Abstract:
Coffee is an important economically cash crop in Ethiopia to generate additional income and
supporting livelihoods of the poor. The major objective of research is factor affecting farmers’
participation in coffee marketing to farmers’ cooperative in the case of Gachi district, BunnoBedelle zone, Oromia, regional state, Ethiopia. Three stages sampling technique was used to
select coffee producing kebeles and sample farm households head. The first stratify kebele in
agro ecology, the second select kebele randomly from each agro-ecology and third select
randomly household head. Both primary and secondary data was collected for these studies.
Primary data were collected from the total coffee producers, 149 household heads were
selected randomly based on probability proportional to population size. Secondary data were
collected from government organization. Data were analyzed using descriptive statistics and
econometric models. Descriptive analysis like percentage, frequency, mean and standard
deviation. A Double hurdle model was applied to analyze identify factor affecting farmers
participation in coffee marketing to farmers’ cooperative. The result of the descriptive statistics
showed that in the study area about the importance of collective action of respondents, due to
that the educational background of the sample household is believed to be an important feature
that determines the readiness of household to accept new ideas and innovations Decision on
coffee marketing to Farmers’ cooperative. Credit was accessible and available for poor farmers
to build asset and food secured by purchasing the different packages designed by the regional
government in the study area, there is lack of attention to access and avail credit for coffee
producers. The result of the probit regression model estimates indicates that out of the
16(sixteen) factors included, 8(eight) variables were found to have a significant influence on the
probability of being Decision on coffee marketing to Farmers’ Cooperatives at 1%,5% and
10% significant level. The variables considered were Sex, household farm size, coffee farm
experience, Access to credit, Frequency extension of contact, access to transport, Access to
market information, obtaining training. The results of the truncated regression model estimate
were found to have significant influence on the factors affecting farmers’ level of sell in coffee
marketing. The variable considered were sex household, educational level of household, and
Frequency extension of contact, obtaining training and Access to market information. The result
of the study showed positive and significant relationship between access to market information
head and farmers’ level of participation in selling coffee product to farmers’ cooperatives at
10% significance level. It is recommended that increasing educational entitlement, increase
extension contact, facilitating credit service and increase market information helps to improve
farmers participation in coffee marketing to farmers’ cooperative
