Time-use analytics: An improved way of understanding gendered agriculture-nutrition pathways
There is a resurgence of interest in time-use research driven, inter alia, by the desire to understand if development interventions, especially when targeted to women, lead to time constraints by increasing work burdens. This has become a primary concern in agriculture-nutrition research. But are ti...
| Main Authors: | , , , , , |
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| Format: | Journal Article |
| Language: | Inglés |
| Published: |
Routledge
2019
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| Subjects: | |
| Online Access: | https://hdl.handle.net/10568/145986 |
| _version_ | 1855532978195660800 |
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| author | Stevano, Sara Kadiyala, Suneetha Johnston, Deborah Malapit, Hazel J. Hull, Elizabeth Kalamatianou, Sofia |
| author_browse | Hull, Elizabeth Johnston, Deborah Kadiyala, Suneetha Kalamatianou, Sofia Malapit, Hazel J. Stevano, Sara |
| author_facet | Stevano, Sara Kadiyala, Suneetha Johnston, Deborah Malapit, Hazel J. Hull, Elizabeth Kalamatianou, Sofia |
| author_sort | Stevano, Sara |
| collection | Repository of Agricultural Research Outputs (CGSpace) |
| description | There is a resurgence of interest in time-use research driven, inter alia, by the desire to understand if development interventions, especially when targeted to women, lead to time constraints by increasing work burdens. This has become a primary concern in agriculture-nutrition research. But are time-use data useful to explore agriculture-nutrition pathways? This study develops a conceptual framework of the micro-level linkages between agriculture, gendered time use, and nutrition and analyzes how time use has been conceptualized, operationalized, and interpreted in agriculture-nutrition literature on low- and middle-income countries (LMICs). The paper argues that better metrics, but also conceptualizations and analytics of time use, are needed to understand gendered trade-offs in agriculture-nutrition pathways. In particular, the potential unintended consequences can be grasped only if the analysis of time use shifts from being descriptive to a more theoretical and analytical understanding of time constraints, their trade-offs, and resulting changes in activity. |
| format | Journal Article |
| id | CGSpace145986 |
| institution | CGIAR Consortium |
| language | Inglés |
| publishDate | 2019 |
| publishDateRange | 2019 |
| publishDateSort | 2019 |
| publisher | Routledge |
| publisherStr | Routledge |
| record_format | dspace |
| spelling | CGSpace1459862024-10-25T08:00:05Z Time-use analytics: An improved way of understanding gendered agriculture-nutrition pathways Stevano, Sara Kadiyala, Suneetha Johnston, Deborah Malapit, Hazel J. Hull, Elizabeth Kalamatianou, Sofia development gender agriculture nutrition gender analysis methodology There is a resurgence of interest in time-use research driven, inter alia, by the desire to understand if development interventions, especially when targeted to women, lead to time constraints by increasing work burdens. This has become a primary concern in agriculture-nutrition research. But are time-use data useful to explore agriculture-nutrition pathways? This study develops a conceptual framework of the micro-level linkages between agriculture, gendered time use, and nutrition and analyzes how time use has been conceptualized, operationalized, and interpreted in agriculture-nutrition literature on low- and middle-income countries (LMICs). The paper argues that better metrics, but also conceptualizations and analytics of time use, are needed to understand gendered trade-offs in agriculture-nutrition pathways. In particular, the potential unintended consequences can be grasped only if the analysis of time use shifts from being descriptive to a more theoretical and analytical understanding of time constraints, their trade-offs, and resulting changes in activity. 2019-02-06 2024-06-21T09:05:29Z 2024-06-21T09:05:29Z Journal Article https://hdl.handle.net/10568/145986 en Open Access Routledge Stevano, Sara; Kadiyala, Suneetha; Johnston, Deborah; Malapit, Hazel J.; Hull, Elizabeth; and Kalamatianou, Sofia. 2019. Time-use analytics: An improved way of understanding gendered agriculture-nutrition pathways. Feminist Economics 25(3): 1-22. https://doi.org/10.1080/13545701.2018.1542155 |
| spellingShingle | development gender agriculture nutrition gender analysis methodology Stevano, Sara Kadiyala, Suneetha Johnston, Deborah Malapit, Hazel J. Hull, Elizabeth Kalamatianou, Sofia Time-use analytics: An improved way of understanding gendered agriculture-nutrition pathways |
| title | Time-use analytics: An improved way of understanding gendered agriculture-nutrition pathways |
| title_full | Time-use analytics: An improved way of understanding gendered agriculture-nutrition pathways |
| title_fullStr | Time-use analytics: An improved way of understanding gendered agriculture-nutrition pathways |
| title_full_unstemmed | Time-use analytics: An improved way of understanding gendered agriculture-nutrition pathways |
| title_short | Time-use analytics: An improved way of understanding gendered agriculture-nutrition pathways |
| title_sort | time use analytics an improved way of understanding gendered agriculture nutrition pathways |
| topic | development gender agriculture nutrition gender analysis methodology |
| url | https://hdl.handle.net/10568/145986 |
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