2 research outputs found
Social network and innovation dissemination among farmers in Kwara State, Nigeria
Agricultural innovation has tremendous potentials to improve the welfare of the rural poor. Yet, many new technologies that seem profitable in demonstration plots are not widely adopted due to inadequate social groups linking the farmers to the researchers which result to non-effective information dissemination. There is no adequate link between the farmers and the social groups which are very pivotal to the adoption of innovation and its eventual usage. This study therefore looked at social network and innovation dissemination among farmers in Kwara state Nigeria. This research specifically examined the impact of social network among the farmers in the study area and estimated the correlation of individual farmer’s choices and social network behaviour. A two-stage approach was used in data selection; the first stage was purposive and second involved the random selection technique to collect data from 125 respondents in the study area. Descriptive statistic, Social Network Analysis (SNA), and Qap correlation were the tools employed. The result of the analysis showed that farmers who are members of social group adopt innovation faster. The p-value at 5% signified that there is no correlation between the farmer choice behaviour and social network behaviour. This implies that farmer tend to behave differently under different conditions as regards their choice of innovation adoption., However, when farmers are members of a social group, their decision tend to be different from when they were not and thus, there is a need for adequate information link between researchers and the farmers. Female farmers should be encouraged to join social group as measure to enhance innovation adoption.Keywords: Social Network Analysis (SNA), Qap Correlation and Innovatio