Economic Boom or Ecologic Doom? : Using Spatial Analysis to Reconcile Road Development with Forest Conservation
The natural endowment of the Democrat Republic of Congo, 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 amongst the sparsest and most dila...
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| Format: | Book |
| Language: | English en_US |
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Washington, DC: World Bank
2016
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| Online Access: | http://hdl.handle.net/10986/24316 |
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okr-10986-243162021-04-23T14:04:21Z Economic Boom or Ecologic Doom? : Using Spatial Analysis to Reconcile Road Development with Forest Conservation Barra, Alvaro Federico Burnouf, Mathilde Damania, Richard Russ, Jason ECONOMICS ECONOMETRICS RIVER TRANSPORT TRANSPORT COSTS TRANSPORT INFRASTRUCTURE DEVELOPMENT PORTS AGRICULTURE DEFORESTATION BIODIVERSITY SPATIAL ANALYSIS VIRUNGA The natural endowment of the Democrat Republic of Congo, 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 amongst the sparsest and most dilapidated in the world, and this lack of infrastructure is likely a significant constraint to growth. This work 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 – spatial (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 is used to estimate the effects of roads on forest cover, and the resulting biodiversity that would be at risk from local deforestation. Next the two spatial estimates are combined to simulate the effects of different policies. Finally this provides a series of maps that identify regions where there are large trade-offs between economic and ecological goals. Overall the results suggests 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 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. This report provides the data and easily comprehensible maps for such an exercise. 2016-05-20T22:24:15Z 2016-05-20T22:24:15Z 2016-05-20 Book 978-1-4648-0810-4 http://hdl.handle.net/10986/24316 English en_US Directions in Development--Infrastructure; CC BY 3.0 IGO http://creativecommons.org/licenses/by/3.0/igo/ World Bank Washington, DC: World Bank Publications & Research Publications & Research :: Publication Africa Congo, Democratic Republic of |
| repository_type |
Digital Repository |
| institution_category |
Foreign Institution |
| institution |
Digital Repositories |
| building |
World Bank Open Knowledge Repository |
| collection |
World Bank |
| language |
English en_US |
| topic |
ECONOMICS ECONOMETRICS RIVER TRANSPORT TRANSPORT COSTS TRANSPORT INFRASTRUCTURE DEVELOPMENT PORTS AGRICULTURE DEFORESTATION BIODIVERSITY SPATIAL ANALYSIS VIRUNGA |
| spellingShingle |
ECONOMICS ECONOMETRICS RIVER TRANSPORT TRANSPORT COSTS TRANSPORT INFRASTRUCTURE DEVELOPMENT PORTS AGRICULTURE DEFORESTATION BIODIVERSITY SPATIAL ANALYSIS VIRUNGA Barra, Alvaro Federico Burnouf, Mathilde Damania, Richard Russ, Jason Economic Boom or Ecologic Doom? : Using Spatial Analysis to Reconcile Road Development with Forest Conservation |
| geographic_facet |
Africa Congo, Democratic Republic of |
| relation |
Directions in Development--Infrastructure; |
| description |
The natural endowment of the Democrat Republic of Congo, 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 amongst the sparsest and most dilapidated in the world, and this lack of infrastructure is likely a significant constraint to growth. This work 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 – spatial (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 is used to estimate the effects of roads on forest cover, and the resulting biodiversity that would be at risk from local deforestation. Next the two spatial estimates are combined to simulate the effects of different policies. Finally this provides a series of maps that identify regions where there are large trade-offs between economic and ecological goals.
Overall the results suggests 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 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. This report provides the data and easily comprehensible maps for such an exercise. |
| format |
Book |
| author |
Barra, Alvaro Federico Burnouf, Mathilde Damania, Richard Russ, Jason |
| author_facet |
Barra, Alvaro Federico Burnouf, Mathilde Damania, Richard Russ, Jason |
| author_sort |
Barra, Alvaro Federico |
| title |
Economic Boom or Ecologic Doom? : Using Spatial Analysis to Reconcile Road Development with Forest Conservation |
| title_short |
Economic Boom or Ecologic Doom? : Using Spatial Analysis to Reconcile Road Development with Forest Conservation |
| title_full |
Economic Boom or Ecologic Doom? : Using Spatial Analysis to Reconcile Road Development with Forest Conservation |
| title_fullStr |
Economic Boom or Ecologic Doom? : Using Spatial Analysis to Reconcile Road Development with Forest Conservation |
| title_full_unstemmed |
Economic Boom or Ecologic Doom? : Using Spatial Analysis to Reconcile Road Development with Forest Conservation |
| title_sort |
economic boom or ecologic doom? : using spatial analysis to reconcile road development with forest conservation |
| publisher |
Washington, DC: World Bank |
| publishDate |
2016 |
| url |
http://hdl.handle.net/10986/24316 |
| _version_ |
1764456476172091392 |