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Environmental Modelling & Software
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Environmental Modelling & Software
Article . 2015 . Peer-reviewed
License: Elsevier TDM
Data sources: Crossref
DBLP
Article . 2015
Data sources: DBLP
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A circular economy model of economic growth

Authors: Donald A. R. George; Brian Chi-ang Lin; Yunmin Chen;

A circular economy model of economic growth

Abstract

The main purpose of this paper is to present a theoretical model incorporating the concept of circular economic activities. We construct a circular economy model with two types of economic resources, namely, a polluting input and a recyclable input. Overall, our results indicate that the factors affecting economic growth include the marginal product of the recyclable input, the recycling ratio, the cost of using the environmentally polluting input and the level of pollution arising from the employment of the polluting input. Our analysis also shows that, contrary to the Environmental Kuznets Curve (EKC), environmental quality cannot be maintained or improved via economic growth. Instead, the improvement in environmental quality, as measured by a reduction in pollution, can only be achieved by an increase in the environmental self-renewal rate or the recycling ratio. A closed circular economy model is presented.Environmental quality cannot be maintained or improved via economic growth.The improvement in environmental quality can be achieved by an increase in the recycling ratio.

Countries
United Kingdom, Taiwan
Keywords

Circular economy, circular economy, environmental Kuznets curve, recycling ratio, sustainability, economic growth, self-renewal rate, Sustainability, Environmental Kuznets Curve, Self-renewal rate, Economic growth, Recycling ratio

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    selected citations
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    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).
    179
    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 1%
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Top 10%
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selected citations
These citations are derived from selected sources.
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).
BIP!Citations provided by BIP!
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.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
179
Top 1%
Top 1%
Top 10%
Green
hybrid