Amazon.com description: Product Description: The natural endowment of the Democratic Republic of Congo (DRC), in the form of land, minerals, and forests, is unparalleled. The right mix of policies has the potential to unleash incentives that could transform the economy. However, transport infrastructure in the DRC is among the sparsest and most dilapidated in the world, and this lack of infrastructure is likely a significant constraint to growth. Economic Boom or Ecologic Doom? Using Spatial Analysis to Reconcile Road Development with Forest Conservation considerably advances the information that is available to infrastructure planners, and provides methodologies that could be used to make more informed decisions to identify trade-offs between economic growth and environmental endangerment. The approach draws from the state of the art across a variety of disciplines geographic information system (GIS) analysis, spatial econometrics, economic theory, and conservation biology to create an approach that can guide the location and level of investments by estimating benefits and environmental costs at a highly disaggregated spatial scale. The analysis proceeds in four related phases that combine economic assessments with geospatial analysis. First, transport costs are estimated using GIS techniques. A variety of econometric procedures are then used to determine the economic effects of changing transport costs. Second, highly disaggregated spatial data are used to estimate the effects of roads on forest cover, and the resulting biodiversity that would be at risk from local deforestation. Third, the two spatial estimates are combined to simulate the effects of different policies. Fourth, this simulation results in a series of maps that identify regions where there are large trade-offs between economic and ecological goals. Overall, the results suggest that the siting of infrastructure needs to consider impacts at the very outset of the planning process. This report presents both new data and new techniques that can be used to identify areas of opportunity, risk, and potential for Reducing Emissions from Deforestation and Forest Degradation (REDD+) financing. Such upstream planning has been rendered both feasible and cost effective with the availability of geo-referenced information on forest cover and economic data. Economic Boom or Ecologic Doom? provides the data and easily comprehensible maps for such an exercise.