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Predicting the Effects of Market Reform in Zimbabwe: A Stated Preference Approach

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  • Lawrence Rubey
  • Frank Lupi

Abstract

A stated preference approach is used to predict likely responses to market reform in Zimbabwe. A random utility model is estimated using data on consumers' stated preferences for alternative types of maize meal. The model is used to predict demand patterns resulting from market reforms. Predicted demand is then compared with actual demand following market reforms. An analysis of the welfare effects of alternative policy scenarios shows that coupling the removal of consumer maize subsidies with improved access to a broader range of maize meal products ameliorated many of the adverse effects of subsidy removal, especially for lower-income groups. Copyright 1997, Oxford University Press.

Suggested Citation

  • Lawrence Rubey & Frank Lupi, 1997. "Predicting the Effects of Market Reform in Zimbabwe: A Stated Preference Approach," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 79(1), pages 89-99.
    • Handle: RePEc:oup:ajagec:v:79:y:1997:i:1:p:89-99
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    File URL: http://hdl.handle.net/10.2307/1243945
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    Cited by:

    1. A. Banerji & Shyamal Chowdhury & Hugo De Groote & J. V. Meenakshi & Joyce Haleegoah & Manfred Ewool, 2018. "Eliciting Willingness†to†Pay through Multiple Experimental Procedures: Evidence from Lab†in†the†Field in Rural Ghana," Canadian Journal of Agricultural Economics/Revue canadienne d'agroeconomie, Canadian Agricultural Economics Society/Societe canadienne d'agroeconomie, vol. 66(2), pages 231-254, June.
    2. Christopher A. Wolf & Frank Lupi & Stephen Harsh, 2011. "Farmer demand for financial record‐keeping system attributes," Agricultural Finance Review, Emerald Group Publishing Limited, vol. 71(2), pages 259-276, August.
    3. Banerji, A. & Chowdhury, Shyamal K. & de Groote, Hugo & Meenakshi, Jonnalagadda V. & Haleegoah, Joyce & Ewoo, Manfred, 2013. "Using elicitation mechanisms to estimate the demand for nutritious maize: Evidence from experiments in rural Ghana," HarvestPlus working papers 10, International Food Policy Research Institute (IFPRI).
    4. De Groote, Hugo & Tomlins, Keith & Haleegoah, Joyce & Awool, Manfred & Frimpong, Benedicta & Banerji, Abijit & Chowdury, Shyamal K. & Meenakshi, J.V., 2010. "Assessing rural consumers’ WTP for orange, biofortified maize in Ghana with experimental auctions and a simulated radio message," 2010 AAAE Third Conference/AEASA 48th Conference, September 19-23, 2010, Cape Town, South Africa 96197, African Association of Agricultural Economists (AAAE).
    5. An, Li & Lupi, Frank & Liu, Jianguo & Linderman, Marc A. & Huang, Jinyan, 2002. "Modeling the choice to switch from fuelwood to electricity: Implications for giant panda habitat conservation," Ecological Economics, Elsevier, vol. 42(3), pages 445-457, September.
    6. De Groote, Hugo & Kimenju, Simon Chege, 2008. "Comparing consumer preferences for color and nutritional quality in maize: Application of a semi-double-bound logistic model on urban consumers in Kenya," Food Policy, Elsevier, vol. 33(4), pages 362-370, August.
    7. Tschirley, David & Reardon, Thomas, 2016. "Impact on Employment and Migration of Structural and Rural Transformation," Food Security International Development Working Papers 245895, Michigan State University, Department of Agricultural, Food, and Resource Economics.
    8. David F. Layton & Gardner Brown & Mark L. Plummer, 1999. "Valuing Multiple Programs to Improve Fish Populations," Discussion Papers in Economics at the University of Washington 0042, Department of Economics at the University of Washington.
    9. Lusk, Jayson L. & Fox, John A., 2000. "Consumer Valuation Of Beef Ribeye Steak Attributes," 2000 Annual meeting, July 30-August 2, Tampa, FL 21793, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    10. David F. Layton & Gardner Brown & Mark L. Plummer, 1999. "Valuing Multiple Programs to Improve Fish Populations," Working Papers 0042, University of Washington, Department of Economics.

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