Accounting for socio-economic inequalities in health to inform SDG decision making: A proof-of-concept study

Most SDG-inequality indices rely on a unidimensional design which cannot reflect how a given health outcome is distributed along the socio-economic spectrum. The concentration index can overcome this limitation. With an application to adult excess weight data, the concentration index was illustrated...

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Main Author: Paolo Candio
Format: Article
Language:English
Published: Elsevier 2024-12-01
Series:Sustainable Futures
Subjects:
Online Access:http://www.sciencedirect.com/science/article/pii/S2666188824001709
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author Paolo Candio
author_facet Paolo Candio
author_sort Paolo Candio
collection DOAJ
description Most SDG-inequality indices rely on a unidimensional design which cannot reflect how a given health outcome is distributed along the socio-economic spectrum. The concentration index can overcome this limitation. With an application to adult excess weight data, the concentration index was illustrated along with a decomposition method which allowed for key predictors to be identified. An Erreyger's concentration index and Shapley decomposition-based approach provide a relatively simple analytical tool to the monitoring of socio-economic inequalities in health. Such analytical approach should be considered as a monitoring tool by public managers to inform SDG policy and budgetary decisions.
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spelling doaj-art-cf3e134d3de341ebaa568c479ca6d32a2025-08-20T02:48:57ZengElsevierSustainable Futures2666-18882024-12-01810032110.1016/j.sftr.2024.100321Accounting for socio-economic inequalities in health to inform SDG decision making: A proof-of-concept studyPaolo Candio0Department of Economics and Management, University of Trento, Via Vigilio Inama, 5, Trento, ItalyMost SDG-inequality indices rely on a unidimensional design which cannot reflect how a given health outcome is distributed along the socio-economic spectrum. The concentration index can overcome this limitation. With an application to adult excess weight data, the concentration index was illustrated along with a decomposition method which allowed for key predictors to be identified. An Erreyger's concentration index and Shapley decomposition-based approach provide a relatively simple analytical tool to the monitoring of socio-economic inequalities in health. Such analytical approach should be considered as a monitoring tool by public managers to inform SDG policy and budgetary decisions.http://www.sciencedirect.com/science/article/pii/S2666188824001709Health inequalitySDGConcentration indexPublic management
spellingShingle Paolo Candio
Accounting for socio-economic inequalities in health to inform SDG decision making: A proof-of-concept study
Sustainable Futures
Health inequality
SDG
Concentration index
Public management
title Accounting for socio-economic inequalities in health to inform SDG decision making: A proof-of-concept study
title_full Accounting for socio-economic inequalities in health to inform SDG decision making: A proof-of-concept study
title_fullStr Accounting for socio-economic inequalities in health to inform SDG decision making: A proof-of-concept study
title_full_unstemmed Accounting for socio-economic inequalities in health to inform SDG decision making: A proof-of-concept study
title_short Accounting for socio-economic inequalities in health to inform SDG decision making: A proof-of-concept study
title_sort accounting for socio economic inequalities in health to inform sdg decision making a proof of concept study
topic Health inequality
SDG
Concentration index
Public management
url http://www.sciencedirect.com/science/article/pii/S2666188824001709
work_keys_str_mv AT paolocandio accountingforsocioeconomicinequalitiesinhealthtoinformsdgdecisionmakingaproofofconceptstudy