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Evaluating dynamics of national economies through cluster analysis within the input-state-output sustainability framework

descriptionPublicationkeyboard_double_arrow_right Article , Journal 01 Jan 2017 Germany, Italy Publisher:Elsevier BVJournal:Ecological Indicators, volume 72, pages 77-90 (issn: 1470-160X,

Authors: NERI, LAURA; D'AGOSTINO, ANTONELLA; Regoli, Andrea; PULSELLI, FEDERICO MARIA; COSCIEME, LUCA;

doi: 10.1016/j.ecolind.2016.08.016

handle: 11365/1005884 , 11367/57950

Evaluating dynamics of national economies through cluster analysis within the input-state-output sustainability framework

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Abstract

Abstract In this paper a cluster analysis is applied to an input-state-output indicator framework that represents the interconnection of the three aspects of sustainability, namely environmental, social and economic. This framework is a useful and comprehensive tool for assessing country performances over time and improving guidelines for the classification of countries under a sustainability perspective. The method enables identification of trends and traps that characterize the evolution of countries over time. The analysis is performed for 83 countries in 2000 and 2008 in order to observe system behaviour and development patterns.

Countries

Germany, Italy

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Keywords

Behavior and Systematic, Ecology, 330, Evolution, Development pattern, Sustainability, Indicator framework, Decision Sciences (all), Cross-country, Cluster analysis; Cross-country; Development pattern; Indicator framework; Socio-ecological systems; Sustainability; Decision Sciences (all); Ecology, Evolution, Behavior and Systematics; Ecology, Cluster analysi, Socio-ecological system

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	citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).	21
	popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.	Top 10%
	influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).	Top 10%
	impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.	Top 10%