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Modeling adaptation in multi-state resource systems

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  • Baggio, Michele
  • Perrings, Charles

Abstract

A current concern in the economics of natural resources is the role of adaptation in moderating the economic impact of exogenous changes in the resilience of natural resource systems. We develop a bioeconomic model of the exploitation of a renewable resource that can exist in multiple states. We then use this to consider the value of adaptive over non-adaptive policies when there is a change in state, and there are fixed costs of starting or stopping extraction. We take adaptive policies to be those that base extraction on the current state of the system, and the conditioning effect that has on the expected future state of the system. We take non-adaptive policies to be those that base extraction on the long run average state of the system. We find that whether adaptive or non-adaptive policies dominate depends on the fixed costs of starting or stopping extraction. If the fixed costs of closure are very low, non-adaptive policies dominate. However, if the fixed costs of closure are high, adaptive policies are preferred. We use a numerical example based on the Peruvian anchoveta fishery to illustrate the results.

Suggested Citation

  • Baggio, Michele & Perrings, Charles, 2015. "Modeling adaptation in multi-state resource systems," Ecological Economics, Elsevier, vol. 116(C), pages 378-386.
    • Handle: RePEc:eee:ecolec:v:116:y:2015:i:c:p:378-386
    DOI: 10.1016/j.ecolecon.2015.05.016
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    1. Karl-Göran Mäler & Anastasios Xepapadeas & Aart de Zeeuw, 2003. "The Economics of Shallow Lakes," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 26(4), pages 603-624, December.
    2. Pauly, D. & Tsukayama, I. (eds.), 1987. "The Peruvian anchoveta and its upwelling ecosystem: three decades of change," Monographs, The WorldFish Center, number 663, April.
    3. Aguero, M. & Gonzalez, E., 1996. "Managing Transboundary Stocks of Small Pelagic Fish," World Bank - Discussion Papers 329, World Bank.
    4. Marten Scheffer & Steve Carpenter & Jonathan A. Foley & Carl Folke & Brian Walker, 2001. "Catastrophic shifts in ecosystems," Nature, Nature, vol. 413(6856), pages 591-596, October.
    5. Nostbakken, Linda, 2006. "Regime switching in a fishery with stochastic stock and price," Journal of Environmental Economics and Management, Elsevier, vol. 51(2), pages 231-241, March.
    6. Guo, Xin & Miao, Jianjun & Morellec, Erwan, 2005. "Irreversible investment with regime shifts," Journal of Economic Theory, Elsevier, vol. 122(1), pages 37-59, May.
    7. Crépin, Anne-Sophie & Biggs, Reinette & Polasky, Stephen & Troell, Max & de Zeeuw, Aart, 2012. "Regime shifts and management," Ecological Economics, Elsevier, vol. 84(C), pages 15-22.
    8. Hamilton, James D, 1989. "A New Approach to the Economic Analysis of Nonstationary Time Series and the Business Cycle," Econometrica, Econometric Society, vol. 57(2), pages 357-384, March.
    9. Avinash K. Dixit & Robert S. Pindyck, 1994. "Investment under Uncertainty," Economics Books, Princeton University Press, edition 1, number 5474.
    10. Hamilton, James D., 1990. "Analysis of time series subject to changes in regime," Journal of Econometrics, Elsevier, vol. 45(1-2), pages 39-70.
    11. Unknown, 1987. "The Peruvian anchoveta and its upwelling ecosystem: three decades of change," Technical Reports 44683, Worldfish Center.
    12. Stefan Baumgärtner & Sebastian Strunz, 2009. "The economic insurance value of ecosystem resilience," Working Paper Series in Economics 132, University of Lüneburg, Institute of Economics.
    13. Clark, Colin W. & Munro, Gordon R., 1975. "The economics of fishing and modern capital theory: A simplified approach," Journal of Environmental Economics and Management, Elsevier, vol. 2(2), pages 92-106, December.
    14. Fikret Berkes, 2007. "Understanding uncertainty and reducing vulnerability: lessons from resilience thinking," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 41(2), pages 283-295, May.
    15. Charles Perrings, 1998. "Resilience in the Dynamics of Economy-Environment Systems," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 11(3), pages 503-520, April.
    16. Chang-Jin Kim & Charles R. Nelson, 1999. "State-Space Models with Regime Switching: Classical and Gibbs-Sampling Approaches with Applications," MIT Press Books, The MIT Press, edition 1, volume 1, number 0262112388, December.
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    Cited by:

    1. Zhao, Xian & Wang, Siqi & Wang, Xiaoyue & Cai, Kui, 2018. "A multi-state shock model with mutative failure patterns," Reliability Engineering and System Safety, Elsevier, vol. 178(C), pages 1-11.
    2. Eryilmaz, Serkan, 2015. "Assessment of a multi-state system under a shock model," Applied Mathematics and Computation, Elsevier, vol. 269(C), pages 1-8.

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