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Primary Dataset on Farmers’ Adaptation Strategies to Climate Change and Sustainable Development Goals in Tanzania

dc.contributor.authorMagesa, Bahati Ally
dc.contributor.authorGeetha, Mohan
dc.contributor.authorMelts, Indrek
dc.contributor.authorMatsuda, Hirotaka
dc.contributor.authorPu, Jian
dc.contributor.authorFukushi, Kensuke
dc.date.accessioned2024-06-26T07:45:46Z
dc.date.available2024-06-26T07:45:46Z
dc.date.created2023
dc.date.issued2024
dc.description.abstractDataset Description. This dataset was the primary input for the publication: Magesa, B.A., Mohan, G., Melts, I., Matsuda, H., Pu, J., Fukushi, K. (2023) Interactions between Farmers’ Adaptation Strategies to Climate Change and Sustainable Development Goals in Tanzania, East Africa. Sustainability, 15(6), 4911. https://doi.org/10.3390/su15064911. The primary dataset, provided in SPSS format (.sav), is structured into cases and variables. Cases correspond to individual survey respondents, while variables represent the responses to survey questions. The data were collected from March to April 2022 across selected villages in Mwanga and Same Districts, Tanzania, East Africa. This comprehensive dataset was combined from different sources: • 200 household surveys; • 36 key informant interviews (KII); • 4 focus group discussions (FGD) The dataset includes detailed demographic information, agricultural practices, climate change adaptation strategies, and their impact on Sustainable Development Goals (SDGs), particularly focusing on indicators related to poverty reduction and food security. Quantitative analyses using network theory were conducted to explore the interactions between adaptation strategies and SDGs.eng
dc.description.abstractEthical Considerations. The study adhered to the principles of the Declaration of Helsinki and received approval from the Institutional Review Board (or Ethics Committee) of the United Nations University Institute for the Advanced Study of Sustainability on 23 September 2021.eng
dc.description.abstractFunding. This research was funded by the Japan Society for the Promotion of Science (KAKENHI grant number 17KT0073), the Estonian Research Council and the European Regional Development Fund (Mobilitas+ grant number MOBTP122) and the European Union’s Horizon 2020 research and innovation programme (grant number 862480).eng
dc.description.sponsorshipFunding. This research was funded by the Japan Society for the Promotion of Science (KAKENHI grant number 17KT0073), the Estonian Research Council and the European Regional Development Fund (Mobilitas+ grant number MOBTP122) and the European Union’s Horizon 2020 research and innovation programme (grant number 862480).eng
dc.identifier.citationMagesa, B. A., Geetha, M., Melts, I., Matsuda, H., Pu, J., & Fukushi, K. (2024). Primary Dataset on Farmers’ Adaptation Strategies to Climate Change and Sustainable Development Goals in Tanzania [Data set]. Estonian University of Life Sciences. https://doi.org/10.15159/DS.24.01eng
dc.identifier.urihttp://hdl.handle.net/10492/9418
dc.identifier.urihttps://doi.org/10.15159/ds.24.01
dc.publisherEstonian University of Life Scienceseng
dc.relationThis dataset was the primary input for the publication: Magesa, B.A., Mohan, G., Melts, I., Matsuda, H., Pu, J., Fukushi, K. (2023) Interactions between Farmers’ Adaptation Strategies to Climate Change and Sustainable Development Goals in Tanzania, East Africa. Sustainability, 15(6), 4911. https://doi.org/10.3390/su15064911.eng
dc.rightsAttribution 4.0 International (CC BY 4.0)eng
dc.rightsinfo:eu-repo/semantics/openAccesseng
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/eng
dc.subjectadaptation strategyeng
dc.subjectAfricaeng
dc.subjectagricultureeng
dc.subjectclimate changeeng
dc.subjectfocus group discussioneng
dc.subjecthousehold surveyeng
dc.subjectkey informant intervieweng
dc.subjectsustainable developmenteng
dc.subjectdatasetseng
dc.titlePrimary Dataset on Farmers’ Adaptation Strategies to Climate Change and Sustainable Development Goals in Tanzaniaeng
dc.typeDataseteng
dc.typeinfo:eu-repo/semantics/dataseteng

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Bahati et al 2023 - Questionnaire survey -.sav
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