Emissions trading as an instrument to reduce greenhouse gases has found increasing approval over the last years. One of the challenges in putting this instrument into practice is the self-reported character of all firm data. High verification standards are therefore essential, but also costly. This analysis answers the question of how, in the grandfathering process of an emissions trading scheme, self-reported firm data can be verified in a cost-efficient way. The method used is a principal-agent model similar to those in ...
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Emissions trading as an instrument to reduce greenhouse gases has found increasing approval over the last years. One of the challenges in putting this instrument into practice is the self-reported character of all firm data. High verification standards are therefore essential, but also costly. This analysis answers the question of how, in the grandfathering process of an emissions trading scheme, self-reported firm data can be verified in a cost-efficient way. The method used is a principal-agent model similar to those in the tax-evasion literature. Policy recommendations include specific combinations of random audits and penalties for fraudulent reporting. From a technical perspective the analysis reveals that the efficient verification of private data strongly depends on whether there are incentives to overstate or to understate the private data and that the standard equity-efficiency tradeoff does not prevail in this context.
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Publisher:
Peter Lang Gmbh, Internationaler Verlag Der Wissenschaften
Published:
2008
Language:
English
Alibris ID:
17763532408
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Seller's Description:
142 pp., Paperback, NEW! ! ! . -If you are reading this, this item is actually (physically) in our stock and ready for shipment once ordered. We are not bookjackers. Buyer is responsible for any additional duties, taxes, or fees required by recipient's country.
