The drivers of perception and adoption of aquaculture innovations were studied. Data obtained from 300 aquaculture operators, were analyzed using Heckman Probit sample selection model. Results revealed that perception and adoption of aquaculture innovations were high. Education (a=0.281), extension contact (a=0.149), experience (a=0.021), gender (a=0.440) and information source (a=0.145) increased the likelihood of positive perception of innovations, while age (a=-0.456), primary occupation (a=-1.54) and distance to urban center (a=-0.55) were negatively signed. Technical know-how (b=0.116), “other income” (b=1.17-e06), education (b=0.115) and gender (b=0.11) were drivers of adoption. Access to credit (b=-0.074), age (b=-0.095), pond size (b=-0.094) and Information source (b=-0.05) were negatively related to adoption. Adoption of innovation will rely on policies involving on these relationships. In doing these, attention should be paid to variables with conflicting influences on perception and adoption. Electronic sources may be employed in introducing an innovation, followed by personal contacts with experienced fish farmers. Furthermore, assisting fish farmers to increase incomes from other sources might be a better funding alternative for innovation adoption than credit. Provision of practically oriented education will elicit adoption. Provision of productive resources and reduced domestic burdens on female folks will increase their likelihood of innovation perception and adoption.
Key words: Drivers, perception, adoption, aquaculture, innovation, Heckman Probit.
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