Entire Book - Southwest Consortium for Environmental Research ...
Entire Book - Southwest Consortium for Environmental Research ...
Entire Book - Southwest Consortium for Environmental Research ...
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Introduction<br />
installing scrubbers, switching fuels, changing practices or procedures<br />
to improve energy efficiency, and/or buying allowances<br />
(EPA 2002a). The program’s flexibility also significantly<br />
reduced the cost of achieving these emission reductions when<br />
compared to the cost of a technological mandate or fixed emission<br />
rate. Carlson, et al. (2000) estimated that SO 2 trading<br />
reduced total abatement costs by $700 million to $800 million<br />
per year when compared to command-and-control, all at an<br />
overall advantage to the environment.<br />
1 See, <strong>for</strong> example, Burtraw 1996; Burtraw, et al. 1998; Ellerman, et al. 2000;<br />
Ellerman and Montero 1998; Fullerton, et al. 1997; Kruger and Dean 1997;<br />
Rose 1997; and Swift 2000.<br />
public good by private interests. However, this argument is somewhat<br />
misguided because it assumes that the pollution would not<br />
occur in the absence of emissions trading. The issue is not whether<br />
or not to pollute, but rather how to meet existing air quality standards<br />
at the lowest cost. The flexibility of emissions trading allows<br />
standards to be met at a lower cost. Moreover, great care has been<br />
taken in the design of emissions trading programs to ensure that<br />
they result in a net decrease in emissions, and that trading actually<br />
results in better air quality than would be the case in the absence of<br />
it. Considerable care has been directed, <strong>for</strong> example, at ensuring<br />
that no localized high-emission areas, so called “hot spots,” are created<br />
through emissions trading. This means, at a minimum, that the<br />
offset must come from a source located in the same airshed as the<br />
acquirer.<br />
Emissions trading is particularly well-suited <strong>for</strong> policy coordination<br />
on the border. Approximately 70% of the border population is<br />
located in 14 twin cities (Peach and Williams 2000). The spatial<br />
proximity of much of the population means that many of the twin<br />
cities <strong>for</strong>m common airsheds, where sources on one side of the border<br />
affect air quality on the other side. Moreover, because of the<br />
unique nature of the border, the decentralized nature of decisionmaking<br />
under emissions trading is particularly important. The com-<br />
13