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Sustainable Development: Actual Trends on Synthetic Indicators, Non-aggregative and Configurational Approaches
Social Indicators Research ( IF 2.935 ) Pub Date : 2021-02-25 , DOI: 10.1007/s11205-021-02658-y
Norat Roig-Tierno , Alberto Arcagni

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.



中文翻译:

可持续发展:综合指标,非集合和配置方法的实际趋势

可持续发展是人类基本挑战的关键。当试图了解人类与自然和社会之间的关系时,使用非聚合方法可能会很有吸引力。定性比较分析(QCA)是一种将定性和定量方法学的优点融合在一起的方法,可以识别解释结果所必需或充分的条件模式。部分有序集(姿势)理论是数学的一个分支,通过它可以获取允许处理序数维多维系统的工具。评估福祉和发展需要就其决定因素以及社会共享一个概念框架,从确定最一致,最有效的方法论到构建易于被社会理解的指标方面的需求。可持续发展是一个日益引起人们关注的问题,由于使用了这些方法,并结合了环境和社会经济问题,其学术发展得以改善。

更新日期:2021-02-26
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