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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

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