Better use of gender-disaggregated data will improve climate-smart agriculture programs
The Climate-smart agriculture (CSA) framework aims to: sustainably improve agricultural productivity and enhance food security, increase farmers’ resilience and adaptation to climate change, and reduce and/or remove greenhouse gas emissions where possible. However, it does not include an objective a...
| Main Authors: | , |
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| Format: | Brief |
| Language: | Inglés |
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CGIAR GENDER Impact Platform
2023
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| Online Access: | https://hdl.handle.net/10568/135686 |
| _version_ | 1855539393407746048 |
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| author | Deering, Karl Wright, Peter |
| author_browse | Deering, Karl Wright, Peter |
| author_facet | Deering, Karl Wright, Peter |
| author_sort | Deering, Karl |
| collection | Repository of Agricultural Research Outputs (CGSpace) |
| description | The Climate-smart agriculture (CSA) framework aims to: sustainably improve agricultural productivity and enhance food security, increase farmers’ resilience and adaptation to climate change, and reduce and/or remove greenhouse gas emissions where possible. However, it does not include an objective about gender equality, social inclusion, or other equity issues. For instance, the seminal 2010 FAO paper on CSA did not address gender, gender equality, or equity—and methods or metrics to address these issues were not proposed. |
| format | Brief |
| id | CGSpace135686 |
| institution | CGIAR Consortium |
| language | Inglés |
| publishDate | 2023 |
| publishDateRange | 2023 |
| publishDateSort | 2023 |
| publisher | CGIAR GENDER Impact Platform |
| publisherStr | CGIAR GENDER Impact Platform |
| record_format | dspace |
| spelling | CGSpace1356862025-08-15T09:36:36Z Better use of gender-disaggregated data will improve climate-smart agriculture programs Deering, Karl Wright, Peter climate-smart agriculture gender analysis data analysis gender equality The Climate-smart agriculture (CSA) framework aims to: sustainably improve agricultural productivity and enhance food security, increase farmers’ resilience and adaptation to climate change, and reduce and/or remove greenhouse gas emissions where possible. However, it does not include an objective about gender equality, social inclusion, or other equity issues. For instance, the seminal 2010 FAO paper on CSA did not address gender, gender equality, or equity—and methods or metrics to address these issues were not proposed. 2023-12-06 2023-12-20T20:25:21Z 2023-12-20T20:25:21Z Brief https://hdl.handle.net/10568/135686 en Open Access application/pdf CGIAR GENDER Impact Platform Deering, Karl and Peter Wright (2023). Better use of gender-disaggregated data will improve climate-smart agriculture programs. CGIAR GENDER Impact Platform Evidence Explainer. Nairobi, Kenya: CGIAR GENDER Impact Platform. |
| spellingShingle | climate-smart agriculture gender analysis data analysis gender equality Deering, Karl Wright, Peter Better use of gender-disaggregated data will improve climate-smart agriculture programs |
| title | Better use of gender-disaggregated data will improve climate-smart agriculture programs |
| title_full | Better use of gender-disaggregated data will improve climate-smart agriculture programs |
| title_fullStr | Better use of gender-disaggregated data will improve climate-smart agriculture programs |
| title_full_unstemmed | Better use of gender-disaggregated data will improve climate-smart agriculture programs |
| title_short | Better use of gender-disaggregated data will improve climate-smart agriculture programs |
| title_sort | better use of gender disaggregated data will improve climate smart agriculture programs |
| topic | climate-smart agriculture gender analysis data analysis gender equality |
| url | https://hdl.handle.net/10568/135686 |
| work_keys_str_mv | AT deeringkarl betteruseofgenderdisaggregateddatawillimproveclimatesmartagricultureprograms AT wrightpeter betteruseofgenderdisaggregateddatawillimproveclimatesmartagricultureprograms |