Environmental Regulation With Innovation And Learning: Rules Versus Discretion
We analyze a model of environmental regulation with learning about environmental damages and endogenous choice of emissions abatement technology by a polluting firm. We compare environmental policy under discretion, in which policy is updated upon learning new information, versus under rules, in which policy is not updated. When investment in abatement technology is made prior to the resolution of uncertainty, neither discretion nor rules with either taxes or standards achieve an efficient solution. When there is little uncertainty, rules are superior to discretion because discretionary policy gives the firm an incentive to distort investment in order to influence future regulation. However, when uncertainty is large, discretion is superior to rules because it allows regulation to incorporate new information. Under discretionary policy, taxes are superior to standards regardless of the relative slopes of marginal costs and marginal damages.
|Date of creation:||2003|
|Contact details of provider:|| Postal: 555 East Wells Street, Suite 1100, Milwaukee, Wisconsin 53202|
Phone: (414) 918-3190
Fax: (414) 276-3349
Web page: http://www.aaea.org
More information through EDIRC
References listed on IDEAS
Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:
- Kolstad, Charles D., 1996. "Learning and Stock Effects in Environmental Regulation: The Case of Greenhouse Gas Emissions," Journal of Environmental Economics and Management, Elsevier, vol. 31(1), pages 1-18, July.
- Karp, Larry & Zhang, Jiangfeng, 2006. "Regulation with anticipated learning about environmental damages," Journal of Environmental Economics and Management, Elsevier, vol. 51(3), pages 259-279, May.
- Tracy R. Lewis, 1996. "Protecting the Environment When Costs and Benefits Are Privately Known," RAND Journal of Economics, The RAND Corporation, vol. 27(4), pages 819-847, Winter.
- Newell, Richard G. & Pizer, William A., 2003.
"Regulating stock externalities under uncertainty,"
Journal of Environmental Economics and Management,
Elsevier, vol. 45(2, Supple), pages 416-432, March.
- Pizer, William & Newell, Richard, 1998. "Regulating Stock Externalities Under Uncertainty," Discussion Papers dp-99-10-rev, Resources For the Future.
- Benford, Frank A., 1998. "On the Dynamics of the Regulation of Pollution: Incentive Compatible Regulation of a Persistent Pollutant," Journal of Environmental Economics and Management, Elsevier, vol. 36(1), pages 1-25, July.
- Pindyck, Robert S., 2000. "Irreversibilities and the timing of environmental policy," Resource and Energy Economics, Elsevier, vol. 22(3), pages 233-259, July.
- Pindyck, Robert S., 1998. "Irreversibilities and the timing of environmental policy," Working papers WP 4047-98., Massachusetts Institute of Technology (MIT), Sloan School of Management.
- Hoel, Michael & Karp, Larry, 2002. "Taxes versus quotas for a stock pollutant," Resource and Energy Economics, Elsevier, vol. 24(4), pages 367-384, November.
- Hoel, Michael & Karp, Larry, 2001. "Taxes versus Quotas for a Stock Pollutant," Department of Agricultural & Resource Economics, UC Berkeley, Working Paper Series qt5fx9p7kf, Department of Agricultural & Resource Economics, UC Berkeley.
- Fischer, Carolyn & Parry, Ian W. H. & Pizer, William A., 2003. "Instrument choice for environmental protection when technological innovation is endogenous," Journal of Environmental Economics and Management, Elsevier, vol. 45(3), pages 523-545, May.
- Parry, Ian & Pizer, William & Fischer, Carolyn, 1998. "Instrument Choice for Environmental Protection When Technological Innovation is Endogenous," Discussion Papers dp-99-04, Resources For the Future.
- Moledina, Amyaz A. & Coggins, Jay S. & Polasky, Stephen & Costello, Christopher, 2003. "Dynamic environmental policy with strategic firms: prices versus quantities," Journal of Environmental Economics and Management, Elsevier, vol. 45(2, Supple), pages 356-376, March.
- Milliman, Scott R. & Prince, Raymond, 1989. "Firm incentives to promote technological change in pollution control," Journal of Environmental Economics and Management, Elsevier, vol. 17(3), pages 247-265, November.
- Kydland, Finn E & Prescott, Edward C, 1977. "Rules Rather Than Discretion: The Inconsistency of Optimal Plans," Journal of Political Economy, University of Chicago Press, vol. 85(3), pages 473-491, June.
- Kelly, David L. & Kolstad, Charles D., 1999. "Bayesian learning, growth, and pollution," Journal of Economic Dynamics and Control, Elsevier, vol. 23(4), pages 491-518, February.
- Ulph, Alistair & Ulph, David, 1997. "Global Warming, Irreversibility and Learning," Economic Journal, Royal Economic Society, vol. 107(442), pages 636-650, May. Full references (including those not matched with items on IDEAS)
When requesting a correction, please mention this item's handle: RePEc:ags:aaea03:21911. See general information about how to correct material in RePEc.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (AgEcon Search)
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 references are entirely missing, you can add them using this form.
If the full references list an item that is present in RePEc, but the system did not link 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 profile, as there may be some citations waiting for confirmation.
Please note that corrections may take a couple of weeks to filter through the various RePEc services.