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Determinants of Agricultural Technology Adoption: The Case of Improved Highland Maize Varieties in Toke Kutaye District, Oromia Regional State, Ethiopia

Received: 24 June 2018    Accepted: 06 September 2018    Published: 09 October 2018
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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.

DOI 10.11648/j.jim.20180704.13
Published in Journal of Investment and Management (Volume 7, Issue 4, August 2018)
Page(s) 125-132
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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.

Copyright

Copyright © The Author(s), 2024. Published by Science Publishing Group

Keywords

Adoption, Intensity, Highland Maize, Agricultural Technology, Tobit Model, Ethiopia

References
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[2] African Biotechnology stakeholders Forum (ABSF), (2010).“Maize Production and Improvement in Sub-Saharan Africa”, first published by the African Biotechnology Nairobi, Kenya”.Assessment of Evidence. EPDT Discussion Paper No. 87, International Food Policy Research Authorization of a New Plant Biotechnology Derived Trait. A Consultancy Study for Crop Life.
[3] Bandiera, O., and I.Rasul, (2006).“Social Networks and Technology Adoption in Northern Mozambique”. nb(2006).
[4] Briney, A., (2015).“History and Development of Green Revolution”. Available at: http://geography.Contemporary Issues in Technology and Teacher Education [Online serial] 2(2). Retrieved from Contemporary Issues in Technology and Teacher Education [Online serial] 2(2). Retrieved from Cornell University, Ithaca.
[5] CSA (Central Statistical Agency), (2011). “National Statistics report abstract”. Addis Ababa, Ethiopia.
[6] Demissew et al., (2013).“Farmers’ Perceptions of Maize Production Systems and Breeding Priorities, and Their Implications for the Adoption of New Varieties in Selected Areas of the Highland Agro-Ecology of Ethiopia”, Journal of Agricultural Science; Vol. 5, No. 11; 2013: ISSN 1916-9752 E-ISSN 1916-9760: Published by Canadian Center of Science and Education, Canada.
[7] Dethier, J.-J., and A. Effenberger, (2012).“Agriculture and Development”: A Brief Review of the Dibba, L., S.C.
[8] Fialor, A. Diagne, and F. Nimoh, (2012).“The Impact of NERICA Adoption on educational-Technology”.Farmers in Mozambique. Staff Papers, Department of Applied Economics and Management, Getting-a-Biotech-Crop-to-Market-Phillips-McDougall-Study.pdf.http://www.citejournal.org/volume-2/issue-2-02/general/the-path-to-teacher-leadership-ineducationalTechnology. http://www.citejournal.org/volume-2/issue-2-02/ general/the- path-to-teacher- leadership-inin the Soybean Complex. Agribusiness 16 (1): 33–55.Institute, Washington, DC.
[9] Feder, G.R., Just R.E. & Zilberman, D., (1985).“Adoption of Agricultural innovations in developing countries”: A survey data. Economic Development and Cultural Change, 33:255-298.
[10] Maddala, G.S., (1992).“Introduction to Econometrics”. Second Edition, New York”. Macmillan Publishing Company.
[11] Mcdonald, J.F., and R.A. Moffit, (1980).“The uses of Tobit Analysis”. Review of Economics and Statistics 62(2):318-321.
[12] Moshini, G., H.Lapan, and A. Sobolevsky, (2000).“Roundup Ready Soybeans and Welfare Effects”.nb(2000).
[13] Mosisa et al.,(2012).“Status and future direction of maize research and production in Ethiopia”. Global Climate Change and Food Security through Innovative Maize Research”. Proceedings of the 3rd National Maize Workshop of Ethiopia. 18-20 April 2011, Addis Ababa, Ethiopia. pp. 17-23.
[14] Nkonya, E., T. Schroeder and D. Norman, (1997).“Factors affecting adoption of improved maize seed and fertilizer in Northern Tanzania”. Journal of Agricultural Economics, 4(1): 1-12.
[15] Phillips-McDougall., (2011).“The Cost and Time Involved In The Discovery, Development and Presented at Dialogue on Promoting Agricultural Growth in Mozambique”. International Food Policy Research Institute. Food Security report 4 (2): 253–265.
[16] Rogers, E.M., (2003). “Diffusion of Innovations”. 5th New York: The Free Press.
[17] Sherry, L., and D. Gibson., (2002). “The Path to Teacher Leadership in Educational Technology Adoption”.The Economic Journal 116 (514): 869–902.
[18] Twumasi-Afriyie, S., Zelleke, H., Yihun, K., Assefa, B., & Tariku, S., (2002).“Development and Improvement of Highland Maize in Ethiopia”. In M. Nigusse & D. Tanner (Eds.). Proceedings of the Second National Maize Workshop of Ethiopia, 12-16 November 2001. Addis Ababa, Ethiopia (pp. 31-38).
[19] Uaiene, R.N., (2011). “Determinants of Agricultural New Technology Adoption and Adoption Intensity”. Paper Presented at Dialogue on Promoting Agricultural Growth in Mozambique.” International Food Policy Research Institute, July, 2011.
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Author Information
  • Department of Agricultural Economics Research, Ethiopian Institute of Agricultural Research, Ambo, Ethiopia

  • Department of Agricultural Economics, Kebridehar University, Kebridehar, Ethiopia

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    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

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    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

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    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

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  • @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://download.sciencepg.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}
    }
    

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    T1  - Determinants of Agricultural Technology Adoption: The Case of Improved Highland Maize Varieties in Toke Kutaye District, Oromia Regional State, Ethiopia
    AU  - Dawit Milkias
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    JO  - Journal of Investment and Management
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    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
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