Intensity of Adoption of Improved Malt Barley Production Technologies in Ethiopia: A Case Study in Oromia Region
DOI:
https://doi.org/10.24925/turjaf.v12i10.1713-1721.6947Keywords:
Adoption, malt barley, improved varieties, Arsi zones, Oromia, EthiopiaAbstract
Improved malt barley production technology packages are not yet widely adopted in Ethiopia. Stakeholders, including brewers, malt factories, research institutes, and farmer-based organizations, have been collaborating and promoting new malt barley production technologies in order to boost the intensity of acceptance. The aim of this study was to find out the intensity of improved malt barley production technologies adoption in Arsi zones, Oromia region, Ethiopia. A stratified random sampling approach with multiple stages was employed to collect primary data from 384 malt barley household heads. The data was analyzed using descriptive statistics, and the intensity of adoption of improved malt barley production technologies was determined using an econometric Tobit regression model. The findings specified that the most adopted improved malt barley variety was Traveler (47.92%), which was followed in descending order by Iboni (14.58%), Sabini (9.38%), Grace (5.47%), Holker (4.43%), and 18.23% unnamed varieties. The Tobit model result also depicted that the intensity to which improved malt barley varieties adopted were affected by, taking into account factors including contract farming involvement, cooperative membership, off-farm income, size of livestock holdings, access to training, and mobile ownership. Enhancing farmers’ knowledge of the advantages of contract farming, income diversification, and mobile phone-based information delivery are among the many ways to support access to and accelerate the adoption of improved malt barley technology in the research area and beyond.
References
Abate, G. T., Bernard, T., de Brauw, A., & Minot, N. (2018). The impact of the use of new technologies on farmers’ wheat yield in Ethiopia: evidence from a randomized control trial. Agricultural economics, 49(4), 409-421.
Adedeji, T. O., Nosiru, M. O., Akinsulu, A. A., Ewebiyi, I. O., Abiona, B. G., & Jimoh, T. S. (2013). Adoption of new rice for Africa (NERICA) technology in Ogun State, Nigeria. Journal of Development and Agricultural Economics, 5(9), 365-371.
Beyene, A. D., & Kassie, M. (2015). Speed of adoption of improved maize varieties in Tanzania: An application of duration analysis. Technological Forecasting and Social Change, 96, 298-307.
Bezabeh, A., Beyene, F., Haji, J., & Lemma, T. (2022). Evaluating the commercialization of smallholder malt barley farmers via vertical coordination in Arsi highlands, Oromia region, Ethiopia. Cogent Economics & Finance, 10(1), 2125660.
Bishaw, Z., & Molla, A. (2020). Deployment of Malt Barley Technologies in Ethiopia: Achievements and Lessons Learned. International Center for Agricultural Research in the Dry Areas, Beirut, Lebanon.
CSA (Central Statistical Agency). (2022). Agricultural sample survey: Area and production of major crops, meher season.
Dagnew, A., Goshu, D., Zemedu, L., & Sileshi, M. (2023). Impacts of contract farming on asset accumulation of malt barley farmers in Northwestern Ethiopia. Cogent Economics & Finance, 11(2), 2230724.
Danso-Abbeam, G., Bosiako, J. A., Ehiakpor, D. S., & Mabe, F. N. (2017). Adoption of improved maize variety among farm households in the northern region of Ghana. Cogent Economics & Finance, 5(1), 1416896.
de Roo, N., Almekinders, C., Leeuwis, C., & Tefera, T. (2019). Scaling modern technology or scaling exclusion? The socio-political dynamics of accessing in malt barley innovation in two highland communities in Southern Ethiopia. Agricultural Systems, 174, 52-62.
Degefu, K., Mengistu, K., Nigussie, D. and Feyisa, H. 2017. Determinants of adoption of wheat production technology package by smallholder farmers: evidences from eastern Ethiopia. Turkish Journal of Food science and Technology, 5(3): 267 – 274.
Diiro, G. M. (2013). Impact of off-farm income on agricultural technology adoption intensity and productivity. Agric. Econ, 11, 1-15.
Effa, K., Fana, D.M., Nigussie, M., Geleti, D., Abebe, N., Dechassa, N., Anchala, C., Gemechu, G., Bogale, T., Girma, D. and Berisso, F.E. (2023). The irrigated wheat initiative of Ethiopia: a new paradigm emulating Asia’s green revolution in Africa. Environment, Development and Sustainability, pp.1-26.
Fishbein, M. and Ajzen, I., 1977. Belief, attitude, intention, and behavior: An introduction to theory and research.
Gizaw, W., & Assegid, D. (2021). Trend of cereal crops production area and productivity, in Ethiopia. Journal of Cereals and Oilseeds, 12(1), 9-17.
Kaske, D., Mvena, Z. S. K., & Sife, A. S. (2018). Mobile phone usage for accessing agricultural information in Southern Ethiopia. Journal of agricultural & food information, 19(3), 284-298.
Kassie, M., Marenya, P., Tessema, Y., Jaleta, M., Zeng, D., Erenstein, O., & Rahut, D. (2018). Measuring farm and market level economic impacts of improved maize production technologies in Ethiopia: Evidence from panel data. Journal of agricultural economics, 69(1), 76-95.
Kothari, C. R. (2004). Research methodology: Methods and techniques. New Age International.
Maddala, G. (1992). Introduction to Econometrics. 2nd Edition. Macmillan Publishing Company, New York.
Maertens, M., & Velde, K. V. (2017). Contract-farming in staple food chains: The case of rice in Benin. World Development, 95, 73-87.
Martey, E., Wiredu, A. N., Etwire, P. M., Fosu, M., Buah, S. S. J., Bidzakin, J., ... & Kusi, F. (2014). Fertilizer adoption and use intensity among smallholder farmers in Northern Ghana: A case study of the AGRA soil health project. Sustainable Agriculture Research, 3(1).
Mengistu Ketema, M. K., & Degefu Kebede, D. K. (2017). Adoption intensity of inorganic fertilizers in maize production: empirical evidence from smallholder farmers in Eastern Ethiopia.
Ragasa, C., Lambrecht, I., & Kufoalor, D. S. (2018). Limitations of contract farming as a pro-poor strategy: The case of maize outgrower schemes in upper west Ghana. World Development, 102, 30-56.
Sahin, I. (2006). Detailed review of Rogers’ diffusion of innovations theory and educational technology-related studies based on Rogers’ theory. Turkish Online Journal of Educational Technology-TOJET, 5(2), 14-23.
Shewangizaw, B., Gurumu, G., Agegnehu, G., Eshetu, M., Assefa, S., Hadgu, F., ... & Tamene, L. (2022). Yield response of barley to the application of mineral fertilizers containing major nutrients on Cambisols and Vertisols in Ethiopia. Experimental Agriculture, 58, e1.
Shiferaw, B., Kassie, M., Jaleta, M., & Yirga, C. (2014). Adoption of improved wheat varieties and impacts on household food security in Ethiopia. Food policy, 44, 272-284.
Shiferaw, B., Kebede, T., Kassie, M., & Fisher, M. (2015). Market imperfections, access to information and technology adoption in Uganda: Challenges of overcoming multiple constraints. Agricultural economics, 46(4), 475-488.
Sibhatu, K.T., Krishna, V.V. and Qaim, M. 2015. Production diversity and dietary diversity in smallholder farm households. Proceedings of the National Academy of Sciences of the United States of America, 112: 10657–10662.
Simtowe, F., Asfaw, S., & Abate, T. (2016). Determinants of agricultural technology adoption under partial population awareness: the case of pigeonpea in Malawi. Agricultural and Food Economics, 4, 1-21.
Tekeste, K., Degefa, T., Admasu, S., & Dawit, A. (2023). Determinants of adoption of improved varieties of wheat (Triticum aestivum), teff (Eragrostis teff), and maize (Zea mays L.) in Central Ethiopia. Journal of Agricultural Extension, 27(2), 1-14.
Tigabie, A. (2024). Malt Barley Value Chain Analysis in Ethiopia: The Case of North Shewa Central Highland in Amhara Region Ethiopia. Advances in Social Sciences and Management, 2(2), 63-71.
Van Campenhout, B., Spielman, D. J., & Lecoutere, E. (2018). Information and communication technologies (ICTs) to provide agricultural advice to smallholder farmers: Experimental evidence from Uganda (Vol. 1778). Intl Food Policy Res Inst.
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