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.
Published in | Journal of Investment and Management (Volume 7, Issue 4) |
DOI | 10.11648/j.jim.20180704.13 |
Page(s) | 125-132 |
Creative Commons |
This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited. |
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Copyright © The Author(s), 2018. Published by Science Publishing Group |
Adoption, Intensity, Highland Maize, Agricultural Technology, Tobit Model, Ethiopia
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APA Style
Dawit Milkias, Abduselam Abdulahi. (2018). 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, 7(4), 125-132. https://doi.org/10.11648/j.jim.20180704.13
ACS Style
Dawit Milkias; Abduselam Abdulahi. Determinants of Agricultural Technology Adoption: The Case of Improved Highland Maize Varieties in Toke Kutaye District, Oromia Regional State, Ethiopia. J. Invest. Manag. 2018, 7(4), 125-132. doi: 10.11648/j.jim.20180704.13
AMA Style
Dawit Milkias, Abduselam Abdulahi. Determinants of Agricultural Technology Adoption: The Case of Improved Highland Maize Varieties in Toke Kutaye District, Oromia Regional State, Ethiopia. J Invest Manag. 2018;7(4):125-132. doi: 10.11648/j.jim.20180704.13
@article{10.11648/j.jim.20180704.13, author = {Dawit Milkias and Abduselam Abdulahi}, title = {Determinants of Agricultural Technology Adoption: The Case of Improved Highland Maize Varieties in Toke Kutaye District, Oromia Regional State, Ethiopia}, journal = {Journal of Investment and Management}, volume = {7}, number = {4}, pages = {125-132}, doi = {10.11648/j.jim.20180704.13}, url = {https://doi.org/10.11648/j.jim.20180704.13}, eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.jim.20180704.13}, abstract = {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.}, year = {2018} }
TY - JOUR T1 - Determinants of Agricultural Technology Adoption: The Case of Improved Highland Maize Varieties in Toke Kutaye District, Oromia Regional State, Ethiopia AU - Dawit Milkias AU - Abduselam Abdulahi Y1 - 2018/10/09 PY - 2018 N1 - https://doi.org/10.11648/j.jim.20180704.13 DO - 10.11648/j.jim.20180704.13 T2 - Journal of Investment and Management JF - Journal of Investment and Management JO - Journal of Investment and Management SP - 125 EP - 132 PB - Science Publishing Group SN - 2328-7721 UR - https://doi.org/10.11648/j.jim.20180704.13 AB - 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. VL - 7 IS - 4 ER -