The Cost of Well-Being

Patrizii, Vincenzino; Pettini, Anna; Resce, Giuliano

doi:10.1007/s11205-016-1394-2

Cited by 22 publications

(14 citation statements)

References 37 publications

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“…There are two main reasons why the OECD BLI is particularly suitable for this kind of analysis. First, since it contains 24 variables related to 11 different topics, it is one of the largest dataset collecting well-being data at country level (Patrizii et al 2017). Second, in the dedicated web-site 2 , OECD provides a survey of the user weightings related to the 11 topics.…”

Section: Introductionmentioning

confidence: 99%

Measuring well-being by a multidimensional spatial model in OECD Better Life Index framework

Greco

Ishizaka

Resce

et al. 2020

Socio-Economic Planning Sciences

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We propose a multidimensional spatial model to evaluate the well-being using the Better Life Index (BLI) in 36 countries according to a two-steps procedure. First, we position the countries as points in the Euclidean K-dimensional space in which each dimension is a specific aspect of well-being as measured in the BLI. Second, we consider each individual/voter's opinions on the same dimensions to calculate the personal optimal point in that same K-dimensional space. Hence, we measure the distance between optimal point of well-being and the actual observed point at individual level. This distance is interpreted as the individuals' loss in well-being. We show that this loss is negatively related (i) to the overall well-being in terms of BLI and (ii) the main indices of quality of democracy.

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Section: Introductionmentioning

confidence: 99%

Measuring well-being by a multidimensional spatial model in OECD Better Life Index framework

Greco

Ishizaka

Resce

et al. 2020

Socio-Economic Planning Sciences

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“…To avoid these shortcomings, in previous composite indices, the data-driven methods, in particular DEA without input (Benefit of Doubt -BoD), have been extensively employed as technique of aggregation (Decancq and Lugo, 2013;Patrizii et al, 2017, Greco et al, 2018. The basic assumption of DEA evaluations is that the status-quo is a choice of the decision maker (Cherchye et al, 2007).…”

Section: Weightsmentioning

confidence: 99%

Beyond CO2: A multi-criteria analysis of air pollution in Europe

Caravaggio

Caravella

Ishizaka

et al. 2019

Journal of Cleaner Production

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“…The Hierarchical model tends to assume a linear relationship between economic and material wellbeing and all other types of wellbeing. Research shows a curvilinear relationship where financial wealth does contribute to happiness/life satisfaction but only to a point-the threshold hypothesis (Easterlin 1974; for more recent data see Ciommi et al's 2017 longitudinal study of Italian wellbeing; van Zanden et al 2014 'How was life' study ;Gasper 2005;Max-Neef 1995;Patrizii et al 2017).…”

Section: Critiquementioning

confidence: 99%

Wellbeing as Emergent from the Leveraging of Polarities: Harnessing Component Interdependencies

Newey

Oliveira

2019

Soc Indic Res

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The starting premise of this article is that within existing approaches the nature of the interrelationship between components of wellbeing is both under-conceptualized and undermeasured. This paper contrasts three perspectives of wellbeing component interrelationship. The first and most common is a hierarchical approach, which prioritizes economic wellbeing and uses this to fund attainment of other components of wellbeing, such as social and environmental. A second perspective, which we call aggregation approaches, list dashboards of wellbeing components and average them. Both of these approaches emphasize the dependence and independence of the underlying components respectively. In this paper we develop a conceptualization of wellbeing based on the interdependence of eight components: economic, environmental, social, cultural, psychological, physical, spiritual and cultural. Our theory of interdependence is a multarity-based view of wellbeing which sees the latter as emerging from the integrated leveraging of at least four fundamental polarities: economic and environmental, physical and psychological, material and spiritual and social and cultural. Wellbeing costs increase and value creation opportunities lost when interdependence between components is ignored.

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The Cost of Well-Being

Cited by 22 publications

References 37 publications

Measuring well-being by a multidimensional spatial model in OECD Better Life Index framework

Measuring well-being by a multidimensional spatial model in OECD Better Life Index framework

Beyond CO2: A multi-criteria analysis of air pollution in Europe

Wellbeing as Emergent from the Leveraging of Polarities: Harnessing Component Interdependencies

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