Applied Economic Modeling And Forecasting With (Financial Policy Analysis and Management)

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Browsing Applied Economic Modeling And Forecasting With (Financial Policy Analysis and Management) by Subject "Multinomial logit"

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    The Determinants of Agricultural Technology Adoption and its’ Impact on Teff Productivity in the Case of Amhara and Oromia National Regional State
    (Addis Ababa University, 2018-06) Etsehiwot, Semreab; Hailu, Eleas (PhD)
    Enhancing the productivity of agriculture sector plays a vital role for country like Ethiopia where reducing poverty and sustaining food security is government’s main agenda. In order to enhance the productivity of agriculture sector, Ethiopian government promotes adoption of multiple agriculture technology. However, in most of the rural areas of Ethiopian farmers adopt single and mix of technology rather than adopting all available practices. As a result, understanding the determinant of adoption of multiple agricultural technology and its impacts on productivity is essential to design appropriate policy options for the wider adoption process. Thus, this study analyzes farmer’s choice of single and combination choice of agricultural technologies (i.e. improved teff variety, fertilizer and row planting) and evaluates the impact of these technologies on the productivity of teff. The study used EDRIs' teff value chain data which was collected from 1200 households in Amhara and Oromia regions during 2012. Multinomial logit and endogenous switching regression models were employed to achieve the above objectives. The result of endogenus swiching model reveals that adoption of agricultural technologies has a positive and significant impact on productivity of tef. Moreover the result of the study also shows that full technology adopters’ are more productive than other alternative technology adopters. According to the multinomial logit result, technology adoption is positively related with sex, education, soil fertility, contact with an extension and DAs’ visit. But adoption of agriculture technologies have negative and significant relation with age, distance to main road, distance to the input and out market, parcel ownership and farm size. The study recommends that the government should enhance DAs’ and extension service, increase the access of infrastructure, and encourage women by giving especial service like credit access, extension service and community discussion to widespread the adoption of agricultural technologies.