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

@article{Idrisa2012LogitAT,
  title={Logit and Tobit analyses of the determinants of likelihood of adoption and extent of adoption of improved soybean seed in Borno State, Nigeria},
  author={Y. L. Idrisa and B. O. Ogunbameru and Michael C. Madukwe},
  journal={Greener Journal of Agricultural Sciences},
  year={2012},
  volume={2},
  pages={037-045}
}
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… 

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