Better use of gender-disaggregated data will improve climate-smart agriculture programs
| cg.authorship.types | Not CGIAR international institute | en |
| cg.contributor.affiliation | CARE, USA | en |
| cg.contributor.donor | CGIAR Trust Fund | en |
| cg.contributor.initiative | Gender Equality | |
| cg.creator.identifier | Karl Deering: 0000-0002-0229-4044 | en |
| cg.howPublished | Grey Literature | en |
| cg.place | Nairobi, Kenya | en |
| cg.subject.actionArea | Systems Transformation | |
| cg.subject.impactArea | Gender equality, youth and social inclusion | |
| cg.subject.impactPlatform | Gender | |
| dc.contributor.author | Deering, Karl | en |
| dc.contributor.author | Wright, P. | en |
| dc.date.accessioned | 2023-12-21T09:02:31Z | en |
| dc.date.available | 2023-12-21T09:02:31Z | en |
| dc.identifier.uri | https://hdl.handle.net/10568/135725 | |
| dc.title | Better use of gender-disaggregated data will improve climate-smart agriculture programs | en |
| dcterms.accessRights | Open Access | |
| dcterms.audience | CGIAR | en |
| dcterms.audience | Donors | en |
| dcterms.audience | Scientists | en |
| dcterms.available | 2023-12-06 | en |
| dcterms.bibliographicCitation | Deering, K. and Wright, P. 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. | en |
| dcterms.issued | 2023-12-06 | en |
| dcterms.language | en | |
| dcterms.license | CC-BY-4.0 | |
| dcterms.publisher | CGIAR GENDER Impact Platform | en |
| dcterms.subject | agriculture | en |
| dcterms.subject | food systems | en |
| dcterms.subject | gender | en |
| dcterms.subject | women | en |
| dcterms.subject | climate-smart agriculture | en |
| dcterms.type | Brief |