Modelling Welfare Transitions to Prioritise Sustainable Development Interventions in Coastal Kenya

Katuva, J; Hope, R; Foster, T; Koehler, J; Thomson, P

Modelling Welfare Transitions to Prioritise Sustainable Development Interventions in Coastal Kenya

Katuva, J Hope, R Foster, T

Koehler, J Thomson, P

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Publisher:: MDPI AG
Publication Type:: Journal Article
Citation:: Sustainability, 2020, 12, (17), pp. 6943-6943
Issue Date:: 2020-08-26

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Field	Value	Language
dc.contributor.author	Katuva, J
dc.contributor.author	Hope, R
dc.contributor.author	Foster, T https://orcid.org/0000-0003-1738-3450
dc.contributor.author	Koehler, J
dc.contributor.author	Thomson, P
dc.date.accessioned	2020-09-19T07:25:52Z
dc.date.available	2020-09-19T07:25:52Z
dc.date.issued	2020-08-26
dc.identifier.citation	Sustainability, 2020, 12, (17), pp. 6943-6943
dc.identifier.issn	2071-1050
dc.identifier.uri	http://hdl.handle.net/10453/142759
dc.description.abstract	<jats:p>Welfare transitions are weakly understood in sub-Saharan Africa due to limited panel data to analyze trajectories of household escaping from, falling into, or remaining out of deprivation. We model data from 3500 households in coastal Kenya in three panels from 2014 to 2016 to evaluate determinants of welfare by multidimensional and subjective measures. Findings indicate that more than half of the households are deprived, with female-headed households being the most vulnerable and making the least progress. The subjective welfare measure identified three times more chronically poor households than the multidimensional metric (27% vs. 9%); in contrast, the multidimensional metric estimated twice as many ‘never poor’ households than the subjective measure (39% vs. 16%). The ‘churning poor’ were broadly consistent for both measures at roughly half the sample. Four welfare priorities converged from modelling welfare transitions. Broadening access to secondary education and energy services, improving the reliability and proximity of drinking water services, and ending open defecation improve welfare outcomes. While the policy implications do not align neatly with Kenya’s national and county government mandates, we argue that prioritising fewer but targeted sustainable development goals may improve accountability, feasibility, and responsibility in delivery if informed by local priorities and political salience.</jats:p>
dc.language	en
dc.publisher	MDPI AG
dc.relation.ispartof	Sustainability
dc.relation.isbasedon	10.3390/su12176943
dc.rights	info:eu-repo/semantics/openAccess
dc.subject	12 Built Environment and Design
dc.title	Modelling Welfare Transitions to Prioritise Sustainable Development Interventions in Coastal Kenya
dc.type	Journal Article
utslib.citation.volume	12
utslib.for	12 Built Environment and Design
pubs.organisational-group	/University of Technology Sydney/DVC (Research)
pubs.organisational-group	/University of Technology Sydney/Strength - ISF - Institute for Sustainable Futures
pubs.organisational-group	/University of Technology Sydney/DVC (Research)/Institute For Sustainable Futures
pubs.organisational-group	/University of Technology Sydney
utslib.copyright.status	open_access	*
pubs.consider-herdc	true
dc.date.updated	2020-09-19T07:25:46Z
pubs.issue	17
pubs.publication-status	Published online
pubs.volume	12
utslib.citation.issue	17

Abstract:

Welfare transitions are weakly understood in sub-Saharan Africa due to limited panel data to analyze trajectories of household escaping from, falling into, or remaining out of deprivation. We model data from 3500 households in coastal Kenya in three panels from 2014 to 2016 to evaluate determinants of welfare by multidimensional and subjective measures. Findings indicate that more than half of the households are deprived, with female-headed households being the most vulnerable and making the least progress. The subjective welfare measure identified three times more chronically poor households than the multidimensional metric (27% vs. 9%); in contrast, the multidimensional metric estimated twice as many ‘never poor’ households than the subjective measure (39% vs. 16%). The ‘churning poor’ were broadly consistent for both measures at roughly half the sample. Four welfare priorities converged from modelling welfare transitions. Broadening access to secondary education and energy services, improving the reliability and proximity of drinking water services, and ending open defecation improve welfare outcomes. While the policy implications do not align neatly with Kenya’s national and county government mandates, we argue that prioritising fewer but targeted sustainable development goals may improve accountability, feasibility, and responsibility in delivery if informed by local priorities and political salience.

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http://hdl.handle.net/10453/142759