A quantitative approach to determine and evaluate the indicated level and nature of global ecological sustainability. Issue 2 (2nd February 2015)

• Record Type: Journal Article
• Authors: Phillips, Jason
• Is Part Of: Area. Volume 47:Issue 2(2015:Jun.)
• Page Start: 197
• Page End: 210
• Publication Date: 2015-02-02
• Subjects: Geography -- Periodicals; 910
• DOI: 10.1111/area.12174
• Languages: English
• ISSNs: 0004-0894

Abstract

<abstract abstract-type="main"> <title> <x xml:space="preserve">Abstract</x> </title> <p>The question of global sustainability is concerned with the nature of the environment–human relationship. However, evaluations of global sustainability have been based predominantly on subjective or professional judgement. In this paper, a mathematical model is applied to the data of the 2004 Environmental Vulnerability Index (EVI) conducted by SOPAC to obtain indicative weighted levels of ecological sustainability (S<sub>Ec</sub>) at the global level. The paper uses and evaluates the results obtained within the context of four influencing factors: population size, population density, GDP and Human Development Index (HDI). The paper also determines whether there is a statistical relationship between S<sub>Ec</sub>‐levels and each of the influencing factors. The results highlight a significant quantitative and statistical relationship between population density and obtained levels of S<sub>Ec</sub>, as well as a relationship between GDP and S<sub>Ec</sub>. Furthermore, while HDI and S<sub>Ec</sub> produced a non‐statistical curvilinear relationship, it is suggested that this may be indicative of a 'tipping point' scenario as countries develop socio‐economically to the detriment of the environment and consequently sustainability. Based on the mean average of obtained weighted values of global S<sub>Ec</sub>, the indicated global S<sub>Ec</sub>‐value is in the range of 0.261–0.299 with an error of <italic>±</italic>0.060–0.094, indicating weak sustainability, depending on the inclusion of the most significant or all of the influencing factors evaluated.</p> </abstract>