IDEAS home Printed from https://ideas.repec.org/p/aue/wpaper/1332.html
   My bibliography  Save this paper

Climate Change Policy under Spatially Structured Ambiguity: Hot Spots and the Precautionary Principle

Author

Listed:
  • Athanasios Yannacopoulos
  • Anastasios Xepapadeas

Abstract

In view of the ambiguities and the deep uncertainty associated with climate change, we study the features of climate change policies that account for spatially structured ambiguity. Ambiguity related to the evolution of the natural system is introduced into a coupled economy-climate model with explicit spatial structure due to heat transport across the globe. We seek to answer questions about how spatial robust regulation regarding climate policies can be formulated; what the potential links of this regulation to the weak and strong version of the precautionary principle (PP) are; and how insights about whether it is costly to follow a PP can be obtained. We also study the emergence of hot spots, which are locations where local deep uncertainty may cause robust regulation to break down for the whole spatial domain, or the weak PP to be costly.

Suggested Citation

  • Athanasios Yannacopoulos & Anastasios Xepapadeas, 2013. "Climate Change Policy under Spatially Structured Ambiguity: Hot Spots and the Precautionary Principle," DEOS Working Papers 1332, Athens University of Economics and Business.
    • Handle: RePEc:aue:wpaper:1332
    as

    Download full text from publisher

    File URL: http://wpa.deos.aueb.gr/docs/Climate.Change.Policy..pdf
    File Function: First version
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Peter Klibanoff & Massimo Marinacci & Sujoy Mukerji, 2005. "A Smooth Model of Decision Making under Ambiguity," Econometrica, Econometric Society, vol. 73(6), pages 1849-1892, November.
    2. Millner, Antony & Dietz, Simon & Heal, Geoffrey, 2010. "Ambiguity and climate policy," LSE Research Online Documents on Economics 37595, London School of Economics and Political Science, LSE Library.
    3. Athanassoglou, Stergios & Xepapadeas, Anastasios, 2012. "Pollution control with uncertain stock dynamics: When, and how, to be precautious," Journal of Environmental Economics and Management, Elsevier, vol. 63(3), pages 304-320.
    4. Lars Peter Hansen & Thomas J Sargent, 2014. "Three Types of Ambiguity," World Scientific Book Chapters, in: UNCERTAINTY WITHIN ECONOMIC MODELS, chapter 11, pages 379-430, World Scientific Publishing Co. Pte. Ltd..
    5. William A. Brock & Anastasios Xepapadeas & Athanasios N. Yannacopoulos, 2014. "Robust Control of a Spatially Distributed Commercial Fishery," Dynamic Modeling and Econometrics in Economics and Finance, in: Elke Moser & Willi Semmler & Gernot Tragler & Vladimir M. Veliov (ed.), Dynamic Optimization in Environmental Economics, edition 127, pages 215-241, Springer.
    6. Weisbach, David A., 2012. "Should Environmental Taxes Be Precautionary?," National Tax Journal, National Tax Association;National Tax Journal, vol. 65(2), pages 453-473, June.
    7. W. Brock & A. Xepapadeas & A. Yannacopoulos, 2014. "Robust Control and Hot Spots in Spatiotemporal Economic Systems," Dynamic Games and Applications, Springer, vol. 4(3), pages 257-289, September.
    8. Gilboa, Itzhak & Schmeidler, David, 1989. "Maxmin expected utility with non-unique prior," Journal of Mathematical Economics, Elsevier, vol. 18(2), pages 141-153, April.
    9. Martin L. Weitzman, 2009. "On Modeling and Interpreting the Economics of Catastrophic Climate Change," The Review of Economics and Statistics, MIT Press, vol. 91(1), pages 1-19, February.
    10. Hansen, Lars Peter & Sargent, Thomas J., 2003. "Robust control of forward-looking models," Journal of Monetary Economics, Elsevier, vol. 50(3), pages 581-604, April.
    11. -, 2009. "The economics of climate change," Sede Subregional de la CEPAL para el Caribe (Estudios e Investigaciones) 38679, Naciones Unidas Comisión Económica para América Latina y el Caribe (CEPAL).
    12. Malte Meinshausen & Nicolai Meinshausen & William Hare & Sarah C. B. Raper & Katja Frieler & Reto Knutti & David J. Frame & Myles R. Allen, 2009. "Greenhouse-gas emission targets for limiting global warming to 2 °C," Nature, Nature, vol. 458(7242), pages 1158-1162, April.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. W.A. Brock & A. Xepapadeas & A.N. Yannacopoulos, 2014. "Optimal Control in Space and Time and the Management of Environmental Resources," Annual Review of Resource Economics, Annual Reviews, vol. 6(1), pages 33-68, October.
    2. E. V. Petracou & A. Xepapadeas & A. N. Yannacopoulos, 2017. "Climate Change and Environmentally Induced Migration Across Regions: Cooperative and Non-cooperative Solutions," Homo Oeconomicus: Journal of Behavioral and Institutional Economics, Springer, vol. 34(2), pages 137-164, November.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Anastasios Xepapadeas & Athanasios Yannacopoulos, 2018. "Spatially Structured Deep Uncertainty, Robust Control, and Climate Change Policies," DEOS Working Papers 1807, Athens University of Economics and Business.
    2. Brock, W. A. & Xepapadeas, A., 2015. "Modeling Coupled Climate, Ecosystems, and Economic Systems," Climate Change and Sustainable Development 206837, Fondazione Eni Enrico Mattei (FEEM).
    3. Loïc Berger & Massimo Marinacci, 2020. "Model Uncertainty in Climate Change Economics: A Review and Proposed Framework for Future Research," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 77(3), pages 475-501, November.
    4. Loic Berger & Massimo Marinacci, 2017. "Model Uncertainty in Climate Change Economics," Working Papers 616, IGIER (Innocenzo Gasparini Institute for Economic Research), Bocconi University.
    5. W. Botzen & Jeroen Bergh, 2014. "Specifications of Social Welfare in Economic Studies of Climate Policy: Overview of Criteria and Related Policy Insights," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 58(1), pages 1-33, May.
    6. Peter von zur Muehlen, 2022. "Prices and Taxes in a Ramsey Climate Policy Model under Heterogeneous Beliefs and Ambiguity," Economies, MDPI, vol. 10(10), pages 1-56, October.
    7. Stergios Athanassoglou & Anastasios Xepapadeas, 2011. "Pollution control: when, and how, to be precautious," DEOS Working Papers 1112, Athens University of Economics and Business.
    8. Antony Millner & Simon Dietz & Geoffrey Heal, 2013. "Scientific Ambiguity and Climate Policy," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 55(1), pages 21-46, May.
    9. Iverson, Terrence, 2012. "Communicating Trade-offs amid Controversial Science: Decision Support for Climate Policy," Ecological Economics, Elsevier, vol. 77(C), pages 74-90.
    10. Anastasios Xepapadeas, 2023. "Uncertainty and Climate Change: The IPCC approach vs Decision Theory," DEOS Working Papers 2315, Athens University of Economics and Business.
    11. Stergios Athanassoglou & Valentina Bosetti, 2015. "Setting Environmental Policy When Experts Disagree," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 61(4), pages 497-516, August.
    12. Dietz, Simon, 2012. "The treatment of risk and uncertainty in the US social cost of carbon for regulatory impact analysis," Economics - The Open-Access, Open-Assessment E-Journal (2007-2020), Kiel Institute for the World Economy (IfW Kiel), vol. 6, pages 1-12.
    13. Agliardi, Elettra & Xepapadeas, Anastasios, 2022. "Temperature targets, deep uncertainty and extreme events in the design of optimal climate policy," Journal of Economic Dynamics and Control, Elsevier, vol. 139(C).
    14. van der Ploeg, Frederick & Rezai, Armon, 2019. "The agnostic's response to climate deniers: Price carbon!," European Economic Review, Elsevier, vol. 111(C), pages 70-84.
    15. Chen, Yu-Fu & Funke, Michael & Glanemann, Nicole, 2011. "Dark Clouds or Silver Linings? Knightian Uncertainty and Climate Change," SIRE Discussion Papers 2011-64, Scottish Institute for Research in Economics (SIRE).
    16. Millner, Antony, 2013. "On welfare frameworks and catastrophic climate risks," Journal of Environmental Economics and Management, Elsevier, vol. 65(2), pages 310-325.
    17. 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.
    18. Howard Kunreuther & Geoffrey Heal & Myles Allen & Ottmar Edenhofer & Christopher B. Field & Gary Yohe, 2013. "Risk management and climate change," Nature Climate Change, Nature, vol. 3(5), pages 447-450, May.
    19. Athanassoglou, Stergios & Xepapadeas, Anastasios, 2012. "Pollution control with uncertain stock dynamics: When, and how, to be precautious," Journal of Environmental Economics and Management, Elsevier, vol. 63(3), pages 304-320.
    20. Chambers, Robert G. & Melkonyan, Tigran, 2017. "Ambiguity, reasoned determination, and climate-change policy," Journal of Environmental Economics and Management, Elsevier, vol. 81(C), pages 74-92.

    More about this item

    Keywords

    Ambiguity; Climate change; space; maxmin expected utility; robust control regulation; hot spots; precautionary principle;
    All these keywords.

    JEL classification:

    • Q54 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics - - - Climate; Natural Disasters and their Management; Global Warming
    • Q58 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics - - - Environmental Economics: Government Policy
    • D81 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Criteria for Decision-Making under Risk and Uncertainty
    • R11 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General Regional Economics - - - Regional Economic Activity: Growth, Development, Environmental Issues, and Changes

    NEP fields

    This paper has been announced in the following NEP Reports:

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:aue:wpaper:1332. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Ekaterini Glynou (email available below). General contact details of provider: https://edirc.repec.org/data/diauegr.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.