A quasi-experimental study of impacts of Tanzania's wildlife management areas on rural livelihoods and wealth.

Autor: Bluwstein J; Department of Food and Resource Economics, University of Copenhagen, Rolighedsvej 25, 1958- Frederiksberg, Denmark., Homewood K; Department of Anthropology, University College London, 14 Taviton St, London WC1H 0BW, UK., Lund JF; Department of Food and Resource Economics, University of Copenhagen, Rolighedsvej 25, 1958- Frederiksberg, Denmark., Nielsen MR; Department of Food and Resource Economics, University of Copenhagen, Rolighedsvej 25, 1958- Frederiksberg, Denmark., Burgess N; UNEP-WCMC, Cambridge CB3 0DL, UK., Msuha M; Ngorongoro Conservation Area Authority, Community Development and Tourism, P.O. Box 1, Arusha, Tanzania., Olila J; Tanzania Natural Resource Forum, P.O. Box 15605, Arusha, Tanzania., Sankeni SS; Environment and Society Program, 233 UCB, University of Colorado, Boulder, USA., Millia SK; Ujamaa Community Resource Team (UCRT), P.O. Box 15111, Arusha, Tanzania., Laizer H; Department of Natural Sciences, Mbeya University of Science and Technology, PO Box 131, Mbeya, Tanzania., Elisante F; Department of Conservation Biology, School of Biological Sciences, University of Dodoma, P.O. Box 259, Dodoma, Tanzania., Keane A; School of GeoSciences, University of Edinburgh, EH9 3FF, Edinburgh, UK.
Jazyk: angličtina
Zdroj: Scientific data [Sci Data] 2018 Jul 03; Vol. 5, pp. 180087. Date of Electronic Publication: 2018 Jul 03.
DOI: 10.1038/sdata.2018.87
Abstrakt: Since the 2000s, Tanzania's natural resource management policy has emphasised Wildlife Management Areas (WMAs), designed to promote wildlife and biodiversity conservation, poverty alleviation and rural development. We carried out a quasi-experimental impact evaluation of social impacts of WMAs, collecting data from 24 villages participating in 6 different WMAs across two geographical regions, and 18 statistically matched control villages. Across these 42 villages, we collected participatory wealth ranking data for 13,578 households. Using this as our sampling frame, we conducted questionnaire surveys with a stratified sample of 1,924 household heads and 945 household heads' wives. All data were collected in 2014/15, with a subset of questions devoted to respondents' recall on conditions that existed in 2007, when first WMAs became operational. Questions addressed household demographics, land and livestock assets, resource use, income-generating activities and portfolios, participation in natural resource management decision-making, benefits and costs of conservation. Datasets permit research on livelihood and wealth trajectories, and social impacts, costs and benefits of conservation interventions in the context of community-based natural resource management.
Databáze: MEDLINE