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Factors Affecting High Yielding Teff Varieties Adoption Intensity by Small Holder Farmers in West Showa Zone, Ethiopia

Received: 9 March 2020     Accepted: 20 March 2020     Published: 21 April 2020
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Abstract

The objective of the study is to describe the socio-economic characteristics of households growing high yielding teff varieties; and to investigate the factors influencing intensity of adoption of high yielding teff by small holder farmers in the study area. Both primary and secondary data were used for the study. The primary data was collected by using questionnaire from randomly selected of 144 teff producer household heads from the study areas. Three districts namely Ambo, Dendi and Toke kutaye of West showa zone and four PAs from each district were purposively selected on the ground that they are the leading producer of teff. Descriptive statistics and econometric model were employed for analyzing the data. Descriptive analysis result shows that variables such as experience on teff, farm size and distance to the market from continuous variable and sex of household head, participating on farmers association, extension, availability of credit, attending demonstration and agricultural extension training were significantly influences high yielding teff varieties adoption intensity. Tobit model result reviled that age of house hold head, market distance and farmers association were negatively influences adoption while, intensity of adoption of high yielding teff varieties was positively influenced by experience on teff farming, farm size, average income, extension, availability of credit, training, demonstration and owning radio for the technologies. The overall finding of the study underlined the high importance of institutional support by strengthening extension services, attention also should be given to the research and extension linkages, and frequent training must be organized for development agents and supervisors about existing and newly developed improved technologies and new methods of agricultural practices.

Published in International Journal of Economy, Energy and Environment (Volume 5, Issue 1)
DOI 10.11648/j.ijeee.20200501.12
Page(s) 6-13
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.

Copyright

Copyright © The Author(s), 2020. Published by Science Publishing Group

Keywords

Ambo, Intensity, Teff, Tobit, Household

References
[1] Adesina, et al. 1993. Technology characteristics, farmers’ perceptions and adoption decisions: ATobit model application in Sierra Leone. Agricultural Economics 9: 297–311.
[2] Alene, A. Poonyth, D. and Hassan, R. (2000). Determinants of adoption and intensity of use of improved maize varieties in the Central Highlands of Ethiopia: A Tobit Analysis. Agrekon 39 (4): 633-643.
[3] Alemu D., et al., 2008). The maize seed system in Ethiopia: challenges and opportunities in drought prone areas. African Journal of Agricultural Research, 3 (4).
[4] ATA (Agricultural Transformation Agency). 2016. Transforming agriculture in Ethiopia. Annual report 2015/2016.
[5] Bellay Kassa, 2002. Agricultural Extension in Ethiopia: The case of participatory demonstration and training extension system. V. 18, No. 1, 2002.
[6] CSA (Central Statistical Agency). 2016. ―Agricultural Statistics Abstract: Agriculture”. Addis Ababa, Ethiopia.
[7] CIMMYT. 1993. The adoption of agricultural technology: A guide for survey Design. Mexico, D. F. CIMMYT.
[8] Chilot Yirga, 1994. Factors influencing adoption of new wheat technologies in the Wolemera and Addis Alem Areas of Ethiopia. An M. Sc. Thesis Presented to the School of Graduate Studies of Alemaya.
[9] Dawit et al, 2018: Determinants of Agricultural Technology Adoption: The Case of Improved Highland Maize Varieties in Toke Kutaye District, Oromia Regional State, Ethiopia.
[10] Duflo, E. Kremer, M. and Robinson, J. (2006). Understanding Technology Adoption: Fertilizer in Western Kenya: Preliminary Result from Field Experiments. MIT, NBER, CEPR and BREAD; Harvard University, NBER and BREAD; and Princeton University.
[11] Degnet Abebaw and Belay Kassa, 2001. Factors influencing adoption of high yielding maize varieties in South West Ethiopia: An Application of Logit Analysis‟, Quarterly Journal of International Agriculture. 40 (2): 149-151.
[12] De Janvry, Alain & Elisabeth Sadoulet. (2010). Agriculture for Development in Sub-Saharan Africa: Business-as-Usual or New Departures? Journal of African Economies, 19, (2): pp 7–39. https://doi.org/10.1093/jae/ejp028
[13] Fufa Bekabil, et al, 2011. “Strengthening the teff value chain in Ethiopia.” Mimeo, Agricultural Transformation Agency (ATA), Addis Ababa, Ethiopia.
[14] Fantu, 2015: Summary of ESSP Working Paper 89, Productivity and efficiency of small holder Teff farmers in Ethiopia.
[15] Hassen Beshir, 2014. Factors affecting the adoption and intensity of use of improved forages in North East Highlands of Ethiopia, American Journal of Experimental Agriculture.
[16] Knowler D, Bradshaw B (2007). Farmers' adoption of conservation agriculture: A Review and Synthesis of Recent Res. Food Policy 32: 25-48.
[17] Kyei, L., Foli, G. & Ankoh, J. (2011). Analysis of factors affecting the technical efficiency of cocoa farmers in the Offinso District, Ashanti Region, Ghana. Retrieved April 8, 2012 from http://www.scihub.org/AJSMS.
[18] Mavunganidze, Z., et al, 2013. Factors affecting the choice of conservation agriculture practices adopted by smallholder cotton farmers in Zimbabwe. African Journal of Agricultural Research. 8 (17): 5-8.
[19] M. Kassie, B. Shiferaw and G. Muricho, 2011: Agricultural technology, crop income, and poverty alleviation in Uganda. World Development, 2011, 39 (10): 1784 10.1016/j.worlddev.2011.04.023.
[20] MEDaC (Ministry of Economic Development and Planning), 1999. Survey of the Ethiopian Economy. Review of post reform development, (1992/931997/98. MEDAc, Addis Ababa.
[21] Michelle Adato and Ruth Meinzen-Dick 2002: Assessing The Impact Of Agricultural Research On Poverty Using The Sustainable Livelihoods Framework.
[22] Mulugeta, E. Belay and Dadi, L. (2001). “Determinants of Adoption of Physical Soil Conservation Measures in Central Highlands of Ethiopia. The Case of Three Districts of North Shewa”. Journal of Agricultural Economics.
[23] Regasa Dibaba et al, 2019: Determinants of high yielding wheat Varieties Adoption by smallholder farmers: Evidence from Ethiopia.
[24] Paudel, P. and Matsuoka, A. 2008. Factors influencing of improved maize varieties in Nepal: A case study of Chitwan district. Australian Journal of Basic and Applied Sciences. 2 (4): 823-834.
[25] Raju Ghimire et al, 2015: Adoption Pattern and Welfare Impact of Agricultural Technology: Empirical Evidence from Rice Farmers in Nepal.
[26] SG (Sasakawa Global) 2000/Ethiopia project, 2002. Activities and outputs: An assessment 1993-2001 Sasakawa Global 2000, Addis Ababa, Ethiopia, August 2002.
[27] Shiferaw et al, 2008: Technology adoption under seed access constraints and the economic impacts of improved pigeon pea varieties in Tanzania‟, Agricultural Economics, 39 (3): 309-323.
[28] Teklay T., et al, (2016): Agronomic and economic evaluations of compound fertilizer applications under different planting methods and seed rates of Teff [Eragrostis Teff (Zucc.) Trotter] in Northern Ethiopia. Journal of the Dry lands, 6 (1): 409-422.
[29] Tsibuk Berhe 2015: Factors Affecting Adoption of Quncho Teff Variety: The Case of Medebayzana Woreda, North-Western Administrative Zone Of Tigray Region, Ethiopia.
[30] Tura et al, 2010. Adoption and continued use of improved maize seed in Ethiopia. African Journal of agriculture research. 17: 2350-2358.
[31] Udensi E. Udensi et al 2011: Adoption of selected improved cassava varieties among smallholder farmers in South-Eastern Nigeria.
[32] World Bank (2008). World Development Report 2008, Agriculture for Development. The World Bank. Washington, DC.
[33] Yishak et al, 2011: Determinants of Adoption of Improved Maize Technology in Damot Gale, Wolaita, Ethiopia.
[34] Zone office ARD, 2018: Activity performance reports. West showa zone, oromia region Ethiopia.
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  • APA Style

    Dawit Milkias. (2020). Factors Affecting High Yielding Teff Varieties Adoption Intensity by Small Holder Farmers in West Showa Zone, Ethiopia. International Journal of Economy, Energy and Environment, 5(1), 6-13. https://doi.org/10.11648/j.ijeee.20200501.12

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    ACS Style

    Dawit Milkias. Factors Affecting High Yielding Teff Varieties Adoption Intensity by Small Holder Farmers in West Showa Zone, Ethiopia. Int. J. Econ. Energy Environ. 2020, 5(1), 6-13. doi: 10.11648/j.ijeee.20200501.12

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    AMA Style

    Dawit Milkias. Factors Affecting High Yielding Teff Varieties Adoption Intensity by Small Holder Farmers in West Showa Zone, Ethiopia. Int J Econ Energy Environ. 2020;5(1):6-13. doi: 10.11648/j.ijeee.20200501.12

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  • @article{10.11648/j.ijeee.20200501.12,
      author = {Dawit Milkias},
      title = {Factors Affecting High Yielding Teff Varieties Adoption Intensity by Small Holder Farmers in West Showa Zone, Ethiopia},
      journal = {International Journal of Economy, Energy and Environment},
      volume = {5},
      number = {1},
      pages = {6-13},
      doi = {10.11648/j.ijeee.20200501.12},
      url = {https://doi.org/10.11648/j.ijeee.20200501.12},
      eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ijeee.20200501.12},
      abstract = {The objective of the study is to describe the socio-economic characteristics of households growing high yielding teff varieties; and to investigate the factors influencing intensity of adoption of high yielding teff by small holder farmers in the study area. Both primary and secondary data were used for the study. The primary data was collected by using questionnaire from randomly selected of 144 teff producer household heads from the study areas. Three districts namely Ambo, Dendi and Toke kutaye of West showa zone and four PAs from each district were purposively selected on the ground that they are the leading producer of teff. Descriptive statistics and econometric model were employed for analyzing the data. Descriptive analysis result shows that variables such as experience on teff, farm size and distance to the market from continuous variable and sex of household head, participating on farmers association, extension, availability of credit, attending demonstration and agricultural extension training were significantly influences high yielding teff varieties adoption intensity. Tobit model result reviled that age of house hold head, market distance and farmers association were negatively influences adoption while, intensity of adoption of high yielding teff varieties was positively influenced by experience on teff farming, farm size, average income, extension, availability of credit, training, demonstration and owning radio for the technologies. The overall finding of the study underlined the high importance of institutional support by strengthening extension services, attention also should be given to the research and extension linkages, and frequent training must be organized for development agents and supervisors about existing and newly developed improved technologies and new methods of agricultural practices.},
     year = {2020}
    }
    

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  • TY  - JOUR
    T1  - Factors Affecting High Yielding Teff Varieties Adoption Intensity by Small Holder Farmers in West Showa Zone, Ethiopia
    AU  - Dawit Milkias
    Y1  - 2020/04/21
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    N1  - https://doi.org/10.11648/j.ijeee.20200501.12
    DO  - 10.11648/j.ijeee.20200501.12
    T2  - International Journal of Economy, Energy and Environment
    JF  - International Journal of Economy, Energy and Environment
    JO  - International Journal of Economy, Energy and Environment
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    PB  - Science Publishing Group
    SN  - 2575-5021
    UR  - https://doi.org/10.11648/j.ijeee.20200501.12
    AB  - The objective of the study is to describe the socio-economic characteristics of households growing high yielding teff varieties; and to investigate the factors influencing intensity of adoption of high yielding teff by small holder farmers in the study area. Both primary and secondary data were used for the study. The primary data was collected by using questionnaire from randomly selected of 144 teff producer household heads from the study areas. Three districts namely Ambo, Dendi and Toke kutaye of West showa zone and four PAs from each district were purposively selected on the ground that they are the leading producer of teff. Descriptive statistics and econometric model were employed for analyzing the data. Descriptive analysis result shows that variables such as experience on teff, farm size and distance to the market from continuous variable and sex of household head, participating on farmers association, extension, availability of credit, attending demonstration and agricultural extension training were significantly influences high yielding teff varieties adoption intensity. Tobit model result reviled that age of house hold head, market distance and farmers association were negatively influences adoption while, intensity of adoption of high yielding teff varieties was positively influenced by experience on teff farming, farm size, average income, extension, availability of credit, training, demonstration and owning radio for the technologies. The overall finding of the study underlined the high importance of institutional support by strengthening extension services, attention also should be given to the research and extension linkages, and frequent training must be organized for development agents and supervisors about existing and newly developed improved technologies and new methods of agricultural practices.
    VL  - 5
    IS  - 1
    ER  - 

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Author Information
  • Ethiopian Institute of Agricultural Research, Ambo Agricultural

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