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来源类型Article
规范类型其他
DOI10.1016/j.ecolecon.2013.03.018
Quantifying the sustainability of economic resource networks: An ecological information-based approach.
Rovenskaya E; Yarime M; Kraines S
发表日期2013
出处Ecological Economics 90: 177-186
出版年2013
语种英语
摘要Sustainability as a concept has multiple disparate perspectives stemming from different related disciplines which either maintain ambiguous interpretations or concentrate on metrics pertaining to single aspects of a system. Given the embedded multi-dimensionality of sustainability, systemic approaches are needed that can cope with interactions of different dimensions. Past efforts for measuring sustainability holistically have taken an accounting approach based on the availability and efficiency of resource flows. However, an accounting approach fails to fully incorporate the intensive parameters pertaining to sustainability. An ecological information-based approach is a promising holistic measurement which incorporates both intensive and extensive dimensions of sustainability. This paper evaluates this approach by applying it to six economic resource trade flow networks: virtual water, oil, world commodity, OECD+BRIC commodity, OECD+BRIC foreign direct investment, and iron and steel. From the perspective of biomimicry, it appears that these networks can achieve higher levels of efficiency without weakening their robustness to resource delivery. The trends of measured efficiency and redundancy of the studied networks are demonstrated to be useful in reflecting long term changes while the trend in robustness levels were found to exhibit similar behavior to an ecosystem in its early phase of development.
主题Advanced Systems Analysis (ASA)
关键词Economic resource networks Ecological information theory Indicators Robustness Sustainability
URLhttp://pure.iiasa.ac.at/id/eprint/10453/
来源智库International Institute for Applied Systems Analysis (Austria)
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资源类型智库出版物
条目标识符http://119.78.100.153/handle/2XGU8XDN/129769
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Rovenskaya E,Yarime M,Kraines S. Quantifying the sustainability of economic resource networks: An ecological information-based approach.. 2013.
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