Abstract
The Kyoto Protocol envisages the use of various instruments to achieve emission reduction targets, one of which is the European Union Emission Trading Scheme (EU ETS), the most important market worldwide for CO2 emission allowances. The volume of European Union Allowances traded represents over 45% of all the carbon dioxide generated by human activity within the continent. In its first two phases (2005–2012), the behaviour of the EU ETS was erratic, as a result of discretionary policies, an oversupply of allowances and reduced economic activity due to the global crisis. These factors caused excessively low prices that distorted the initial goals of achieving low-carbon solutions. From 2013, changes were made to the market regulation mechanisms in order to correct these structural deficiencies. Empirical analysis of daily prices in the two central phases of the market, following the pattern of ARCH and GARCH models, shows that the measures taken within the EU generated greater confidence and stability in the market and thus reduced volatility. Subsequent price behaviour, following a bullish path, has confirmed the success of the measures taken and their contribution to fulfilling emission reduction targets.
Similar content being viewed by others
Notes
The Kyoto Protocol was drafted with the initial objective of reducing global greenhouse gas emissions, during the period 2008–2012, by 5.2% in relation to 1990 levels.
Each permit allows the holder to emit one metric ton of carbon dioxide (CO2), or equivalent amounts of nitrous oxide (NO2) and perfluorocarbons (PFCs).
Similar to the ETS in the European Union, other “Cap & Trade” systems have been adopted in other countries or regions, such as the CCX (Chicago Climate Exchange) created in the USA in 2003, and the NZ ETS (New Zealand Emissions Trading Scheme), applied since 2009 in New Zealand, among many others.
Croatia’s entry into the EU ETS took place at the start of Phase III.
Only sectors considered to be at risk of carbon leakage (i.e. production or investment relocation to areas that do not have emission limits, leading to an increase in global emissions) receive a free allowance allocation.
In July 2015, the European Commission proposed an amendment to the EU ETS, increasing the speed of decline of the annual emissions cap from − 1.74% per year to − 2.20%, and enhancing the carbon leakage framework to preserve the competitiveness of European industry (FTI-CL Energy 2017).
References
Aatola, P., Ollikainen, M., & Toppinen, A. (2013). Price determination in the EU ETS market: Theory and econometric analysis with market fundamentals. Energy Economics, 36(January 2006), 380–395. https://doi.org/10.1016/j.eneco.2012.09.009.
Alberola, E., Chevallier, J., & Chèze, B. (2008). Price drivers and structural breaks in European carbon prices 2005–2007. Energy Policy, 36(2), 787–797. https://doi.org/10.1016/j.enpol.2007.10.029.
Atsalakis, G. S. (2016). Using computational intelligence to forecast carbon prices. Applied Soft Computing Journal, 43, 107–116. https://doi.org/10.1016/j.asoc.2016.02.029.
Balietti, A. C. (2016). Trader types and volatility of emission allowance prices. Evidence from EU ETS Phase I. Energy Policy, 98, 607–620. https://doi.org/10.1016/j.enpol.2016.09.006.
Benz, E., & Truck, S. (2009). Modeling the price dynamics of CO2 emission allowances. Energy Economics, 31(1), 4–15. https://doi.org/10.1016/j.eneco.2008.07.003.
Bera, A. K., & Higgins, M. L. (1993). Arch models: Properties, estimation and testing. Journal of Economic Surveys. https://doi.org/10.1111/j.1467-6419.1993.tb00170.x.
Bollerslev, T. (1986). Generalized autoregressive conditional heteroskedasticity. Journal of Econometrics, 31, 307–327.
Bollerslev, T., Chou, R. Y., & Kroner, K. F. (1992). ARCH modelling in finance: A review of the theory and empirical evidence. Journal of Econometrics, 52, 5–59. https://doi.org/10.1016/0304-4076(92)90064-X.
Bredin, D., Hyde, S., & Muckley, C. (2014). A microstructure analysis of the carbon finance market. International Review of Financial Analysis, 34, 222–234. https://doi.org/10.1016/j.irfa.2014.03.003.
Bredin, D., & Parsons, J. (2016). Why is spot carbon so cheap and future carbon so dear? The term structure of carbon prices. Energy Journal, 37(3), 83–107. https://doi.org/10.5547/01956574.37.3.dbre.
Brink, C., Vollebergh, H. R. J., & van der Werf, E. (2016). Carbon pricing in the EU: Evaluation of different EU ETS reform options. Energy Policy, 97, 603–617. https://doi.org/10.1016/j.enpol.2016.07.023.
Brockwell, P. J., & Davis, R. A. (1996). Introduction to time series and forecasting. New York: Springer.
Byun, S. J., & Cho, H. (2013). Forecasting carbon futures volatility using GARCH models with energy volatilities. Energy Economics, 40, 207–221. https://doi.org/10.1016/j.eneco.2013.06.017.
Casas Monsegny, M., & Cepeda Cuervo, E. (2008). Modelos ARCH, GARCH y EGARCH: aplicaciones a series financieras. Cuadernos de Economía, XXVII, 287–319. Retrieved from http://www.revistas.unal.edu.co/index.php/ceconomia/article/view/1460.
Castagneto-Gissey, G. (2014). How competitive are EU electricity markets? An assessment of ETS Phase II. Energy Policy, 73, 278–297. https://doi.org/10.1016/j.enpol.2014.06.015.
Chang, K., Wang, S. S., & Peng, K. (2013). Mean reversion of stochastic convenience yields for CO2 emissions allowances: Empirical evidence from the EU ETS. Spanish Review of Financial Economics, 11(1), 39–45. https://doi.org/10.1016/j.srfe.2013.01.001.
Chevallier, J. (2011). The impact of nonlinearities for carbon markets analyses. International Economics, 126–127(January), 131–150. https://doi.org/10.1016/S2110-7017(13)60040-2.
Chevallier, J. (2013). Variance risk-premia in CO2 markets. Economic Modelling, 31(1), 598–605. https://doi.org/10.1016/j.econmod.2012.12.017.
Chevallier, J., Le Pen, Y., & Sévi, B. (2011). Options introduction and volatility in the EU ETS. Resource and Energy Economics, 33(4), 855–880. https://doi.org/10.1016/j.reseneeco.2011.07.002.
Clò, S., Battles, S., & Zoppoli, P. (2013). Policy options to improve the effectiveness of the EU emissions trading system: A multi-criteria analysis. Energy Policy, 57, 477–490. https://doi.org/10.1016/j.enpol.2013.02.015.
Conrad, C., Rittler, D., & Rotfuß, W. (2012). Modeling and explaining the dynamics of European Union Allowance prices at high-frequency. Energy Economics, 34(1), 316–326. https://doi.org/10.1016/j.eneco.2011.02.011.
Creti, A., Jouvet, P. A., & Mignon, V. (2012). Carbon price drivers: Phase I versus Phase II equilibrium? Energy Economics, 34(1), 327–334. https://doi.org/10.1016/j.eneco.2011.11.001.
Crossland, J., Li, B., & Roca, E. (2013). Is the European Union Emissions Trading Scheme (EU ETS) informationally efficient? Evidence from momentum-based trading strategies. Applied Energy, 109, 10–23. https://doi.org/10.1016/j.apenergy.2013.03.079.
Cummins, M. (2013). EU ETS market interactions: The case for multiple hypothesis testing approaches. Applied Energy, 111, 701–709. https://doi.org/10.1016/j.apenergy.2013.05.032.
Daskalakis, G., Psychoyios, D., & Markellos, R. N. (2009). Modeling CO2 emission allowance prices and derivatives: Evidence from the European trading scheme. Journal of Banking & Finance, 33(7), 1230–1241. https://doi.org/10.1016/j.jbankfin.2009.01.001.
de Perthuis, C., & Trotignon, R. (2014). Governance of CO2 markets: Lessons from the EU ETS. Energy Policy, 75(2014), 100–106. https://doi.org/10.1016/j.enpol.2014.05.033.
Engle, R. F. (1982). Autoregressive conditional heteroscedasticity with estimates of the variance of United Kingdom Inflation. Econometrica, 50(4), 987–1007.
Engle, R. F. (1983). Estimates of the variance of U.S. Inflation based upon the ARCH model. Journal of Money, Credit and Banking, 15(3), 286–301.
European Commission. (2012). Report on the functioning of the European Carbon Market 2012. Official Journal of the European Union, pp. 1–15. Retrieved from https://ec.europa.eu/clima/sites/clima/files/ets/reform/docs/com_2012_652_en.pdf. Accessed 20 June 2017.
European Commission. (2017a). Communication from the Commission. Publication of the total number of allowances in circulation for the purposes of the Market Stability Reserve under the EU Emissions Trading System established by Directive 2003/87/EC. Official Journal of the European Union, 5. Accessed 20 June 2017.
European Commission. (2017b). Report on the functioning of the European Carbon Market 2017. Retrieved from https://ec.europa.eu/commission/sites/beta-political/files/report-eu-carbon-market_en.pdf.
Fan, Y., Jia, J. J., Wang, X., & Xu, J. H. (2017). What policy adjustments in the EU ETS truly affected the carbon prices? Energy Policy, 103(November 2016), 145–164. https://doi.org/10.1016/j.enpol.2017.01.008.
Feng, Z.-H., Wei, Y.-M., & Wang, K. (2012). Estimating risk for the carbon market via extreme value theory: An empirical analysis of the EU ETS. Applied Energy, 99, 97–108. https://doi.org/10.1016/j.apenergy.2012.01.070.
FTI-CL Energy. (2017). Wake up! Reforming the EU emission trading scheme. Paris: FTI Consulting, Inc.
Gan, N. (2018). Will China’s carbon trading scheme work without an emissions cap? South China Morning Post. Retrieved from https://www.scmp.com/news/china/policies-politics/article/2125896/big-black-hole-chinas-carbon-market-ambitions. Accessed 19 July 2018.
Garcia, R. C., Contreras, J., Van Akkeren, M., Batista, J., & Garcia, C. (2005). A GARCH forecasting model to predict day—Ahead electricity prices. IEEE Transactions on Power Systems, 20(2), 867–874. https://doi.org/10.1109/TPWRS.2005.846044.
Gil-Alana, L. A., Gupta, R., & De Gracia, F. P. (2016). Modeling persistence of carbon emission allowance prices. Renewable and Sustainable Energy Reviews, 55, 221–226. https://doi.org/10.1016/j.rser.2015.10.056.
Guðbrandsdóttir, H. N., & Haraldsson, H. Ó. (2011). Predicting the price of EU ETS carbon credits. Systems Engineering Procedia, 1, 481–489. https://doi.org/10.1016/j.sepro.2011.08.070.
Gulbrandsen, L. H., & Stenqvist, C. (2013). The limited effect of EU emissions trading on corporate climate strategies: Comparison of a Swedish and a Norwegian pulp and paper company. Energy Policy, 56, 516–525. https://doi.org/10.1016/j.enpol.2013.01.014.
Gürler, U., Yenigün, D., Çaglarc, M., & Berk, E. (2016). On the Modeling of CO2 EUA and CER Prices of EU-ETS for the 2008–2012 Period. Applied Stochastic Models in Business and Industry, 32(4), 375–395. https://doi.org/10.1002/asmb.2154.
Hammoudeh, S., Nguyen, D. K., & Sousa, R. M. (2014). What explain the short-term dynamics of the prices of CO2 emissions? Energy Economics, 46, 122–135. https://doi.org/10.1016/j.eneco.2014.07.020.
Hao, J., & Zhang, J. E. (2013). GARCH option pricing models, the CBOE VIX, and variance risk premium. Journal of Financial Econometrics, 11(3), 556–580. https://doi.org/10.1093/jjfinec/nbs026.
Hintermann, B., Peterson, S., & Rickels, W. (2016). Price and market behavior in phase II of the EU ETS: A review of the literature. Review of Environmental Economics and Policy, 10(1), 108–128. https://doi.org/10.1093/reep/rev015.
Hou, A., & Suardi, S. (2012). A nonparametric GARCH model of crude oil price return volatility. Energy Economics, 34(2), 618–626. https://doi.org/10.1016/j.eneco.2011.08.004.
Ibrahim, B. M., & Kalaitzoglou, I. A. (2016). Why do carbon prices and price volatility change? Journal of Banking & Finance, 63, 76–94. https://doi.org/10.1016/j.jbankfin.2015.11.004.
International Energy Agency. (2016). World energy outlook 2016. Paris: OECD/IEA.
Kapoor, N., & Ghosh, S. (2014). Long-term association between European and Indian markets on carbon credit price. Renewable and Sustainable Energy Reviews, 38, 656–662. https://doi.org/10.1016/j.rser.2014.07.020.
Koch, N., Fuss, S., Grosjean, G., & Edenhofer, O. (2014). Causes of the EU ETS price drop: Recession, CDM, renewable policies or a bit of everything?-New evidence. Energy Policy, 73, 676–685. https://doi.org/10.1016/j.enpol.2014.06.024.
Koch, N., Grosjean, G., Fuss, S., & Edenhofer, O. (2016). Politics matters: Regulatory events as catalysts for price formation under cap-and-trade. Journal of Environmental Economics and Management, 78, 121–139. https://doi.org/10.1016/j.jeem.2016.03.004.
Labandeira, X., & Rodríguez, M. (2006). Mercados para el control del cambio climático en España. Cuadernos Económicos de ICE, 71, 177–197.
Li, W., & Lu, C. (2015). The research on setting a unified interval of carbon price benchmark in the national carbon trading market of China. Applied Energy, 155(2015), 728–739. https://doi.org/10.1016/j.apenergy.2015.06.018.
Liu, L., Chen, C., Zhao, Y., & Zhao, E. (2015). China’s carbon-emissions trading: Overview, challenges and future. Renewable and Sustainable Energy Reviews, 49, 254–266. https://doi.org/10.1016/j.rser.2015.04.076.
Liu, X., Fan, Y., & Wang, C. (2017). An estimation of the effect of carbon pricing for CO2 mitigation in China’s cement industry. Applied Energy, 185, 671–686. https://doi.org/10.1016/j.apenergy.2016.10.115.
Ljung, G. M., & Box, G. E. P. (1978). On a measure of lack of fit in time series models. Biometrika, 65(2), 297–303.
Mansanet-Bataller, M., Chevallier, J., Hervé-Mignucci, M., & Alberola, E. (2011). EUA and sCER phase II price drivers: Unveiling the reasons for the existence of the EUA-sCER spread. Energy Policy, 39(3), 1056–1069. https://doi.org/10.1016/j.enpol.2010.10.047.
Marcu, A., Egenhofer, C., Roth, S., & Stoefs, W. (2013). Backloading: A necessary, but not sufficient first step. Brussels: Centre for European Policy Studies.
Mazza, P., & Petitjean, M. (2015). How integrated is the European carbon derivatives market? Finance Research Letters, 15, 18–30. https://doi.org/10.1016/j.frl.2015.07.005.
Medina, V., Pardo, Á., & Pascual, R. (2014). The timeline of trading frictions in the European carbon market. Energy Economics, 42, 378–394. https://doi.org/10.1016/j.eneco.2014.01.008.
Mizrach, B. (2012). Integration of the global carbon markets. Energy Economics, 34(1), 335–349. https://doi.org/10.1016/j.eneco.2011.10.011.
Nazifi, F. (2013). Modelling the price spread between EUA and CER carbon prices. Energy Policy, 56, 434–445. https://doi.org/10.1016/j.enpol.2013.01.006.
Paolella, M. S., & Taschini, L. (2008). An econometric analysis of emission allowance prices. Journal of Banking & Finance, 32(10), 2022–2032. https://doi.org/10.1016/j.jbankfin.2007.09.024.
Perino, G., & Willner, M. (2016). Procrastinating reform: The impact of the market stability reserve on the EU ETS. Journal of Environmental Economics and Management, 80, 37–52. https://doi.org/10.1016/j.jeem.2016.09.006.
Pradhan, B. K., Ghosh, J., Yao, Y.-F., & Liang, Q.-M. (2017). Carbon pricing and terms of trade effects for China and India: A general equilibrium analysis. Economic Modelling, 63(January), 60–74. https://doi.org/10.1016/j.econmod.2017.01.017.
Quesada, J. M., Villar, E., Madrid-Salvador, V., & Molina, V. (2010). The gap between CO2 emissions and allocation rights in the spanish industry. Environmental Engineering and Management Journal, 9(9), 1161–1164.
Quesada-Rubio, J. M., Villar-Rubio, E., Mondéjar-Jiménez, J., & Molina-Moreno, V. (2011). Carbon dioxide emissions vs. allocation rights: Spanish case analysis. International Journal of Environmental Research, 5(2), 469–474.
Rannou, Y., & Barneto, P. (2016). Futures trading with information asymmetry and OTC predominance: Another look at the volume/volatility relations in the European carbon markets. Energy Economics, 53, 159–174. https://doi.org/10.1016/j.eneco.2014.10.010.
Sanin, M.-E., Violante, F., & Mansanet-Bataller, M. (2015). Understanding volatility dynamics in the EU-ETS market. Energy Policy, 82(1), 321–331. https://doi.org/10.1016/j.enpol.2015.02.024.
Seifert, J., Uhrig-Homburg, M., & Wagner, M. (2008). Dynamic behavior of CO2 spot prices. Journal of Environmental Economics and Management, 56(2), 180–194. https://doi.org/10.1016/j.jeem.2008.03.003.
Tang, B., Shen, C., & Gao, C. (2013). The efficiency analysis of the European CO2 futures market. Applied Energy, 112, 1544–1547. https://doi.org/10.1016/j.apenergy.2013.02.017.
Venmans, F. M. J. (2015). The effect of allocation above emissions and price uncertainty on abatement investments under the EU ETS. Journal of Cleaner Production, 126, 595–606. https://doi.org/10.1016/j.jclepro.2016.02.108.
Verdonk, M., Brink, C., Vollebergh, H., & Roelfsema, M. (2013). Evaluation of policy options to reform the EU Emissions Trading System. Effects on carbon price, emissions and the economy. Retrieved from http://www.pbl.nl/sites/default/files/cms/publicaties/PBL_2013_Evaluation-of-policy-options-to-reform-the-EU-ETS_934.pdf. Accessed 19 June 2017.
Villar-Rubio, E., & Huete-Morales, M. D. (2017). Market instruments for a sustainable economy: Environmental fiscal policy and manifest divergences. Review of Policy Research, 34(2), 255–269. https://doi.org/10.1111/ropr.12211.
Viteva, S., Veld-Merkoulova, Y. V., & Campbell, K. (2014). The forecasting accuracy of implied volatility from ECX carbon options. Energy Economics, 45(January 2008), 475–484. https://doi.org/10.1016/j.eneco.2014.08.005.
World Bank & Ecofys. (2016). Carbon pricing watch 2015. Washington, DC: World Bank. https://doi.org/10.1596/978-1-4648-0268-3.
Yu, L., Li, J., Tang, L., & Wang, S. (2015). Linear and nonlinear Granger causality investigation between carbon market and crude oil market: A multi-scale approach. Energy Economics, 51, 300–311. https://doi.org/10.1016/j.eneco.2015.07.005.
Zhang, Y. J., & Wei, Y. M. (2010). An overview of current research on EU ETS: Evidence from its operating mechanism and economic effect. Applied Energy, 87(6), 1804–1814. https://doi.org/10.1016/j.apenergy.2009.12.019.
Zheng, Z., Xiao, R., Shi, H., Li, G., & Zhou, X. (2015). Statistical regularities of Carbon emission trading market: Evidence from European Union allowances. Physica A: Statistical Mechanics and its Applications, 426, 9–15. https://doi.org/10.1016/j.physa.2015.01.018.
Zheng, Z., Yamasaki, K., Tenenbaum, J. N., & Stanley, H. E. (2013). Carbon-dioxide emissions trading and hierarchical structure in worldwide finance and commodities markets. Physical Review E, 87(1), 012814. https://doi.org/10.1103/PhysRevE.87.012814.
Acknowledgements
This contribution was carried out with funding and support from the Social-Labour Statistics and Demography project (30.BB.11.1101), being conducted at the Faculty of Labour Sciences (University of Granada).
Author information
Authors and Affiliations
Corresponding author
Rights and permissions
About this article
Cite this article
Galán-Valdivieso, F., Villar-Rubio, E. & Huete-Morales, MD. The erratic behaviour of the EU ETS on the path towards consolidation and price stability. Int Environ Agreements 18, 689–706 (2018). https://doi.org/10.1007/s10784-018-9411-3
Accepted:
Published:
Issue Date:
DOI: https://doi.org/10.1007/s10784-018-9411-3