Collaborative Research Centre 228 B01: Invasive Futures. Household social and economic survey on aspirations, invasive futures, and gender: The social ecology of system shifts in savanna environments (Phase II-2023)

These datasets comprise information from 536 households in Baringo County, Kenya, collected through a tablet-based survey conducted between August and September 2023. The study revisited households surveyed in 2019 during the first wave of the project. The initial survey used a two-step sampling approach: village sampling across three wards (Marigat, Ilchamus, and Mochongoi) in Marigat sub-county, with 35 villages selected randomly using the probability proportional to size (PPS) method. Sampling was based on enumeration areas (villages) from the 2009 Kenya National Population and Housing Census, facilitated by the Kenya National Bureau of Statistics. In the second step, 14 to 17 households were randomly selected from each village using updated village-level household lists, totaling 530 households. The 2023 survey involved face-to-face interviews with household heads and/or their spouses using a structured questionnaire. Topics covered included socio-economic and institutional characteristics, assets, land use, aspirations, social networks, invasive species, shocks and coping strategies, and income and expenditure. Certain sections of the survey were administered to both the household head and their spouse (e.g., husband and wife). Additionally, a randomized controlled trial (RCT) was conducted as part of the study. The RCT featured a collective action video intervention as the primary treatment, with a real public goods game (PGG) experiment serving as one of the outcome measures. The RCT evaluates the effectiveness of a video-based social influence intervention, featuring role model villages, on enhancing cooperation. The data collection process was carried out by a team of 11 trained local enumerators. The datasets are available in both CSV and STATA (.dta) formats. Supporting documentation, including the questionnaire, a data dictionary, and a detailed codebook, is provided to facilitate data understanding and use.