Next Article in Journal
Cause-Related Marketing and Purchase Intention toward Team-Licensed Products: Moderating Effects of Sport Consumers’ Altruism
Next Article in Special Issue
Toward Sustainable Development: Decoupling the High Ecological Footprint from Human Society Development: A Case Study of Hong Kong
Previous Article in Journal
Xanthomonas Wilt of Banana Drives Changes in Land-Use and Ecosystem Services Across Infected Landscapes
Previous Article in Special Issue
Tackling Traffic Congestion with Workplace Parking Levies
Review

Quantitative Models of Well-Being to Inform Policy: Problems and Opportunities

Sustainable Places Research Institute, Cardiff University, Cardiff CF10 3BA, UK
Sustainability 2020, 12(8), 3180; https://doi.org/10.3390/su12083180
Received: 18 March 2020 / Revised: 8 April 2020 / Accepted: 9 April 2020 / Published: 15 April 2020
(This article belongs to the Special Issue Sustainable Cities: Challenges and Potential Solutions)
Subjective well-being, in contrast to other commonly used performance metrics such as gross domestic product, appears to offer a way to directly measure what society aims to achieve. Subjective well-being modeling to date has been restricted to regression analysis. This paper synthesizes and critiques existing literature and case studies to examine the challenges and opportunities presented by more advanced computations of well-being, including spatial, optimizing and spatial-optimizing models, which may well be created by researchers in the future if current policy level interest in well-being continues to grow. Subjective well-being is a promising measure, especially in light of recent research that shows reliable correlations with objective measures. However, the issue of individual adaptation means that excessive focus on subjective well-being may discriminate against groups with lower expectations and higher ability and/or willingness to adapt. Alternative approaches such as equivalent income may address this issue, at the expense of being harder to measure. Through an examination of four case studies and one thought experiment, we find that modeling challenges include nonlinearity, interaction, spatial sorting and extrapolation beyond valid limits. A significant research gap is found in how individual well-being scores should be aggregated to a collective one; this is a normative question although descriptive ethics would appear to offer a practical approach. View Full-Text
Keywords: well-being; subjective well-being; modeling well-being; subjective well-being; modeling
Show Figures

Figure 1

MDPI and ACS Style

Cooper, C.H.V. Quantitative Models of Well-Being to Inform Policy: Problems and Opportunities. Sustainability 2020, 12, 3180. https://doi.org/10.3390/su12083180

AMA Style

Cooper CHV. Quantitative Models of Well-Being to Inform Policy: Problems and Opportunities. Sustainability. 2020; 12(8):3180. https://doi.org/10.3390/su12083180

Chicago/Turabian Style

Cooper, Crispin H.V. 2020. "Quantitative Models of Well-Being to Inform Policy: Problems and Opportunities" Sustainability 12, no. 8: 3180. https://doi.org/10.3390/su12083180

Find Other Styles
Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Article Access Map by Country/Region

1
Back to TopTop