IDEAS home Printed from https://ideas.repec.org/p/fer/resrep/p62.html
   My bibliography  Save this paper

Putting a Price on Carbon – Econometric Essays on the European Union Emissions Trading Scheme and its Impacts

Author

Listed:
  • Aatola, Piia

Abstract

This dissertation examines the main instrument of the European Union climate policy, the emissions trading scheme (EU ETS) during its first years. Emission trading provides a cost-efficient way to reduce emissions. It creates a price on carbon dioxide and thereby incentives for cleaner production. The four empirical studies in this dissertation provide new information on the price determination in the emissions trading market, market efficiency and market interactions with the electricity markets. This information is useful for many purposes. It benefits the market participants who make choice between trading of emission allowances in the market and abatement of emissions. For the authorities and policy planners the price signal and the efficiency of the markets reveal unique real-time information on marginal abatement costs, impacts of policy decisions and impacts of institutional design of this policy instrument. To be a well-functioning policy instrument the EU ETS should create a credible price signal and efficient markets for trading allowances. The objective of this dissertation is to analyze the EU ETS markets and the price of the European Union emissions allowance, EUA, with econometric time series models. A large data set on market fundamentals is used to analyze the price series. The results of this dissertation reveal that EU ETS is functions well. Carbon has a price that reflects to a large extent the market fundamentals in the study period. The markets are maturing even if not fully informational efficient yet. Interactions with electricity markets are close. The impact of price of carbon on the price of electricity is positive but spatially uneven. In the long run, also climate change affects the electricity bill. The first study of this dissertation investigates the price determination in the market. The empirical results based on years 2005–2011 show that the price of the EUA is largely determined by the market fundamentals. Especially the price of coal, gas, oil and the price of German electricity are reflected in the price of EUA. In the second study we build up forecasting models and use a trading simulation to study the informational efficiency of the market. Results reveal that the market is not fully efficient but maturing. There might have been possibilities to make economic profit during the second period in the EU ETS market. The last two papers focus on the interaction of emissions trading with electricity markets. The third study looks at the impact of EUA price on the integrating European electricity markets. The electricity markets are integrating but the positive impact of carbon price on the electricity price is uneven depending on the fuel mix in regional electricity markets. The last study analyses the impact of increasing mean temperature due to climate change and the EUA price on the electricity bill in the EU. Warming climate affect the electricity bill unevenly: in the southern European countries the bill is expected to increase due to the increased demand for cooling, whereas the northern and central parts of the continent may face decreasing costs as the winters get warmer.

Suggested Citation

  • Aatola, Piia, 2013. "Putting a Price on Carbon – Econometric Essays on the European Union Emissions Trading Scheme and its Impacts," Research Reports P62, VATT Institute for Economic Research.
  • Handle: RePEc:fer:resrep:p62
    as

    Download full text from publisher

    File URL: https://www.doria.fi/handle/10024/148897
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Robert W. Hahn, 1984. "Market Power and Transferable Property Rights," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 99(4), pages 753-765.
    2. Hansen, Lars Peter, 1982. "Large Sample Properties of Generalized Method of Moments Estimators," Econometrica, Econometric Society, vol. 50(4), pages 1029-1054, July.
    3. J. Albrecht & T. Verbeke & M. De Clercq, 2004. "Informational efficiency of the US SO2 permit market," Working Papers of Faculty of Economics and Business Administration, Ghent University, Belgium 04/250, Ghent University, Faculty of Economics and Business Administration.
    4. Hintermann, Beat, 2010. "Allowance price drivers in the first phase of the EU ETS," Journal of Environmental Economics and Management, Elsevier, vol. 59(1), pages 43-56, January.
    5. repec:dau:papers:123456789/4222 is not listed on IDEAS
    6. Keppler, Jan Horst & Mansanet-Bataller, Maria, 2010. "Causalities between CO2, electricity, and other energy variables during phase I and phase II of the EU ETS," Energy Policy, Elsevier, vol. 38(7), pages 3329-3341, July.
    7. Nelson, Daniel B, 1991. "Conditional Heteroskedasticity in Asset Returns: A New Approach," Econometrica, Econometric Society, vol. 59(2), pages 347-370, March.
    8. Creti, Anna & Jouvet, Pierre-André & Mignon, Valérie, 2012. "Carbon price drivers: Phase I versus Phase II equilibrium?," Energy Economics, Elsevier, vol. 34(1), pages 327-334.
    9. Jūratė Jaraitė & Frank Convery & Corrado Di Maria, 2010. "Transaction costs for firms in the EU ETS: lessons from Ireland," Climate Policy, Taylor & Francis Journals, vol. 10(2), pages 190-215, March.
    10. Montgomery, W. David, 1972. "Markets in licenses and efficient pollution control programs," Journal of Economic Theory, Elsevier, vol. 5(3), pages 395-418, December.
    11. Zachmann, Georg & von Hirschhausen, Christian, 2008. "First evidence of asymmetric cost pass-through of EU emissions allowances: Examining wholesale electricity prices in Germany," Economics Letters, Elsevier, vol. 99(3), pages 465-469, June.
    12. Mansanet-Bataller, Maria & Chevallier, Julien & Hervé-Mignucci, Morgan & Alberola, Emilie, 2011. "EUA and sCER phase II price drivers: Unveiling the reasons for the existence of the EUA-sCER spread," Energy Policy, Elsevier, vol. 39(3), pages 1056-1069, March.
    13. Pagan, Adrian R. & Schwert, G. William, 1990. "Alternative models for conditional stock volatility," Journal of Econometrics, Elsevier, vol. 45(1-2), pages 267-290.
    14. Raphael Calel & Antoine Dechezleprêtre, 2016. "Environmental Policy and Directed Technological Change: Evidence from the European Carbon Market," The Review of Economics and Statistics, MIT Press, vol. 98(1), pages 173-191, March.
    15. Johansen, Soren & Juselius, Katarina, 1990. "Maximum Likelihood Estimation and Inference on Cointegration--With Applications to the Demand for Money," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 52(2), pages 169-210, May.
    16. Cason, Timothy N. & Gangadharan, Lata & Duke, Charlotte, 2003. "A laboratory study of auctions for reducing non-point source pollution," Journal of Environmental Economics and Management, Elsevier, vol. 46(3), pages 446-471, November.
    17. Weigt, Hannes, 2009. "A Review of Liberalization and Modeling of Electricity Markets," MPRA Paper 65651, University Library of Munich, Germany.
    18. Hermeling, Claudia & Löschel, Andreas & Mennel, Tim, 2013. "A new robustness analysis for climate policy evaluations: A CGE application for the EU 2020 targets," Energy Policy, Elsevier, vol. 55(C), pages 27-35.
    19. Jos Sijm & Karsten Neuhoff & Yihsu Chen, 2006. "CO 2 cost pass-through and windfall profits in the power sector," Climate Policy, Taylor & Francis Journals, vol. 6(1), pages 49-72, January.
    20. R. H. Coase, 2013. "The Problem of Social Cost," Journal of Law and Economics, University of Chicago Press, vol. 56(4), pages 837-877.
    21. repec:dau:papers:123456789/4210 is not listed on IDEAS
    22. Barry Anderson & Corrado Di Maria, 2011. "Abatement and Allocation in the Pilot Phase of the EU ETS," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 48(1), pages 83-103, January.
    23. Rickels, Wilfried & Duscha, Vicki & Keller, Andreas & Peterson, Sonja, 2007. "The determinants of allowance prices in the European emissions trading scheme: Can we expect an efficient allowance market 2008?," Kiel Working Papers 1387, Kiel Institute for the World Economy (IfW Kiel).
    24. Zhang, Yue-Jun & Wei, Yi-Ming, 2010. "An overview of current research on EU ETS: Evidence from its operating mechanism and economic effect," Applied Energy, Elsevier, vol. 87(6), pages 1804-1814, June.
    25. Conrad, Christian & Rittler, Daniel & Rotfuß, Waldemar, 2012. "Modeling and explaining the dynamics of European Union Allowance prices at high-frequency," Energy Economics, Elsevier, vol. 34(1), pages 316-326.
    26. Nils-Henrik Mørch von der Fehr, 1993. "Tradable emission rights and strategic interaction," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 3(2), pages 129-151, April.
    27. Roselyne Joyeux & George Milunovich, 2010. "Testing market efficiency in the EU carbon futures market," Applied Financial Economics, Taylor & Francis Journals, vol. 20(10), pages 803-809.
    28. Eva Benz & Andreas Löschel & Bodo Sturm, 2010. "Auctioning of CO 2 emission allowances in Phase 3 of the EU Emissions Trading Scheme," Climate Policy, Taylor & Francis Journals, vol. 10(6), pages 705-718, November.
    29. Stavins Robert N., 1995. "Transaction Costs and Tradeable Permits," Journal of Environmental Economics and Management, Elsevier, vol. 29(2), pages 133-148, September.
    30. A. C. Christiansen & A. Arvanitakis & K. Tangen & H. Hasselknippe, 2005. "Price determinants in the EU emissions trading scheme," Climate Policy, Taylor & Francis Journals, vol. 5(1), pages 15-30, January.
    31. Jensen, Michael C., 1978. "Some anomalous evidence regarding market efficiency," Journal of Financial Economics, Elsevier, vol. 6(2-3), pages 95-101.
    32. Engle, Robert F & Ng, Victor K, 1993. "Measuring and Testing the Impact of News on Volatility," Journal of Finance, American Finance Association, vol. 48(5), pages 1749-1778, December.
    33. Bollerslev, Tim, 1986. "Generalized autoregressive conditional heteroskedasticity," Journal of Econometrics, Elsevier, vol. 31(3), pages 307-327, April.
    34. E. Woerdman & O. Couwenberg & A. Nentjes, 2009. "Energy prices and emissions trading: windfall profits from grandfathering?," European Journal of Law and Economics, Springer, vol. 28(2), pages 185-202, October.
    35. Misiolek, Walter S. & Elder, Harold W., 1989. "Exclusionary manipulation of markets for pollution rights," Journal of Environmental Economics and Management, Elsevier, vol. 16(2), pages 156-166, March.
    36. Lata Gangadharan, 2000. "Transaction Costs in Pollution Markets: An Empirical Study," Land Economics, University of Wisconsin Press, vol. 76(4), pages 601-614.
    37. Malik, Arun S, 1992. "Enforcement Costs and the Choice of Policy Instruments for Controlling Pollution," Economic Inquiry, Western Economic Association International, vol. 30(4), pages 714-721, October.
    38. Chevallier, Julien, 2009. "Carbon futures and macroeconomic risk factors: A view from the EU ETS," Energy Economics, Elsevier, vol. 31(4), pages 614-625, July.
    39. Bruno Bosco & Lucia Parisio & Matteo Pelagatti & Fabio Baldi, 2010. "Long-run relations in european electricity prices," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 25(5), pages 805-832.
    40. Inoue, Atsushi & Kilian, Lutz, 2006. "On the selection of forecasting models," Journal of Econometrics, Elsevier, vol. 130(2), pages 273-306, February.
    41. Oberndorfer, Ulrich & Alexeeva-Talebi, Victoria & Löschel, Andreas, 2010. "Understanding the competitiveness implications of future phases of EU ETS on the industrial sectors," ZEW Discussion Papers 10-044, ZEW - Leibniz Centre for European Economic Research.
    42. Timmermann, Allan & Granger, Clive W. J., 2004. "Efficient market hypothesis and forecasting," International Journal of Forecasting, Elsevier, vol. 20(1), pages 15-27.
    43. Alberola, Emilie & Chevallier, Julien & Cheze, Benoi^t, 2008. "Price drivers and structural breaks in European carbon prices 2005-2007," Energy Policy, Elsevier, vol. 36(2), pages 787-797, February.
    44. Davidson, Russell & MacKinnon, James G., 1993. "Estimation and Inference in Econometrics," OUP Catalogue, Oxford University Press, number 9780195060119, Decembrie.
    45. Beat Hintermann, 2011. "Market Power, Permit Allocation and Efficiency in Emission Permit Markets," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 49(3), pages 327-349, July.
    46. Pesaran, H. Hashem & Shin, Yongcheol, 1998. "Generalized impulse response analysis in linear multivariate models," Economics Letters, Elsevier, vol. 58(1), pages 17-29, January.
    47. Shaul Ben-David & David Brookshire & Stuart Burness & Michael McKee & Christian Schmidt, 2000. "Attitudes toward Risk and Compliance in Emission Permit Markets," Land Economics, University of Wisconsin Press, vol. 76(4), pages 590-600.
    48. Maria Mansanet-Bataller & Angel Pardo & Enric Valor, 2007. "CO2 Prices, Energy and Weather," The Energy Journal, International Association for Energy Economics, vol. 0(Number 3), pages 73-92.
    49. Newey, Whitney & West, Kenneth, 2014. "A simple, positive semi-definite, heteroscedasticity and autocorrelation consistent covariance matrix," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 33(1), pages 125-132.
    50. repec:dau:papers:123456789/5269 is not listed on IDEAS
    51. Montero, Juan-Pablo, 1998. "Marketable pollution permits with uncertainty and transaction costs," Resource and Energy Economics, Elsevier, vol. 20(1), pages 27-50, March.
    52. Liski, Matti, 2001. "Thin versus Thick CO2 Market," Journal of Environmental Economics and Management, Elsevier, vol. 41(3), pages 295-311, May.
    53. Granger, C. W. J. & Newbold, Paul, 1986. "Forecasting Economic Time Series," Elsevier Monographs, Elsevier, edition 2, number 9780122951831 edited by Shell, Karl.
    54. repec:dau:papers:123456789/5109 is not listed on IDEAS
    55. Fama, Eugene F, 1970. "Efficient Capital Markets: A Review of Theory and Empirical Work," Journal of Finance, American Finance Association, vol. 25(2), pages 383-417, May.
    56. Montagnoli, Alberto & de Vries, Frans P., 2010. "Carbon trading thickness and market efficiency," Energy Economics, Elsevier, vol. 32(6), pages 1331-1336, November.
    57. Bredin, Don & Muckley, Cal, 2011. "An emerging equilibrium in the EU emissions trading scheme," Energy Economics, Elsevier, vol. 33(2), pages 353-362, March.
    58. Engle, Robert F & Lilien, David M & Robins, Russell P, 1987. "Estimating Time Varying Risk Premia in the Term Structure: The Arch-M Model," Econometrica, Econometric Society, vol. 55(2), pages 391-407, March.
    59. Benoit Mandelbrot, 2015. "The Variation of Certain Speculative Prices," World Scientific Book Chapters, in: Anastasios G Malliaris & William T Ziemba (ed.), THE WORLD SCIENTIFIC HANDBOOK OF FUTURES MARKETS, chapter 3, pages 39-78, World Scientific Publishing Co. Pte. Ltd..
    60. Johansen, Soren, 1988. "Statistical analysis of cointegration vectors," Journal of Economic Dynamics and Control, Elsevier, vol. 12(2-3), pages 231-254.
    61. repec:dau:papers:123456789/10174 is not listed on IDEAS
    62. Holthausen, Duncan M, 1979. "Hedging and the Competitive Firm under Price Uncertainty," American Economic Review, American Economic Association, vol. 69(5), pages 989-995, December.
    63. Ruth, Matthias & Lin, Ai-Chen, 2006. "Regional energy demand and adaptations to climate change: Methodology and application to the state of Maryland, USA," Energy Policy, Elsevier, vol. 34(17), pages 2820-2833, November.
    64. Engle, Robert F, 1982. "Autoregressive Conditional Heteroscedasticity with Estimates of the Variance of United Kingdom Inflation," Econometrica, Econometric Society, vol. 50(4), pages 987-1007, July.
    Full references (including those not matched with items on IDEAS)

    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. Remes, Piia, 2013. "Putting a Price on Carbon – Econometric Essays on the European Union Emissions Trading Scheme and its Impacts," Research Reports 62, VATT Institute for Economic Research.
    2. Aatola, Piia & Ollikka, Kimmo & Ollikainen, Markku, 2012. "Informational Efficiency of the EU ETS market – a study of price predictability and profitable trading," Working Papers 28, VATT Institute for Economic Research.
    3. Aatola, Piia & Ollikainen, Markku & Toppinen, Anne, 2013. "Price determination in the EU ETS market: Theory and econometric analysis with market fundamentals," Energy Economics, Elsevier, vol. 36(C), pages 380-395.
    4. Friedrich, Marina & Mauer, Eva-Maria & Pahle, Michael & Tietjen, Oliver, 2020. "From fundamentals to financial assets: the evolution of understanding price formation in the EU ETS," EconStor Preprints 196150, ZBW - Leibniz Information Centre for Economics, revised 2020.
    5. Hintermann, Beat & Peterson, Sonja & Rickels, Wilfried, 2014. "Price and market behavior in Phase II of the EU ETS," Kiel Working Papers 1962, Kiel Institute for the World Economy (IfW Kiel).
    6. Cretí, Anna & Joëts, Marc, 2017. "Multiple bubbles in the European Union Emission Trading Scheme," Energy Policy, Elsevier, vol. 107(C), pages 119-130.
    7. Medina, Vicente & Pardo, Ángel & Pascual, Roberto, 2014. "The timeline of trading frictions in the European carbon market," Energy Economics, Elsevier, vol. 42(C), pages 378-394.
    8. Segnon, Mawuli & Lux, Thomas & Gupta, Rangan, 2017. "Modeling and forecasting the volatility of carbon dioxide emission allowance prices: A review and comparison of modern volatility models," Renewable and Sustainable Energy Reviews, Elsevier, vol. 69(C), pages 692-704.
    9. Lutz, Benjamin Johannes & Pigorsch, Uta & Rotfuß, Waldemar, 2013. "Nonlinearity in cap-and-trade systems: The EUA price and its fundamentals," Energy Economics, Elsevier, vol. 40(C), pages 222-232.
    10. Creti, Anna & Jouvet, Pierre-André & Mignon, Valérie, 2012. "Carbon price drivers: Phase I versus Phase II equilibrium?," Energy Economics, Elsevier, vol. 34(1), pages 327-334.
    11. Gavard, Claire & Kirat, Djamel, 2018. "Flexibility in the market for international carbon credits and price dynamics difference with European allowances," Energy Economics, Elsevier, vol. 76(C), pages 504-518.
    12. Duan, Kun & Ren, Xiaohang & Shi, Yukun & Mishra, Tapas & Yan, Cheng, 2021. "The marginal impacts of energy prices on carbon price variations: Evidence from a quantile-on-quantile approach," Energy Economics, Elsevier, vol. 95(C).
    13. Zhu, Bangzhu & Ye, Shunxin & Han, Dong & Wang, Ping & He, Kaijian & Wei, Yi-Ming & Xie, Rui, 2019. "A multiscale analysis for carbon price drivers," Energy Economics, Elsevier, vol. 78(C), pages 202-216.
    14. Aatola, Piia & Ollikainen, Markku & Toppinen, Anne, 2013. "Impact of the carbon price on the integrating European electricity market," Energy Policy, Elsevier, vol. 61(C), pages 1236-1251.
    15. 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.
    16. Baudry, Marc & Faure, Anouk & Quemin, Simon, 2021. "Emissions trading with transaction costs," Journal of Environmental Economics and Management, Elsevier, vol. 108(C).
    17. Alexander Zeitlberger & Alexander Brauneis, 2016. "Modeling carbon spot and futures price returns with GARCH and Markov switching GARCH models," Central European Journal of Operations Research, Springer;Slovak Society for Operations Research;Hungarian Operational Research Society;Czech Society for Operations Research;Österr. Gesellschaft für Operations Research (ÖGOR);Slovenian Society Informatika - Section for Operational Research;Croatian Operational Research Society, vol. 24(1), pages 149-176, March.
    18. Ying Fan & Yin-Peng Liu & Jian-Feng Guo, 2016. "How to explain carbon price using market micro-behaviour?," Applied Economics, Taylor & Francis Journals, vol. 48(51), pages 4992-5007, November.
    19. Huang, Wenyang & Wang, Huiwen & Qin, Haotong & Wei, Yigang & Chevallier, Julien, 2022. "Convolutional neural network forecasting of European Union allowances futures using a novel unconstrained transformation method," Energy Economics, Elsevier, vol. 110(C).
    20. Franses,Philip Hans & Dijk,Dick van & Opschoor,Anne, 2014. "Time Series Models for Business and Economic Forecasting," Cambridge Books, Cambridge University Press, number 9780521520911.

    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:fer:resrep:p62. 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: Anita Niskanen (email available below). General contact details of provider: https://edirc.repec.org/data/vatttfi.html .

    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.