Development of the Ethiopian economy is directly related to the transformation of the agricultural sector which is manifested with low utilization of recommended agronomic practices, improved farm inputs, and dependency on traditional farming and rainfall. As a result, low production and productivity of agriculture were prevalent over the last years. This study aims to identify the factors influencing adoption of recommended agronomic practices of wheat farming. Two-stage sampling method was applied to select 204 smallholder wheat producing farmers. Simple descriptive statistics and econometrics model such as multivariate probit model were used. The result of the model indicates that formal education level, family size, farm size, distance to the input market, use of chemical fertilizers and the use of credit have negatively and statistically significant effect on adoption decision while offfarm income, access of social media, cultivated land size, and attitude towards risk have positively and statistically significant effect on adoption decision of agronomic practices among wheat producing farmers. Moreover, early planting has a negative effect on distance to input market, farm size, and use of chemical fertilizers. The study recommended that government and other concerned body should develop the supply of inputs provision mechanism, credit, land, awareness creation through media.
Lower and/or inappropriate usages of improved agricultural technologies are among the major of causes for decline of production and productivity of wheat as compared to the potential in Ethiopia. This study aims to measure the status and extent of improved wheat technology adoption and identify its determinants among wheat producing smallholder farmers’ in Sekela district of West Gojjam zone of Ethiopia. Multi-stage sampling techniques used to select 204wheat producing farmers. The study primarily used collected primary data for 2017/18 production year using structured questionnaire. In order to analyze the data, both descriptive statistics and econometrics techniques such as double hurdle model are applied. The result shows that family size, availability of oxen and attitude towards risk affected positively adoption status of wheat production. While, farming experience, and off-farm income affected the extent of improved wheat variety adoption. On the other hand, farm size and cultivated farm land affected negatively the extent of improved wheat varieties adoption. Based on the result, the study recommended that the above factors should be considered both at stages in evaluating strategies aimed at promoting wheat production and productivity of the study area.
Chickpea is the 4th largest foreign currency earning crop of Ethiopia following coffee, sesame and haricot bean and the major cash crop grown in the study area mainly for market. This study was aimed to examine analysis of chickpea market chain in Dembia district. For analysis both primary and secondary data were employed. The primary data were collected from 150 chickpea producers and 30 traders by individual interview schedule based on two stage random sampling. Heckman two-stage model was used to identify factors affecting market participation and volume of sale of chickpea. As the result indicates, the age of household head and non-farm income have affected market participation decision and volume of sale negatively and significantly while education level of the household head, access to market information, farming experience, land allocated to chickpea and lagged market price have been influenced market participation and volume of supply of chickpea positively and significantly. Based on the findings, the government and other policy makers have to increase marketing information and ability of chickpea farmers through opportunities like mass media, extension service, and other means of capacity building.
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