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Efficiency Of Ginger Production In Selected Local Government Areas Of Kaduna State, Nigeria

Listed author(s):
  • NdaNmadu, Job
  • Marcus, Philemon Lekwot
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    This study examined the profitability and efficiency of small scale ginger production in selected Local Government Areas of Kaduna State using data collected through personal interview schedules with structured questionnaire. Results from the study showed that majority (96.0%) of ginger farmers are male with an average age and farming experience of 42 and 27 years respectively. Majority of the respondents (82.5%) are married and possess an average farm size of 3.09hectares. The average household size is 7 and up to 46% of them acquired secondary education. The results also revealed that labor, seed, fertilizer and capital inputs were significant in explaining the output. The mean technical efficiency of 0.799 indicate that an average ginger farmer in the study area will enjoy an output increase of 18.55% if management techniques are improved and he attains the level of the most efficient ginger farmer. Among the various factors affecting inefficiency, farm size and extension contact accentuated inefficiency while access to credit suppressed inefficiency. This might be an indication that the two parameters that encouraged inefficiency were over-employed. Hence, in order to attain the production frontier of the most efficient farmer, farm size should be scaled down or additional quantity of other inputs should be employed. Price fluctuation, unavailability of farm input, poor remunerative price and poor access to credit are the major constraints faced by ginger farmers in the study area. There is need for policies aimed at encouraging extension education, commercial farming, access to credit, and transport facilities.

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    Article provided by Alanya Alaaddin Keykubat University, Department of Economics and Finance in its journal International Journal of Food and Agricultural Economics (IJFAEC).

    Volume (Year): 1 (2)
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    Handle: RePEc:ags:ijfaec:160093
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    1. Zhu, Joe, 2000. "Multi-factor performance measure model with an application to Fortune 500 companies," European Journal of Operational Research, Elsevier, vol. 123(1), pages 105-124, May.
    2. Coelli, Tim J. & Battese, George E., 1996. "Identification Of Factors Which Influence The Technical Inefficiency Of Indian Farmers," Australian Journal of Agricultural Economics, Australian Agricultural and Resource Economics Society, vol. 40(02), August.
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