Turning the curve: A critical review of Kuznets approaches
The Environmental Kuznets Curve (EKC) and related approaches to human-environment problems (e.g., Forest Transition Theory) generally posit an inverted U-shaped relationship between environmental degradation and economic development, frequently utilizing a cross-national approach. After numerous yea...
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Veröffentlicht in: | Applied geography (Sevenoaks) 2012, Vol.32 (1), p.3-11 |
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Format: | Artikel |
Sprache: | eng |
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Zusammenfassung: | The Environmental Kuznets Curve (EKC) and related approaches to human-environment problems (e.g., Forest Transition Theory) generally posit an inverted U-shaped relationship between environmental degradation and economic development, frequently utilizing a cross-national approach. After numerous years of research, the overall empirical evidence remains equivocal: case studies that appear to support key EKC hypotheses are contradicted by others that fail to demonstrate environmental recovery following increasing indices of economic development. This paper undertakes a critical review of EKC approaches, identifying their collective contributions and remaining gaps, and integrating insights from two case study regions in Mexico and Brazil relevant to a forest transition. The larger aim is to identify the arenas that hold the greatest promise for a re-conceptualization of EKC-related approaches to move from proximate understandings of environmental degradation/recovery patterns, to deeper explanations of the processes and institutions structuring those patterns across spatio-temporal scales. We argue that such a reworking is critical to comparative scientific analyses of dynamic and coupled human-environment systems, and for policy prescriptions targeting applied geographical issues and a transition towards sustainability at a variety of scales.
►EKC posits environmental decline in an inverted U-relation to economic development. ►Literature and case studies (Mexico, Brazil) illustrate empirical critiques of EKC. ►Critiques include: scalar dynamics, choice of indicators, causal explanations, etc. |
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ISSN: | 0143-6228 1873-7730 |
DOI: | 10.1016/j.apgeog.2010.07.004 |