Abstract
Coffee is the major source of income for smallholder farmers and it is leading export crop for Ethiopia. Identifying factors affecting Coffee production is very important to improve the production coffee in the country. This paper is focused on the factors that affect the production of coffee in Mizan-Aman district. Using simple random sampling 124 Coffee farmers were selected in Mizan-Aman district. The data was gathered by prepared questionnaires and analyzed by IBM SPSS version 20. From the total of 124 farmers 70 (56.5%) are males and 54 (43.5%) are females and the peak age of the coffee producer is 59 years, while the least age is 26 years. The experience of coffee producer was estimated on average 8 years and five months. Multiple linear regressions is made and the regression results revealed that factors such as education level, types of coffee, farmers total income and farm size are determinants of coffee production. Therefore the conclusion is that the farmers should develop their education level to maximize their coffee production and coffee producing farmers have to use different types of coffee seeds to maximize their production. Not only these but also farmer’s income and farm size are very important factors that increase coffee production. Generally from the paper, coffee production will improved if the farmers and agricultural workers incorporate the determinants identified by this study.
Highlights
Coffee is the major source of income for smallholder farmers and it is leading export crop for Ethiopia
Homoscedasticity and Normality Plotting the standardized residuals against time order are helpful to study whether a linear regression function is appropriate and to examine the variance of the error term is constant
That means at least one regression parameter is different from null and at least one of the predictor variable is determinant for coffee production
Summary
Bench-Shako Zone: In Case of Mizan-Aman District, Southwest Ethiopia inputs used in production These input factors were farming labor, capital, land, chemical fertilizers, improved seeds, irrigation, agrochemicals, extension, and service sector outputs [6]. Another study that done from West Hararghe Zone, Daro Labu district that based on factors affecting coffee productivity with 120 coffee producers and analyzed by Cobb-Douglas production function revealed that; fertilizer, coffee farm size, family labor, coffee farming experience, land allocated for Khat were significant variables [8] while another paper reported poor adoption [9]. The farmers were not greatly benefited from coffee they produce due to various determinants in the Bench-Maji zone and the income from production of coffee in that area is not fulfilling the needs of a lot of farmers in the district [4]. It helps agricultural workers to give full aid for the farmers that produce low coffee
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