The Construction of a Synthetic Index Comparing Multidimensional Well-Being in the European Union

Ivaldi, Enrico; Bonatti, Guido; Soliani, Riccardo

doi:10.1007/s11205-014-0855-8

Cited by 47 publications

(22 citation statements)

References 52 publications

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“…The fact that Scandinavian and Nordic countries, which lead the world in several prominent criteria, scored the highest points as anticipated. Findings reported by Balešentis et al (2011), Reig--Martinez (2013), Ivaldi et al (2016), and Önay (2016) were consistent with the findings of the present study. These countries are leaders in the world rankings due to their high per capita income, low unemployment, and crime rates, better educational opportunities, better income distribution, and social state policies when compared to other nations.…”

Section: Discussionsupporting

confidence: 93%

“…It was determined that the best performers were Nordic countries and Switzerland, and Mauritania, Libya, and Syria were at the bottom of the ranking. Ivaldi et al (2016) developed a composite well--being index, the European Well--being Index (EWI), which aimed to measure well--being in the EU 27 countries using factorial analysis with the social indicator approach.…”

Section: Literaturementioning

confidence: 99%

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OECD ÜLKELERİNİN REFAH DÜZEYLERİNİN GRİ İLİŞKİSEL ANALİZ ile DEĞERLENDİRİLMESİ

Dilek¹

2020

Pamukkale University Journal of Social Sciences Institute

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In recent years, the definition and measurement of the well-being levels of nations have been among the most studied topics by researchers. After World War II, national income was used for this purpose; however, due to the impact of globalization, the inadequacy of this approach was identified, and a human-oriented development approach was adopted. Thus, the Human Development Index (HDI), first introduced in 1990, was presented as an important indicator. The need to define and measure well-being in more detail based on changing conditions resulted in the calculation of the Better Life Index (BLI) by the Organization for Economic Cooperation and Development (OECD) in 2011. In the present study, BLI 2017 data for 35 OECD member countries and 3 non-member states were analyzed with Gray Relational Analysis (GRA). In Multicriteria Decision Making (MCDM) analyses, determination of the weight is an important and critical issue that directly affects the results. Therefore, four objective weight determination methods, including mean-weights (MW) and standard deviation (SD), entropy, and CRITIC, were used in the study. Countries were ranked based on gray coefficient scores determined in the analysis. Thus, it was determined that the countries with the highest scores included Norway,

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Section: Discussionsupporting

confidence: 93%

Section: Literaturementioning

confidence: 99%

OECD ÜLKELERİNİN REFAH DÜZEYLERİNİN GRİ İLİŞKİSEL ANALİZ ile DEĞERLENDİRİLMESİ

Dilek¹

2020

Pamukkale University Journal of Social Sciences Institute

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“…Solely focusing on objective or subjective wellbeing measures has been criticised for its limited assessment (Hagerty et al, 2001;King et al 2014). Accordingly, much current research is focused on developing an aggregate measure of subjective and objective wellbeing, as well as considering and reflecting on the interconnectedness of social and ecological systems (Agarwala et al, 2014;Armitage et al, 2012;Ivaldi, Bonatti, & Soliani, 2016).…”

Section: Approaches To Measuring Wellbeingmentioning

confidence: 99%

Linkages between ecosystem services and human wellbeing: A Nexus Webs approach

Leviston

Walker

Green

et al. 2018

Ecological Indicators

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Ecosystems provide benefits to people, and, in turn, people individually and collectively affect the functioning and wellbeing of ecosystems. Interdependencies between ecosystem services and human wellbeing are critical for the sustainable future of ecosystems and human systems alike, but they are not well understood. We offer an account of these interdependencies from the perspective of social psychology. Using the Nexus Webs framework (Overton et al., 2013), we explore how a fuller knowledge of coupled social-ecological systems will benefit resource management and decision-making in contested spaces. We challenge the tacit notion that ecosystem health and human wellbeing are linearly related, and suggest human wellbeing may affect ecosystem health. We outline the multiple construals of the construct 'wellbeing', and identify additional psychological constructs of importance. We examine how the benefits of ecosystems for human wellbeing may accrue differently across regions and across people. Four areas for future research are identified.

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“…Secondariamente, per descrivere la deprivazione a livello geografico, si ritiene che indicatori parziali singolarmente considerati non siano sufficienti per catturare le condizioni socioeconomiche, ma che sia necessario utilizzare un insieme di variabili, o indicatori parziali, che tengano meglio conto della natura multidimensionale della deprivazione, tramite una sorta di effetto composizione di aspetti negativi (Ivaldi et al, 2015b;Ivaldi e Testi, 2011).…”

Section: Un Indice DI Deprivazione Su Base Regionaleunclassified

Deprivazione materiale e sociale nelle regioni italiane: una analisi attraverso l'elaborazione di indicatori sociali

Ivaldi¹

2018

Economia E Diritto Del Terziario

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Deprivazione materiale e sociale nelle regioni italiane: una analisi attraverso l'elaborazione di indicatori sociali di Enrico Ivaldi I fattori socio-economici sono tra le principali determinanti delle disuguaglianze sanitarie. Allo stato attuale non è ancora ben definito quali siano le componenti di status socio-economico che influiscono maggiormente sulla salute.A questo proposito si è scelto di utilizzare due differenti concezioni di deprivazione, rispettivamente materiale e sociale seguendo un concetto già evidenziato in letteratura. Gli indicatori proposti sono stati validati con la speranza di vita alla nascita e sull'indice composito di sicurezza, al fine di determinare quale tra i due indici influisca maggiormente sulle condizioni di vita.I risultati mostrano l'esistenza di una relazione tra stato di salute e condizioni di tipo materiale e la contemporanea assenza di tale relazione con le condizioni sociali che appaiono invece correlate inversamente con l'indice composito di sicurezza.Parole chiave: deprivazione materiale, deprivazione sociale, sicurezza, speranza di vita, condizioni sociali Socio-economic factors are among the main determinants of health inequalities. At present, the components of socio-economic status that most affect health are not yet well defined. In this paper it was decided to use two different concepts of deprivation, respectively material and social, following a concept already highlighted in literature. The proposed indicators have been validated with life expectancy at birth and with the composite safety index, in order to determine which of the two indices most influences living conditions.Copyright © FrancoAngeli Opera pubblicata con Licenza Creative Commons Attribuzione -Non commerciale -Non opere derivate.Per i termini e le condizioni di utilizzo di questa opera consultare il sito: http://creativecommons.org/. E. IVALDIThe results show the existence of a relationship between health and living conditions and the simultaneous absence of this relationship with the social conditions that appear to be inversely correlated with the composite safety index. Keywords: material deprivation, social deprivation, safety, health expectancy, social conditions JEL Classification: C10, C21, I14, I32 1. Introduzione Il concetto di deprivazioneGli studi che si occupano dell'analisi delle diversità legate all'ambiente sociale ed economico e che determinano uno stato di svantaggio, in relazione alle condizioni di vita della comunità a cui l'individuo appartiene, rientrano nel filone di studi legati alla deprivazione. Negli studi relativi allo svantaggio socio-economico sono state introdotte diverse tipologie di misure della deprivazione per esaminare se e in che misura condizioni diverse comportino differenze nella mortalità e nell'efficacia dei trattamenti socio-sanitari (Ivaldi e Testi, 2012). Questa tipologia di misurazione rientra nei cosiddetti "Indicatori di deprivazione".Un insieme di variabili o di indicatori parziali risulta essere lo strumento più adeguato per misurare le condiz...

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The Construction of a Synthetic Index Comparing Multidimensional Well-Being in the European Union

Cited by 47 publications

References 52 publications

OECD ÜLKELERİNİN REFAH DÜZEYLERİNİN GRİ İLİŞKİSEL ANALİZ ile DEĞERLENDİRİLMESİ

OECD ÜLKELERİNİN REFAH DÜZEYLERİNİN GRİ İLİŞKİSEL ANALİZ ile DEĞERLENDİRİLMESİ

Linkages between ecosystem services and human wellbeing: A Nexus Webs approach

Deprivazione materiale e sociale nelle regioni italiane: una analisi attraverso l'elaborazione di indicatori sociali

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