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Factors Influencing Farmers’ Adoption of Climate Smart Agriculture Practices in the Case of Ilu Aba Bora Zone, South West Ethiopia

Published in Frontiers (Volume 4, Issue 3)
Received: 8 August 2024     Accepted: 9 September 2024     Published: 29 September 2024
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Abstract

To overcome the challenges of climate change, this study was intended to identify factors that affect the farmers’ adoption of CSA in the Ilu Aba Bora Zone of Southwest Ethiopia across varying agro-ecological zones. A mixed research design was used for this study. During this study, representative districts (Bure, Hurumu, and Nono Sale) were selected purposely based on their differences in agro-ecology, while rural kebeles and respondents were selected randomly from the districts to minimize the biases of the data. Data collection tools employed were a questionnaire, KKI, FGD, and field observations. A binomial logistic regression model was used to identify the interaction of response and explanatory variables and to draw a conclusion. The findings of this study revealed the majority (63.1%) of farmers did not have an understanding of the meaning, function, and goals of CSA practices. Existing CSA options in the study area were conservation agriculture, crop diversification, agro-forestry, early warning system, livelihood diversification, and improved livestock feed, which were practiced at different levels and by a few households. In particular, the early warning system and improved livestock feed were the least implemented CSA options, whereas livelihood diversification, conservation agriculture, and agro-forestry were the highly adopted practices in the area. Independent variables including on-farm income, farming experience, weather information, agro-ecology, farm land size, age, extension service, marital status, and off-farm income were the factors significantly affecting the adoption of CSA practices in the study area. Experts, governments, and nongovernmental organizations should improve farmers’ awareness of the benefits of CSA practices in ensuring food security, climate mitigation and adaptation through training and capacity building. The result of this study will show the direction for farmers, policy makers, planners, and other stakeholders to set up a solution in order to promote CSA practices and technologies based on agro-ecology.

Published in Frontiers (Volume 4, Issue 3)
DOI 10.11648/j.frontiers.20240403.14
Page(s) 101-111
Creative Commons

This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited.

Copyright

Copyright © The Author(s), 2024. Published by Science Publishing Group

Keywords

Adoption, Awareness, Climate Smart Agriculture, Practices

References
[1] Gemeda, W.S., Datt, S.P. (2018). Characterization of soils under major land uses in Chencha District, South Ethiopia. Journal of Soil Science and Environmental Management, 9: 127-137.
[2] Adem, M., Tadele, E., Mossie, H., Ayenalem, M. (2018). Income diversification and food security situation in Ethiopia: A review study. Cogent Food & Agriculture, 4: 1513354.
[3] Dendir, Z., Simane, B. (2019). Livelihood vulnerability to climate variability and change in different agroecological zones of Gurage Administrative Zone, Ethiopia. Progress in Disaster Science, 3: 100035.
[4] Abegunde, V. O., Sibanda, M., Obi, A., (2019). The dynamics of climate change adaptation in sub-Saharan Africa: a review of climate-smart agriculture among small-scale farmers. Clim. 7, 132.
[5] International Fund for Agricultural Development (IFAD). (2019). Climate change mitigation potential of agricultural practices supported by IFAD investments: An ex ante analysis.
[6] Food and Agricultural Organization (FAO). (2016). Eastern Africa Climate-Smart Agriculture Scoping Study: Ethiopia, Kenya and Uganda.
[7] Bazzana, D., Foltz, J. D. and Zhang, Y. (2021), “Impact of climate smart agriculture on food security: an agent-based analysis”, FEEM Working Paper No. 18.2021, available at:
[8] Abiyot Teklu Meshesha, Belay Simane Birhanu, Mintewab Bezabih Ayele. (2022). Effects of perceptions on adoption of climate-smart agriculture innovations: empirical evidence from the upper Blue Nile High lands of Ethiopia.
[9] Bidogeza, J. C., P. B. M. Berentsen, J. De Gfaaff and G. J. M. Oude Lansink. (2009). “A typology of farm households for the Umutara province, Rwanda.’’ Food Security.
[10] Teklewold, H., Gebrehiwot, T., Bezabih, M. (2019). Climate smart agricultural practices and gender differentiated nutrition outcome: An empirical evidence from Ethiopia. World Development, 122: 38-53.
[11] Issahaku, G., Abdulai, A. (2020). Adoption of climate-smart practices and its impact on farm performance and risk exposure among smallholder farmers in Ghana. Australian Journal of Agricultural and Resource Economics, 64: 396-420. https://doi.org/10.1111/1467-8489.12357
[12] Yamane, Taro. 1967. Statistics, An Introductory Analysis, 2nd Ed., New York: Harper and Row.
[13] Asrat, P., Simane, B., 2017. Household and plot-level impacts of sustainable land management practices in the face of climate variability and change: empirical evidence from Dabus Sub-basin, Blue Nile River, Ethiopia. Agric Food Secur 6, 61.
[14] Tekeste Kifle, Desalegn Yayeh Ayal and Messay Mulugeta. (2022). Factors influencing farmers adoption of climate smart agriculture to respond climate variability in Siyadebrina Wayu District, Central highland of Ethiopia.
[15] Zekarias Zemarku, Mulumels Abrham, Elias Bojago, and Tsegeye Bojago Dado (2022). Determinants of Small-Scale Irrigation Use for Poverty Reduction: The Case of Offa Woreda, Wolaita Zone, Southern Ethiopia.
[16] Bamlaku Ayenew Kassa and Abera Tilahun Abdi. (2022). Factors Influencing the Adoption of Climate-Smart Agricultural Practice by Small-Scale Farming Households in Wondo Genet, Southern Ethiopia.
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  • APA Style

    Kiti, H. Y., Galu, S. T., Baye, K. N. (2024). Factors Influencing Farmers’ Adoption of Climate Smart Agriculture Practices in the Case of Ilu Aba Bora Zone, South West Ethiopia. Frontiers, 4(3), 101-111. https://doi.org/10.11648/j.frontiers.20240403.14

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    ACS Style

    Kiti, H. Y.; Galu, S. T.; Baye, K. N. Factors Influencing Farmers’ Adoption of Climate Smart Agriculture Practices in the Case of Ilu Aba Bora Zone, South West Ethiopia. Frontiers. 2024, 4(3), 101-111. doi: 10.11648/j.frontiers.20240403.14

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    AMA Style

    Kiti HY, Galu ST, Baye KN. Factors Influencing Farmers’ Adoption of Climate Smart Agriculture Practices in the Case of Ilu Aba Bora Zone, South West Ethiopia. Frontiers. 2024;4(3):101-111. doi: 10.11648/j.frontiers.20240403.14

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  • @article{10.11648/j.frontiers.20240403.14,
      author = {Habtamu Yadeta Kiti and Samuel Taye Galu and Ketema Niguse Baye},
      title = {Factors Influencing Farmers’ Adoption of Climate Smart Agriculture Practices in the Case of Ilu Aba Bora Zone, South West Ethiopia
    },
      journal = {Frontiers},
      volume = {4},
      number = {3},
      pages = {101-111},
      doi = {10.11648/j.frontiers.20240403.14},
      url = {https://doi.org/10.11648/j.frontiers.20240403.14},
      eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.frontiers.20240403.14},
      abstract = {To overcome the challenges of climate change, this study was intended to identify factors that affect the farmers’ adoption of CSA in the Ilu Aba Bora Zone of Southwest Ethiopia across varying agro-ecological zones. A mixed research design was used for this study. During this study, representative districts (Bure, Hurumu, and Nono Sale) were selected purposely based on their differences in agro-ecology, while rural kebeles and respondents were selected randomly from the districts to minimize the biases of the data. Data collection tools employed were a questionnaire, KKI, FGD, and field observations. A binomial logistic regression model was used to identify the interaction of response and explanatory variables and to draw a conclusion. The findings of this study revealed the majority (63.1%) of farmers did not have an understanding of the meaning, function, and goals of CSA practices. Existing CSA options in the study area were conservation agriculture, crop diversification, agro-forestry, early warning system, livelihood diversification, and improved livestock feed, which were practiced at different levels and by a few households. In particular, the early warning system and improved livestock feed were the least implemented CSA options, whereas livelihood diversification, conservation agriculture, and agro-forestry were the highly adopted practices in the area. Independent variables including on-farm income, farming experience, weather information, agro-ecology, farm land size, age, extension service, marital status, and off-farm income were the factors significantly affecting the adoption of CSA practices in the study area. Experts, governments, and nongovernmental organizations should improve farmers’ awareness of the benefits of CSA practices in ensuring food security, climate mitigation and adaptation through training and capacity building. The result of this study will show the direction for farmers, policy makers, planners, and other stakeholders to set up a solution in order to promote CSA practices and technologies based on agro-ecology.
    },
     year = {2024}
    }
    

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  • TY  - JOUR
    T1  - Factors Influencing Farmers’ Adoption of Climate Smart Agriculture Practices in the Case of Ilu Aba Bora Zone, South West Ethiopia
    
    AU  - Habtamu Yadeta Kiti
    AU  - Samuel Taye Galu
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    PB  - Science Publishing Group
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    AB  - To overcome the challenges of climate change, this study was intended to identify factors that affect the farmers’ adoption of CSA in the Ilu Aba Bora Zone of Southwest Ethiopia across varying agro-ecological zones. A mixed research design was used for this study. During this study, representative districts (Bure, Hurumu, and Nono Sale) were selected purposely based on their differences in agro-ecology, while rural kebeles and respondents were selected randomly from the districts to minimize the biases of the data. Data collection tools employed were a questionnaire, KKI, FGD, and field observations. A binomial logistic regression model was used to identify the interaction of response and explanatory variables and to draw a conclusion. The findings of this study revealed the majority (63.1%) of farmers did not have an understanding of the meaning, function, and goals of CSA practices. Existing CSA options in the study area were conservation agriculture, crop diversification, agro-forestry, early warning system, livelihood diversification, and improved livestock feed, which were practiced at different levels and by a few households. In particular, the early warning system and improved livestock feed were the least implemented CSA options, whereas livelihood diversification, conservation agriculture, and agro-forestry were the highly adopted practices in the area. Independent variables including on-farm income, farming experience, weather information, agro-ecology, farm land size, age, extension service, marital status, and off-farm income were the factors significantly affecting the adoption of CSA practices in the study area. Experts, governments, and nongovernmental organizations should improve farmers’ awareness of the benefits of CSA practices in ensuring food security, climate mitigation and adaptation through training and capacity building. The result of this study will show the direction for farmers, policy makers, planners, and other stakeholders to set up a solution in order to promote CSA practices and technologies based on agro-ecology.
    
    VL  - 4
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