IDEAS home Printed from
   My bibliography  Save this article

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


  • NdaNmadu, Job
  • Marcus, Philemon Lekwot


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.

Suggested Citation

  • NdaNmadu, Job & Marcus, Philemon Lekwot, 2. "Efficiency Of Ginger Production In Selected Local Government Areas Of Kaduna State, Nigeria," International Journal of Food and Agricultural Economics (IJFAEC), Alanya Alaaddin Keykubat University, Department of Economics and Finance, vol. 1.
  • Handle: RePEc:ags:ijfaec:160093

    Download full text from publisher

    File URL:
    Download Restriction: no

    References listed on IDEAS

    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.
    Full references (including those not matched with items on IDEAS)


    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:ags:ijfaec:160093. See general information about how to correct material in RePEc.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (AgEcon Search). General contact details of provider: .

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service hosted by the Research Division of the Federal Reserve Bank of St. Louis . RePEc uses bibliographic data supplied by the respective publishers.