Technology Heterogeneity and Poverty Traps: A Latent Class Approach to Technology Gap Drivers of Chronic Poverty.
The analysis of household wealth dynamic remains an important methodology in the identification of poverty traps. To overcome measurement issues in survey data, livelihoods-based approaches of the dynamics of poverty are typically examined using panel regressions of a livelihoods regression on house...
| Publicado en: | Journal of Development Studies Vol. 59; no. 2; pp. 224 - 242 |
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| Autores principales: | , , , |
| Formato: | Artículo |
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Taylor & Francis Ltd
Feb2023
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| Materias: | |
| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ssf&AN=161545650&site=ehost-live header: @attributes: shortDbName: ssf uiTerm: 161545650 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: Feb2023 vid: 59 iid: 2 pid: 377 pub: Taylor & Francis Ltd artinfo: ui: 161545650 10.1080/00220388.2022.2128775 ppf: 224 ppct: 18 formats: fmt: – @attributes: type: T db: hlh ui: 161545650 – @attributes: type: P db: hlh ui: 161545650 tig: atl: Technology Heterogeneity and Poverty Traps: A Latent Class Approach to Technology Gap Drivers of Chronic Poverty. aug: au: Hill, Daniel McWhinnie, Stephanie F. Kumar, Shalander Gregg, Daniel affil: School of Business, University of New England, Armidale, Australia School of Economics and Public Policy, University of Adelaide, Adelaide, Australia Enabling Systems Transformation, International Crops Research Institute for the Semi-Arid Tropics, Hyderabad, India Heuris Pty Ltd, Adelaide, Australia su: India Heterogeneity Poverty Socioeconomic factors Households Digital divide sug: subj: Heterogeneity Poverty Socioeconomic factors Households India Private Households Digital divide keyword: asset indices latent class model Livelihood dynamics poverty traps asset indices latent class model Livelihood dynamics poverty traps ab: The analysis of household wealth dynamic remains an important methodology in the identification of poverty traps. To overcome measurement issues in survey data, livelihoods-based approaches of the dynamics of poverty are typically examined using panel regressions of a livelihoods regression on household assets and other socio-economic factors over time. In this paper, we characterise the livelihoods regression as a 'livelihoods technology', and use a latent class-technology approach to account for heterogeneity in how households generate a livelihood. We use a detailed dataset from rural India covering 213 households across 2001–2014, and control for selection issues through a Heckman Selection model. Our results are the first in the wealth dynamics literature to show that substantial heterogeneity exists in the technologies with which households generate their livelihoods. Importantly, we show that accounting for heterogeneity in household livelihoods 'technologies' more readily identifies different equilibria in wealth levels and provides previously foregone information on who is poor and why they remain poor. pubtype: Academic Journal doctype: Article src: R language: English refInfo: copyright: @attributes: flag: N holdings: @attributes: islocal: N |
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