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Idrisa et al.

Greener Journal of  Agricultural Sciences Vol. 2 (2),  March 2012.

  ISSN: 2276-7770


Logit and Tobit analyses of the determinants of likelihood of adoption and extent of adoption of improved soybean seed in Borno State, Nigeria

 

*Idrisa Y.L.1 , Ogunbameru B.O.1 and Madukwe M.C.2

 

1Department of Agricultural Extension Services, University of Maiduguri, Nigeria.

2 Department of Agricultural Extension, University of Nigeria, Nsukka, Nigeria.

 

*Corresponding Author’s Email: idrisaysf @yahoo. com

Abstract:

This study examined the determinants of adoption of improved soybean seeds among farmers in southern Borno State, Nigeria. Data for the study were obtained from 360 respondents selected through multi-stage sampling procedure. Inferential statistical techniques namely the Logit model and the Tobit model were used to estimate the likelihood of technology adoption among respondents and the extent of adoption of improved soybean seeds by the respondents, respectively. Yield of soybean and distance to source of improved seeds were statistically significant factors (ρ ≤ 0.01) that influenced the likelihood of adoption of improved soybean seeds among the respondents. Farm size and distance of respondents to source of improved soybean seeds were statistically significant factors (ρ ≤ 0.01) that influenced the extent of adoption of improved soybean seeds among the respondents. Based on the findings of this study, it is recommended that improved technologies in the form of high yielding seeds varieties should be made available to farmers. Farm service centers should be established within reasonable distance from farming communities. This is the bring technologies closer to farmers, thereby reducing the risks that farmers have to encounter to get farm inputs.

Keywords: Analysis, Determinants, Adoption, Improved seeds, Nigeria.

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