Determinants of Adoption of Improved Maize Varieties in Zabzugu-Tatale Districts in the Northern Region of Ghana: A Case Study of Obaatanpa Variety
الموضوعات :Wahab Ibn Hassan 1 , Hamza Adam 2 , Osman Damba Tahidu 3
1 - Graduate student, Department of Agricultural Extension, Rural Development & Gender Studies, Faculty of Agribusiness and Communication Sciences, University for Development Studies, Nankpala Campus, Tamale, Ghana
2 - Senior Lecturer, Department of Agricultural Extension, Rural Development & Gender Studies, Faculty of Agribusiness and Communication Sciences, University for Development Studies, Nankpala Campus, Tamale, Ghana
3 - Lecturer, University for Development Studies (UDS)
Faculty of Agribusiness & Communication Sciences. Tamale, GHana.
الکلمات المفتاحية: adoption, Obatanpa, improved maize, Zabzugu-Tatale, Northern Region,
ملخص المقالة :
Low yield of maize continues to affect the livelihood of smallholder farmers in the Zabzugu-Tatale area despite the introduction of a high yielding Obatanpa maize variety. The study used a cross-sectional survey design with 240 randomly sampled household heads growing maize to examine determinants of adoption of Obatampa varieties (IMVs) by farmers in the Zabzugu-Tatale area in the Northern Region of Ghana. A binary logistic model was used to examine the factors that determine the adoption of Obatanpa maize variety by farmers in Zabzugu-Tatale. The results showed a high (58.8%) level of adoption of Obatanpa in the study area. The logistic regression analysis shows that sex, household size, number of years of education of the household head, membership to FBOs, farm size, farmers’ awareness of Obatanpa, access to credit and access to extension service had a positive significant relationship with the adoption of Obatanpa maize variety. Age, however, had an inversely significant relationship with the adoption of Obatanpa maize variety. The paper recommends that MoFA should mandate the formation of FBOs to enhance farmers’ access to resources. MoFA needs to also work with private partners to increase farmers’ access to credit facilities at low interest.
10. Baruwa, O. I., Kassaliand, R and Aremu, F. (2015). Adoption of Improved Maize Varieties Among Farming Households In Osun. Production Agriculture and Technology (PAT) December, 2015; 11 (2): 1-9.
11. CIMMYT Economics Program. (1993). The Adoption of Agricultural Technology: A Guide for Survey Design. Mexico, D.F.: CIMMYT.
12. Doss, C. R., Mwangi, W., Verkuijl, H and de Groote, H. (2003). Adoption of Maize and Wheat Technologies in Eastern Africa: A Synthesis of the Findings of 22 Case Studies. CIMMYT Economics Working Paper 03-06. Mexico, D.F.: CIMMYT.
13. England I., Stewart, D and Walker, S. (2000). Information Technology Adoption in Health Care: When Organizations and Technology Collide. Australian Health Review, 23(3): 176-185
14. Fadare A. O., Akerele, D and Toritseju, B. (2014). Factors Influencing Adoption Decisions of Maize Farmers in Nigeria. International Journal of Food and Agricultural Economics. 2(3): 45-54.
15. Feder, G., Just, R. E. and Zilberman, D. (1985). Adoption of Agricultural Innovations in Developing Countries: A Survey, Economic Development and Cultural Change, University of Chicago Press, 33(2): 255-298.
16. Felistus M. (2009). An analysis of factors influencing adoption of the recommended maize technology’s package in Makuyu Division and Muranga South District, Kenya. A Thesis submitted to the School of Humanities and Social Sciences in partial fulfilment of the requirements for the award of the degree of Master of Arts of Kenyatta University. http://ir-library.ku.ac.ke/bitstream/handle/123456789/1558/Mbugua%20%20%20%20Felistus.pdf?sequence=3
17. Gregory T. and Sewando, P. (2013). Determinants of the probability of adopting of quality protein maize (QPM) technology in Tanzania: A logistic regression analysis. International Journal of Development and Sustainability, 2(2): 729-746.
18. Hu, P. J., Chau, P. Y. K., Shengand, O. R. L. and Tam, K. Y. (1999). Examining the Technology Acceptance Model Using Physician Acceptance of TelemedicineTechnology. Journal of Management Information Systems, 16(2): 91-112.
19. Ibrahim, M., W. J. Florkowski and Kolavalli, S. (2012). The Determinants of Farmer Adoption of Improved Peanut Varieties and Their Impact on Farm Income: Evidence from Northern Ghana. College of Agriculture, Family Sciences and Technology.Fort Valley State University. IbrahimEtAl%20agr%20adoption.pdf
20. Idrisa, Y.L., Shehu, H and Ngamdu, M. B. (2012). Effects of Adoption of Improved Maize Seed on Household Food Security in Gwoza Local Government Area of Borno State, Nigeria. Global Journals Inc. (USA). Global Journal of Science Frontier Research Agriculture & Biology Volume 12 Issue 5 Version 1.0 April 2012. Double Blind Peer Reviewed International Research Journal. Online ISSN: 2249-4 626& Print ISSN: 0975-5896
21. Jack, B. K. (2013). Constraints on the adoption of agricultural technologies in developing countries. Literature review, Agricultural Technology Adoption Initiative, J-PAL (MIT) and CEGA (UC Berkeley).
22. Kafle, B. (2010). Determinants of adoption of improved maize varieties in Developing countries: a review. International Research Journal of Applied and Basic Sciences. 1(1):1-7.
23. Kasirye, I. (2013). Constraints to Agricultural Technology Adoption in Uganda: Evidence from the 2005/06-2009/10 Uganda National Panel Survey. Economic Policy Research Centre, Makerere University, Uganda.
24. Katengeza S. P., Mangisoni, J. H., Kassie, G. T., Langyintuo, S. A., Rovere, R. L. and Mwangi, W. (2012). Drivers of improved maize variety adoption in drought prone areas of Malawi Journal of Development and Agricultural Economics Vol. 4(14) 393-403.
25. Kuti, W. I. (2015). The determinants of adoption of improved maize varieties in Osun State, Nigeria. International Journal of Agricultural Economics and Extension, 3(2): 114-121
26. Lopes, H. (2010). Adoption of improved maize varieties and common bean varieties in Mozambique. Masters Thesis. Agricultural, Food and Resource Economics. Michigan State University.
27. Mignouna, D.B., V. M. Manyong, J. Rusike, K. D. S. Mutabazi, and E. M. Senkondo. 2011. Determinants of adopting imazapyr-resistant maize technologies and its impact on household income in Western Kenya. AgBioForum, 14(3), 158-163. http://www.agbioforum.org.
28. Mmbando F. E. and Baiyegunhi, L. J. S. (2016). Socio-economic and Institutional Factors Influencing Adoption of Improved Maize Varieties in Hai District, Tanzania. ResearchGate. https://www.researchgate.net/publication/304773194
29. Monela, G. A. (2014). Access to and adoption of improved seeds by smallholder farmers in Tanzania: Casses of Maize and Rice Seeds in Mbey and Morogoro Regions.
30. Morris, M.L., Tripp, R. and Dankyi, A. A.. (1999). Adoption and Impacts of Improved Maize Production Technology: A Case Study of the Ghana Grains Development Project. Economics Program Paper 99-01. Mexico, D.F.: CIMMYT
31. Mugisha J., and Diiro, G. (2010). Explaining the Adoption of Improved Maize Varieties and its Effects on Yields among Smallholder Maize Farmers in Eastern and Central Uganda. Middle-East Journal of Scientific Research 5(1): 6–13.
32. Ogada M. J., Mwabu, G and Muchai, D. (2014). Farm technology adoption in Kenya: a simultaneous estimation of inorganic fertilizer and improved maize variety adoption decisions. Agricultural and Food Economics. http://www.w3.org/1999/xhtml
33. Ouma J., Bett, E and Mbataru, P. (2014). Drivers of adoption of Improved Maize varieties in Moist Transitional zone of Eastern Kenya. Journal of Economics and Sustainable Development. 5(25):28-39.
34. Park, S. Y. (2009). An Analysis of the Technology Acceptance Model in Understanding University Students' Behavioral Intention to Use e-Learning. Educational Technology & Society, 12 (3): 150–162.
35. Parvan, A. (2011). Agricultural Technology Adoption: Issues for Consideration When Scaling-Up. http://blogs.cornell.edu/policyreview/2011/07/01/green-power-in-los-angeles-policies- programs-and-context/
36. Phichitchaisopa, N. and Naenna, T. (2013). Factors Affecting the Adoption of Healthcare Information Technology. EXCLI Journal 2013;12:413-436 – ISSN 1611-2156. http//www.excli.de/vol12/Naenna_13052013_proof.pdf
37. Rafael U. N. (2006). Determinants of Agricultural Technology Adoption in Mozambique. International Food Policy Research Institute. Maputo, Mozambique.
38. Riddell, W. C., and Song, X. (2012). The Role of Education in Technology Use and Adoption: Evidence from the Canadian Workplace and Employee Survey. IZA Discussion Paper No. 6377
39. Simtowe, F., Asfaw, S and Abate, T. (2016). Determinants of agricultural technology adoption under partial population awareness: the case of pigeonpea in Malawi. Agricultural and Food Economics, 4(7): 1-21.
40. Swanson, B. E. (2016). Improving agricultural extension. A reference manual. Natural Resources Management and Environment Department. FAO Document Repository.
41. Teferi A., Philip, A. Y. and Jaleta, M. (2015). Factors that affect the adoption of improved maize varieties by smallholder farmers in Central Oromia, Ethiopia. Developing Country Studies, 5(15):50-59.
42. Tiruneh S., Yigesu, A. Y and Bishaw, Z. (2015). Measuring the effectiveness of extension innovations for out-scaling agricultural technologies. African Journal of Agricultural Science and Technology (AJAST). 3(7): 316-326. 2015
43. Tiruneh S., Yigesu, A. Y. and Bishaw, Z. (2015). Measuring the effectiveness of extension innovations for out-scaling agricultural technologies. African Journal of Agricultural Science and Technology (AJAST). 7(3):316-326.
44. Tura M, Aredo, D., Tsegaye, W., Rovere, R. L. Tesfahun, G., Mwangi, W and 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.
45. Twumasi-Afriyie S., Badu-Apraku, B., Sallah, K. Y., Haag, W., Asiedu, E., Marfo, A. K., Dapaah, S and Dzah, D. B. (2006). Registration of ‘Obatanpa GH’ Maize. Crop Science Society of America.