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Fixed Instruments to Cope with Stock Externalities An Experimental Evaluation

  • Gastón Giordana

    (LAMETA, Université Montpellier I)

  • Marc Willinger

    (LAMETA, Université Montpellier I)

We evaluate the effectiveness of non optimal and temporally inconsistent incentive policies for regulating the exploitation of a renewable common-pool resource. The corresponding game is an N-person discrete-time deterministic dynamic game of T periods fixed duration. Three policy instruments with parameters that remain constant for the whole horizon are evaluated: a pigouvian tax (flat tax), an ambient tax (ambient flat tax) and an instrument combining the two previous ones (mixed flat instrument). We test in the lab the predictions of the model solved for 3 distinct behavioural assumptions: (a) sub-game perfection, (b) myopic behaviour, and (c) joint payoff maximization. We find that subjects behave myopically in the unregulated situation, which agrees with previous results in the literature. Conditional on predictions, the mixed flat instrument and the flat tax are the most effective policies in approaching the optimum extraction path. However, in absolute terms the ambient flat tax and the mixed flat instrument curb most significantly the mean extraction path towards the optimum path. Paradoxically, these instruments are the less efficient ones.

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Paper provided by Fondazione Eni Enrico Mattei in its series Working Papers with number 2007.72.

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Date of creation: Jul 2007
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Handle: RePEc:fem:femwpa:2007.72
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  1. Urs Fischbacher, 2007. "z-Tree: Zurich toolbox for ready-made economic experiments," Experimental Economics, Springer, vol. 10(2), pages 171-178, June.
  2. Millock, Katrin & Sunding, David & Zilberman, David, 2002. "Regulating Pollution with Endogenous Monitoring," Journal of Environmental Economics and Management, Elsevier, vol. 44(2), pages 221-241, September.
  3. Segerson, Kathleen, 1988. "Uncertainty and incentives for nonpoint pollution control," Journal of Environmental Economics and Management, Elsevier, vol. 15(1), pages 87-98, March.
  4. Levhari, David & Michener, Ron & Mirman, Leonard J, 1981. "Dynamic Programming Models of Fishing: Competition," American Economic Review, American Economic Association, vol. 71(4), pages 649-61, September.
  5. Polinsky, Mitchell & Shavell, Steven, 1979. "The Optimal Tradeoff between the Probability and Magnitude of Fines," American Economic Review, American Economic Association, vol. 69(5), pages 880-91, December.
  6. Provencher Bill & Burt Oscar, 1993. "The Externalities Associated with the Common Property Exploitation of Groundwater," Journal of Environmental Economics and Management, Elsevier, vol. 24(2), pages 139-158, March.
  7. Reinganum, Jennifer F & Stokey, Nancy L, 1985. "Oligopoly Extraction of a Common Property Natural Resource: The Importance of the Period of Commitment in Dynamic Games," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 26(1), pages 161-73, February.
  8. Kritikos, Alexander S., 2004. "A penalty system to enforce policy measures under incomplete information," International Review of Law and Economics, Elsevier, vol. 24(3), pages 385-403, September.
  9. Xepapadeas, A. P., 1992. "Environmental policy design and dynamic nonpoint-source pollution," Journal of Environmental Economics and Management, Elsevier, vol. 23(1), pages 22-39, July.
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