Exploring the Socioeconomic Co-benefits of Global Environment Facility Projects in Uganda Using a Quasi-Experimental Geospatial Interpolation (QGI) Approach

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 im...

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Main Authors: Daniel Runfola, Geeta Batra, Anupam Anand, Audrey Way, Seth Goodman
Format: Article
Language:English
Published: MDPI AG 2020-04-01
Series:Sustainability
Subjects:
Online Access:https://www.mdpi.com/2071-1050/12/8/3225
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spelling doaj-09ff7ec824304851a25b40ce1c21ba822020-11-25T03:01:38ZengMDPI AGSustainability2071-10502020-04-01123225322510.3390/su12083225Exploring the Socioeconomic Co-benefits of Global Environment Facility Projects in Uganda Using a Quasi-Experimental Geospatial Interpolation (QGI) ApproachDaniel Runfola0Geeta Batra1Anupam Anand2Audrey Way3Seth Goodman4Department of Applied Science, William & Mary, 540 Landrum Drive, Williamsburg, VA 23185, USAIndependent Evaluation Office, Global Environment Facility, 1899 Pennsylvania Ave NW, Washington, DC 20006, USAIndependent Evaluation Office, Global Environment Facility, 1899 Pennsylvania Ave NW, Washington, DC 20006, USAGeospatial Evaluation and Observation Lab, William & Mary, 540 Landrum Drive, Williamsburg, VA 23185, USADepartment of Applied Science, William & Mary, 540 Landrum Drive, Williamsburg, VA 23185, USASince 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.https://www.mdpi.com/2071-1050/12/8/3225co-benefitssustainable developmentcausal methodsgeospatial impact evaluationquasi-experimental designinterpolation
collection DOAJ
language English
format Article
sources DOAJ
author Daniel Runfola
Geeta Batra
Anupam Anand
Audrey Way
Seth Goodman
spellingShingle Daniel Runfola
Geeta Batra
Anupam Anand
Audrey Way
Seth Goodman
Exploring the Socioeconomic Co-benefits of Global Environment Facility Projects in Uganda Using a Quasi-Experimental Geospatial Interpolation (QGI) Approach
Sustainability
co-benefits
sustainable development
causal methods
geospatial impact evaluation
quasi-experimental design
interpolation
author_facet Daniel Runfola
Geeta Batra
Anupam Anand
Audrey Way
Seth Goodman
author_sort Daniel Runfola
title Exploring the Socioeconomic Co-benefits of Global Environment Facility Projects in Uganda Using a Quasi-Experimental Geospatial Interpolation (QGI) Approach
title_short Exploring the Socioeconomic Co-benefits of Global Environment Facility Projects in Uganda Using a Quasi-Experimental Geospatial Interpolation (QGI) Approach
title_full Exploring the Socioeconomic Co-benefits of Global Environment Facility Projects in Uganda Using a Quasi-Experimental Geospatial Interpolation (QGI) Approach
title_fullStr Exploring the Socioeconomic Co-benefits of Global Environment Facility Projects in Uganda Using a Quasi-Experimental Geospatial Interpolation (QGI) Approach
title_full_unstemmed Exploring the Socioeconomic Co-benefits of Global Environment Facility Projects in Uganda Using a Quasi-Experimental Geospatial Interpolation (QGI) Approach
title_sort exploring the socioeconomic co-benefits of global environment facility projects in uganda using a quasi-experimental geospatial interpolation (qgi) approach
publisher MDPI AG
series Sustainability
issn 2071-1050
publishDate 2020-04-01
description 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.
topic co-benefits
sustainable development
causal methods
geospatial impact evaluation
quasi-experimental design
interpolation
url https://www.mdpi.com/2071-1050/12/8/3225
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