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Marketing efficiency of cassava products in Delta State, Nigeria: A stochastic profit frontier approach

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  • Rahman, Sanzidur
  • Awerije, Brodrick O.

Abstract

The present study estimates the level of marketing margin and marketing efficiency of cassava products (i.e., root tuber, gari, fufu, tapioca, starch, and flour) of 105 marketers from three regions of Delta State, Nigeria using a stochastic profit frontier approach. Results reveal that a rise in purchase price of cassava products as well as unit marketing cost significantly reduce marketing margin. A rise in sale price of cassava products increase marketing margin as expected. Marketing experience significantly improves marketing margin as expected. The mean level of marketing efficiency is very low estimated at 55% implying that marketing margin can be substantially increased by eliminating inefficiency arising out of inappropriate allocation of resources, response to prices and scale of operation. Marketing efficiency is significantly higher for marketers who are farmers and the gender of marketer has no impact on efficiency. However, marketers in the Northern Delta region are relatively efficient but inefficient in Central Delta relative to Southern Delta. Policy implications include investment in market infrastructure to reduce fluctuation in prices and marketing costs and training on marketing and market functions for marketers to develop marketing experience.

Suggested Citation

  • Rahman, Sanzidur & Awerije, Brodrick O., 2014. "Marketing efficiency of cassava products in Delta State, Nigeria: A stochastic profit frontier approach," International Journal of Agricultural Management, Institute of Agricultural Management, vol. 4(1), October.
  • Handle: RePEc:ags:ijameu:262340
    DOI: 10.22004/ag.econ.262340
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    References listed on IDEAS

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    1. Rahman, Sanzidur, 2003. "Profit efficiency among Bangladeshi rice farmers," Food Policy, Elsevier, vol. 28(5-6), pages 487-503.
    2. A. Gelan & B.W. Muriithi, 2012. "Measuring and explaining technical efficiency of dairy farms: a case study of smallholder farms in East Africa," Agrekon, Taylor & Francis Journals, vol. 51(2), pages 53-74.
    3. Boris Bravo-Ureta & Daniel Solís & Víctor Moreira López & José Maripani & Abdourahmane Thiam & Teodoro Rivas, 2007. "Technical efficiency in farming: a meta-regression analysis," Journal of Productivity Analysis, Springer, vol. 27(1), pages 57-72, February.
    4. Adesina, Akinwumi A. & Djato, Kouakou K., 1997. "Relative efficiency of women as farm managers: Profit function analysis in Cote d'Ivoire," Agricultural Economics, Blackwell, vol. 16(1), pages 47-53, March.
    5. Subal C. Kumbhakar, 2001. "Estimation of Profit Functions When Profit Is Not Maximum," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 83(1), pages 1-19.
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    Cited by:

    1. Rahman, Sanzidur & Daniel Chima, Chidiebere, 2015. "Determinants of modern technology adoption in multiple food crops in Nigeria: a multivariate probit approach," International Journal of Agricultural Management, Institute of Agricultural Management, vol. 4(3), April.

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