Lessons Learned from Implementing the CAADP Biennial Review Process Under the Malabo Declaration
The Biennial Review (BR), launched under the 2014 Malabo Declaration, serves as the African Union's (AU) primary mutual accountability tool for tracking Member States' progress in implementing the Comprehensive Africa Agriculture Development Programme (CAADP). This brief, drawing lessons from four B...
| Autores principales: | , , |
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| Formato: | Brief |
| Lenguaje: | Inglés |
| Publicado: |
AKADEMIYA2063
2025
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| Materias: | |
| Acceso en línea: | https://hdl.handle.net/10568/175608 |
| _version_ | 1855516689296261120 |
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| author | Makombe, T. Ulimwengu, John M. Matchaya, Greenwell C. |
| author_browse | Makombe, T. Matchaya, Greenwell C. Ulimwengu, John M. |
| author_facet | Makombe, T. Ulimwengu, John M. Matchaya, Greenwell C. |
| author_sort | Makombe, T. |
| collection | Repository of Agricultural Research Outputs (CGSpace) |
| description | The Biennial Review (BR), launched under the 2014 Malabo Declaration, serves as the African Union's (AU) primary mutual accountability tool for tracking Member States' progress in implementing the Comprehensive Africa Agriculture Development Programme (CAADP). This brief, drawing lessons from four BR cycles, aims to inform the next phase of BRs in preparation for the domestication and implementation of the 2025 Kampala CAADP Declaration. While the BR has prompted policy and programmatic changes in several countries, its full impact is hindered by persistent challenges such as underfunding, weak monitoring and evaluation (M&E) capacities, and data quality issues. Despite these hurdles, innovations like the eBR and national data clusters have led to improvements in data quality and reporting rates.
Still further improvements in data systems, capacities, and stakeholder engagement are urgently needed to strengthen the Biennial Review (BR) process. Key recommendations include adopting coherent data governance policies, promoting BR awareness and data utilization, refining the BR scorecard methodology, expanding data clusters to more countries, strengthening M&E capacities, ensuring inclusive BR validation, and integrating the BR database with M&E systems at both national and regional levels. Sustained political leadership, technical support, and domestic funding are critical to institutionalizing a robust, timely, high-quality, and impactful BR process that supports evidence-based decision-making and accelerates progress toward achieving the CAADP agrifood system transformation goals under the Kampala Declaration. |
| format | Brief |
| id | CGSpace175608 |
| institution | CGIAR Consortium |
| language | Inglés |
| publishDate | 2025 |
| publishDateRange | 2025 |
| publishDateSort | 2025 |
| publisher | AKADEMIYA2063 |
| publisherStr | AKADEMIYA2063 |
| record_format | dspace |
| spelling | CGSpace1756082025-11-07T15:22:30Z Lessons Learned from Implementing the CAADP Biennial Review Process Under the Malabo Declaration Makombe, T. Ulimwengu, John M. Matchaya, Greenwell C. agricultural development data quality stakeholders monitoring and evaluation agrifood systems The Biennial Review (BR), launched under the 2014 Malabo Declaration, serves as the African Union's (AU) primary mutual accountability tool for tracking Member States' progress in implementing the Comprehensive Africa Agriculture Development Programme (CAADP). This brief, drawing lessons from four BR cycles, aims to inform the next phase of BRs in preparation for the domestication and implementation of the 2025 Kampala CAADP Declaration. While the BR has prompted policy and programmatic changes in several countries, its full impact is hindered by persistent challenges such as underfunding, weak monitoring and evaluation (M&E) capacities, and data quality issues. Despite these hurdles, innovations like the eBR and national data clusters have led to improvements in data quality and reporting rates. Still further improvements in data systems, capacities, and stakeholder engagement are urgently needed to strengthen the Biennial Review (BR) process. Key recommendations include adopting coherent data governance policies, promoting BR awareness and data utilization, refining the BR scorecard methodology, expanding data clusters to more countries, strengthening M&E capacities, ensuring inclusive BR validation, and integrating the BR database with M&E systems at both national and regional levels. Sustained political leadership, technical support, and domestic funding are critical to institutionalizing a robust, timely, high-quality, and impactful BR process that supports evidence-based decision-making and accelerates progress toward achieving the CAADP agrifood system transformation goals under the Kampala Declaration. 2025-07-01 2025-07-11T04:45:41Z 2025-07-11T04:45:41Z Brief https://hdl.handle.net/10568/175608 en Open Access AKADEMIYA2063 Makombe, T.; Ulimwengu, John M.; Matchaya, Greenwell. 2025. Lessons Learned from Implementing the CAADP Biennial Review Process Under the Malabo Declaration. Kigali, Rwanda: AKADEMIYA2063. 16p. (Kampala Policy Brief Series 04). doi: https://doi.org/10.54067/kpbs.04 |
| spellingShingle | agricultural development data quality stakeholders monitoring and evaluation agrifood systems Makombe, T. Ulimwengu, John M. Matchaya, Greenwell C. Lessons Learned from Implementing the CAADP Biennial Review Process Under the Malabo Declaration |
| title | Lessons Learned from Implementing the CAADP Biennial Review Process Under the Malabo Declaration |
| title_full | Lessons Learned from Implementing the CAADP Biennial Review Process Under the Malabo Declaration |
| title_fullStr | Lessons Learned from Implementing the CAADP Biennial Review Process Under the Malabo Declaration |
| title_full_unstemmed | Lessons Learned from Implementing the CAADP Biennial Review Process Under the Malabo Declaration |
| title_short | Lessons Learned from Implementing the CAADP Biennial Review Process Under the Malabo Declaration |
| title_sort | lessons learned from implementing the caadp biennial review process under the malabo declaration |
| topic | agricultural development data quality stakeholders monitoring and evaluation agrifood systems |
| url | https://hdl.handle.net/10568/175608 |
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