z-logo
open-access-imgOpen Access
Which Way Forward in Measuring the Quality of Life? A Critical Analysis of Sustainability and Well-Being Indicator Sets
Author(s) -
Doris Fuchs,
Bernd Schlipphak,
Oliver Treib,
Le Anh Nguyen Long,
Markus Lederer
Publication year - 2020
Publication title -
global environmental politics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.555
H-Index - 56
eISSN - 1536-0091
pISSN - 1526-3800
DOI - 10.1162/glep_a_00554
Subject(s) - unpacking , categorization , sustainability , quality (philosophy) , quality of life (healthcare) , sustainable development , measure (data warehouse) , management science , computer science , psychology , data science , process management , sociology , risk analysis (engineering) , political science , epistemology , business , economics , data mining , artificial intelligence , ecology , philosophy , linguistics , law , psychotherapist , biology
The movement to develop indicators that provide a more nuanced view of quality of life (QoL) continues to gain momentum and support in both scientific and policy-making circles. However, measuring QoL still faces a number of challenges. While a range of indicator sets has been developed, it is unclear whether any of them is able to adequately capture the broad range of conditions it encompasses. In addition, it has yet to be determined whether different dimensions of QoL can be meaningfully integrated in one indicator or if separate indicators need to be employed alongside each other for clear and reliable scientific results and policy advice. In this article, we aim to contribute to answering these open questions. To that end, we offer a framework, grounded in the literatures on well-being and sustainable development, for unpacking the QoL concept, and categorize and evaluate different existing indicator sets in terms of their ability to measure this concept of QoL. Moreover, we identify the challenges involved in integrating two very distinct aspects of QoL in one indicator.

The content you want is available to Zendy users.

Already have an account? Click here to sign in.
Having issues? You can contact us here
Accelerating Research

Address

John Eccles House
Robert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom