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Heterogeneous demand for soybean quality

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  • Martey, Edward
  • Goldsmith, Peter

Abstract

Agricultural commercialisation is a critical pathway for economic development in Sub-Saharan Africa (SSA). However, the lack of market information may impede this development. To the best of the authors’ knowledge, this is the first paper to examine market information and preferences for soybean quality in a developing-world context. We seek to understand the nature of information markets associated with the nascent soybean trade in Sub-Saharan Africa in order to inform the market and policy of previously unknown key marketing information. The research involves a discrete choice experiment with 228 buyers of soybean involving five key soybean quality attributes. The sample represents three distinct classes of buyer/traders: wholesalers, processors and retailers. Traders significantly discount the price of soybean attributes such as off-colour, small grain size, low oil levels and high contamination with foreign material, such as stones. Foreign material ranks highest of the attributes that we examined, in terms of the discount level, at 22%. The study finds significant preference heterogeneity among traders, explained partly by the socioeconomic and trade characteristics of the respondents. We identified three distinct classes of traders per the latent class logit (LCL) results, namely ‘high price discounters’, ‘big bean supporters’, and ‘oil sceptics’. Our findings improve soybean market information, transparency and signalling. This will lead farmers to be more efficient and allow policymakers to understand better how the market actually prices grain at the farm gate.

Suggested Citation

  • Martey, Edward & Goldsmith, Peter, 2020. "Heterogeneous demand for soybean quality," African Journal of Agricultural and Resource Economics, African Association of Agricultural Economists, vol. 15(01), March.
  • Handle: RePEc:ags:afjare:307615
    DOI: 10.22004/ag.econ.307615
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    References listed on IDEAS

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    1. Ward, Patrick S. & Ortega, David L. & Spielman, David J. & Singh, Vartika, 2014. "Heterogeneous Demand for Drought-Tolerant Rice: Evidence from Bihar, India," World Development, Elsevier, vol. 64(C), pages 125-139.
    2. Arne Risa Hole, 2007. "A comparison of approaches to estimating confidence intervals for willingness to pay measures," Health Economics, John Wiley & Sons, Ltd., vol. 16(8), pages 827-840, August.
    3. Kadjo, Didier & Ricker-Gilbert, Jacob & Alexander, Corinne, 2016. "Estimating Price Discounts for Low-Quality Maize in sub-Saharan Africa: Evidence from Benin," World Development, Elsevier, vol. 77(C), pages 115-128.
    4. David Hensher & William Greene, 2010. "Non-attendance and dual processing of common-metric attributes in choice analysis: a latent class specification," Empirical Economics, Springer, vol. 39(2), pages 413-426, October.
    5. Carson, Richard T. & Czajkowski, Mikołaj, 2019. "A new baseline model for estimating willingness to pay from discrete choice models," Journal of Environmental Economics and Management, Elsevier, vol. 95(C), pages 57-61.
    6. Akramov, Kamiljon T. & Malek, Mehrab, 2012. "Analyzing profitability of maize, rice, and soybean production in Ghana: Results of PAM and DEA analysis," GSSP working papers 28, International Food Policy Research Institute (IFPRI).
    7. Bhat, Chandra R., 2001. "Quasi-random maximum simulated likelihood estimation of the mixed multinomial logit model," Transportation Research Part B: Methodological, Elsevier, vol. 35(7), pages 677-693, August.
    8. Lee, Nicole & Reynolds, Daniel & Awuni, George, 2019. "The State of Soybean in Africa: Agronomy in African Smallholder Systems," farmdoc daily, University of Illinois at Urbana-Champaign, Department of Agricultural and Consumer Economics, vol. 9(150), August.
    9. Hoffmann, Vivian & Gatobu, Ken Mwithirwa, 2014. "Growing their own: Unobservable quality and the value of self-provisioning," Journal of Development Economics, Elsevier, vol. 106(C), pages 168-178.
    10. Train,Kenneth E., 2009. "Discrete Choice Methods with Simulation," Cambridge Books, Cambridge University Press, number 9780521766555, July.
    11. David Revelt & Kenneth Train, 1998. "Mixed Logit With Repeated Choices: Households' Choices Of Appliance Efficiency Level," The Review of Economics and Statistics, MIT Press, vol. 80(4), pages 647-657, November.
    12. Kelvin J. Lancaster, 1966. "A New Approach to Consumer Theory," Journal of Political Economy, University of Chicago Press, vol. 74(2), pages 132-132.
    13. Daniel McFadden & Kenneth Train, 2000. "Mixed MNL models for discrete response," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 15(5), pages 447-470.
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