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Transaction Costs and Food Prices in Rural Kenya

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  • Steffen, Christoph
  • Yu, Xiaohua

Abstract

While there is rich literature covering theoretical concepts of transaction costs very few empirical strategies have been provided to estimate them. The theoretical framework proposed in this paper is based on a unit value decomposition and defines transaction costs as the difference between a unit value and a frontier value realized in a situation without transaction costs. Estimates of transaction costs are obtained by means of stochastic frontier models with the data from Kenyan maize farmers. We find a magnitude of 12-18% for maize transactions in rural Kenya and identify drive time, market distance, education and counterparts in negotiations as main determinants.

Suggested Citation

  • Steffen, Christoph & Yu, Xiaohua, 2018. "Transaction Costs and Food Prices in Rural Kenya," Department of Agricultural and Rural Development (DARE) Discussion Papers 274537, Georg-August-Universitaet Goettingen, Department of Agricultural Economics and Rural Development (DARE).
    • Handle: RePEc:ags:gadadp:274537
    DOI: 10.22004/ag.econ.274537
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    References listed on IDEAS

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    1. Li, Zhigang & Yu, Xiaohua & Zeng, Yinchu & Holst, Rainer, 2012. "Estimating transport costs and trade barriers in China: Direct evidence from Chinese agricultural traders," China Economic Review, Elsevier, vol. 23(4), pages 1003-1010.
    2. Nigel Key & Elisabeth Sadoulet & Alain De Janvry, 2000. "Transactions Costs and Agricultural Household Supply Response," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 82(2), pages 245-259.
    3. Barrett, Christopher B., 2008. "Smallholder market participation: Concepts and evidence from eastern and southern Africa," Food Policy, Elsevier, vol. 33(4), pages 299-317, August.
    4. Agham C. Cuevas, 2014. "Transaction Costs of Exchange in Agriculture: A Survey," Asian Journal of Agriculture and Development, Southeast Asian Regional Center for Graduate Study and Research in Agriculture (SEARCA), vol. 11(1), pages 21-38, June.
    5. Wollni, Meike & Brümmer, Bernhard, 2012. "Productive efficiency of specialty and conventional coffee farmers in Costa Rica: Accounting for technological heterogeneity and self-selection," Food Policy, Elsevier, vol. 37(1), pages 67-76.
    6. Steven Were Omamo, 1998. "Transport Costs and Smallholder Cropping Choices: An Application to Siaya District, Kenya," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 80(1), pages 116-123.
    7. Kumbhakar, Subal C & Ghosh, Soumendra & McGuckin, J Thomas, 1991. "A Generalized Production Frontier Approach for Estimating Determinants of Inefficiency in U.S. Dairy Farms," Journal of Business & Economic Statistics, American Statistical Association, vol. 9(3), pages 279-286, July.
    8. Cuevas, Agham C., 2014. "Transaction Costs of Exchange in Agriculture: A Survey," Asian Journal of Agriculture and Development, Southeast Asian Regional Center for Graduate Study and Research in Agriculture (SEARCA), vol. 11(1), pages 1-18, June.
    9. Hung-Jen Wang, 2002. "Heteroscedasticity and Non-Monotonic Efficiency Effects of a Stochastic Frontier Model," Journal of Productivity Analysis, Springer, vol. 18(3), pages 241-253, November.
    10. Olwande, John & Smale, Melinda & Mathenge, Mary K. & Place, Frank & Mithöfer, Dagmar, 2015. "Agricultural marketing by smallholders in Kenya: A comparison of maize, kale and dairy," Food Policy, Elsevier, vol. 52(C), pages 22-32.
    11. Hung-jen Wang & Peter Schmidt, 2002. "One-Step and Two-Step Estimation of the Effects of Exogenous Variables on Technical Efficiency Levels," Journal of Productivity Analysis, Springer, vol. 18(2), pages 129-144, September.
    12. Battese, G E & Coelli, T J, 1995. "A Model for Technical Inefficiency Effects in a Stochastic Frontier Production Function for Panel Data," Empirical Economics, Springer, vol. 20(2), pages 325-332.
    13. Aigner, Dennis & Lovell, C. A. Knox & Schmidt, Peter, 1977. "Formulation and estimation of stochastic frontier production function models," Journal of Econometrics, Elsevier, vol. 6(1), pages 21-37, July.
    14. Peter Schmidt, 2011. "One-step and two-step estimation in SFA models," Journal of Productivity Analysis, Springer, vol. 36(2), pages 201-203, October.
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    Keywords

    Community/Rural/Urban Development; Demand and Price Analysis; Food Security and Poverty; Industrial Organization;
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