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Dataset for the Climate-Hotspots Gender Impact Assessment

Harvard Dataverse (Africa Rice Center, Bioversity International, CCAFS, CIAT, IFPRI, IRRI and WorldFish)

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Title Dataset for the Climate-Hotspots Gender Impact Assessment
 
Identifier https://doi.org/10.7910/DVN/IQXBDI
 
Creator Mudege, Netsayi
Kakwasha, Keagan
 
Publisher Harvard Dataverse
 
Description The Climate-Hotspots Gender Impact Assessment was carried out by the Friedensau Institute for Evaluation (FIFE) in Germany, acting on behalf of WorldFish. This impact evaluation examined the extent to which interventions implemented between 2018 and 2022 by WorldFish Zambia have impacted fish farmers in seven targeted districts across Luapula and Northern provinces in Zambia. The study employed a mixed-method design involving quantitative (survey questionnaire) and qualitative (key informant interviews and focus group discussions) approaches for data collection. Survey responses were collected from 322 households in the treatment districts and 178 households from the control districts. The study was financially supported by the CGIAR Gender Impact Platform. We wish to convey our deep appreciation to the farmers who graciously took part in this research. Without their generous cooperation, this study would not have been achievable. Their perspectives, experiences, and contributions played a pivotal role in shaping the study's findings and conclusions. We are profoundly thankful for their time, knowledge, and willingness to share their insights. In addition, we would like to acknowledge the WorldFish Monitoring, Evaluation, Learning and Impact Assessment team, particularly Mr. Keagan Kakwasha and Dr. Timothy Manyise, as well as the Project Leader, Dr. Netsayi Noris Mudege, for their invaluable support and facilitation of the data collection process, which was crucial to the successful execution of this research. We also extend our gratitude to Dr. Els Lecoutere, the senior scientist at the Gender Platform.” The authors also acknowledge the CGIAR Initiative on Aquatic Foods which aims to build the resilience of aquatic food systems and unlock their full potential by scaling research and innovations.
 
Subject Agricultural Sciences
Social Sciences
aquaculture
climate
zambia
adoption and impact assessment
 
Language English
 
Date 2023-05-30
 
Contributor WorldFish RDM Team
FISH CRP
 
Type Survey