Adoption of Climate-Smart Agricultural Technologies and Practices in Fragile and Conflict-Affected Settings: A Review and Meta-Analysis
A major challenge for countries dealing with conflict and instability is encouraging the use of farming technologies and natural resource management practices that are climate-smart. These practices boost productivity, build resilience to climate challenges and thus contribute to other dimensions...
| Autores principales: | , , , , , |
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| Formato: | Artículo preliminar |
| Lenguaje: | Inglés |
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leibniz institute fur wirtschaftsforschung
2025
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| Acceso en línea: | https://hdl.handle.net/10568/169857 |
| _version_ | 1855538758746636288 |
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| author | Nshakira-Rukundo, Emmanuel Tabe-Ojong, Martin Paul Gebrekidan, Bisrat Agaba, Monica Surendran Padmaja, Subash Dhehibi, Boubaker |
| author_browse | Agaba, Monica Dhehibi, Boubaker Gebrekidan, Bisrat Nshakira-Rukundo, Emmanuel Surendran Padmaja, Subash Tabe-Ojong, Martin Paul |
| author_facet | Nshakira-Rukundo, Emmanuel Tabe-Ojong, Martin Paul Gebrekidan, Bisrat Agaba, Monica Surendran Padmaja, Subash Dhehibi, Boubaker |
| author_sort | Nshakira-Rukundo, Emmanuel |
| collection | Repository of Agricultural Research Outputs (CGSpace) |
| description | A major challenge for countries dealing with conflict and instability is encouraging the use of farming
technologies and natural resource management practices that are climate-smart. These practices boost
productivity, build resilience to climate challenges and thus contribute to other dimensions of resilience
such as those associated with conflict. In this review and meta-analysis, we assess factors associated with
farmers’ adoption decisions for such technologies and practices. We use advanced machine learning tools
to analyze over 42,000 published papers. Focusing on countries identified as fragile due to either climate
shocks or conflict, we select 109 papers and extract 1330 coefficients and implement partial correlation
coefficient analysis. Our findings show that most of the research comes from two countries; Ethiopia and
Nigeria and we do not find any studies from Small Island States. We categorized the technologies into five
technology groups, including soil health, erosion management, mechanization, input use and risk reduction
technologies. Analysis reveals that factors such as farmer training, access to information, subsidies, and
past experiences of using technologies predicts further technology adoption. However, there are significant differences across various technology groups and most especially, a very low coverage of risk-reduction technologies such as insurance. |
| format | Artículo preliminar |
| id | CGSpace169857 |
| institution | CGIAR Consortium |
| language | Inglés |
| publishDate | 2025 |
| publishDateRange | 2025 |
| publishDateSort | 2025 |
| publisher | leibniz institute fur wirtschaftsforschung |
| publisherStr | leibniz institute fur wirtschaftsforschung |
| record_format | dspace |
| spelling | CGSpace1698572026-01-22T09:01:15Z Adoption of Climate-Smart Agricultural Technologies and Practices in Fragile and Conflict-Affected Settings: A Review and Meta-Analysis Nshakira-Rukundo, Emmanuel Tabe-Ojong, Martin Paul Gebrekidan, Bisrat Agaba, Monica Surendran Padmaja, Subash Dhehibi, Boubaker climate change fragility agriculture technology adoption determinant A major challenge for countries dealing with conflict and instability is encouraging the use of farming technologies and natural resource management practices that are climate-smart. These practices boost productivity, build resilience to climate challenges and thus contribute to other dimensions of resilience such as those associated with conflict. In this review and meta-analysis, we assess factors associated with farmers’ adoption decisions for such technologies and practices. We use advanced machine learning tools to analyze over 42,000 published papers. Focusing on countries identified as fragile due to either climate shocks or conflict, we select 109 papers and extract 1330 coefficients and implement partial correlation coefficient analysis. Our findings show that most of the research comes from two countries; Ethiopia and Nigeria and we do not find any studies from Small Island States. We categorized the technologies into five technology groups, including soil health, erosion management, mechanization, input use and risk reduction technologies. Analysis reveals that factors such as farmer training, access to information, subsidies, and past experiences of using technologies predicts further technology adoption. However, there are significant differences across various technology groups and most especially, a very low coverage of risk-reduction technologies such as insurance. 2025-01-24T16:39:19Z 2025-01-24T16:39:19Z Working Paper https://hdl.handle.net/10568/169857 en Limited Access leibniz institute fur wirtschaftsforschung Emmanuel Nshakira-Rukundo, Martin Paul Tabe-Ojong, Bisrat Gebrekidan, Monica Agaba, Subash Surendran Padmaja, Boubaker Dhehibi. (1/12/2024). Adoption of Climate-Smart Agricultural Technologies and Practices in Fragile and Conflict-Affected Settings: A Review and Meta-Analysis. Germany: leibniz institute fur wirtschaftsforschung. |
| spellingShingle | climate change fragility agriculture technology adoption determinant Nshakira-Rukundo, Emmanuel Tabe-Ojong, Martin Paul Gebrekidan, Bisrat Agaba, Monica Surendran Padmaja, Subash Dhehibi, Boubaker Adoption of Climate-Smart Agricultural Technologies and Practices in Fragile and Conflict-Affected Settings: A Review and Meta-Analysis |
| title | Adoption of Climate-Smart Agricultural Technologies and Practices in Fragile and Conflict-Affected Settings: A Review and Meta-Analysis |
| title_full | Adoption of Climate-Smart Agricultural Technologies and Practices in Fragile and Conflict-Affected Settings: A Review and Meta-Analysis |
| title_fullStr | Adoption of Climate-Smart Agricultural Technologies and Practices in Fragile and Conflict-Affected Settings: A Review and Meta-Analysis |
| title_full_unstemmed | Adoption of Climate-Smart Agricultural Technologies and Practices in Fragile and Conflict-Affected Settings: A Review and Meta-Analysis |
| title_short | Adoption of Climate-Smart Agricultural Technologies and Practices in Fragile and Conflict-Affected Settings: A Review and Meta-Analysis |
| title_sort | adoption of climate smart agricultural technologies and practices in fragile and conflict affected settings a review and meta analysis |
| topic | climate change fragility agriculture technology adoption determinant |
| url | https://hdl.handle.net/10568/169857 |
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