IDEAS home Printed from https://ideas.repec.org/p/was/dpaper/1902.html
   My bibliography  Save this paper

Dynamic Incentives and Permit Market Equilibrium in Cap-and-Trade Regulation

Author

Listed:
  • Yuta Toyama

    (School of Political Science and Economics, Waseda University, Tokyo, Japan and Research Institute for Environmental Economics and Management, Waseda University, Tokyo, Japan)

Abstract

I evaluate the welfare consequences of cap-and-trade regulation by considering permit banking and estimating transaction costs in permit trading. I construct a dynamic equilibrium model of emissions abatement and permit trading with banking. Applying it to the US Acid Rain Program, I simulate the impacts of transaction costs and alternative regulatory design. Transaction costs affect both inter-temporal and cross-sectional distribution of emissions, leading to greater health and environmental damage. Permit banking mitigates the negative effect of transaction costs on abatement costs and shifts the timing of emissions. Emissions tax can achieve an outcome close to dynamic capand-trade without transaction costs.

Suggested Citation

  • Yuta Toyama, 2022. "Dynamic Incentives and Permit Market Equilibrium in Cap-and-Trade Regulation," RIEEM Discussion Paper Series 1902, Research Institute for Environmental Economics and Management, Waseda University.
  • Handle: RePEc:was:dpaper:1902
    as

    Download full text from publisher

    File URL: http://www.waseda.jp/prj-rieem/dp/dp1902.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Rust, John, 1987. "Optimal Replacement of GMC Bus Engines: An Empirical Model of Harold Zurcher," Econometrica, Econometric Society, vol. 55(5), pages 999-1033, September.
    2. Matti Liski & Juan‐Pablo Montero, 2011. "Market Power in an Exhaustible Resource Market: The Case of Storable Pollution Permits," Economic Journal, Royal Economic Society, vol. 121(551), pages 116-144, March.
    3. Natalia Fabra & Mar Reguant, 2014. "Pass-Through of Emissions Costs in Electricity Markets," American Economic Review, American Economic Association, vol. 104(9), pages 2872-2899, September.
    4. Patrick Bajari & C. Lanier Benkard & Jonathan Levin, 2007. "Estimating Dynamic Models of Imperfect Competition," Econometrica, Econometric Society, vol. 75(5), pages 1331-1370, September.
    5. Victor Aguirregabiria & Pedro Mira, 2002. "Swapping the Nested Fixed Point Algorithm: A Class of Estimators for Discrete Markov Decision Models," Econometrica, Econometric Society, vol. 70(4), pages 1519-1543, July.
    6. Montgomery, W. David, 1972. "Markets in licenses and efficient pollution control programs," Journal of Economic Theory, Elsevier, vol. 5(3), pages 395-418, December.
    7. V. Joseph Hotz & Robert A. Miller, 1993. "Conditional Choice Probabilities and the Estimation of Dynamic Models," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 60(3), pages 497-529.
    8. Richard Schmalensee & Robert N. Stavins, 2013. "The SO 2 Allowance Trading System: The Ironic History of a Grand Policy Experiment," Journal of Economic Perspectives, American Economic Association, vol. 27(1), pages 103-122, Winter.
    9. R. H. Coase, 2013. "The Problem of Social Cost," Journal of Law and Economics, University of Chicago Press, vol. 56(4), pages 837-877.
    10. Richard Ericson & Ariel Pakes, 1995. "Markov-Perfect Industry Dynamics: A Framework for Empirical Work," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 62(1), pages 53-82.
    11. Steve Cicala, 2015. "When Does Regulation Distort Costs? Lessons from Fuel Procurement in US Electricity Generation," American Economic Review, American Economic Association, vol. 105(1), pages 411-444, January.
    12. Stavins Robert N., 1995. "Transaction Costs and Tradeable Permits," Journal of Environmental Economics and Management, Elsevier, vol. 29(2), pages 133-148, September.
    13. Gollop, Frank M & Roberts, Mark J, 1985. "Cost-minimizing Regulation of Sulfur Emissions: Regional Gains in Electric Power," The Review of Economics and Statistics, MIT Press, vol. 67(1), pages 81-90, February.
    14. Curtis Carlson & Dallas Burtraw & Maureen Cropper & Karen L. Palmer, 2000. "Sulfur Dioxide Control by Electric Utilities: What Are the Gains from Trade?," Journal of Political Economy, University of Chicago Press, vol. 108(6), pages 1292-1326, December.
    15. Arimura, Toshi H., 2002. "An Empirical Study of the SO2 Allowance Market: Effects of PUC Regulations," Journal of Environmental Economics and Management, Elsevier, vol. 44(2), pages 271-289, September.
    16. Olley, G Steven & Pakes, Ariel, 1996. "The Dynamics of Productivity in the Telecommunications Equipment Industry," Econometrica, Econometric Society, vol. 64(6), pages 1263-1297, November.
    17. A. Denny Ellerman & Juan-Pablo Montero, 2007. "The Efficiency and Robustness of Allowance Banking in the U.S. Acid Rain Program," The Energy Journal, International Association for Energy Economics, vol. 0(Number 4), pages 47-72.
    18. Chan, H. Ron & Chupp, B. Andrew & Cropper, Maureen L. & Muller, Nicholas Z., 2018. "The impact of trading on the costs and benefits of the Acid Rain Program," Journal of Environmental Economics and Management, Elsevier, vol. 88(C), pages 180-209.
    19. Fabrizio Lillo & J. Doyne Farmer & Rosario N. Mantegna, 2003. "Master curve for price-impact function," Nature, Nature, vol. 421(6919), pages 129-130, January.
    20. Stephen P. Ryan, 2012. "The Costs of Environmental Regulation in a Concentrated Industry," Econometrica, Econometric Society, vol. 80(3), pages 1019-1061, May.
    21. Ellerman,A. Denny & Joskow,Paul L. & Schmalensee,Richard & Montero,Juan-Pablo & Bailey,Elizabeth M., 2005. "Markets for Clean Air," Cambridge Books, Cambridge University Press, number 9780521023894.
      • Ellerman,A. Denny & Joskow,Paul L. & Schmalensee,Richard & Montero,Juan-Pablo & Bailey,Elizabeth M., 2000. "Markets for Clean Air," Cambridge Books, Cambridge University Press, number 9780521660839, January.
    22. Per Krusell & Anthony A. Smith & Jr., 1998. "Income and Wealth Heterogeneity in the Macroeconomy," Journal of Political Economy, University of Chicago Press, vol. 106(5), pages 867-896, October.
    23. Myrto Kalouptsidi, 2014. "Time to Build and Fluctuations in Bulk Shipping," American Economic Review, American Economic Association, vol. 104(2), pages 564-608, February.
    24. Joskow, Paul L & Schmalensee, Richard, 1998. "The Political Economy of Market-Based Environmental Policy: The U.S. Acid Rain Program," Journal of Law and Economics, University of Chicago Press, vol. 41(1), pages 37-83, April.
    25. Donghoon Lee & Kenneth I. Wolpin, 2006. "Intersectoral Labor Mobility and the Growth of the Service Sector," Econometrica, Econometric Society, vol. 74(1), pages 1-46, January.
    26. Rubin, Jonathan D., 1996. "A Model of Intertemporal Emission Trading, Banking, and Borrowing," Journal of Environmental Economics and Management, Elsevier, vol. 31(3), pages 269-286, November.
    27. Nicholas Z. Muller & Robert Mendelsohn, 2009. "Efficient Pollution Regulation: Getting the Prices Right," American Economic Review, American Economic Association, vol. 99(5), pages 1714-1739, December.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Baudry, Marc & Faure, Anouk & Quemin, Simon, 2021. "Emissions trading with transaction costs," Journal of Environmental Economics and Management, Elsevier, vol. 108(C).

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Robert W. Hahn & Robert N. Stavins, 2011. "The Effect of Allowance Allocations on Cap-and-Trade System Performance," Journal of Law and Economics, University of Chicago Press, vol. 54(S4), pages 267-294.
    2. Holland, Stephen P. & Moore, Michael R., 2013. "Market design in cap and trade programs: Permit validity and compliance timing," Journal of Environmental Economics and Management, Elsevier, vol. 66(3), pages 671-687.
    3. Aguirregabiria, Victor & Mira, Pedro, 2010. "Dynamic discrete choice structural models: A survey," Journal of Econometrics, Elsevier, vol. 156(1), pages 38-67, May.
    4. Victor Aguirregabiria & Margaret Slade, 2017. "Empirical models of firms and industries," Canadian Journal of Economics, Canadian Economics Association, vol. 50(5), pages 1445-1488, December.
    5. Richard Schmalensee & Robert N. Stavins, 2013. "The SO 2 Allowance Trading System: The Ironic History of a Grand Policy Experiment," Journal of Economic Perspectives, American Economic Association, vol. 27(1), pages 103-122, Winter.
    6. Carlos Daniel Santos, 2009. "Recovering the Sunk Costs of R&D: the Moulds Industry Case," CEP Discussion Papers dp0958, Centre for Economic Performance, LSE.
    7. Baudry, Marc & Faure, Anouk & Quemin, Simon, 2021. "Emissions trading with transaction costs," Journal of Environmental Economics and Management, Elsevier, vol. 108(C).
    8. Tomlin, Ben, 2014. "Exchange rate fluctuations, plant turnover and productivity," International Journal of Industrial Organization, Elsevier, vol. 35(C), pages 12-28.
    9. Olivier Rousse & Benoît Sévi, 2005. "Behavioral Heterogeneity in the US Sulfur Dioxide Emissions Allowance Trading Program," ERSA conference papers ersa05p550, European Regional Science Association.
    10. Revesz, Richard & Stavins, Robert, 2004. "Environmental Law and Policy," Working Paper Series rwp04-023, Harvard University, John F. Kennedy School of Government.
    11. Hu, Yingyao & Shum, Matthew, 2012. "Nonparametric identification of dynamic models with unobserved state variables," Journal of Econometrics, Elsevier, vol. 171(1), pages 32-44.
    12. Richard Schmalensee & Robert N. Stavins, 2019. "Policy Evolution under the Clean Air Act," Journal of Economic Perspectives, American Economic Association, vol. 33(4), pages 27-50, Fall.
    13. Patrick Bajari & C. Lanier Benkard & Jonathan Levin, 2007. "Estimating Dynamic Models of Imperfect Competition," Econometrica, Econometric Society, vol. 75(5), pages 1331-1370, September.
    14. Amoroso, S., 2013. "Heterogeneity of innovative, collaborative, and productive firm-level processes," Other publications TiSEM f5784a49-7053-401d-855d-1, Tilburg University, School of Economics and Management.
    15. Sara Amoroso, 2014. "The hidden costs of R&D collaboration," JRC Working Papers on Corporate R&D and Innovation 2014-02, Joint Research Centre.
    16. Robert N. Stavins, 2011. "The Problem of the Commons: Still Unsettled after 100 Years," American Economic Review, American Economic Association, vol. 101(1), pages 81-108, February.
    17. Haizhen Lin, 2015. "Quality Choice And Market Structure: A Dynamic Analysis Of Nursing Home Oligopolies," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 56(4), pages 1261-1290, November.
    18. Victor Aguirregabiria & Victor Aguirregabiria & Aviv Nevo & Aviv Nevo, 2010. "Recent Developments in Empirical IO: Dynamic Demand and Dynamic Games," Working Papers tecipa-419, University of Toronto, Department of Economics.
    19. Coublucq, Daniel, 2013. "Demand estimation with selection bias: A dynamic game approach with an application to the US railroad industry," DICE Discussion Papers 94, Heinrich Heine University Düsseldorf, Düsseldorf Institute for Competition Economics (DICE).
    20. Kalouptsidi, Myrto & Papageorgiou, Theodore & Brancaccio, Giulia, 2017. "Geography, Search Frictions and Endogenous Trade Costs," CEPR Discussion Papers 12141, C.E.P.R. Discussion Papers.

    More about this item

    Keywords

    Cap-and-trade regulation; dynamic equilibrium model; gains from trade; permit banking; transaction costs; electricity industry; sulfur dioxide emissions; nonuniformly mixed pollutants;
    All these keywords.

    JEL classification:

    • D22 - Microeconomics - - Production and Organizations - - - Firm Behavior: Empirical Analysis
    • L94 - Industrial Organization - - Industry Studies: Transportation and Utilities - - - Electric Utilities
    • Q52 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics - - - Pollution Control Adoption and Costs; Distributional Effects; Employment Effects
    • Q58 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics - - - Environmental Economics: Government Policy

    NEP fields

    This paper has been announced in the following NEP Reports:

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:was:dpaper:1902. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Takuro Miyamoto (email available below). General contact details of provider: http://www.waseda.jp/prj-rieem/en .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.