Efficiency in human development: A Data Envelopment Analysis
Valerie Vierstraete ()
Cahiers de recherche from Departement d'Economique de l'École de gestion à l'Université de Sherbrooke
The human development index (HDI) is a measure of development published annually by the UNDP. This index allows countries’ development to be assessed on the basis of three indicators that measure the health, education, and standard of living of the population. The UNDP also computes a human development that excludes this last indicator, the HDI*. The global average of the HDI is approximately 0.75, but like the HDI*, it presents some striking inter-country disparities. In this study, we wish to demonstrate that efficiency in the utilization of public resources can have an incidence on HDI* scores. Thus, owing to a certain “waste” in their use of resources, countries with similar levels of government spending may end up with differing levels of human development. We measure this efficiency using the Data Envelopment Analysis (DEA) method. Relative efficiency in resource use is thus computed by comparing the countries in the study amongst themselves.
Keywords: Data Envelopment Analysis; DEA; efficiency; development; human development index; HDI (search for similar items in EconPapers)
JEL-codes: O15 O57 (search for similar items in EconPapers)
New Economics Papers: this item is included in nep-eff, nep-hap and nep-hrm
References: Add references at CitEc
Citations View citations in EconPapers (2) Track citations by RSS feed
Downloads: (external link)
http://gredi.recherche.usherbrooke.ca/wpapers/GREDI-1025.pdf First version, 2010 (application/pdf)
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
Persistent link: http://EconPapers.repec.org/RePEc:shr:wpaper:10-25
Access Statistics for this paper
More papers in Cahiers de recherche from Departement d'Economique de l'École de gestion à l'Université de Sherbrooke Contact information at EDIRC.
Series data maintained by Luc Savard ().