ANALYSIS OF MAIZE INNOVATION SYSTEM OF SMALLHOLDER FARMERS IN NONO BENJA DISTRICT, JIMMA ZONE, SOUTHWEST, ETHIOPIA
DOI:
https://doi.org/10.65062/9t4xws05Keywords:
Maize, Innovation, Smallholder Farmers, System and Logit Model, EthiopiaAbstract
This research aims to analyze the maize innovation system in the Nono Benja district Oromia regional state of Ethiopia with the following specific objective. The data sources are from primary and secondary sources by using structured questioners and semi-structured questions, both quantity and qualitative data types were used.to answer the following research questions to identify actors in maize innovation systems, and to examine the linkage of actors involved in maize innovation systems and determinants of maize innovation systems. For this research, nono Benja was purposefully selected based on the production potential of maize production multi-stage sampling techniques were employed to determine the target population 162 respondents were selected. Descriptive statistics analyzed data mean, frequency, chi-square, t-test, and percentage were used to analyze the socio-economic characteristics of the respondents. the second objectives were analyzed by UCinet software network analysis to achieve the objectives and the third one was analyzed by binary logit model to achieve the relationship b/n participation and nonparticipation of maize variety in the study areas. the result of the software UCinet indicates that the highest linkage among other actors is Jimma zone agriculture and nono Benja agricultural offices 13 numbers and 12 numbers respectively were as main organization mesh for meshen and nono plc industry also obtained high level of indication are actively involved maize innovation system governance. the third result of the logit model indecent that participation in the maize variety system is significantly affected by education level, family size, livestock holding, land holding size, access to market information system, access to credit services, and frequency of extension contact are highly significant at 1%, 5% and 10% affects smallholder farmers maize variety participation. based on the above findings the future line of work the government will solve the problem of weak coordination or linkage of actors involved in the maize innovation system in the study areas.
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