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Article
A Top-Down Approach to Estimating Spatially Heterogeneous Impacts of Development Aid on Vegetative Carbon Sequestration
Sustainability
  • Daniel Runfola, William & Mary
  • Ariel BenYishay, William & Mary
  • Jeffery Tanner
  • Graeme Buchanan
  • Jyoteshwar Nagol
  • Matthias Leu, William & Mary
  • Seth Goodman, William & Mary
  • Rachel Trichler, William & Mary
  • Robert Marty, William & Mary
Document Type
Article
Department/Program
Applied Science
Department
Biology
Pub Date
3-1-2018
Creative Commons License
Creative Commons Attribution 4.0 International
Abstract

Since 1945, over $4.9 trillion dollars of international aid has been allocated to developing countries. To date, there have been no estimates of the regional impact of this aid on the carbon cycle. We apply a geographically explicit matching method to estimate the relative impact of large-scale World Bank projects implemented between 2000 and 2010 on sequestered carbon, using a novel and publicly available data set of 61,243 World Bank project locations. Considering only carbon sequestered due to fluctuations in vegetative biomass caused by World Bank projects, we illustrate the relative impact of World Bank projects on carbon sequestration. We use this information to illustrate the geographic variation in the apparent effectiveness of environmental safeguards implemented by the World Bank. We argue that sub-national data can help to identify geographically heterogeneous impact effects, and highlight many remaining methodological challenges.

DOI
https://doi.org/10.3390/su9030409
Citation Information
Daniel Runfola, Ariel BenYishay, Jeffery Tanner, Graeme Buchanan, et al.. "A Top-Down Approach to Estimating Spatially Heterogeneous Impacts of Development Aid on Vegetative Carbon Sequestration" Sustainability Vol. 9 Iss. 3 (2018)
Available at: http://works.bepress.com/seth-goodman/2/