Publication:
Economic Boom or Ecologic Doom?: Using Spatial Analysis to Reconcile Road Development with Forest Conservation

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dc.contributor.authorBarra, Alvaro Federico
dc.contributor.authorBurnouf, Mathilde
dc.contributor.authorDamania, Richard
dc.contributor.authorRuss, Jason
dc.date.accessioned2016-05-20T22:24:15Z
dc.date.available2016-05-20T22:24:15Z
dc.date.issued2016-05-20
dc.description.abstractThe 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.en
dc.identifier.doi10.1596/978-1-4648-0810-4
dc.identifier.isbn978-1-4648-0810-4
dc.identifier.urihttps://hdl.handle.net/10986/24316
dc.languageEnglish
dc.language.isoen_US
dc.publisherWashington, DC: World Bank
dc.relation.ispartofseriesDirections in Development--Infrastructure;
dc.rightsCC BY 3.0 IGO
dc.rights.holderWorld Bank
dc.rights.urihttp://creativecommons.org/licenses/by/3.0/igo/
dc.subjectECONOMICS
dc.subjectECONOMETRICS
dc.subjectRIVER TRANSPORT
dc.subjectTRANSPORT COSTS
dc.subjectTRANSPORT INFRASTRUCTURE
dc.subjectDEVELOPMENT
dc.subjectPORTS
dc.subjectAGRICULTURE
dc.subjectDEFORESTATION
dc.subjectBIODIVERSITY
dc.subjectSPATIAL ANALYSIS
dc.subjectVIRUNGA
dc.titleEconomic Boom or Ecologic Doom?en
dc.title.subtitleUsing Spatial Analysis to Reconcile Road Development with Forest Conservationen
dc.typeBooken
dc.typeLivrefr
dc.typeLibroes
dspace.entity.typePublication
okr.crossref.titleEconomic Boom or Ecologic Doom?: Using Spatial Analysis to Reconcile Road Development with Forest Conservation
okr.date.disclosure2016-05-20
okr.date.doiregistration2025-04-15T11:54:40.170487Z
okr.doctypePublications & Research
okr.doctypePublications & Research::Publication
okr.identifier.doi10.1596/978-1-4648-0810-4
okr.identifier.doihttps://doi.org/10.1596/978-1-4648-0810-4
okr.identifier.internaldocumentum210810
okr.identifier.report105983
okr.importedtrue
okr.language.supporteden
okr.pdfurlsftp://107.21.26.223:22//sftp/production/okr_delivery/1749116/9781464808104.pdfen
okr.region.administrativeAfrica
okr.region.countryCongo, Democratic Republic of
okr.topicEnvironment::Biodiversity
okr.topicTransport::Transport Economics & Policy Planning
okr.topicEnvironment::Forests and Forestry
okr.topicInfrastructure Economics and Finance::Infrastructure Economics
okr.topicRural Development::Rural Roads & Transport
okr.unitGEN01
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