984
Views
0
CrossRef citations to date
0
Altmetric
SOIL & CROP SCIENCES

Awareness and adoption of drought tolerant Maize in Guinea Savanna and Forest-Savanna Transition zone in Ghana

, , &
Article: 2147476 | Received 16 Jul 2022, Accepted 10 Nov 2022, Published online: 21 Nov 2022

References

  • Abdi, A., Faraji, A., Dehghan, F., & Khatony, A. (2018). Prevalence of self-medication practice among health sciences students in Kermanshah, Iran. BMC Pharmacology and Toxicology, 19(1), 36. https://doi.org/10.1186/s40360-018-0231-4
  • Adoption of Agricultural Innovations in Developing Countries: A Survey Gershon Feder ([email protected]), Richard Just and David Zilberman ([email protected]. (1985). Economic development and cultural change, 33(2). 255–19.
  • Aidoo, R., Mensah, J. O. B., Omono, F., & Abankwah, V. (2014). Factors determining the use of certified maize seeds by farmers in Ejura-Sekyedumasi Municipality in Ghana. World Journal of Agricultural Sciences, 2(5), 084–090.
  • Ajewole, O. O., Ayinde, O. E., Tahirou, A., Miranda, M. J., & Olaoye, I. J. (2021). Adoption of stress Tolerant Maize varieties. Does Gender Matter?.
  • Akudugu, M. A., Guo, E., & Dadzie, S. K. (2012). Adoption of modern agricultural production technologies by farm households in Ghana: What factors influence their decisions. International Institute for Science, Technology and Education, 2(3), 1–14.
  • Akumbole, J., Adam, H., & Zakaria, H. (2019). Effects of adoption of improved maize technology on yield among smallholder maize farmers in the Bawku West District of Upper East Region of Ghana. International Journal of Agricultural Science, Research and Technology in Extension and Education Systems, 9(1), 19–34. https://ijasrt.shoushtar.iau.ir/article_665305.html
  • Akumbole, J. A., Zakaria, H., & Adam, H. (2018). Determinants of adoption of improved maize technology among smallholder maize farmers in the Bawku West District of the Upper East Region of Ghana. development, 3, 6. https://doi.org/10.22377/aextj.v2i3.106
  • Amengor, N., Owusu-Asante, B., Adofo, K., Acheampong, P., Nsiah-Frimpong, B., Nimo-Wiredu, A., and Baafi, E. (2017). Adoption of improved sweetpotato varieties in Ghana. https://doi.org/10.9734/AJAEES/2018/39874
  • Anang, B. T., & Asante, B. O. (2020). Farm household access to agricultural services in northern Ghana. Heliyon, 6(11), e05517. https://doi.org/10.1016/j.heliyon.2020.e05517
  • Asante, F. A., & Amuakwa-Mensah, F. (2014). Climate change and variability in Ghana: Stocktaking. Climate, 3(1), 78–101. https://doi.org/10.3390/cli3010078
  • Asante, B. O., Koomson, I., Villano, R. A., & Wiredu, A. N. (2021). Adoption of integrated crop-livestock management practices (ICLMPs) among men and women smallholder farmers in Ghana. Gender, Technology and Development, 25(2), 163–192. https://doi.org/10.1080/09718524.2021.1911021
  • Aura, S. (2016). Determinants of the adoption of integrated soil fertility management technologies in Mbale division, Kenya. African Journal of Food, Agriculture, Nutrition and Development, 16(1), 10697–10710. https://doi.org/10.18697/ajfand.73.15735
  • Ayedun, B. (2018). Drought Tolerant Maize adoption and its determinants in West Africa. Acta Scientific Nutritional Health, 2(1), 21–30. https://www.actascientific.com/ASNH/pdf/ASNH-02-0045.pdf
  • Ayinde, O. (2017). Risk analysis in innovation system: A case study of production of vitamin A cassava variety among farmers in Oyo State, Nigeria. Gaziosmanpașa Üniversitesi Ziraat Fakültesi Dergisi, 34(3), 261–268. https://doi.org/10.13002/JAFAG4190
  • Azumah, S. B., & Adzawla, W. (2017). Effect of urea deep placement technology adoption on the production frontier: Evidence from irrigation rice farmers in the Northern Region of Ghana. International Journal of Biological, Biomolecular, Agricultural, Food and Biotechnological Engineering, 11(4), 288–294. https://doi.org/10.5281/zenodo.1130019
  • Azumah, S. B., Donkoh, S. A., & Ansah, I. G. K. (2017). Contract farming and the adoption of climate change coping and adaptation strategies in the northern region of Ghana. Environment, Development and Sustainability, 19(6), 2275–2295. https://doi.org/10.1007/s10668-016-9854-z
  • Baiyegunhi, L., Akinbosoye, F., & Bello, L. (2022). Welfare impact of improved maize varieties adoption and crop diversification practices among smallholder maize farmers in Ogun State, Nigeria. Heliyon, 8(5), e09338. https://doi.org/10.1016/j.heliyon.2022.e09338
  • Bello, L. O., Baiyegunhi, L. J., & Danso-Abbeam, G. (2021). Productivity impact of improved rice varieties’ adoption: Case of smallholder rice farmers in Nigeria. Economics of Innovation and New Technology, 30(7), 750–766. https://doi.org/10.1080/10438599.2020.1776488
  • Bezu, S., Kassie, G. T., Shiferaw, B., & Ricker-Gilbert, J. (2014). Impact of improved maize adoption on welfare of farm households in Malawi: A panel data analysis. World Development, 59, 120–131. https://doi.org/10.1016/j.worlddev.2014.01.023
  • Chandio, A. A., & Jiang, Y. (2018). Factors influencing the adoption of improved wheat varieties by rural households in Sindh, Pakistan. AIMS Agriculture and Food, 3(3), 216–228. https://doi.org/10.3934/agrfood.2018.3.216
  • Da Cunha, D. A., Coelho, A. B., & Féres, J. G. (2015). Irrigation as an adaptive strategy to climate change: An economic perspective on Brazilian agriculture. Environment and Development Economics, 20(1), 57–79. https://doi.org/10.1017/S1355770X14000102
  • Danso-Abbeam, G., Bosiako, J. A., Ehiakpor, D. S., Mabe, F. N., & Aye, G. (2017). Adoption of improved maize variety among farm households in the northern region of Ghana. Cogent Economics & Finance, 5(1), 1416896. https://doi.org/10.1080/23322039.2017.1416896
  • Diagne, A. (2012). Adoption: A new Stata routine for estimating consistently population technological adoption parameters. Paper presented at the SAN12 Stata Conference. https://econpapers.repec.org/RePEc:boc:scon12:17
  • Diagne, A., & Demont, M. (2007). Taking a new look at empirical models of adoption: Average treatment effect estimation of adoption rates and their determinants. Agricultural Economics, 37(2‐3), 201–210. https://doi.org/10.1111/j.1574-0862.2007.00266.x
  • DiFalco, S., & Sharma, S. (2018). Investing in climate change adaptation: Motivations and green incentives in the Fiji Islands. Ecological Economics, 154, 394–408. https://doi.org/10.1016/j.ecolecon.2018.08.015
  • Dinar, A., & Yaron, D. (1992). Adoption and abandonment of irrigation technologies. Agricultural Economics, 6(4), 315–332. https://doi.org/10.1111/j.1574-0862.1992.tb00191.x
  • Donkoh, S. A., Azumah, S. B., & Awuni, J. A. (2019). Adoption of improved agricultural technologies among rice farmers in Ghana: A multivariate probit approach. Ghana Journal of Development Studies, 16(1), 46–67. https://doi.org/10.4314/gjds.v16i1.3
  • Doss, C. R. (2003). Understanding farm level technology adoption: Lessons learned from CIMMYT's micro surveys in Eastern Africa. CIMMYT.
  • Feder, G., & Umali, D. L. (1993). The adoption of agricultural innovations: A review. Technological Forecasting and Social Change, 43(3–4), 215–239.
  • Fening, J. O., Ewusi- Mensah, N., & Safo, E. Y. (2011). Short-term effects of Cattle Manure Compost and NPK Application on Maize Grain Yield and Soil Chemical and Physical Properties. Agricultural Science Research Journal, 1(3), 69–83.
  • Fisher, M., & Kandiwa, V. (2014). Can agricultural input subsidies reduce the gender gap in modern maize adoption? Evidence from Malawi. Food Policy, 45, 101–111. https://doi.org/10.1016/j.foodpol.2014.01.007
  • Gebre, G. G., Mawia, H., Makumbi, D., & Rahut, D. B. (2021). The impact of adopting stress‐tolerant maize on maize yield, maize income, and food security in Tanzania. Food and Energy Security, 10(4), e313. https://doi.org/10.1002/fes3.313
  • Geroski, P. A. (2000). Models of technology diffusion. Research Policy, 29(4), 603–625. https://doi.org/10.1016/S0048-7333(99)00092-X
  • Ghimire, R., Wen-Chi, H., & Shrestha, R. B. (2015). Factors affecting adoption of improved rice varieties among rural farm households in Central Nepal. Rice Science, 22(1), 35–43. https://doi.org/10.1016/j.rsci.2015.05.006
  • Hassan, W. (2018). Determinants of adoption of improved Maize Varieties In Zabzugu Tatale Area In The Northern Region Of Ghana: A case study of obatanpa. https://www.researchgate.net/publication/330839003_Determinants_of_Adoption_of_Improved_Maize_Varieties_in_Zabzugu-Tatale_Districts_in_the_Northern_Region_of_Ghana_A_Case_Study_of_Obaatanpa_Variety
  • Jain, R., Arora, A., & Raju, S. S. (2009). A novel adoption index of selected agricultural technologies: Linkages with infrastructure and productivity. Agricultural Economics Research Review, 22(347–2016–16726), 109–120.
  • Kabunga, N. S., Dubois, T., & Qaim, M. (2012). Heterogeneous information exposure and technology adoption: The case of tissue culture bananas in Kenya. Agricultural Economics, 43(5), 473–486. https://doi.org/10.1111/j.1574-0862.2012.00597.x
  • Kassie, M., Stage, J., Teklewold, H., & Erenstein, O. (2015). Gendered food security in rural Malawi: Why is women’s food security status lower? Food Security, 7(6), 1299–1320. https://doi.org/10.1007/s12571-015-0517-y
  • Kebede, Y., Gunjal, K., & Coffin, G. (1990). Adoption of new technologies in Ethiopian agriculture: The case of Tegulet-Bulga District, Shoa Province. Agricultural Economics: The Journal of the International Association of Agricultural Economists, 4(968–2016–75386), 27–43.
  • Kimathi, S. M., Ayuya, O. I., Mutai, B., & Yildiz, F. (2021). Adoption of climate-resilient potato varieties under partial population exposure and its determinants: Case of smallholder farmers in Meru County, Kenya. Cogent Food & Agriculture, 7(1), 1860185. https://doi.org/10.1080/23311932.2020.1860185
  • Krejcie, R. V., & Morgan, D. W. (1970). Determining sample size for research activities. Educational and Psychological Measurement, 30(3), 607–610. https://doi.org/10.1177/001316447003000308
  • Kumar, S., Raut, R. D., Nayal, K., Kraus, S., Yadav, V. S., & Narkhede, B. E. (2021). To identify industry 4.0 and circular economy adoption barriers in the agriculture supply chain by using ISM-ANP. Journal of Cleaner Production, 293, 126023. https://doi.org/10.1016/j.jclepro.2021.126023
  • Kumar, A., Takeshima, H., Thapa, G., Adhikari, N., Saroj, S., Karkee, M., & Joshi, P. (2020). Adoption and diffusion of improved technologies and production practices in agriculture: Insights from a donor-led intervention in Nepal. Land Use Policy, 95, 104621. https://doi.org/10.1016/j.landusepol.2020.104621
  • Lavison, R. K. (2013). Factors influencing the adoption of organic fertilizers in vegetable production in Accra. University of Ghana.
  • Loevinsohn, M., Sumberg, J., Diagne, A., & Whitfield, S. (2013). Under what circumstances and conditions does adoption of technology result in increased agricultural productivity? A Systematic Review.
  • Mabe, F., Ehiakpor, D., Adam, B., & Dumasi, D. (2018). Determinants of adoption of improved rice varieties: Effects on output in Volta region. http://www.udsspace.uds.edu.gh/handle/123456789/2462
  • Maertens, A., & Barrett, C. B. (2013). Measuring social networks' effects on agricultural technology adoption. American Journal of Agricultural Economics, 95(2), 353–359.
  • Maguza-Tembo, F., Edriss, A.-K., & Mangisoni, J. (2017). Determinants of climate smart agriculture technology adoption in the drought prone districts of Malawi using a multivariate probit analysis. Asian Journal of Agricultural Extension, Economics & Sociology, 16(3), 1–12. https://doi.org/10.9734/AJAEES/2017/32489
  • MINISTRY OF FOOD AND AGRICULTURE (MoFA) (2018). Agriculture in Ghana. Facts and Figures 2017. Statistics, Research and Information Directorate (SRID) of MoFA, October . www.mofa.gov.gh
  • Mishra, K., Abdoul, S. G., Miranda, M. J., & Diiro, G. M. (2015). Gender and Dynamics of Technology Adoption. Evidence from Uganda.
  • Mmbando, F. E., & Baiyegunhi, L. J. (2016). Socio-economic and institutional factors influencing adoption of improved maize varieties in Hai District, Tanzania. Journal of Human Ecology, 53(1), 49–56. https://doi.org/10.1080/09709274.2016.11906955
  • Murphy, S. A., van der Laan, M. J., Robins, J. M., & Group, C. P. P. R. (2001). Marginal mean models for dynamic regimes. Journal of the American Statistical Association, 96(456), 1410–1423. https://doi.org/10.1198/016214501753382327
  • Mwangi, M., & Kariuki, S. (2015). Factors determining adoption of new agricultural technology by smallholder farmers in developing countries. Journal of Economics and Sustainable Development, 6(5).
  • Nkegbe, P. K., & Shankar, B. (2014). Adoption intensity of soil and water conservation practices by smallholders: Evidence from Northern Ghana. Bio-based and Applied Economics Journal, 3(1050–2016–85757), 159–174. https://doi.org/10.13128/BAE-13246
  • Obayelu, A. E., & Ajayi, D. O. (2018). Economic impact and determinants of adoption of improved maize production technologies. Journal of Agricultural Sciences, Belgrade, 63(2), 217–228. https://doi.org/10.2298/JAS1802217O
  • Okuthe, I. K., Ngesa, F., & Ochola, W. (2013). The socio-economic determinants of the adoption of improved sorghum varieties and technologies by smallholder farmers: Evidence from South Western Kenya. International Journal of Humanities and Social Science, 3(18), 280–292. http://www.ijhssnet.com/journals/Vol_3_No_18_October_2013/29.pdf
  • Omiti, J. M., Otieno, D. J., Nyanamba, T. O., & McCullough, E. B. (2009). Factors influencing the intensity of market participation by smallholder farmers: A case study of rural and peri-urban areas of Kenya. African Journal of Agricultural and Resource Economics, 3(311–2016–5509), 57–82.
  • Ragasa, C., Berhane, G., Tadesse, F., & Taffesse, A. S. (2013). Gender differences in access to extension services and agricultural productivity. The Journal of Agricultural Education and Extension, 19(5), 437–468. https://doi.org/10.1080/1389224X.2013.817343
  • Rahman, M. (2021). Determinants of integrated pest management (IPM) practices dis-adoption in vegetables production in Bangladesh. International Journal of Tropical Insect Science, 41(1), 487–494. https://doi.org/10.1007/s42690-020-00231-7
  • Rogers, E. M., & Williams, D. (1983). Diffusion of Innovations. The Free Press.
  • Rosenbaum, P. R., & Rubin, D. B. (1985). Constructing a control group using multivariate matched sampling methods that incorporate the propensity score. The American Statistician, 39(1), 33–38. https://doi.org/10.2307/2683903
  • Simtowe, F., Muange, E., Munyua, B., & Diagne, A. (2012). Technology awareness and adoption: The case of improved pigeon pea varieties in Kenya. Paper presented at the Selected Paper prepared for presentation at the International Association of Agricultural Economists (IAAE) Triennial Conference, Foz do Iguaçu, Brazil. https://econpapers.repec.org/RePEc:ags:iaae12:126760
  • Tang, J., Folmer, H., & Xue, J. (2013). Estimation of awareness and perception of water scarcity among farmers in the Guanzhong Plain, China, by means of a structural equation model. Journal of Environmental Management, 126, 55–62. https://doi.org/10.1016/j.jenvman.2013.03.051
  • Uaiene, R. N., Arndt, C., & Masters, W. (2009) Determinants of agricultural technology adoption in Mozambique. Discussion papers(67E).
  • Ullah, A., Saqib, S. E., & Kächele, H. (2022). Determinants of farmers’ awareness and adoption of extension recommended wheat varieties in the rainfed areas of Pakistan. Sustainability, 14(6), 3194. https://doi.org/10.3390/su14063194
  • Voss, R. C., Jansen, T., Mané, B., & Shennan, C. (2021). Encouraging technology adoption using ICTs and farm trials in Senegal: Lessons for gender equity and scaled impact. World Development, 146, 105620. https://doi.org/10.1016/j.worlddev.2021.105620
  • Wandji, D. N., Pouomogne, V., Binam, J. N., & Nouaga, R. Y. (2012). Farmer’s perception and adoption of New Aquaculture technologies in the Western Highlands of Cameroon. Tropicultura, 30(3), 180–184.
  • Wooldridge, J. M. (2002). Inverse probability weighted M-estimators for sample selection, attrition, and stratification. Portuguese Economic Journal, 1(2), 117–139. https://doi.org/10.1007/s10258-002-0008-x
  • Yimer, F., Abay, K., & Degu, T. (2019). Evaluation of modern agricultural technologies adoption and impact of adoption on productivity. FARA Res. Rep, 4(3), 1–26. https://library.faraafrica.org/mp-files/evaluation-of-modern-agricultural-technologies-adoption-and-impact-of-adoption-download.pdf/