Towards a core approach for cross-sectional farm household survey data collection: a tiered setup for quantifying key farm and livelihood indicators
report with contributions by : ILRI; ICRISAT ; Bioversity International; IFPRI ; CIAT; University of Naples; Evans School of Public Policy and Governance, University of Washington; CGIAR-ISPC; IRRI; Worldfish; KIT; Oregon State University; Wageningen University; CIMMYT; FAO; IFAD.
| Autor principal: | |
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| Formato: | Informe técnico |
| Lenguaje: | Inglés |
| Publicado: |
2019
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| Materias: | |
| Acceso en línea: | https://hdl.handle.net/10568/122548 |
| _version_ | 1855526604145426432 |
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| author | CGIAR Research Program on Wheat |
| author_browse | CGIAR Research Program on Wheat |
| author_facet | CGIAR Research Program on Wheat |
| author_sort | CGIAR Research Program on Wheat |
| collection | Repository of Agricultural Research Outputs (CGSpace) |
| description | report with contributions by : ILRI; ICRISAT ; Bioversity International; IFPRI ; CIAT; University of Naples; Evans School of Public Policy and Governance, University of Washington; CGIAR-ISPC; IRRI; Worldfish; KIT; Oregon State University; Wageningen University; CIMMYT; FAO; IFAD. |
| format | Informe técnico |
| id | CGSpace122548 |
| institution | CGIAR Consortium |
| language | Inglés |
| publishDate | 2019 |
| publishDateRange | 2019 |
| publishDateSort | 2019 |
| record_format | dspace |
| spelling | CGSpace1225482023-03-14T12:00:18Z Towards a core approach for cross-sectional farm household survey data collection: a tiered setup for quantifying key farm and livelihood indicators CGIAR Research Program on Wheat governance indicators development data collection rural development data systems cgiar agrifood systems collection fao report with contributions by : ILRI; ICRISAT ; Bioversity International; IFPRI ; CIAT; University of Naples; Evans School of Public Policy and Governance, University of Washington; CGIAR-ISPC; IRRI; Worldfish; KIT; Oregon State University; Wageningen University; CIMMYT; FAO; IFAD. 2019-12-31 2022-10-06T14:00:57Z 2022-10-06T14:00:57Z Report https://hdl.handle.net/10568/122548 en https://hdl.handle.net/10568/105714 Open Access application/pdf CGIAR Research Program on Wheat. 2019. Towards a core approach for cross-sectional farm household survey data collection: a tiered setup for quantifying key farm and livelihood indicators. Reported in Wheat Annual Report 2019. Innovations. |
| spellingShingle | governance indicators development data collection rural development data systems cgiar agrifood systems collection fao CGIAR Research Program on Wheat Towards a core approach for cross-sectional farm household survey data collection: a tiered setup for quantifying key farm and livelihood indicators |
| title | Towards a core approach for cross-sectional farm household survey data collection: a tiered setup for quantifying key farm and livelihood indicators |
| title_full | Towards a core approach for cross-sectional farm household survey data collection: a tiered setup for quantifying key farm and livelihood indicators |
| title_fullStr | Towards a core approach for cross-sectional farm household survey data collection: a tiered setup for quantifying key farm and livelihood indicators |
| title_full_unstemmed | Towards a core approach for cross-sectional farm household survey data collection: a tiered setup for quantifying key farm and livelihood indicators |
| title_short | Towards a core approach for cross-sectional farm household survey data collection: a tiered setup for quantifying key farm and livelihood indicators |
| title_sort | towards a core approach for cross sectional farm household survey data collection a tiered setup for quantifying key farm and livelihood indicators |
| topic | governance indicators development data collection rural development data systems cgiar agrifood systems collection fao |
| url | https://hdl.handle.net/10568/122548 |
| work_keys_str_mv | AT cgiarresearchprogramonwheat towardsacoreapproachforcrosssectionalfarmhouseholdsurveydatacollectionatieredsetupforquantifyingkeyfarmandlivelihoodindicators |