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Building the evidence base for REDD+: Study design and methods for evaluating the impacts of conservation interventions on local well-being

机译:为REDD +建立证据基础:评估保护性干预措施对当地福祉影响的研究设计和方法

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摘要

Climate change mitigation in developing countries is increasingly expected to generate co-benefits that help meet sustainable development goals. This has been an expectation and a hotly contested issue in REDD+ (reducing emissions from deforestation and forest degradation) since its inception. While the core purpose of REDD+ is to reduce carbon emissions, its legitimacy and success also depend on its impacts on local well-being. To effectively safeguard against negative impacts, we need to know whether and which well-being outcomes can be attributed to REDD+. Yet, distinguishing the effects of choosing particular areas for REDD+ from the effects of the interventions themselves remains a challenge. The Global Comparative Study (GCS) on REDD+ employed a quasi-experimental before-after-control-intervention (BACI) study design to address this challenge and evaluate the impacts of 16 REDD+ pilots across the tropics. We find that the GCS approach allows identification of control groups that represent the counterfactual, thereby permitting attribution of outcomes to REDD+. The GCS experience belies many of the common critiques of the BACI design, especially concerns about collecting baseline data on control groups. Our findings encourage and validate the early planning and up-front investments required to evaluate the local impacts of global climate change mitigation efforts with confidence. The stakes are high, both for the global environment and for local populations directly affected by those efforts. The standards for evidence should be concomitantly high.
机译:人们日益期望减轻发展中国家的气候变化将产生有助于实现可持续发展目标的共同利益。自推出以来,这一直是REDD +(减少毁林和森林退化造成的排放)的期望和备受争议的问题。 REDD +的核心目的是减少碳排放,但其合法性和成功也取决于其对当地福祉的影响。为了有效防止负面影响,我们需要知道REDD +是否以及哪些幸福感可以归因于REDD +。然而,要区分为REDD +选择特定区域的效果与干预措施本身的效果,仍然是一个挑战。针对REDD +的全球比较研究(GCS)采用了一种准实验性的“控制后干预后”研究设计,以应对这一挑战并评估热带地区16位REDD +飞行员的影响。我们发现,GCS方法可以识别代表反事实的对照组,从而将结果归因于REDD +。 GCS的经验掩盖了BACI设计的许多常见批评,尤其是有关收集对照组基线数据的担忧。我们的发现鼓励并验证了有信心评估全球减缓气候变化努力对当地的影响所需的早期规划和前期投资。对于全球环境和直接受这些努力影响的当地居民而言,风险都很高。相应的证据标准应该很高。

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