Publication: Using Satellite Imagery to Create Tax Maps and Enhance Local Revenue Collection
dc.contributor.author | Ali, Daniel Ayalew | |
dc.contributor.author | Deininger, Klaus | |
dc.date.accessioned | 2019-08-05T14:17:21Z | |
dc.date.available | 2019-08-05T14:17:21Z | |
dc.date.issued | 2020 | |
dc.description.abstract | Although 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.citation | Applied Economics | |
dc.identifier.doi | 10.1596/32159 | |
dc.identifier.issn | 0003-6846 | |
dc.identifier.uri | https://hdl.handle.net/10986/32159 | |
dc.publisher | Taylor and Francis | |
dc.rights | CC BY-NC-ND 3.0 IGO | |
dc.rights.holder | World Bank | |
dc.rights.uri | http://creativecommons.org/licenses/by-nc-nd/3.0/igo | |
dc.subject | PROPERTY TAX | |
dc.subject | PROPERTY VALUE | |
dc.subject | SATELLITE IMAGERY | |
dc.subject | SPATIAL HEDONIC MODEL | |
dc.subject | MASS VALUATION | |
dc.subject | REVENUE MOBILIZATION | |
dc.subject | TAXATION | |
dc.title | Using Satellite Imagery to Create Tax Maps and Enhance Local Revenue Collection | en |
dc.type | Journal Article | en |
dc.type | Article de journal | fr |
dc.type | ArtÃculo de revista | es |
dspace.entity.type | Publication | |
okr.associatedcontent | https://www.tandfonline.com/doi/full/10.1080/00036846.2019.1646408 Journal website (version of record) | en |
okr.crossref.title | Using Satellite Imagery to Create Tax Maps and Enhance Local Revenue Collection | |
okr.date.disclosure | 2021-02-04 | |
okr.doctype | Publications & Research::Journal Article | |
okr.doctype | Publications & Research | |
okr.externalcontent | External Content | |
okr.identifier.doi | 10.1080/00036846.2019.1646408 | |
okr.identifier.doi | 10.1596/32159 | |
okr.identifier.report | 140213 | |
okr.journal.nbpages | 415-29 | |
okr.language.supported | en | |
okr.peerreview | Academic Peer Review | |
okr.region.administrative | Africa | |
okr.region.country | Rwanda | |
okr.topic | Communities and Human Settlements::Land Administration | |
okr.topic | Macroeconomics and Economic Growth::Taxation & Subsidies | |
okr.topic | Public Sector Development::Tax Administration | |
okr.topic | Science and Technology Development::Earth Sciences & GIS | |
okr.unit | DECAR | |
okr.volume | 52(4) | |
relation.isAuthorOfPublication | 222ae66b-b10f-58d1-892a-56c27c73ba84 | |
relation.isAuthorOfPublication | 68546f99-84de-5466-be55-9170c38603e2 | |
relation.isAuthorOfPublication.latestForDiscovery | 68546f99-84de-5466-be55-9170c38603e2 |
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