2020
DOI: 10.3390/su12083225
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Exploring the Socioeconomic Co-benefits of Global Environment Facility Projects in Uganda Using a Quasi-Experimental Geospatial Interpolation (QGI) Approach

Abstract: Since 1992, the Global Environment Facility (GEF) has mobilized over $131 billion in funds to enable developing and transitioning countries to meet the objectives of international environmental conventions and agreements. While multiple studies and reports have sought to examine the environmental impact of these funds, relatively little work has examined the potential for socioeconomic co-benefits. Leveraging a novel database on the geographic location of GEF project interventions in Uganda, this paper explore… Show more

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Cited by 9 publications
(8 citation statements)
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References 37 publications
(49 reference statements)
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“…While it represents an improvement relative to model averaging, relatively little research has explored the utility of SIMEX approaches using functional model forms other than ordinary regression. Building on this work, a second avenue of literature has begun to explore how to mitigate bias that may be caused due to spatial spillover between control and treatment units, as well as the arbitrary selection of a distance away from treatments that are considered "treated" (Runfola et al 2020). This class of approach provides estimates of the distance-decay function of treatment effects, allowing policymakers to examine the geographic distance away from interventions that a treatment effect might be expected.…”
Section: Discussionmentioning
confidence: 99%
“…While it represents an improvement relative to model averaging, relatively little research has explored the utility of SIMEX approaches using functional model forms other than ordinary regression. Building on this work, a second avenue of literature has begun to explore how to mitigate bias that may be caused due to spatial spillover between control and treatment units, as well as the arbitrary selection of a distance away from treatments that are considered "treated" (Runfola et al 2020). This class of approach provides estimates of the distance-decay function of treatment effects, allowing policymakers to examine the geographic distance away from interventions that a treatment effect might be expected.…”
Section: Discussionmentioning
confidence: 99%
“…The GEF has a long history of providing support to improve the sustainability of forestry resources to increase environmental benefits and deliver socioeconomic co-benefits. This evaluation assessed the impacts of GEF-supported SFM interventions on biophysical and ecological variables and co-benefits measured in terms of socioeconomic indicators, and estimated monetary values of ecosystem services using the principle of natural capital accounting (Runfola et al, 2020). To examine the socioeconomic effects, the study used both a portfolio-wide approach (based on night light activity 3 ) and a recent case study from Uganda, which was the first attempt to combine geospatial data with other survey data.…”
Section: Assessing Socioeconomic Co-benefitsmentioning
confidence: 99%
“…It uses a propensitymatching approach to pair treated and controlled survey clusters based on covariates. Runfola et al (2020) provide more details on the QGI approach.…”
Section: Assessing Health Co-benefitsmentioning
confidence: 99%
“…All methodologies, both quantitative and qualitative, have their place, but the suitable methods should be selected based on the evaluation questions that need to be answered. In the area of environmental programmes and projects, geospatial tools have proven to be useful as they can be utilized to provide quantitative data and time series on factors, such as land use and land cover (Lech et al, 2018;Runfola et al, 2020).…”
Section: Integrating Human and Natural Systemsmentioning
confidence: 99%