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Sustainable Development: Actual Trends on Synthetic Indicators, Non-aggregative and Configurational Approaches

Norat Roig-Tierno () and Alberto Arcagni ()
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Norat Roig-Tierno: Universitat Politècnica de València
Alberto Arcagni: Sapienza University of Rome

Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, 2021, vol. 157, issue 1, No 1, 7 pages

Abstract: Abstract Sustainable development is key for the fundamental challenges of humanity. The use of non-aggregative approaches can be attractive when trying to understand the relationships of humanity with both nature and society. Qualitative Comparative Analysis (QCA) is a method that merges the advantages of qualitative and quantitative methodologies and identifies patterns of conditions that are necessary or sufficient for explaining an outcome. Partially ordered set (poset) theory is a branch of mathematics through which tools that allow dealing with multidimensional systems of ordinal data are obtained. Assessing well-being and development requires sharing a conceptual framework on its determinants, as well as on society, and needs from the identification of the most consistent and effective methodologies to build indicators that are easily understood by society. Sustainable development is an increasingly interesting issue whose academic development can be improved thank to the use of these methodologies, in its combination of environmental and socio-economic concerns.

Keywords: Sustainable development; Qualitative comparative analysis (QCA); FsQCA; Partially ordered set (poset) (search for similar items in EconPapers)
Date: 2021
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DOI: 10.1007/s11205-021-02658-y

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