Abstract

The average treatment estimation framework was used to estimate the actual and potential adoption rates of artificial insemination technology in pig and their determinants using responses of 390 randomly selected pig farmers. The sample adoption rate of artificial insemination technology in pig is estimated to be 16% while the potential adoption rate is estimated at 47%. Incomplete diffusion or exposure of the technology in the population has lead to significant adoption gap of 31%. Result of the average treatment estimation probit model for determinants of adoption revealed the existence of significant difference in the coefficients and magnitude of marginal effects compared to the classic adoption model. Results showed that variables such as age of household head, piggery farming experience, maximum number of pigs reared in a year during the last 5years, number of breeding sows, distance to artificial insemination provider centre, access to extension services and participation in training and demonstration programmes on pig were the significant determinants for adoption of artificial insemination technology in small-scale pig production system.

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