Determinants of Agricultural Technology Adoption: The Case of Improved Highland Maize Varieties in Toke Kutaye District, Oromia Regional State, Ethiopia
Journal of Investment and Management
Volume 7, Issue 4, August 2018, Pages: 125-132
Received: Jun. 24, 2018; Accepted: Sep. 6, 2018; Published: Oct. 9, 2018
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Dawit Milkias, Department of Agricultural Economics Research, Ethiopian Institute of Agricultural Research, Ambo, Ethiopia
Abduselam Abdulahi, Department of Agricultural Economics, Kebridehar University, Kebridehar, Ethiopia
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Improved highland Maize is a new and promising crop gradually becoming important in Ethiopian highlands. Its production is rapidly increasing where it has been a minor crop in the past. The empirical evidences on the determinants of agricultural technology adoption and their intensity of adoption are very limited. In this paper, determinants of adoption and intensity of adoption of improved highland maize varieties were investigated by using descriptive statistics and econometric model (Tobit). Two stage sampling procedure was followed in order to draw 150 sample respondents. The model result revealed that variables such as farm size, household income, access to credit, contact with extension agents, participation in training, and field day were positively and significantly influenced whereas, age of household and market distance negatively influenced adoption and intensity of use of improved highland maize varieties in the study area. Therefore, government policies and intervention on adoption and intensity use of agricultural technology should pay attention and move along with those variables significantly influencing adoption and intensity of use of new agricultural technology.
Adoption, Intensity, Highland Maize, Agricultural Technology, Tobit Model, Ethiopia
To cite this article
Dawit Milkias, Abduselam Abdulahi, Determinants of Agricultural Technology Adoption: The Case of Improved Highland Maize Varieties in Toke Kutaye District, Oromia Regional State, Ethiopia, Journal of Investment and Management. Vol. 7, No. 4, 2018, pp. 125-132. doi: 10.11648/j.jim.20180704.13
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