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Pollution control with uncertain stock dynamics: When, and how, to be precautious

  • Athanassoglou, Stergios
  • Xepapadeas, Anastasios

The precautionary principle (PP) applied to environmental policy stipulates that, in the presence of uncertainty, society must take robust preventive action to guard against worst-case outcomes. It follows that the higher the degree of uncertainty, the more aggressive this preventive action should be. This normative maxim is explored in the case of a stylized dynamic model of pollution control with uncertain (in the Knightian sense) stock dynamics, using the robust control framework of Hansen and Sargent [12]. Optimal investment in damage control is found to be increasing in the degree of uncertainty, thus confirming the conventional PP wisdom. Optimal mitigation decisions, however, need not always comport with the PP. In particular, when damage-control investment is both sufficiently cheap and sensitive to changes in uncertainty, damage-control investment and mitigation may act as substitutes and a PP with respect to the latter can be unambiguously irrational. The theoretical results are applied to a calibrated linear-quadratic model of climate change. The analysis suggests that a reversal of the PP with respect to mitigation, while theoretically possible, is very unlikely.

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Article provided by Elsevier in its journal Journal of Environmental Economics and Management.

Volume (Year): 63 (2012)
Issue (Month): 3 ()
Pages: 304-320

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Handle: RePEc:eee:jeeman:v:63:y:2012:i:3:p:304-320
DOI: 10.1016/j.jeem.2011.11.001
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  1. 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.
  2. Klibanoff, Peter & Marinacci, Massimo & Mukerji, Sujoy, 2009. "Recursive smooth ambiguity preferences," Journal of Economic Theory, Elsevier, vol. 144(3), pages 930-976, May.
  3. Fidel Gonzalez, 2008. "Precautionary Principle and Robustness for a Stock Pollutant with Multiplicative Risk," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 41(1), pages 25-46, September.
  4. Martin L. Weitzman, 2010. "What Is The "Damages Function" For Global Warming — And What Difference Might It Make?," Climate Change Economics (CCE), World Scientific Publishing Co. Pte. Ltd., vol. 1(01), pages 57-69.
  5. TREICH Nicolas, 2008. "The value of a Statistical Life under Ambiguity Aversion," LERNA Working Papers 08.05.249, LERNA, University of Toulouse.
  6. Hoel, Michael & Karp, Larry, 2000. "Taxes and Quotas for a Stock Pollutant with Multiplicative Uncertainty," Department of Agricultural & Resource Economics, UC Berkeley, Working Paper Series qt9v86p5s7, Department of Agricultural & Resource Economics, UC Berkeley.
  7. Vardas, Giannis & XEPAPADEAS, Anastasios, 2008. "Model Uncertainty, Ambiguity and the Precautionary Principle: Implications for Biodiversity Management," MPRA Paper 10236, University Library of Munich, Germany.
  8. Thomas J. Sargent & LarsPeter Hansen, 2001. "Robust Control and Model Uncertainty," American Economic Review, American Economic Association, vol. 91(2), pages 60-66, May.
  9. Michael Funke & Michael Paetz, 2007. "Environmental Policy Under Model Uncertainty: A Robust Optimal Control Approach," CESifo Working Paper Series 1938, CESifo Group Munich.
  10. Zengjing Chen & Larry G. Epstein, 2000. "Ambiguity, risk and asset returns in continuous time," RCER Working Papers 474, University of Rochester - Center for Economic Research (RCER).
  11. 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.
  12. Hansen, Lars Peter & Sargent, Thomas J. & Turmuhambetova, Gauhar & Williams, Noah, 2006. "Robust control and model misspecification," Journal of Economic Theory, Elsevier, vol. 128(1), pages 45-90, May.
  13. Larry G. Epstein & Martin Schneider, 2001. "Recursive Multiple-Priors," RCER Working Papers 485, University of Rochester - Center for Economic Research (RCER).
  14. Sterner, Thomas & Persson, U. Martin, 2007. "An Even Sterner Review: Introducing Relative Prices into the Discounting Debate," Discussion Papers dp-07-37, Resources For the Future.
  15. Hansen, Lars Peter & Sargent, Thomas J., 2007. "Recursive robust estimation and control without commitment," Journal of Economic Theory, Elsevier, vol. 136(1), pages 1-27, September.
  16. Takao Asano, 2010. "Precautionary Principle and the Optimal Timing of Environmental Policy Under Ambiguity," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 47(2), pages 173-196, October.
  17. Itzhak Gilboa & David Schmeidler, 1989. "Maxmin Expected Utility with Non-Unique Prior," Post-Print hal-00753237, HAL.
  18. Catarina Roseta-Palma & Anastasios Xepapadeas, 2004. "Robust Control in Water Management," Journal of Risk and Uncertainty, Springer, vol. 29(1), pages 21-34, 07.
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