Developing a resilience indicator for food security monitoring and evaluation : index construction and household classification for six African countries

dc.contributor.authorBrowne, M.
dc.contributor.authorOrtmann, G.F.
dc.contributor.authorHendriks, Sheryl L.
dc.contributor.emailsheryl.hendriks@up.ac.zaen_US
dc.date.accessioned2014-11-03T09:14:20Z
dc.date.issued2014
dc.description.abstractThe objective of the study was to develop an indicator of household resilience as a measure of progress towards achieving the first of four elements identified in the Framework for African Food Security. A review of the literature provided support for the use of assets owned by a household as an indicator of household resilience. Several methods of constructing household asset indices emerged from the literature reviewed. The application of four of these methods to Demographic and Health Survey data from six African countries is presented in this paper. The resulting indices were used to estimate individual socio-economic status scores for all households. All four methods performed similarly across the assessment characteristics, but yielded different results when the households were grouped into quintiles based on the estimated socio-economic status scores. As suggested by the literature, quintiles were used to classify the study households into categories of socio-economic status based on the estimated socio-economic status scores. However, socio-economic status was not evenly distributed across the study households making the use of a quintile approach inappropriate for grouping the households. Cluster analysis was applied as an alternative to the quintile classification to group the study households. Cluster analysis appeared to be a more effective approach to grouping households, both in that it does not assume an even distribution of socio-economic status across households – as the quintile approach does – and it provides a useful indication of changes in the per cent of households falling into different socio-economic status groups over time.en_US
dc.description.embargo2015-10-31
dc.description.librarianhb2014en_US
dc.description.sponsorshipNational Research Foundation (NRF) of South Africaen_US
dc.description.urihttp://www.tandfonline.com/loi/ragr20en_US
dc.identifier.citationBrowne, M, Ortmann GF & Hendriks, SL 2014, 'Developing a resilience indicator for food security monitoring and evaluation : index construction and household classification for six Africancountries', Agrekon : Agricultural Economics Research, Policy and Practice in Southern Africa, vol. 53, no. 3, pp. 31-56.en_US
dc.identifier.issn0303-1853 (print)
dc.identifier.issn2078-0400 (online)
dc.identifier.other10.1080/03031853.2014.929011
dc.identifier.urihttp://hdl.handle.net/2263/42459
dc.language.isoenen_US
dc.publisherRoutledgeen_US
dc.rights© Agricultural Economics Association of South Africa. This is an electronic version of an article published in Agrekon, vol. 53, no. 3, pp. 31-56, 2014. doi :10.1080/03031853.2014.929011. Agrekon is available online at : http://www.tandfonline.com/loi/ragr20.en_US
dc.subjectResilienceen_US
dc.subjectAsset indexen_US
dc.subjectCluster analysisen_US
dc.subjectFood securityen_US
dc.subjectComprehensive African Agricultural Development Programme’s (CAADP)en_US
dc.subjectPrincipal component analysis (PCA)en_US
dc.titleDeveloping a resilience indicator for food security monitoring and evaluation : index construction and household classification for six African countriesen_US
dc.typePostprint Articleen_US

Files

Original bundle

Now showing 1 - 1 of 1
Loading...
Thumbnail Image
Name:
Browne_Developing_2014.pdf
Size:
394.56 KB
Format:
Adobe Portable Document Format
Description:
Postprint Article

License bundle

Now showing 1 - 1 of 1
Loading...
Thumbnail Image
Name:
license.txt
Size:
1.71 KB
Format:
Item-specific license agreed upon to submission
Description: