Revisiting the Meaning of Development: A Multidimensional Taxonomy of Developing Countries.
Many have challenged the use of income per capita as the primary proxy for measuring development since Seers’s seminal works. This article continues this tradition with a more recent twist. We use cluster analysis to build a multidimensional taxonomy of developing countries using a set of indicators...
| Published in: | Journal of Development Studies Vol. 49; no. 12; pp. 1728 - 1746 |
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| Main Authors: | , |
| Format: | Article |
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Taylor & Francis Ltd
Dec2013
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| Subjects: | |
| Online Access: | View this record in EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ssf&AN=92774399&site=ehost-live header: @attributes: shortDbName: ssf uiTerm: 92774399 longDbName: Social Sciences Full Text (H.W. Wilson) uiTag: AN controlInfo: bkinfo: jinfo: jid: 00220388 JDS jtl: Journal of Development Studies issn: 00220388 maglogo: N pubinfo: dt: Dec2013 vid: 49 iid: 12 pid: 377 pub: Taylor & Francis Ltd artinfo: ui: 92774399 10.1080/00220388.2013.822071 ppf: 1728 ppct: 18 formats: fmt: – @attributes: type: T db: hlh ui: 92774399 – @attributes: type: P db: hlh ui: 92774399 tig: atl: Revisiting the Meaning of Development: A Multidimensional Taxonomy of Developing Countries. aug: au: Tezanos Vázquez, Sergio Sumner, Andy affil: Iberoamerican Research Office on International Development & Co-operation, University of Cantabria, Santander, Spain King's International Development Institute, King's College London, UK su: Economic development research Economic indicators Poverty research Economic conditions in developing countries Cluster analysis (Statistics) sug: subj: Economic development research Economic indicators Poverty research Economic conditions in developing countries Cluster analysis (Statistics) ab: Many have challenged the use of income per capita as the primary proxy for measuring development since Seers’s seminal works. This article continues this tradition with a more recent twist. We use cluster analysis to build a multidimensional taxonomy of developing countries using a set of indicators covering four conceptual frames on ‘development’. The value-added of the article is not to suggest that our classification is the end in itself, but – more modestly – to demonstrate that more work on taxonomies is required in light of the weakness of classifications based solely on income and the changing distribution of global poverty. pubtype: Academic Journal doctype: Article src: R language: English refInfo: copyright: @attributes: flag: N holdings: @attributes: islocal: N |
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