TECHNICAL EFFICIENCY OF SNAIL FARMING IN NGOR OKPALA LGA OF IMO STATE, NIGERIA.

Low productivity in agriculture is mainly due to the inability of the farmers to exploit the available technologies fully, resulting in lower efficiencies of production. This study employed a Cobb-Douglas stochastic frontier production function to measure the level of technical efficiency and its determinants in snail production in Ngor Okpala LGA of Imo state, Nigeria. Primary data was generated through the use of closed and open ended structured questionnaire in line with the objectives of the study. Respondents were selected through a systematic random sampling procedure. 40 snail farmers were selected, from whom socioeconomic and input-output data were obtained using the cost-route approach. The parameters of the stochastic frontier production function were estimated using the maximum likelihood method. The study found farm size, labour and feed to be positively and significantly related to output at 5% level of significance. Socioeconomic factors influencing technical efficiency directly were farming experience and credit access at 5% level of significance. Age and stock size were negatively and significantly related to technical efficiency at 5% level of significance. Result of returns to scale analysis showed that snail production is at the stage of increasing returns to scale. We recommend that Snail farmers should have greater access to formal credit facilities from lending institutions in order to expand and improve their production. They should be encouraged to form stronger co-operative societies so as to expand their scope of production and marketing. Farmers are advised to grow most of the green feed stuffs the snails eat to save costs.


Issue Date:
2011
Publication Type:
Journal Article
Record Identifier:
http://ageconsearch.umn.edu/record/267479
ISSN:
0794-4748
Language:
English
Published in:
Nigerian Journal of Agricultural Economics, Volume 02, Number 1
Page range:
100-108




 Record created 2018-01-31, last modified 2018-04-02

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