This paper provides an interpretive overview on the economics of resilience with special reference to social–ecological systems. We address the basic sciences of regime shifts and resilience in different settings linked to empirical cases and review the economic models related to these aspects. In particular we discuss models to assess market outcomes when thresholds exist and are known and particular characteristics of such systems when they are optimally managed. We also examine multiple aspects of uncertainty including unknown but learnable thresholds and systems where either the threshold or the stock dynamics are uncertain because they change in a stochastic way. Moreover, we discuss resilience in relation to measurement and valuation using approaches that focus on the role of biodiversity for resilience, the insurance value of resilience and the value of resilience as a stock that influences social welfare. Finally, we discuss issues related to practical resilience management and identify knowledge gaps that future research efforts could address.
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30 August 2018
Research Article|
August 30 2018
The Economics of Resilience Available to Purchase
Chuan-Zhong Li;
Chuan-Zhong Li
Department of Economics,
Uppsala University
, Sweden
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Anne-Sophie Crépin;
Anne-Sophie Crépin
The Beijer Institute,
Royal Swedish Academy of Sciences
, Stockholm, Sweden
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Carl Folke
Carl Folke
Stockholm Resilience Centre
, Stockholm University, Sweden
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We would like to thank the two anonymous reviewers for their valuable comments and suggestions that greatly contributed to improving the final version of this paper.
Online ISSN: 1932-1473
Print ISSN: 1932-1465
© 2018 C.-Z. Li, A.-S. Crépin and C. Folke
2018
C.-Z. Li, A.-S. Crépin and C. Folke
Licensed re-use rights only
International Review of Environmental and Resource Economics (2018) 11 (4): 309–353.
Citation
Li C, Crépin A, Folke C (2018), "The Economics of Resilience". International Review of Environmental and Resource Economics, Vol. 11 No. 4 pp. 309–353, doi: https://doi.org/10.1561/101.00000096
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