Ghana Upper East Region Groundwater Games for Resource Governance
Harvard Dataverse (Africa Rice Center, Bioversity International, CCAFS, CIAT, IFPRI, IRRI and WorldFish)
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Title |
Ghana Upper East Region Groundwater Games for Resource Governance
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Identifier |
https://doi.org/10.7910/DVN/UN84XS
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Creator |
International Food Policy Research Institute (IFPRI)
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Publisher |
Harvard Dataverse
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Description |
The study intervention included playing an irrigation groundwater governance game with multiple rounds and treatments in each village: one game with 5 men players and one game with 5 women players. Player choices and group outcomes (including water withdrawals and availability) for each round of the game were recorded and uploaded to SurveyCTO. A pre- and post-game survey of individual players immediately before and immediately after the game was conducted to gather data on characteristics of the players, their households and farms including current irrigation practices, individual mental models regarding groundwater resources and their management, and perceptions about levels of trust and cooperation between community members. The games and surveys were conducted in 15 treatment villages in 4 districts in the Upper East Region of Ghana. Our intervention sample consisted of 30 villages: 15 control and 15 treatment villages. |
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Subject |
Agricultural Sciences
Social Sciences game theory resource management irrigation groundwater governance community involvement GHANA WEST AFRICA AFRICA SOUTH OF SAHARA AFRICA |
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Language |
English
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Date |
2022
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Contributor |
IFPRI-KM
Ringler, Claudia (International Food Policy Research Institute (IFPRI)) ElDidi, Hagar (International Food Policy Research Institute (IFPRI)) Zhang, Wei (International Food Policy Research Institute (IFPRI)) Obuobie, Emmanuel (Water Research Institute, Ghana) Akuriba, Margaret (University for Development Studies, Ghana) Blackmore, Ivy (Independent Consultant) |
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Relation |
Ghana Keta Groundwater Games for Resource Governance
Ethiopia Groundwater Games for Resource Governance |
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Type |
sample survey data (SSD)
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