DSpace
 

University of Jos Institutional Repository >
Agriculture >
Agricultural Economics/Extension >

Please use this identifier to cite or link to this item: http://hdl.handle.net/123456789/2825

Title: Increasing Production Efficiency of Ginger for Poverty Alleviation in Kaduna State, Nigeria: A Stochastic Frontier Approach
Authors: Mailumo, Sunday
Dawang, Charles
Okeke-Agulu, Kinsley
Issue Date: 2014
Publisher: International Journal of Development and Sustainability
Citation: Mailumo, S., Dawang, C. and Okeke-Agulu, K. (2014), “Increasing production efficiency of ginger for poverty alleviation in Kaduna state, Nigeria: A stochastic frontier approach”, International Journal of Development and Sustainability, Vol. 3 No. 7, pp. 1468-1476.
Series/Report no.: Vol.3;No.7; Pp 1468-1476
Abstract: The study analysed the technical efficiency of ginger production among farmers in Jema’s, North Central Nigeria. A multi-stage simple random sampling technique was used to obtain a sample of 100 farmers. Data generated were analysed using the stochastic frontier production function. The result shows that fertilizer, herbicides and labour were significant determinants of farm output. The result also shows that the maximum efficiency of the ginger farmers was 0.98 while minimum efficiency was 0.55 with mean efficiency of 0.77.The result of the inefficiency effects model showed that none of the variables has significant effect on the technical efficiency of the farmers. Thus, most of the technical inefficiency is accounted for by factors that are not captured in the model. Implications are that ginger enterprise should be made more attractive by the provision of modern farm technologies and farmers’ cooperative societies should be involved in the supply of production inputs to prospective farmers. Farmers should further be motivated through adequate markets for ginger to enhance their production and increased living standards.
URI: http://hdl.handle.net/123456789/2825
ISSN: 2168-8662
Appears in Collections:Agricultural Economics/Extension

Files in This Item:

File Description SizeFormat
IJDS.pdf-2014.pdf775.96 kBAdobe PDFView/Open
View Statistics

Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.

 

Valid XHTML 1.0! DSpace Software Copyright © 2002-2010  Duraspace - Feedback