The study brought new estimates of determinants of smallholder farmers’ decision to participate in agricultural extension service in Western Ethiopia using 2017/18 farm household survey data. Multi-stage proportionate random sampling technique wasused to collect farm data of 360 households of which 245 farm households are participants and the remaining 115 farm households are non-participants in extension service. Both quantitative and qualitative research method was used and Primary data was obtained using structured questionnaires. Secondary data was also collected from reports, journals, past research works, official documents and the internet. The result of maximum likelihood estimation showed that sex of household, education level of household, family size, age of household, experience in extension, farming experience, farmers’ access to social network and DAs’ frequency of visitwere found to be significant determinants for the household participation in agricultural extension services. The conclusion is that the local and regional government should focus and invests massively in supply of extension services to smallholder farmers in order to promote crop production and food consumption.
Published in | International Journal of Agricultural Economics (Volume 4, Issue 2) |
DOI | 10.11648/j.ijae.20190402.12 |
Page(s) | 48-54 |
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), 2019. Published by Science Publishing Group |
Agricultural Extension, Participation, Logistic Regressions, Descriptive, Productivity
[1] | Abate, H. (2007). Review of extension systems applied in Ethiopia with special emphasis to the participatory demonstration and training extension system. Food and Agriculture Organization of the United Nations, (unpublished), Addis Ababa, Ethiopia. |
[2] | Anderson, J., Van Crowder (2000). The present and future of public sector extension in Africa. Contracting out orcontracting in? The Public Administration and Development 20: 373-384. |
[3] | Asfaw, S., Shiferaw, B., Simtowe, F., & Lipper, L. (2012). Impact of modern agricultural technologies on smallholder welfare: Evidence from Tanzania and Ethiopia. Foodpolicy, 37, 283-295. http://dx.doi.org/10.1016/j.foodpol.2012.02.013. |
[4] | World Bank Group. (2016). Enabling the Business of Agriculture 2016: Comparing Regulatory Good Practices. Washington, DC, USA: World Bank Group. |
[5] | Ragasa C, Ulimwengu J, Badibanga T (2016). Factors Affecting Performance of Agricultural Extension: Evidence fromDemocratic Republic of Congo. J |
[6] | Yao Pan, Stephen C. Smith, Munshi Sulaiman (2015). Agricultural Extension and Technology Adoption for Food Security:Evidence from Uganda. IZA Discussion Paper No. 9206. |
[7] | Nagel, U.(1997). Improving agricultural extension: A reference manual. Rome, Italy: FAO. |
[8] | Davis K, Swanson B, Amudavi D et al. (2010). In - depth Assessment of the public agricultural extension system ofEthiopia and recommendations for improvement. IFPRI discussion paper 01041. Eastern and South Africa Regional Office. Addis Ababa, Ethiopia. |
[9] | Berhanu A (2009). The Ethiopian extension and farmer: A view from the farm. In: Svein E, Aspen H, Teferra B, Bekele (eds.). Proceeding of the 16th International conference ofEthiopian studies, Trondheim, 2009. |
[10] | Gujarati, D. N. (1998). Essential of Econometrics, 2nd ed. |
[11] | Greene, H. (2000). Econometric Analysis, 4th ed. Prentice Hall International, Inc USA. |
[12] | Pan, Y., Smith, S. C., & Sulaiman, M. (2015). Agricultural extension and technology adoption for foodsecurity: Evidence from Uganda (No. 9206). IZA Discussion Papers. Agric. Educ. Extension 22:113–143. DOI 10.1080/1389224X.2015.1026363. |
[13] | Berhanu K (2012) The political economy of agricultural extension in Ethiopia: Economic growth and political control. Working paper 042. UK Department for International Development (DfID). Future Agricultures. |
[14] | FAO (Food and Agriculture Organization of the United Nations). (2010). Ethiopia country brief. Retrieved from www.fao.org/countries/55528/en/eth/. |
[15] | Cetral Statistical Authority (2015). Ethiopian Population Survey. |
[16] | Dercon S, Gilligan DO, Hoddinott J, Woldehanna T (2009) The impact of agricultural extension and roads on poverty and consumption growth in fifteen Ethiopian villages. Am J Agr Econ 91 (4): 1007–21. DOI 10.1111/j.14678276.2009.01325.x. |
[17] | Ministry of Agriculture (MoA) (2010) Participatory Agricultural Extension System (Amharic version). MoA, Addis Ababa, Ethiopia. |
APA Style
Firdisa Birru Goshu. (2019). Evaluation of the Determinants of Smallholder Famers’ Participation in Agricultural Extension in Western Ethiopia. International Journal of Agricultural Economics, 4(2), 48-54. https://doi.org/10.11648/j.ijae.20190402.12
ACS Style
Firdisa Birru Goshu. Evaluation of the Determinants of Smallholder Famers’ Participation in Agricultural Extension in Western Ethiopia. Int. J. Agric. Econ. 2019, 4(2), 48-54. doi: 10.11648/j.ijae.20190402.12
AMA Style
Firdisa Birru Goshu. Evaluation of the Determinants of Smallholder Famers’ Participation in Agricultural Extension in Western Ethiopia. Int J Agric Econ. 2019;4(2):48-54. doi: 10.11648/j.ijae.20190402.12
@article{10.11648/j.ijae.20190402.12, author = {Firdisa Birru Goshu}, title = {Evaluation of the Determinants of Smallholder Famers’ Participation in Agricultural Extension in Western Ethiopia}, journal = {International Journal of Agricultural Economics}, volume = {4}, number = {2}, pages = {48-54}, doi = {10.11648/j.ijae.20190402.12}, url = {https://doi.org/10.11648/j.ijae.20190402.12}, eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ijae.20190402.12}, abstract = {The study brought new estimates of determinants of smallholder farmers’ decision to participate in agricultural extension service in Western Ethiopia using 2017/18 farm household survey data. Multi-stage proportionate random sampling technique wasused to collect farm data of 360 households of which 245 farm households are participants and the remaining 115 farm households are non-participants in extension service. Both quantitative and qualitative research method was used and Primary data was obtained using structured questionnaires. Secondary data was also collected from reports, journals, past research works, official documents and the internet. The result of maximum likelihood estimation showed that sex of household, education level of household, family size, age of household, experience in extension, farming experience, farmers’ access to social network and DAs’ frequency of visitwere found to be significant determinants for the household participation in agricultural extension services. The conclusion is that the local and regional government should focus and invests massively in supply of extension services to smallholder farmers in order to promote crop production and food consumption.}, year = {2019} }
TY - JOUR T1 - Evaluation of the Determinants of Smallholder Famers’ Participation in Agricultural Extension in Western Ethiopia AU - Firdisa Birru Goshu Y1 - 2019/03/27 PY - 2019 N1 - https://doi.org/10.11648/j.ijae.20190402.12 DO - 10.11648/j.ijae.20190402.12 T2 - International Journal of Agricultural Economics JF - International Journal of Agricultural Economics JO - International Journal of Agricultural Economics SP - 48 EP - 54 PB - Science Publishing Group SN - 2575-3843 UR - https://doi.org/10.11648/j.ijae.20190402.12 AB - The study brought new estimates of determinants of smallholder farmers’ decision to participate in agricultural extension service in Western Ethiopia using 2017/18 farm household survey data. Multi-stage proportionate random sampling technique wasused to collect farm data of 360 households of which 245 farm households are participants and the remaining 115 farm households are non-participants in extension service. Both quantitative and qualitative research method was used and Primary data was obtained using structured questionnaires. Secondary data was also collected from reports, journals, past research works, official documents and the internet. The result of maximum likelihood estimation showed that sex of household, education level of household, family size, age of household, experience in extension, farming experience, farmers’ access to social network and DAs’ frequency of visitwere found to be significant determinants for the household participation in agricultural extension services. The conclusion is that the local and regional government should focus and invests massively in supply of extension services to smallholder farmers in order to promote crop production and food consumption. VL - 4 IS - 2 ER -