Determinants of Improved Barley Adoption Intensity in Malga District of Sidama Zone, Ethiopia

Aman Tufa; Tewodros Tefera

doi:doi:10.11648/j.ijae.20160103.15

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Determinants of Improved Barley Adoption Intensity in Malga District of Sidama Zone, Ethiopia

Aman Tufa, Tewodros Tefera

Published in International Journal of Agricultural Economics (Volume 1, Issue 3)

Received: 15 August 2016 Accepted: 24 August 2016 Published: 18 September 2016

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Abstract

The study was conducted in Malga district of Sidama Zone in Ethiopia to describe the socioeconomic characteristics of households and identify factors governing the intensity of barley adoption. The district was known with barley production. The study used both primary and secondary data. Multistage sampling techniques were used to select three peasant associations and 129 barley producing households. Descriptive statistics (mean, standard deviation and frequency) was used to describe variables under consideration whereas econometric model (Tobit) was applied to and identify the factors governing the adoption of improved barley. The result of analysis revealed that age, farm experience, oxen, membership of cooperative, distance to all weather roads and annual income were found to be significant variables affecting the intensity of barley adoption. Therefore, infrastructural development, providing inputs access, creating financial viability and strengthening farmer’s organization are areas that need policy attentions.

Published in	International Journal of Agricultural Economics (Volume 1, Issue 3)
DOI	10.11648/j.ijae.20160103.15
Page(s)	78-83
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), 2016. Published by Science Publishing Group

Keywords

Intensity, Improved, Tobit, Adoption

References

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[3]	Arellanes P., D. R. Lee, 2003. The determinants of adoption of sustainable agriculture technologies: Evidence from the Hillsides of Honduras.” International Association of Agricultural Economists 25826:
[4]	CSA, 2014. Central statistical authority. Addis Ababa, Ethiopia.
[5]	Diiro, G., 2013. Impact of off-farm income on technology adoption intensity and productivity: Evidence from rural maize farmers in Uganda. International Food Policy Research Institute, Working Paper 11.
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[7]	Ibrahim, K. M., Haque, E., Hoque, M. Z., 2014. Adoption of recommended potato (Solanum tuberosum) production technologies by the potato growers of some selected areas of Bangladesh. Bangladesh J. Agril. Res. 39: 79-92.
[8]	Odoemenem I. U., 2007. Capital resource mobilization and allocation efficiency by small-scale cereal crop farmers of Benue State, Nigeria. Ph.D Dissertation, Dept. of Agri. Economics Management & Extension, Ebonyi State Univ., Abakaliki, Nigeria.
[9]	Odoemenem I. U., Obinne, C. P. O., 2010. Assessing the factors influencing the utilization of improved cereal crop production technologies by small-scale farmers in Nigeria. Indian Journal of Science and technology.
[10]	Ogada J. M., Mwabu, G., Muchai D., 2014. Farm technology adoption in Kenya: a simultaneous estimation of inorganic fertilizer and improved maize variety adoption decisions. Agricultural and Food Economics 2: 12.
[11]	Rogers, E. M., 1995. Diffusion of innovations (4th edition) New York Free Press pp 519.
[12]	Shiyani, R. L., Joshi, P. K., Asokam, M. and Bantilan, M. C. S., 2002. Adoption of improved chickpea Varieties: Krishak Bharati Cooperative (KRIBHCO) Experience in tribal region of Gujurat, India. Agricultural Economics, 27: 33-39.
[13]	Solomon, A., Bekele, S., Franklin, S., Mekbib, G., 2011. Agricultural technology adoption, seed access constraints and commercialization in Ethiopia. JDAE 3: 436-447.
[14]	Tewodaj, M., Cohen, MJ., Birner, R., Mamusha, L., Randriamamonjy, J., Fanaye, T., Zelekawork, P., 2009. Agricultural Extension in Ethiopia through a Gender and Governance Lens. Ethiopia Strategy Support Program Discussion Paper.
[15]	Uwagboe, E. O., Akinbile, L. A., Oduwole, O. O., 2012. Socio-economic factors and integrated pest management utilization among Cocoa Farmers in Edo State. Academic Journal of Plant Sciences, 5: 07-11.
[16]	Wabbi, J. B., Taylor, D. B. and Kasenge, V., 2006. A Limited Dependent Variable Analysis of Integrated Pest Management Adoption in Uganda. Paper presented at the American Agricultural Association Annual Meeting, Long Beach California, July 23-26.
[17]	Wolfe. R. A., 1994. Organizational innovation: Review critique and suggested research directions. Journal of Management Studies 31: 405-431.
[18]	Zaltman, G., Duncan, R., Holbeck, J., 1973. Innovations and Organizations, Willy, New York.

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Aman Tufa, Tewodros Tefera. (2016). Determinants of Improved Barley Adoption Intensity in Malga District of Sidama Zone, Ethiopia. International Journal of Agricultural Economics, 1(3), 78-83. https://doi.org/10.11648/j.ijae.20160103.15

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ACS Style

Aman Tufa; Tewodros Tefera. Determinants of Improved Barley Adoption Intensity in Malga District of Sidama Zone, Ethiopia. Int. J. Agric. Econ. 2016, 1(3), 78-83. doi: 10.11648/j.ijae.20160103.15

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AMA Style

Aman Tufa, Tewodros Tefera. Determinants of Improved Barley Adoption Intensity in Malga District of Sidama Zone, Ethiopia. Int J Agric Econ. 2016;1(3):78-83. doi: 10.11648/j.ijae.20160103.15

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@article{10.11648/j.ijae.20160103.15,
  author = {Aman Tufa and Tewodros Tefera},
  title = {Determinants of Improved Barley Adoption Intensity in Malga District of Sidama Zone, Ethiopia},
  journal = {International Journal of Agricultural Economics},
  volume = {1},
  number = {3},
  pages = {78-83},
  doi = {10.11648/j.ijae.20160103.15},
  url = {https://doi.org/10.11648/j.ijae.20160103.15},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ijae.20160103.15},
  abstract = {The study was conducted in Malga district of Sidama Zone in Ethiopia to describe the socioeconomic characteristics of households and identify factors governing the intensity of barley adoption. The district was known with barley production. The study used both primary and secondary data. Multistage sampling techniques were used to select three peasant associations and 129 barley producing households. Descriptive statistics (mean, standard deviation and frequency) was used to describe variables under consideration whereas econometric model (Tobit) was applied to and identify the factors governing the adoption of improved barley. The result of analysis revealed that age, farm experience, oxen, membership of cooperative, distance to all weather roads and annual income were found to be significant variables affecting the intensity of barley adoption. Therefore, infrastructural development, providing inputs access, creating financial viability and strengthening farmer’s organization are areas that need policy attentions.},
 year = {2016}
}

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TY  - JOUR
T1  - Determinants of Improved Barley Adoption Intensity in Malga District of Sidama Zone, Ethiopia
AU  - Aman Tufa
AU  - Tewodros Tefera
Y1  - 2016/09/18
PY  - 2016
N1  - https://doi.org/10.11648/j.ijae.20160103.15
DO  - 10.11648/j.ijae.20160103.15
T2  - International Journal of Agricultural Economics
JF  - International Journal of Agricultural Economics
JO  - International Journal of Agricultural Economics
SP  - 78
EP  - 83
PB  - Science Publishing Group
SN  - 2575-3843
UR  - https://doi.org/10.11648/j.ijae.20160103.15
AB  - The study was conducted in Malga district of Sidama Zone in Ethiopia to describe the socioeconomic characteristics of households and identify factors governing the intensity of barley adoption. The district was known with barley production. The study used both primary and secondary data. Multistage sampling techniques were used to select three peasant associations and 129 barley producing households. Descriptive statistics (mean, standard deviation and frequency) was used to describe variables under consideration whereas econometric model (Tobit) was applied to and identify the factors governing the adoption of improved barley. The result of analysis revealed that age, farm experience, oxen, membership of cooperative, distance to all weather roads and annual income were found to be significant variables affecting the intensity of barley adoption. Therefore, infrastructural development, providing inputs access, creating financial viability and strengthening farmer’s organization are areas that need policy attentions.
VL  - 1
IS  - 3
ER  -

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Author Information

Aman Tufa

CASCAPE Project, Hawassa University, Hawassa, Ethiopia
Tewodros Tefera

CASCAPE Project, Hawassa University, Hawassa, Ethiopia

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APA Style

Aman Tufa, Tewodros Tefera. (2016). Determinants of Improved Barley Adoption Intensity in Malga District of Sidama Zone, Ethiopia. International Journal of Agricultural Economics, 1(3), 78-83. https://doi.org/10.11648/j.ijae.20160103.15

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ACS Style

Aman Tufa; Tewodros Tefera. Determinants of Improved Barley Adoption Intensity in Malga District of Sidama Zone, Ethiopia. Int. J. Agric. Econ. 2016, 1(3), 78-83. doi: 10.11648/j.ijae.20160103.15

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AMA Style

Aman Tufa, Tewodros Tefera. Determinants of Improved Barley Adoption Intensity in Malga District of Sidama Zone, Ethiopia. Int J Agric Econ. 2016;1(3):78-83. doi: 10.11648/j.ijae.20160103.15

Copy | Download

@article{10.11648/j.ijae.20160103.15,
  author = {Aman Tufa and Tewodros Tefera},
  title = {Determinants of Improved Barley Adoption Intensity in Malga District of Sidama Zone, Ethiopia},
  journal = {International Journal of Agricultural Economics},
  volume = {1},
  number = {3},
  pages = {78-83},
  doi = {10.11648/j.ijae.20160103.15},
  url = {https://doi.org/10.11648/j.ijae.20160103.15},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ijae.20160103.15},
  abstract = {The study was conducted in Malga district of Sidama Zone in Ethiopia to describe the socioeconomic characteristics of households and identify factors governing the intensity of barley adoption. The district was known with barley production. The study used both primary and secondary data. Multistage sampling techniques were used to select three peasant associations and 129 barley producing households. Descriptive statistics (mean, standard deviation and frequency) was used to describe variables under consideration whereas econometric model (Tobit) was applied to and identify the factors governing the adoption of improved barley. The result of analysis revealed that age, farm experience, oxen, membership of cooperative, distance to all weather roads and annual income were found to be significant variables affecting the intensity of barley adoption. Therefore, infrastructural development, providing inputs access, creating financial viability and strengthening farmer’s organization are areas that need policy attentions.},
 year = {2016}
}

Copy | Download

TY  - JOUR
T1  - Determinants of Improved Barley Adoption Intensity in Malga District of Sidama Zone, Ethiopia
AU  - Aman Tufa
AU  - Tewodros Tefera
Y1  - 2016/09/18
PY  - 2016
N1  - https://doi.org/10.11648/j.ijae.20160103.15
DO  - 10.11648/j.ijae.20160103.15
T2  - International Journal of Agricultural Economics
JF  - International Journal of Agricultural Economics
JO  - International Journal of Agricultural Economics
SP  - 78
EP  - 83
PB  - Science Publishing Group
SN  - 2575-3843
UR  - https://doi.org/10.11648/j.ijae.20160103.15
AB  - The study was conducted in Malga district of Sidama Zone in Ethiopia to describe the socioeconomic characteristics of households and identify factors governing the intensity of barley adoption. The district was known with barley production. The study used both primary and secondary data. Multistage sampling techniques were used to select three peasant associations and 129 barley producing households. Descriptive statistics (mean, standard deviation and frequency) was used to describe variables under consideration whereas econometric model (Tobit) was applied to and identify the factors governing the adoption of improved barley. The result of analysis revealed that age, farm experience, oxen, membership of cooperative, distance to all weather roads and annual income were found to be significant variables affecting the intensity of barley adoption. Therefore, infrastructural development, providing inputs access, creating financial viability and strengthening farmer’s organization are areas that need policy attentions.
VL  - 1
IS  - 3
ER  -

Copy | Download