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A Model of Amazon Deforestation, Trade and Labor Market Dynamics

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dc.contributor.authorPorcher, Charly
dc.contributor.authorHanusch, Marek
dc.date.accessioned2022-11-03T13:41:18Z
dc.date.available2022-11-03T13:41:18Z
dc.date.issued2022-11
dc.description.abstractThis paper develops a dynamic spatial equlibrium model of Amazon deforestation, accounting for trade and labor markets dynamics. It uses this model to study the impact of local sectoral shocks and policies on deforestation. Conditional on the assumptions on key parameters, the analysis suggests the following: 1) an increase in external commodity demand increases deforestation; 2) agricultural productivity gains within the Amazon region likely increase deforestation (but reduce deforestation in the rest of the world) 3) manufacturing productivity in urban centers in the Amazon region decreases deforestation, especially if manufacturing firms have short rural value chains and if complemented by investments in education and training and measures to attract skills; 4) reducing transport costs increases deforestation unless it sufficiently supports higher export competitiveness of urban production; and 5) industrial policy focused on raising urban productivity, especially in sectors with short rural value chains, can reduce deforestation. The paper then discusses how policies aimed at increasing local sectoral productivity in the Amazon region could complement other measures specifically aimed at protecting the forest. Among such measures are incentivizing governments to designate undesignated public forests, enforcing forest protection laws (command and control), incentivizing afforestation, and creating alternative livelihoods for farmers in rural and urban areas.en
dc.identifierhttp://documents.worldbank.org/curated/en/099329011022242501/IDU0c70e2b6904bc5044f00ab57083ff92196da8
dc.identifier.doi10.1596/1813-9450-10163
dc.identifier.urihttps://hdl.handle.net/10986/38254
dc.languageEnglish
dc.language.isoen
dc.publisherWorld Bank, Washington, DC
dc.relation.ispartofseriesPolicy Research Working Papers;10163
dc.rightsCC BY 3.0 IGO
dc.rights.holderWorld Bank
dc.rights.urihttp://creativecommons.org/licenses/by/3.0/igo
dc.subjectMACROECONOMICS AND GROWTH
dc.subjectAMAZON DEFORESTATION
dc.subjectSKILLS TRAINING
dc.subjectMANUFACTURING AND ENVIRONMENTAL SUSTAINABILITY
dc.subjectSTRUCTURAL POLICY AND REFORM
dc.subjectGREEN GROWTH
dc.subjectENVIRONMENTAL SUSTAINABILTY
dc.subjectCLIMATE CHANGE MITIGATION
dc.subjectSPACIAL EQUALIBRIUM MODEL OF DEFORESTATION
dc.titleA Model of Amazon Deforestation, Trade and Labor Market Dynamicsen
dc.typeWorking Paperen
dc.typeDocument de travailfr
dc.typeDocumento de trabajoes
dspace.entity.typePublication
okr.crossref.titleA Model of Amazon Deforestation, Trade and Labor Market Dynamics
okr.date.disclosure2022-11-02
okr.date.doiregistration2025-04-10T11:33:01.985598Z
okr.date.lastmodified2022-11-02T00:00:00Zen
okr.doctypePolicy Research Working Paper
okr.doctypePublications & Research
okr.docurlhttp://documents.worldbank.org/curated/en/099329011022242501/IDU0c70e2b6904bc5044f00ab57083ff92196da8
okr.guid099329011022242501
okr.identifier.doi10.1596/1813-9450-10163
okr.identifier.externaldocumentumIDU-c70e2b69-4bc5-44f0-ab57-83ff92196da8
okr.identifier.internaldocumentum33930384
okr.identifier.reportWPS10163
okr.importedtrueen
okr.language.supporteden
okr.pdfurlhttp://documents.worldbank.org/curated/en/099329011022242501/pdf/IDU0c70e2b6904bc5044f00ab57083ff92196da8.pdfen
okr.region.countryBrazil
okr.topicEnvironment::Sustainable Land Management
okr.topicRural Development::Sustainable Land and Crop Management
okr.topicEnvironment::Adaptation to Climate Change
okr.topicEnvironment::Climate Change Mitigation and Green House Gases
okr.topicMacroeconomics and Economic Growth::Climate Change Economics
okr.unitEFI-LCR-MTI-MacroFiscal (ELCMU)
relation.isAuthorOfPublicatione8191634-f6b7-4f49-928b-f42b51d2c37f
relation.isAuthorOfPublication.latestForDiscoverye8191634-f6b7-4f49-928b-f42b51d2c37f
relation.isSeriesOfPublication26e071dc-b0bf-409c-b982-df2970295c87
relation.isSeriesOfPublication.latestForDiscovery26e071dc-b0bf-409c-b982-df2970295c87
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