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 explores the impact of GEF projects on household assets in Uganda. It employs a new methodological approach, Quasi-experimental Geospatial Interpolation (QGI), which seeks to overcome many of the core biases and limitations of previous implementations of causal matching studies leveraging geospatial information. Findings suggest that Sustainable Forest Management (SFM) GEF projects with initial implementation dates prior to 2009 in Uganda had a positive, statistically significant impact of approximately $184.81 on the change in total household assets between 2009 and 2011. Leveraging QGI, we identify that (1) this effect was statistically significant at distances between 2 and 7 km away from GEF projects, (2) the effect was positive but not statistically significant at distances less than 2 km, and (3) there was insufficient evidence to establish the impact of projects beyond a distance of approximately 7 km.
Spread over the ocean regions of the Caribbean, the Pacific and Atlantic, the Indian Ocean, the Mediterranean, and the South China Sea, the small island developing states (SIDS) are a distinct group of developing countries often known for their rich biological diversity, oceans, tourism, and fisheries. The pressures on these and other natural resources is most immediate in the islands where the high vulnerability to the impacts of climate change, limited land and water resources, often unsustainable natural resource use, and other particular economic vulnerabilities are disrupting livelihoods. The COVID-19 pandemic has further exacerbated the SIDS economies and livelihoods. Over the past 25 years the Global Environment Facility (GEF) has supported interventions in SIDS through $578 million in financing, in critical areas such as biodiversity protection, climate resilience, and energy access through renewable energy. But how effective and sustainable have these interventions been? What factors influencing the sustainability of GEF interventions can provide insights for future project design and implementation? This chapter draws on findings from a recent country cluster evaluation on SIDS conducted by the Independent Evaluation Office (IEO) of the GEF. It presents the main environmental challenges in SIDS, the evidence on the relevance and effectiveness of GEF interventions in addressing these challenges, and the main risks to sustainability of outcomes. Important contextual factors that affect sustainability in SIDS include good policies and legal and regulatory frameworks, national ownership of projects, environmental awareness, institutional capacity, and strategic institutional partnerships. Project-related factors including good project design and adaptive project management, scaling-up and replication based on lessons learned, and a good exit strategy are also important for sustainability.
Remote sensing has long been valued as a data source for monitoring environmental indicators and detecting trends in ecosystem stress from anthropogenic causes such as deforestation, river dams and air and water pollution. More recently, remote sensing analyses have been applied to evaluate the impacts of environmental projects and programs on reducing environmental stresses. Such evaluation has focused primarily on the change in above-surface vegetation such as forests. This study uses remote sensing ocean color products to evaluate the impact on reducing marine pollution of the Global Environment Facility’s (GEF) portfolio of projects in the Yellow Sea Large Marine Ecosystem. Chlorophyll concentration was derived from satellite images over a time series from the 1990s, when GEF projects began, until the present. Results show a 50% increase in chlorophyll until 2011 followed by a 34% decrease until 2019, showing a potential delayed effect of pollution control efforts. The rich time series data is a major advantage to using geospatial analysis for evaluating the impacts of environmental interventions on marine pollution. However, one drawback to the method is that it provides insights into correlations but cannot attribute the results to any particular cause, such as GEF interventions.
Environmental interventions underpin the Sustainable Development Goals (SDGs) and the Rio Conventions. The SDGs are integrated and embody all three aspects of sustainable development—environmental, social, and economic—to capture the interlinkages among the three areas. The Rio Conventions—on biodiversity, climate change, and desertification, also intrinsically linked—operate in the same ecosystems and address interdependent issues, and represent a way of contributing to the SDGs. Assessing the results of environmental interventions and the related socioeconomic benefits is challenging due to their complexity, interlinkages, and often limited data. The COVID-19 crisis has also necessitated creativity to ensure that evaluation’s critical role continues during the crisis. Satellite and other geospatial information, combined with existing survey data, leverage open-source and readily available data to determine the impact of projects. Working with geospatial data helps maintain flexibility and can fill data gaps without designing new and often expensive data tools for every unique evaluation. Using data on interventions implemented by the Global Environment Facility in biodiversity, land degradation, and climate change, we present the application of geospatial approaches to evaluate the relevance, efficiency, and effectiveness of interventions in terms of their environmental outcomes and observable socioeconomic and health co-benefits.
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