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Experimental comparison between markets on dynamic permit trading and investment in irreversible abatement with and without nonregulated companies

  • Marc Chesney
  • Luca Taschini
  • Mei Wang

This paper examines the investment strategies of regulated companies in irreversible abatement technologies and the environmental achievements of the system in an inter-temporal cap-and-trade market using laboratory experiments. The experimental analysis is performedunder varying market structures: firstly, in a market where there are exclusively regulatedcompanies and then in a market with the inclusion of subjects not liable for compliance withenvironmental regulations. In line with theoretical models on irreversible abatement investment, the paper shows that regulated companies trade permits at a premium. At the same time, steep fixed per unit penalty for excess emissions effectively prompt investments in irreversible abatement technologies. Further, the paper shows that by contributing to the permit demand and supply, the non-regulated companies improve the compliance rate and facilitate the exchange of permits helping the system to achieve a zero-excess permit position.

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Paper provided by Grantham Research Institute on Climate Change and the Environment in its series GRI Working Papers with number 41.

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Date of creation: Mar 2011
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Handle: RePEc:lsg:lsgwps:wp41
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  6. Marc Chesney & Luca Taschini, 2012. "The Endogenous Price Dynamics of Emission Allowances and an Application to CO 2 Option Pricing," Applied Mathematical Finance, Taylor & Francis Journals, vol. 19(5), pages 447-475, November.
  7. Schennach, Susanne M., 2000. "The Economics of Pollution Permit Banking in the Context of Title IV of the 1990 Clean Air Act Amendments," Journal of Environmental Economics and Management, Elsevier, vol. 40(3), pages 189-210, November.
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  16. Seifert, Jan & Uhrig-Homburg, Marliese & Wagner, Michael, 2008. "Dynamic behavior of CO2 spot prices," Journal of Environmental Economics and Management, Elsevier, vol. 56(2), pages 180-194, September.
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