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Alternative Intertemporal Permit Trading Regimes with Stochastic Abatement Costs

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  • Feng, Hongli
  • Zhao, Jinhua

Abstract

We examine the social efficiency of alternative intertemporal permit trading regimes. Banking with a 1-to-1 ratio and with a non-unitary intertemporal trading ratio (ITR) are compared with each other and with the no-banking permit trading regime. The more industry-wide shocks vary, and/or the more they are negatively correlated across time, the more efficient is a bankable permit regime. When the slope of the benefit function is greater than the slope of the damage function, banking with ITR=1+r is more efficient than a no-banking regime. Banking with ITR=1 can be more efficient than a no-banking regime. However, whether ITR=1 or ITR=1+r is better depends on the covariance structure of the shocks and the benefit and damage functions.

Suggested Citation

  • Feng, Hongli & Zhao, Jinhua, 2002. "Alternative Intertemporal Permit Trading Regimes with Stochastic Abatement Costs," Staff General Research Papers Archive 10057, Iowa State University, Department of Economics.
  • Handle: RePEc:isu:genres:10057
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    References listed on IDEAS

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    Cited by:

    1. Fell, Harrison & MacKenzie, Ian A. & Pizer, William A., 2012. "Prices versus quantities versus bankable quantities," Resource and Energy Economics, Elsevier, vol. 34(4), pages 607-623.
    2. repec:dau:papers:123456789/2267 is not listed on IDEAS
    3. Jussi Lintunen & Olli-Pekka Kuusela, 2015. "Optimal Management of Markets for Bankable Emission PermitsOptimal Management of Markets for Bankable Emission Permits," Working Papers 2015.48, Fondazione Eni Enrico Mattei.
    4. Baran Doda, Simon Quemin, Luca Taschini, 2017. "A theory of gains from trade in multilaterally linked ETSs," GRI Working Papers 275, Grantham Research Institute on Climate Change and the Environment.
    5. Slechten, Aurélie, 2013. "Intertemporal links in cap-and-trade schemes," Journal of Environmental Economics and Management, Elsevier, vol. 66(2), pages 319-336.
    6. Ikefuji, M. & Laeven, R.J.A. & Magnus, J.R. & Muris, C.H.M., 2010. "Scrap Value Functions in Dynamic Decision Problems," Discussion Paper 2010-77, Tilburg University, Center for Economic Research.
    7. Holland, Stephen P. & Yates, Andrew J., 2015. "Optimal trading ratios for pollution permit markets," Journal of Public Economics, Elsevier, vol. 125(C), pages 16-27.
    8. Makoto Hasegawa & Stephen Salant, 2015. "The Dynamics of Pollution Permits," Annual Review of Resource Economics, Annual Reviews, vol. 7(1), pages 61-79, October.
    9. Simon Quemin & Christian de Perthuis, 2017. "Transitional restricted linkage between Emissions Trading Schemes," Working Papers 1701, Chaire Economie du climat.
    10. repec:eee:eecrev:v:101:y:2018:i:c:p:397-417 is not listed on IDEAS
    11. Benjamin Leard, 2013. "The Welfare Effects of Allowance Banking in Emissions Trading Programs," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 55(2), pages 175-197, June.

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    Keywords

    bankable permits; permit banking and borrowing;

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