| Sumario: | The Scaling up experiential learning tools for sustainable water governance project aims to enhance the capacity of Indian communities to sustainably manage water resources. The intervention combined collective action games, participatory planning tools, and community debriefings to promote behavioral shifts toward sustainable groundwater and surface water management. These tools are designed to support informed decision-making, foster collective action, and strengthen governance of water as a common resource.
The project included a mixed-methods impact evaluation. The study took place in 4 districts across 3 Indian states: Chittoor and Anantpur (Andhra Pradesh), Bhilwara (Rajasthan), and Chikbalapur (Karnataka). Data collection took place over two rounds. The baseline survey was conducted between October 2021 and May 2022, followed by the intervention. The endline survey was implemented from January to June 2023. The data available here are from both survey rounds, which included individual surveys, focus group discussions (FGDs), and key informant interviews (KIIs) across treatment and control sites, with baseline and endline results included in the same datasets.
Within each survey type, multiple datasets are available and are organized according to the structure of the corresponding survey modules. Some datasets are at the individual or household-member level, for example roster datasets that include information on all household members, not just the primary respondent. Others, such as the crop and water modules, are organized at the level of specific activities or resources, capturing details on each crop grown or water source used within a household. All datasets include a variable "unique_ID" which relates to the "habitation," (a sub-village administrative division) where that obervation was collected, and a "TreatmentControl" variable which denotes whether or not that observation belonged to the treated group or the control group (note: treatment is assigned at the habitation level). Additionally, the individual surveys include an "individual_id" variable, corresponding to the individual respondent.
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