Publication: Using National Statistics to Increase Transparency of Large Land Acquisition: Evidence from Ethiopia
dc.contributor.author | Ali, Daniel Ayalew | |
dc.contributor.author | Deininger, Klaus | |
dc.date.accessioned | 2018-01-29T19:43:46Z | |
dc.date.available | 2018-01-29T19:43:46Z | |
dc.date.issued | 2017-05 | |
dc.description.abstract | Almost a decade after the rise in land demand triggered by the 2007/08 commodity price boom, most potential target countries still lack access to relevant information on a routine basis. This has reduced their ability to effectively regulate, monitor, and attract responsible investors rather than speculators in their effort to increase agricultural productivity and have benefits accrue to the host communities. The example of Ethiopia shows how building on existing data collection efforts allows to address this challenge and help formulate policies that guide the path forward. Using the 2013/14 nationally representative smallholder and commercial farm surveys, we find that (i) for most crops commercial farms’ yields are higher than smallholders’, with a peak in the 10–20-ha bracket; (ii) commercial farms create few permanent jobs (with just one permanent job per 20 ha) and use only 55% of the land transferred to them; and (iii) after a peak in 2008, formation of new commercial farms is down to the pre-2007 levels. These findings imply that having reliable data on commercial farms, collected on regular intervals, could generate feedback loops for policy formulation and also provide vital information to assess and take regulatory actions aimed at improving the performance and attracting higher levels of investment to the sector. | en |
dc.identifier.citation | World Development | |
dc.identifier.doi | 10.1596/29253 | |
dc.identifier.issn | 0305-750X | |
dc.identifier.uri | https://hdl.handle.net/10986/29253 | |
dc.publisher | Elsevier | |
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 | LAND ADMINISTRATION | |
dc.subject | LAND ACQUISITION | |
dc.subject | TRANSPARENCY | |
dc.subject | AGRIBUSINESS | |
dc.subject | JOB CREATION | |
dc.subject | AGRICULTURAL PRODUCTIVITY | |
dc.subject | COMMODITY PRICES | |
dc.subject | SPECULATION | |
dc.title | Using National Statistics to Increase Transparency of Large Land Acquisition | en |
dc.title.subtitle | Evidence from Ethiopia | 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.sciencedirect.com/science/article/pii/S0305750X1530190X Journal website (version of record) | en |
okr.associatedcontent | https://openknowledge.worldbank.org/handle/10986/22219 Working paper version (pre-print) | en |
okr.crossref.title | Using National Statistics to Increase Transparency of Large Land Acquisition: Evidence from Ethiopia | |
okr.date.disclosure | 2019-01-17 | |
okr.doctype | Publications & Research::Journal Article | |
okr.doctype | Publications & Research | |
okr.externalcontent | External Content | |
okr.identifier.doi | 10.1016/j.worlddev.2016.12.027 | |
okr.identifier.doi | 10.1596/29253 | |
okr.identifier.report | 123228 | |
okr.journal.nbpages | 62-74 | |
okr.language.supported | en | |
okr.peerreview | Academic Peer Review | |
okr.region.administrative | Africa | |
okr.region.country | Ethiopia | |
okr.topic | Communities and Human Settlements::Land Administration | |
okr.topic | Communities and Human Settlements::Land Information Systems | |
okr.topic | Communities and Human Settlements::Land Use and Policies | |
okr.topic | Private Sector Development::Land and Real Estate Development | |
okr.topic | Rural Development::Rural Land Policies for Poverty Reduction | |
okr.unit | DECAR | |
okr.volume | 93 | |
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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