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A guide to learning about livelihood impacts of REDD+ projects. Any views expressed in this paper are those of the authors. They do not necessarily represent the views of CIFOR, the authors' institutions or the financial sponsors of this paper. iii Contents Acknowledgements vi Executive summary vii Preface xi 1 The case for learning from REDD+ 1 1.1 Why do(More)
Quasi-experimental methods increasingly are used to evaluate the impacts of conservation interventions by generating credible estimates of counterfactual baselines. These methods generally require large samples for statistical comparisons, presenting a challenge for evaluating innovative policies implemented within a few pioneering jurisdictions. Single(More)
We would like to thank all donors who supported this research through their contributions to the CGIAR Fund. For a list of Fund donors please see: https://www.cgiarfund.org/FundDonors Any views expressed in this paper are those of the authors. They do not necessarily represent the views of CIFOR, the editors, the authors' institutions, the financial(More)
Payments for environmental services (PES) are often viewed as a way to simultaneously improve conservation outcomes and the wellbeing of rural households who receive the payments. However, evidence for such win-win outcomes has been elusive. We add to the growing literature on conservation program impacts by using primary household survey data to evaluate(More)
1 As the rate and scale of tropical forest exploitation has increased, governments and environmental organizations have shown an increasing interest in establishing and expanding national parks to protect biodiversity, provide recreation, and produce a variety of environmental services. About half of the world's 4500 parks and reserves are located in the(More)
Reducing emissions from deforestation and forest degradation (REDD+) is expected to generate co-benefits and safeguard the interests of people who live in the forested regions where emissions are reduced. Participatory measurement, reporting and verification (PMRV) is one way to ensure that the interests of local people are represented in REDD+. In order to(More)
In Table 2, the matched and unmatched samples and their values have been combined. Please see the correct Table 2 here. Copyright: © 2015 Arriagada et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original(More)