Publication:
Using Satellite Imagery to Create Tax Maps and Enhance Local Revenue Collection

dc.contributor.authorAli, Daniel Ayalew
dc.contributor.authorDeininger, Klaus
dc.date.accessioned2019-08-05T14:17:21Z
dc.date.available2019-08-05T14:17:21Z
dc.date.issued2020
dc.description.abstractAlthough taxes on land and property have many desirable attributes, the challenge of ensuring completeness of tax rolls and currency of valuations preclude their effective use to support urbanization and service provision in many developing countries. The example of Kigali shows how building footprints and heights generated from high-resolution satellite imagery, together with sales prices and routine statistical data, allow to assess and improve coverage and design of property tax systems. We show that only 40% of potential land lease fee revenue (of US$ 4.9 million) was collected and that moving to 1% value-based tax would increase revenue almost 10 times while being less regressive than the current system. While this could allow reducing the tax burden for low-income groups, exemptions should be applied with caution based on careful empirical analysis.en
dc.identifier.citationApplied Economics
dc.identifier.doi10.1596/32159
dc.identifier.issn0003-6846
dc.identifier.urihttps://hdl.handle.net/10986/32159
dc.publisherTaylor and Francis
dc.rightsCC BY-NC-ND 3.0 IGO
dc.rights.holderWorld Bank
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/3.0/igo
dc.subjectPROPERTY TAX
dc.subjectPROPERTY VALUE
dc.subjectSATELLITE IMAGERY
dc.subjectSPATIAL HEDONIC MODEL
dc.subjectMASS VALUATION
dc.subjectREVENUE MOBILIZATION
dc.subjectTAXATION
dc.titleUsing Satellite Imagery to Create Tax Maps and Enhance Local Revenue Collectionen
dc.typeJournal Articleen
dc.typeArticle de journalfr
dc.typeArtículo de revistaes
dspace.entity.typePublication
okr.associatedcontenthttps://www.tandfonline.com/doi/full/10.1080/00036846.2019.1646408 Journal website (version of record)en
okr.crossref.titleUsing Satellite Imagery to Create Tax Maps and Enhance Local Revenue Collection
okr.date.disclosure2021-02-04
okr.doctypePublications & Research::Journal Article
okr.doctypePublications & Research
okr.externalcontentExternal Content
okr.identifier.doi10.1080/00036846.2019.1646408
okr.identifier.doi10.1596/32159
okr.identifier.report140213
okr.journal.nbpages415-29
okr.language.supporteden
okr.peerreviewAcademic Peer Review
okr.region.administrativeAfrica
okr.region.countryRwanda
okr.topicCommunities and Human Settlements::Land Administration
okr.topicMacroeconomics and Economic Growth::Taxation & Subsidies
okr.topicPublic Sector Development::Tax Administration
okr.topicScience and Technology Development::Earth Sciences & GIS
okr.unitDECAR
okr.volume52(4)
relation.isAuthorOfPublication222ae66b-b10f-58d1-892a-56c27c73ba84
relation.isAuthorOfPublication68546f99-84de-5466-be55-9170c38603e2
relation.isAuthorOfPublication.latestForDiscovery68546f99-84de-5466-be55-9170c38603e2
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