Ayolo, A., Adeniji, O. (2025). Factors Influencing Indigenous Technology Utilization for Climate Change Mitigation Among Arable Crop Farmers in Ekiti State, Nigeria. , (), 1-8. doi: 10.33794/qjas.2025.160022.1204
Abdulrahman Bakare Ayolo; Oladimeji Adeniji. "Factors Influencing Indigenous Technology Utilization for Climate Change Mitigation Among Arable Crop Farmers in Ekiti State, Nigeria". , , , 2025, 1-8. doi: 10.33794/qjas.2025.160022.1204
Ayolo, A., Adeniji, O. (2025). 'Factors Influencing Indigenous Technology Utilization for Climate Change Mitigation Among Arable Crop Farmers in Ekiti State, Nigeria', , (), pp. 1-8. doi: 10.33794/qjas.2025.160022.1204
Ayolo, A., Adeniji, O. Factors Influencing Indigenous Technology Utilization for Climate Change Mitigation Among Arable Crop Farmers in Ekiti State, Nigeria. , 2025; (): 1-8. doi: 10.33794/qjas.2025.160022.1204

Factors Influencing Indigenous Technology Utilization for Climate Change Mitigation Among Arable Crop Farmers in Ekiti State, Nigeria

Al-Qadisiyah Journal For Agriculture Sciences
Articles in Press, Accepted Manuscript, Available Online from 31 December 2025    PDF (722.04 K)
Document Type: Review Paper
DOI: 10.33794/qjas.2025.160022.1204
Authors
Abdulrahman Bakare Ayolo* 1; Oladimeji Adeniji2
1Federal University Oye Ekiti, Nigeria
2Department of Agricultural Extension and Rural Sociology, Faculty of Agriculture, Federal University, Oye Ekiti
Abstract
Agricultural practices have been affected by climate variability which is a global issue that Smallholder Arable crop farmers must tackle for increased productivity. This study assessed factors influencing the use of indigenous technology for mitigating the effect of climate change and specifically identify indigenous technologies used for mitigating climate change among arable crop farmers and isolated and categorized variables that influenced the use of indigenous technology to mitigate climate variability. Simple random sampling technique was used to sample 340 respondents who are arable crop farmers. Data collected were factor analyzed, results showed that four factors were loaded and named as personal characteristics factor, interpersonal relationship factor, institutional factor and educational related factor. Factor 1 accounted for 25.62% of the variance in the benefit of indigenous technologies and was labeled “Personal Characteristics, factor 2 explained 20.96% and was labeled "Interpersonal Relationships, factor 3 an institutional factor, contributed approximately 12.81%, factor 4 related to education, contributed about 8.48%. It was concluded that the four critical factors that influence indigenous technology utilization among arable crop farmers were personal characteristics, interpersonal, institutional and educational factors. Therefore, it was recommended that any effort to mitigate climate change through indigenous technology must focus on the above factors in designing any programe for effectiveness. Government and researchers can take advantage of this recommendations to have a fruitful effort in the mitigation strategies for climate change. 
Keywords
climate change; mitigation; indigenous; technology; arable crops
References
  1. Dinar, A, Hassan, Kurukulasuriya, P, Benhin, J & Mendelsohn, R, 2006. The policy nexus between agriculture and climate change in Africa. A synthesis of the investigation under the GEF/WB Project: Regional climate, water and agriculture: Impacts on and adaptation agro-ecological systems in Africa. CEEPA Discussion Paper No. 39. Centre for Environmental Economics and Policy in Africa, University of Pretoria. https://doi.org/10.1596/1813-9450-4599
  2. Apata T.G., K.D. Samuel and A. O. Adeola (2009): Analysis of Climate Change Perception and Adaptation among Arable Food Crop Farmers in South Western Nigeria. Contributed Paper prepared for presentation at the International Association of Agricultural Economists’ 2009 Conference, Beijing, China, August 16-22, 2009.
  3. Bryan E, Claudia R, Barrack O, Carla R, Silvia S, Mario H: Journal of Environmental Management, Volume114, 15 January 2013, pages 26-35.
  4. Schlenker W, Lobell DB (2010) Robust negative impacts of climate change on African agriculture. Environ Res Lett 5(1):014010. https://doi.org/10.1088/1748-9326/5/1/014010
  5. Challinor, J., Watson, J., & Chhetri, N. (2014). Climate change. Nature Climate Change, 4, 287–291. https://doi.org/10.1038/nclimate2153
  6. Kompas, T., and Ha, P. V. (2017). The ‘curse of dimensionality’ resolved: The effects of climate change and trade barriers in large dimensional modelling. Presented at the 3rd International Workshop on Financial Markets and Nonlinear Dynamics (FMND). Paris, France. 1 June 2107, https://doi.org/10.2139/ssrn.3222092
  7. Federal Ministry of Education (2011). Annual Report. Ministry of Education.
  8. National Bureau of Statistics NBS (2015). National Bureau of Statistics, Nigeria. https://knoema.com/atlas/sources/NBS-NG.
  9. AGRA (Alliance for a Green Revolution in Africa) (2014) Africa Agriculture Status Report: Climate Change and Smallholder Agriculture in Sub-Saharan Africa. Alliance for a Green Revolution in Africa, Nairobi. https://doi.org/10.18697/ajfand.84.blfb1002
  10. Wisner, B., Blaikie, P., Cannon, T., and Davis, I. (2004) At Risk: Natural Hazards, People’s Vulnerability and Disasters. Routledge. https://doi.org/10.4324/9780203428764
  11. Adefolalu, D.O.A., (2007). “Climate Change and Economic Sustainability in Nigeria”. Paper presented at the international conference on climate change, Nnamdi Azikiwe University, Awka 12-14 June 2007 Vol.1 (1): pp. 36-49. https://doi.org/10.17501/2513258x.2024.8104
  12. Adejuwon, S. A. (2004). Impact of Climate Variability and Climate Change on Crop Yield in Nigeria. Contributed paper to Stakeholders Workshop on Assessment of Impact and Adaptation to Climate Change (AIACC): 2-8.
  13. Ozor N, Nnaji C. Difficulties in adaptation to climate change by farmers in Enugu State, Nigeria. Journal of Agricultural Extension. 2010;14(2):106-122. https://doi.org/10.4314/jae.v14i2.64127
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