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On Optimal Pollution Control Policies

Author

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  • Vijay S. Bawa

    (Bell Telephone Laboratories, Inc.)

Abstract

In recent years, on the basis of static allocative efficiency properties economists have advocated the use of taxation as an economically efficient means of control to implement environmental protection policy. Environmental problems, however, do not always develop smoothly and gradually but are often characterized by infrequent serious crises that require rapid, but temporary, changes in the controlling mechanism. Tax policy is inappropriate for such crises, but direct controls can be implemented rapidly to handle such emergencies. Using simple stochastic models to represent the physical environment, we show that the pollution control policy which minimizes total social costs (stationary social costs plus short-term emergency costs) is a mixed policy in which taxes are used to control the long-run equilibrium level of pollution and direct controls are used in short-term emergencies to maintain the pollution at satisfactory level. We also show that although tax policy alone is not optimal, in some special circumstances, direct controls alone may be the optimal way to control pollution.

Suggested Citation

  • Vijay S. Bawa, 1975. "On Optimal Pollution Control Policies," Management Science, INFORMS, vol. 21(12), pages 1397-1404, August.
  • Handle: RePEc:inm:ormnsc:v:21:y:1975:i:12:p:1397-1404
    DOI: 10.1287/mnsc.21.12.1397
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    Cited by:

    1. Boucekkine, Raouf & Fabbri, Giorgio & Federico, Salvatore & Gozzi, Fausto, 2021. "From firm to global-level pollution control: The case of transboundary pollution," European Journal of Operational Research, Elsevier, vol. 290(1), pages 331-345.
    2. Boucekkine, Raouf & Ruan, Weihua & Zou, Benteng, 2023. "The irreversible pollution game," Journal of Environmental Economics and Management, Elsevier, vol. 120(C).
    3. Coria, Jessica & Bonilla, Jorge & Grundström, Maria & Pleijel, Håkan, 2015. "Air pollution dynamics and the need for temporally differentiated road pricing," Transportation Research Part A: Policy and Practice, Elsevier, vol. 75(C), pages 178-195.
    4. Torre, Davide La & Liuzzi, Danilo & Marsiglio, Simone, 2021. "Transboundary pollution externalities: Think globally, act locally?," Journal of Mathematical Economics, Elsevier, vol. 96(C).
    5. Davide Torre & Danilo Liuzzi & Simone Marsiglio, 2017. "Pollution Control Under Uncertainty and Sustainability Concern," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 67(4), pages 885-903, August.
    6. Coria, Jessica, 2011. "Environmental crises' regulations, tradable permits and the adoption of new technologies," Resource and Energy Economics, Elsevier, vol. 33(3), pages 455-476, September.
    7. Coria, Jessica, 2009. "Unintended Impacts of Multiple Instruments on Technology Adoption," RFF Working Paper Series dp-09-06-efd, Resources for the Future.
    8. Cooper, W. W. & Hemphill, H. & Huang, Z. & Li, S. & Lelas, V. & Sullivan, D. W., 1997. "Survey of mathematical programming models in air pollution management," European Journal of Operational Research, Elsevier, vol. 96(1), pages 1-35, January.
    9. Boucekkine, Raouf & Fabbri, Giorgio & Federico, Salvatore & Gozzi, Fausto, 2021. "From firm to global-level pollution control: The case of transboundary pollution," European Journal of Operational Research, Elsevier, vol. 290(1), pages 331-345.

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