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Evaluating Preferences for Organic Product Attributes in Nigeria: Attribute non-attendance under explicit and implicit priming task


  • Bello, Muhammad Baba
  • Abdulai, Awudu


In this paper, we employ a framework that allows us to jointly model the response to the stated choice component as well as the response to the attribute processing questions for organic product attributes among consumers in Nigeria. The model allows us to make use of respondent reported information on processing strategies and conditions attribute parameters on underlying latent attribute importance ratings, while avoiding the potential endogeneity bias and measurement error problems arising with traditional methods. Using between-sample design, we compare the welfare estimates from respondents under cheap talk and honesty priming treatments. Our results suggest that the HP task leads to lower WTP values by a factor of two relative to cheap talk task, for three of the four attributes identified. Our findings also reveal some modest impacts on implied WTP patterns, with a more realistic difference between the valuations for the attributes, and lower overall heterogeneity relative to the commonly used mixed multinomial logit model.

Suggested Citation

  • Bello, Muhammad Baba & Abdulai, Awudu, 2015. "Evaluating Preferences for Organic Product Attributes in Nigeria: Attribute non-attendance under explicit and implicit priming task," 2015 AAEA & WAEA Joint Annual Meeting, July 26-28, San Francisco, California 205085, Agricultural and Applied Economics Association.
  • Handle: RePEc:ags:aaea15:205085
    DOI: 10.22004/ag.econ.205085

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    References listed on IDEAS

    1. Rodolfo M. Nayga, Jr. & Ximing Wu & Robert G. Brummett, 2007. "On the Use of Cheap Talk in New Product Valuation," Economics Bulletin, AccessEcon, vol. 2(1), pages 1-9.
    2. Gregory L. Poe & Kelly L. Giraud & John B. Loomis, 2005. "Computational Methods for Measuring the Difference of Empirical Distributions," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 87(2), pages 353-365.
    3. Richard C. Ready & Patricia A. Champ & Jennifer L. Lawton, 2010. "Using Respondent Uncertainty to Mitigate Hypothetical Bias in a Stated Choice Experiment," Land Economics, University of Wisconsin Press, vol. 86(2), pages 363-381.
    4. Oelofse, Myles & H√łgh-Jensen, Henning & Abreu, Lucimar S. & Almeida, Gustavo F. & Hui, Qiao Yu & Sultan, Tursinbek & de Neergaard, Andreas, 2010. "Certified organic agriculture in China and Brazil: Market accessibility and outcomes following adoption," Ecological Economics, Elsevier, vol. 69(9), pages 1785-1793, July.
    5. David Aadland & Arthur J. Caplan, 2003. "Willingness to Pay for Curbside Recycling with Detection and Mitigation of Hypothetical Bias," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 85(2), pages 492-502.
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    Cited by:

    1. Jelili Adegboyega Adebiyi & Laura Schmitt Olabisi & Robert Richardson & Lenis Saweda O Liverpool-Tasie & Kathleen Delate, 2019. "Drivers and Constraints to the Adoption of Organic Leafy Vegetable Production in Nigeria: A Livelihood Approach," Sustainability, MDPI, Open Access Journal, vol. 12(1), pages 1-21, December.

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    Consumer/Household Economics; Environmental Economics and Policy; International Development;

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