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Using elicitation mechanisms to estimate the demand for nutritious maize: Evidence from experiments in rural Ghana

Author

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  • Banerji, A.
  • Chowdhury, Shyamal K.
  • de Groote, Hugo
  • Meenakshi, Jonnalagadda V.
  • Haleegoah, Joyce
  • Ewoo, Manfred

Abstract

In this paper we assess (a) consumers’ willingness to pay (WTP) for a recently developed variety of maize that is high in provitamin A in the context of a public health intervention and (b) the performance of three elicitation mechanisms in estimating WTP in a field experiment in Ghana. The mechanisms that we used for elicitation are the Becker-DeGroot-Marschak (BDM) mechanism, kth price auction, and choice experiment. The basic design of the experiment involved random allocation of consumers to one of three elicitation methods. This was augmented to include treatment arms to address the effect of (1) participation fees and (2) nutrition information on WTP.

Suggested Citation

  • 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).
  • Handle: RePEc:fpr:harvwp:10
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    3. Su, Lianfan & Adam, Brian D. & Lusk, Jayson L. & Arthur, Frank, 2017. "Anchoring, Information, and Fragility of Choice Experiments: An Application to Consumer Willingness to Pay for Rice with Improved Storage Management," Journal of Agricultural and Resource Economics, Western Agricultural Economics Association, vol. 42(2), May.
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    5. Shukla, Pallavi & Pullabhotla, Hemant K. & Baylis, Kathy, 2020. "Subsidizing Agricultural Technology Adoption: An Experimental and Behavioral Economics Approach," 2020 Annual Meeting, July 26-28, Kansas City, Missouri 304451, Agricultural and Applied Economics Association.
    6. Salomón Pérez & Adewale Oparinde & Ekin Birol & Carolina Gonzalez & Manfred Zeller, 2018. "Consumer acceptance of an iron bean variety in Northwest Guatemala: the role of information and repeated messaging," Agricultural and Food Economics, Springer;Italian Society of Agricultural Economics (SIDEA), vol. 6(1), pages 1-23, December.
    7. Banerji, Abhijit & Birol, Ekin & Karandikar, Bhushana & Rampal, Jeevant, 2015. "Information, Branding, Certification, and Consumer Willingness to Pay for High-Iron Pearl Millet: Experimental Evidence from Maharashtra, India," 2015 Conference, August 9-14, 2015, Milan, Italy 211346, International Association of Agricultural Economists.
    8. Hugo Groote & Clare Narrod & Simon C. Kimenju & Charles Bett & Rosemarie P. B. Scott & Marites M. Tiongco & Zachary M. Gitonga, 2016. "Measuring rural consumers’ willingness to pay for quality labels using experimental auctions: the case of aflatoxin-free maize in Kenya," Agricultural Economics, International Association of Agricultural Economists, vol. 47(1), pages 33-45, January.
    9. Abedullah, A. & Kouser, S. & Ibrahim, M., 2018. "Consumer preferences and willingness to pay for Aflatoxin- Free Milk in Pakistan," 2018 Conference, July 28-August 2, 2018, Vancouver, British Columbia 275957, International Association of Agricultural Economists.
    10. Banerji, Abhijit & Birol, Ekin & Karandikar, Bhushana & Rampal, Jeevant, 2016. "Information, branding, certification, and consumer willingness to pay for high-iron pearl millet: Evidence from experimental auctions in Maharashtra, India," Food Policy, Elsevier, vol. 62(C), pages 133-141.

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    More about this item

    Keywords

    Ghana; West Africa; Africa south of Sahara; Africa; Biofortification; maize; Provitamin A; Vitamin A; demand;
    All these keywords.

    JEL classification:

    • C35 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Discrete Regression and Qualitative Choice Models; Discrete Regressors; Proportions
    • C93 - Mathematical and Quantitative Methods - - Design of Experiments - - - Field Experiments
    • D12 - Microeconomics - - Household Behavior - - - Consumer Economics: Empirical Analysis
    • D83 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Search; Learning; Information and Knowledge; Communication; Belief; Unawareness
    • Q18 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Agriculture - - - Agricultural Policy; Food Policy

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