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Identifying Sources Of Efficiency Among Resource Poor Indigenous Vegetable Farmers In Uyo, Nigeria

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  • Etim, Nsikak-Abasi A.
  • Udoh, Edet J.

Abstract

Indigenous vegetables have historically played an important role in farming and consumption systems in Nigeria. Vegetable production like any other farming activity requires the use of inputs as efficiently as possible to optimize production. To identify the sources of efficiency among indigenous vegetable farmers, the stochastic frontier production function which incorporates a model for the technical efficiency effect was employed. Data from 100 indigenous vegetable (waterleaf) producers were obtained through two-stage sampling procedure with the aid of questionnaire. Using the maximum likelihood estimation analysis, asymptotic parameter estimates were evaluated to describe efficiency sources. Results revealed that the average resource use efficiency is 0.81 (81%) leaving an inefficiency gap of 0.19 (19%), indicating that about 19% higher production could be achieved using the same input mix. Land, labour, waterleaf cuttings were evaluated and identified as the most critical efficiency sources. Age, access to credit facilities, and market were identified as the most important explainers of inefficiency. To derive the benefits of economies of scale, indigenous waterleaf producers should increase their farm sizes devoted to waterleaf cultivation either by land consolidation or acquiring new farm plots.

Suggested Citation

  • Etim, Nsikak-Abasi A. & Udoh, Edet J., 2014. "Identifying Sources Of Efficiency Among Resource Poor Indigenous Vegetable Farmers In Uyo, Nigeria," International Journal of Food and Agricultural Economics (IJFAEC), Alanya Alaaddin Keykubat University, Department of Economics and Finance, vol. 2(1), pages 1-7, January.
    • Handle: RePEc:ags:ijfaec:163707
    DOI: 10.22004/ag.econ.163707
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    1. Adelekun, Christianah & Ayanwale, Adeolu, 2021. "Measuring Efficiencies and Slack in the Production of Indigenous Vegetables in Southwestern, Nigeria," 2021 Conference, August 17-31, 2021, Virtual 315139, International Association of Agricultural Economists.

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