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Coping with Multiple Catastrophic Threats

Author

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  • Yacov Tsur

    (The Hebrew University of Jerusalem)

  • Amos Zemel

    (Ben Gurion University of the Negev)

Abstract

We study intertemporal policies for dealing with multiple catastrophic threats with endogenous hazards, allowing, inter alia, for gradual mitigation efforts that accumulate to reduce occurrence risks. The long-run properties of the optimal policies are characterized in terms of the key parameters (damage, hazard sensitivity and natural degradation rate) associated with each type of catastrophic threat. Effects of background threats on the optimal response to a potential catastrophe are illustrated numerically.

Suggested Citation

  • Yacov Tsur & Amos Zemel, 2017. "Coping with Multiple Catastrophic Threats," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 68(1), pages 175-196, September.
  • Handle: RePEc:kap:enreec:v:68:y:2017:i:1:d:10.1007_s10640-017-0144-5
    DOI: 10.1007/s10640-017-0144-5
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    References listed on IDEAS

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    1. Ian W. R. Martin & Robert S. Pindyck, 2015. "Averting Catastrophes: The Strange Economics of Scylla and Charybdis," American Economic Review, American Economic Association, vol. 105(10), pages 2947-2985, October.
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    3. Polasky, Stephen & de Zeeuw, Aart & Wagener, Florian, 2011. "Optimal management with potential regime shifts," Journal of Environmental Economics and Management, Elsevier, vol. 62(2), pages 229-240, September.
    4. Tsur, Yacov & Zemel, Amos, 1996. "Accounting for global warming risks: Resource management under event uncertainty," Journal of Economic Dynamics and Control, Elsevier, vol. 20(6-7), pages 1289-1305.
    5. Naevdal, Eric, 2006. "Dynamic optimisation in the presence of threshold effects when the location of the threshold is uncertain - with an application to a possible disintegration of the Western Antarctic Ice Sheet," Journal of Economic Dynamics and Control, Elsevier, vol. 30(7), pages 1131-1158, July.
    6. Tsur, Yacov & Zemel, Amos, 1998. "Pollution control in an uncertain environment," Journal of Economic Dynamics and Control, Elsevier, vol. 22(6), pages 967-975, June.
    7. Yongyang Cai & Timothy M. Lenton & Thomas S. Lontzek, 2016. "Risk of multiple interacting tipping points should encourage rapid CO2 emission reduction," Nature Climate Change, Nature, vol. 6(5), pages 520-525, May.
    8. Tsur, Yacov & Zemel, Amos, 2001. "The infinite horizon dynamic optimization problem revisited: A simple method to determine equilibrium states," European Journal of Operational Research, Elsevier, vol. 131(3), pages 482-490, June.
    9. Reed, William J., 1984. "The effects of the risk of fire on the optimal rotation of a forest," Journal of Environmental Economics and Management, Elsevier, vol. 11(2), pages 180-190, June.
    10. Frederick van der Ploeg, 2016. "Reacting to multiple tipping points," Nature Climate Change, Nature, vol. 6(5), pages 442-443, May.
    11. Yacov Tsur & Amos Zemel, 2017. "Steady state properties of multi-state economic models," Canadian Journal of Economics, Canadian Economics Association, vol. 50(2), pages 506-521, May.
    12. Tsur, Yacov & Zemel, Amos, 1994. "Endangered Species and Natural Resource Exploitation: Extinction vs. Coexistence," Bulletins 7498, University of Minnesota, Economic Development Center.
    13. Stern,Nicholas, 2007. "The Economics of Climate Change," Cambridge Books, Cambridge University Press, number 9780521700801.
    14. Gjerde, Jon & Grepperud, Sverre & Kverndokk, Snorre, 1999. "Optimal climate policy under the possibility of a catastrophe," Resource and Energy Economics, Elsevier, vol. 21(3-4), pages 289-317, August.
    15. Yin, Runsheng & Newman, David H., 1996. "The Effect of Catastrophic Risk on Forest Investment Decisions," Journal of Environmental Economics and Management, Elsevier, vol. 31(2), pages 186-197, September.
    16. Long, Ngo Van, 1975. "Resource extraction under the uncertainty about possible nationalization," Journal of Economic Theory, Elsevier, vol. 10(1), pages 42-53, February.
    17. Clarke, Harry R. & Reed, William J., 1994. "Consumption/pollution tradeoffs in an environment vulnerable to pollution-related catastrophic collapse," Journal of Economic Dynamics and Control, Elsevier, vol. 18(5), pages 991-1010, September.
    18. Cropper, M. L., 1976. "Regulating activities with catastrophic environmental effects," Journal of Environmental Economics and Management, Elsevier, vol. 3(1), pages 1-15, June.
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    Cited by:

    1. Aurland-Bredesen , Kine Josefine, 2017. "Averting catastrophes in a more complex world," Working Paper Series 06-2017, Norwegian University of Life Sciences, School of Economics and Business.
    2. Dominika Czyz & Karolina Safarzynska, 2023. "Catastrophic Damages and the Optimal Carbon Tax Under Loss Aversion," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 85(2), pages 303-340, June.
    3. Gabel Taggart, 2023. "Taking stock of systems for organizing existential and global catastrophic risks: Implications for policy," Global Policy, London School of Economics and Political Science, vol. 14(3), pages 489-499, June.
    4. Encarna Esteban & Elena Calvo & Jose Albiac, 2021. "Ecosystem Shifts: Implications for Groundwater Management," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 79(3), pages 483-510, July.
    5. Kine Josefine Aurland-Bredesen, 2020. "The Benefit-Cost Ratio as a Decision Criteria When Managing Catastrophes," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 77(2), pages 345-363, October.
    6. Gerard Meijden & Frederick Ploeg & Cees Withagen, 2017. "Frontiers of Climate Change Economics," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 68(1), pages 1-14, September.

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    More about this item

    Keywords

    Multiple catastrophes; Intertemporal policy; Endogenous hazards; Long-run properties;
    All these keywords.

    JEL classification:

    • C61 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Optimization Techniques; Programming Models; Dynamic Analysis
    • Q54 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics - - - Climate; Natural Disasters and their Management; Global Warming

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