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GENERAL & APPLIED ECONOMICS

Is the longstanding local rice cultivar “X-Jigna” being replaced by the improved variety “Shaga” in fogera plain, Northwest Ethiopia?

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Article: 2145748 | Received 04 Oct 2021, Accepted 06 Nov 2022, Published online: 13 Nov 2022

References

  • Abbas, A. C., & Jiang, Y. (2018). Determinants of adoption of improved rice varieties in northern Sindh, Pakistan. Science Direct, 25(2), 103–21. http://dx.doi.org/10.1016/j.rsci.2017.10.003
  • Ahmed, M., Mesfin, H., Abady, S., Mesfin, W., Kebede, A., & Aye, G. (2016). Adoption of improved groundnut seed and its impact on rural households’ welfare in Eastern Ethiopia. Cogent Economics & Finance, 4(1), 1–13. https://doi.org/10.1080/23322039.2016.1268747
  • Ainembabazi, J., & Johnny, M. (2014). The role of farming experience on the adoption of agricultural technologies: Evidence from smallholder farmers in Uganda. The Journal of Development Studies, 50(5), 666–679. https://doi.org/10.1080/00220388.2013.874556
  • Alemu, D., & Thompson, J. (2020). The Emerging Importance of Rice as a Strategic Crop in Ethiopia, Working Paper 44, Brighton, UK, Future Agricultures Consortium. https://doi.org/10.19088/APRA.2020.009
  • Amare, A., & Simane, B. (2017). Determinants of smallholder farmers’ decision to adopt adaptation options to climate change and variability in the Muger Sub basin of the Upper Blue Nile basin of Ethiopia. Agriculture & Food Security, 6(64), 1–20. https://doi.org/10.1186/s40066-017-0144-2
  • Anteneh, A., Abebe, A., & Siraw, G. (2022). Adoption of tef (Eragrostis tef) production technology packages in Northwest Ethiopia. Cogent Economics & Finance, 10(1), 1–25. https://doi.org/10.1080/23322039.2021.2013587
  • Anteneh, M., Tesfahun, A., & Melak, A. (2021). Rice production, technologies adoption and its determining factors in Fogera-plain of North West Ethiopia. Journal of Economics and Sustainable Development, 12(7), 51–59. http://dx.doi.org/10.7176/JESD/12-7-06
  • Asmelash, Y. (2014). Determinants of adoption of upland rice varieties in fogera district, South Gondar, Ethiopia. Journal of Agricultural Extension and Rural Development, 18(12), 332–338. https://doi.org/10.5897/JAERD12.108
  • Atnaf, M., Dessie, A., Worede, F., Zewdu, Z., Berie, A., & Lakew, T. (2021). Why has a single rice cultivar dominated the lowland rice production portfolio of Ethiopia for so long? Ethiopian Journal of Agricultural Sciences, 31(2), 1–11
  • Bewick, V., Cheek, L., & Jonathan, B. (2005). Statistics review 14: Logistic regression. In Critical Care (Vol. 9, pp. 112–118). https://doi.org/10.1186/cc3045
  • Bigirimana, V. P., Hua, G. K. H., Nyamangyoku, O. I., & Höfte, M. (2015). Rice sheath rot: an emerging ubiquitous destructive disease complex. Journal Frontiers in Plant Science, 6(1066), 1–16. https://doi.org/10.3389/fpls.2015.01066
  • Byerlee, D., & De Polanco, H. (1986). Farmers’ stepwise adoption of technological packages: Evidence from the Mexican Altiplano. American Journal of Agricultural Economics, 68(3), 520–527. https://doi.org/10.2307/1241537
  • Central Statistical Agency [CSA]. (2007). Population and housing census of Ethiopia.
  • Central Statistical Agency [CSA]. (2010). Report on area and production of crops (private peasant holdings, meher season). agricultural sample survey 2009/10 (2002 E.C.) (Vol. 4). Addis Ababa.
  • Central Statistical Agency [CSA]. (2018). Report on area and production of major crops (private peasant holdings, meher season). Agricultural sample survey 2017/18 Vol. 1. Addis Ababa
  • Central Statistical Agency [CSA]. (2020). Report on area and production of major crops (private peasant holdings, meher season). In Agricultural sample survey 2019/20 (2012 E.C.), Volume 1 (pp.1-147). Addis Ababa.
  • Chukwu, V., & Osuafor, O. (2010). Socio-economic determinants of adoption of improved rice production technologies among rice farmers in Ebonyi state, Nigeria: A logit regression model approach. Elixir Agriculture, 94(2016), 39900–39908.
  • D’Ambra, J., & Wilson, C. (2004). Use of the World Wide Web for international travel: Integrating the construct of uncertainty in information seeking and the task-technology fit (TTF) model. Journal of the American Society for Information Science and Technology, 55(8), 731–742. https://doi.org/10.1002/asi.20017
  • D’Ambra, J., Wilson, C., & Akter, S. (2013). Application of the task-technology fit model to structure and evaluate the adoption of E-books by academics. John Wiley and Sons: Journal of the American Society for Information Science and Technology, 64(1), 48–64. https://doi.org/10.1002/asi.22757
  • Daniel, M., Belaineh, L., Jema, H., & Lemma, Z. (2017). Determinants of the adoption of improved white haricot beans in east Shewa zone, South-Eastern Ethiopia. Journal of Development and Agricultural Economics, 9(12), 355–372. https://doi.org/10.5897/JDAE2017.0860
  • Dasgupta, S. (1989). Diffusion of Agricultural Innovations in Village India Wiley Eastern Limited.
  • Davis, F., & Davis, F. (1989). Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS Quarterly, 13(3), 319–339. https://doi.org/10.2307/249008
  • Dessie, A., Worede, F., Atnaf, M., Tadesse, B., & Mengistu, G. (2021). Rice genetic improvement for different ecosystems in Ethiopia. In T. Tadesse, M. Atnaf, D. Alemu, T. Tadesse, & K. Shiratori (Eds.), Advances in rice research and development in Ethiopia (pp. 59–68). Ethiopian Institute of Agricultural Research.
  • Endeshaw, G. (2019). Determinants of adoption of improved maize BH540 variety among smallholder farmer: The case of Dera woreda, south Gonder zone. M.Sc. Thesis. University of Gonder.
  • Feder, G., Just, R. E., & Zilberman, D. (1985). Adoption of agricultural innovation in developing countries: A survey. Economic Development and Cultural Change, 32(2), 255–298. https://doi.org/10.1086/451461
  • Feyisa, B. W., & Yildiz, F. (2020). Determinants of agricultural technology adoption in Ethiopia: A meta-analysis. Cogent Food & Agriculture, 6(1), 1–10. https://doi.org/10.1080/23311932.2020.1855817
  • Fikire, A. H., Emeru, G. M., & Danish, S. (2022). Determinants of modern agricultural technology adoption for teff production: the case of Minjar Shenkora woreda, north Shewa zone, Amhara region, Ethiopia. Advances in Agriculture, 2022, 1–12. https://doi.org/10.1155/2022/2384345
  • Fogera District Agriculture Office [FDAO]. (2021). District level annual report (unpublished).
  • Fogera National Rice Research and Training Centre [FNRRTC]. (2021). Centre level annual report (unpublished).
  • Food and Agriculture Organization [FAO]. (2018). Ethiopia: small family farms country factsheet.
  • Francis, K., Kaloi, H. N., Charles, N., & Lucy, K. (2021). Determinants influencing the adoption of rice intensification system among smallholders in mwea irrigation scheme, Kenya. Hindawi: Advances in Agriculture, 2021, 1–8. https://doi.org/10.1155/2021/1624334
  • Ghadim, A. K. A., Pannell, D. J., & Burton, M. P. (2005). Risk, uncertainty, and learning in adoption of a crop innovation. Agricultural Economics, 33(1), 1–9. https://doi.org/10.1111/J.1574-0862.2005.00433.X
  • Gizaw, A. (2008). Adoption of chickpea technology package in Ada and Akaki woredas, Eastern Shewa, Ethiopia. M.Sc.Thesis. Haramaya University.
  • Gizaw, G., Batu, M. M., & Tola, S. (2017). Determinants of rice production technology adoption in Fogera woreda, South Gondar, Ethiopia. Journal of Economics and Sustainable Development, 8(23), 19–23
  • Goodhue, D., & Thompson, R. (1995). Task-technology fit and individual performance. MIS Quarterly, 19(2), 213–236. https://doi.org/10.2307/249689
  • Hagos, H., Ndemo, E., & Yosuf, J. (2018). Factors affecting adoption of upland rice in Tselemti district, northern Ethiopia. Agriculture & Food Security, 7(59), 1–9. https://doi.org/10.1186/s40066-018-0210-4
  • Hagos, A., & Zemedu, L. (2015). Determinants of improved rice varieties adoption in Fogera district of Ethiopia. Science, Technology and Arts Research Journal, 4(1), 221–228. https://doi.org/10.4314/star.v4i1.35
  • Herzon, I., & Mikk, M. (2007). Farmers’ perceptions of biodiversity and their willingness to enhance it through agri-environment schemes: A comparative study from Estonia and Finland. Journal for Nature Conservation, 15(1), 10–25. https://doi.org/10.1016/j.jnc.2006.08.001
  • Jerneck, A., & Olsson, L. (2013). More than trees! Understanding the agroforestry adoption gap in subsistence agriculture: Insights from narrative walks in Kenya. Journal of Rural Studies, 32, 114–125. https://doi.org/10.1016/j.jrurstud.2013.04.004
  • Kassa, Y., Giziew, A., & Ayalew, D. (2021). Determinants of adoption and intensity of improved faba bean cultivars in the central highlands of Ethiopia: A double-hurdle approach. CABI Agric Biosci, 2(24), 1–12. https://doi.org/10.1186/s43170-021-00045-8
  • Ketema, M., Kibret, K., Hundessa, F., & Bezu, T. (2021). Adoption of improved maize varieties as a sustainable agricultural intensification in Eastern Ethiopia: Implications for Food and Nutrition Security. Turkish Journal of Agriculture - Food Science and Technology, 9(6), 998–1007. https://doi.org/10.24925/turjaf.v9i6.998-1007.3937
  • Kumar, A., Singh, R., Kumar, A., Betne, R., & Singh, K. (2016). Adoption of modern rice cultivation practices in Bihar, India: Micro-level evidences from village-level studies. Agriclture Research, 5(4), 433–439. http://dx.doi.org/10.1007/s40003-016-0234-6
  • Leathers, H., & Smale, M. (1991). A Bayesian approach to explaining sequential adoption of components of technological package. American Journal of Agricultural Economics, 73(3), 734–742. https://doi.org/10.2307/1242825
  • Lucas, H. (1975). Performance and the use of an information system. Management Science, 21(8), 849–966. https://doi.org/10.1287/mnsc.21.8.908
  • Margherita, P. (2006). Determinants of adoption of High-Speed Data Services in the business market: Evidence for a combined technology acceptance model with task technology fit model. Elsevier Science Journal of Information & Management, 43(7), 847–860. https://doi.org/10.1016/j.im.2006.08.003
  • Massresha, S. E., Lema, T. Z., Neway, M. M., Degu, W. A., & Shafiullah, M. (2021). Perception and determinants of agricultural technology adoption in North Shoa Zone, Amhara Regional State, Ethiopia. Cogent Economics & Finance, 9(1), 1–19. https://doi.org/10.1080/23322039.2021.1956774
  • Milkias, D. (2020). Analysis on determinants of adoption of improved wheat technology in liben jewi District, Oromia Region, Ethiopia. International Journal of Applied Agricultural Sciences, 6(3), 36–43. https://doi.org/10.11648/j.ijaas.20200603.12
  • Ministry of Agriculture [MoA]. 2020. Crop Variety Register. Plant variety release, protection and seed quality control directorate, ministry ofAgriculture Issue No. 23 Addis Ababa.
  • Nagy, J., & Sanders, H. (1990). Agricultural technology development and dissemination within a farming systems perspective. Agricultural System, 32(4), 305–320. https://doi.org/10.1016/0308-521X(90)90097-A
  • National Plan Commission [NPC]. (2016). National Growth and Transformation Plan II (GTPII) of the country. United Nations Ethiopia.
  • Nonvide, G. M. (2021). Adoption of agricultural technologies among rice farmers in Benin. Review of Development Economics, 25(4), 1–19. https://doi.org/10.1111/rode.12802
  • Oladele, O., Chimewah, A., & Olorunfemi, O. (2019). Determinants of farmers’ adoption of alternate wet and dry techniques in lowland rice production in Ghana, Uganda and Cameroon for climate smart agriculture. The Journal of Developing Areas, 53(3), 170–181. https://doi.org/10.1353/jda.2019.0045
  • Onyeneke, R. (2017). Determinants of adoption of improved technologies in rice production in imo state, Nigeria. African Journal of Agricultural Research, 12(11), 888–896. https://doi.org/10.5897/AJAR2016.11737
  • Poth, C., & Munce, S. E. P. (2020). Commentary—preparing today’s researchers for a yet unknown tomorrow: Promising practices for a synergistic and sustainable mentoring approach to mixed methods research learning. International Journal of Multiple Research Approaches, 12(1), 56–64. https://doi.org/10.29034/ijmra.v12n1commentary
  • Rogers, E. (1995). Diffusion of Innovations. Free Press.
  • Rogers, E. M. (2003). Diffusion of Innovations (5 th Edition) ed.). Free Press.
  • Samaradiwakara, N., & Gunawardena, G. (2014). Comparison of existing technology acceptance theories and models to suggest a well improved theory/model. International Technical Sciences Journal, 1(1), 21–36.
  • Samba, S., Devid, N., & Featherstone, A. (2000). Quantitative assessment of improved rice variety adoption: The farmer’s perspective. Agricultural Systems, 66(2), 129–144. https://doi.org/10.1016/S0308-521X(00)00040-8
  • Seyyed, A., & Mohammad, S. (2012). Logistic regression analysis on factors affecting adoption of rice-fish farming in North Iran. Rice Science, 19(2), 153–160. https://doi.org/10.1016/S1672-6308(12)60034-1
  • Swanson, E. B. (1987). Information Channel Disposition and Use. Decision Sciences, 18(1), 131–145. https://doi.org/10.1111/j.1540-5915.1987.tb01508.x
  • Tadesse, T. (2019). Status and directions of rice research in Ethiopia. In T. Tadesse, M. Atnaf, D. Alemu, T. Tadesse, & K. Shiratori (Eds.), Advances in Rice Research and Development in Ethiopia (pp. 53–57). Ethiopian Institute of Agricultural Research.
  • Tadesse, T. (2020). History, current status and future directions of rice research in Ethiopia. Journal of Emerging Technologies and Innovative Research, 7(2), 767–774.
  • Tura, M., Aredo, D., Tsegaye, W., LaRovere, R., Tesfahun, G., Mwangi, W., & Mwabu, G. (2010). Adoption and continued use of improved maize seeds: Case study of central Ethiopia. African Journal of Agricultural Research, 5(17), 2350–2358. https://doi.org/10.5897/AJAR.9000024
  • Udimal, T. B., Jincai, Z., Mensah, O. S., & Caesa, A. E. (2017). Factors influencing the agricultural technology adoption: the case of improved rice varieties (Nerica) in the Northern Region, Ghana. Journal of Economics and Sustainable Development, 8(8), 137–148
  • Umeh, G., & Chukwu, V. (2015). Determinants of adoption of improved rice production technologies in Ebonyi State of Nigeria. Journal of Biology, Agriculture and Healthcare, 5(7), 170–176. 2224–3208
  • Varsha, K., & Indrajit, T. (2018). Factors encouraging complete adoption of agricultural technologies: The case of hybrid rice cultivation in India. Journal of Agribusiness in Developing and Emerging Economies, 8(2), 270–287.
  • Vessey, I. (1991). Cognitive Fit: A theory-based analysis of the graphs versus tables literature. Decision Sciences, 22(2), 219–240. https://doi.org/10.1111/j.1540-5915.1991.tb00344.x
  • Vo, H., Nguyen, D., Yoshifumi, T., Steven, W., & Mitsuyasu, Y. (2018). Modelling the factors affecting the adoption of eco-friendly rice production in the Vietnamese Mekong delta. Cogent Food & Agriculture, 4(1), 1–24. https://doi.org/10.1080/23311932.2018.1432538
  • Yamane, T. (1967). Statistics: An introductory analysis (2nd) ed.). Harper and Row.
  • Zegeye, M., Fikire, A., & Meshesha, G. (2022). Determinants of multiple agricultural technology adoption: Evidence from rural Amhara region, Ethiopia. Cogent Economics & Finance, 10(1), 1–23. https://doi.org/10.1080/23322039.2022.2058189
  • Zeleke, B. D., Geleto, A. G., Komicha, H. H., Asefa, S., & Zhang, X. (2021). Determinants of adopting improved bread wheat varieties in Arsi Highland, Oromia Region, Ethiopia: A double-hurdle approach. Cogent Economics & Finance, 9(1), 1–23. https://doi.org/10.1080/23322039.2021.1932040