Policy, Elsevier, vol. 33(5), pages 386-396, October.
    16. Richard Tiffin & Matthieu Arnoult, 2010. "The demand for a healthy diet: estimating the almost ideal demand system with infrequency of purchase," European Review of Agricultural Economics, Oxford University Press and the European Agricultural and Applied Economics Publications Foundation, vol. 37(4), pages 501-521, December.
    17. Panagiotis Kasteridis & Steven T. Yen & Cheng Fang, 2011. "Bayesian Estimation of a Censored Linear Almost Ideal Demand System: Food Demand in Pakistan," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 93(5), pages 1374-1390.
    18. Steven T. Yen & Biing-Hwan Lin & David M. Smallwood, 2003. "Quasi- and Simulated-Likelihood Approaches to Censored Demand Systems: Food Consumption by Food Stamp Recipients in the United States," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 85(2), pages 458-478.
    19. Deaton, Angus S & Muellbauer, John, 1980. "An Almost Ideal Demand System," American Economic Review, American Economic Association, vol. 70(3), pages 312-326, June.
    20. von Haefen R.H. & Phaneuf D.J. & Parsons G.R., 2004. "Estimation and Welfare Analysis With Large Demand Systems," Journal of Business & Economic Statistics, American Statistical Association, vol. 22, pages 194-205, April.
    21. Dunham, Denis & Parlett, Ralph & Glaser, Lewrene, 1989. "Food Prices," Food Review/ National Food Review, United States Department of Agriculture, Economic Research Service, vol. 12(2), June.
    22. Glaser, Lewrene K. & Thompson, Gary D., 1999. "Demand For Organic And Conventional Frozen Vegetables," 1999 Annual meeting, August 8-11, Nashville, TN 21583, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    23. Glaser, Lewrene K. & Thompson, Gary D., 2000. "Demand For Organic And Conventional Beverage Milk," 2000 Annual Meeting, June 29-July 1, 2000, Vancouver, British Columbia 36346, Western Agricultural Economics Association.
    24. Kuhar, Ales & Juvancic, L., 2012. "Determinants of purchasing behaviour for organic and integrated fruits and vegetables in Slovenia," Agricultural Economics Review, Greek Association of Agricultural Economists, vol. 11(2), pages 1-14.
    25. Lin, Tsai-Fen & Schmidt, Peter, 1984. "A Test of the Tobit Specification against an Alternative Suggested by Cragg," The Review of Economics and Statistics, MIT Press, vol. 66(1), pages 174-177, February.
    26. Chib, Siddhartha, 1992. "Bayes inference in the Tobit censored regression model," Journal of Econometrics, Elsevier, vol. 51(1-2), pages 79-99.
    27. Amemiya, Takeshi, 1974. "Multivariate Regression and Simultaneous Equation Models when the Dependent Variables Are Truncated Normal," Econometrica, Econometric Society, vol. 42(6), pages 999-1012, November.
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    Cited by:

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    2. Akerele, Dare & Tiffin, R. & Srinivasan, C. S., 2013. "Household Food Demand in Nigeria: an Application of Multivariate Double-hurdle Model," 87th Annual Conference, April 8-10, 2013, Warwick University, Coventry, UK 158700, Agricultural Economics Society.

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