Skip to main content

Thank you for visiting nature.com. You are using a browser version with limited support for CSS. To obtain the best experience, we recommend you use a more up to date browser (or turn off compatibility mode in Internet Explorer). In the meantime, to ensure continued support, we are displaying the site without styles and JavaScript.

  • Analysis
  • Published:

Safeguarding the energy transition against political backlash to carbon markets

Abstract

Substantial renewable energy (RE) cost reductions have raised the prospect of a subsidy-free RE era of the energy transition. The envisaged policy cornerstones of this era are carbon markets, which create economic incentives for sustaining further RE deployment. However, this overlooks that exposing RE to market risks and increasing interest rates would result in substantially higher financing cost, which in turn would lead to much steeper carbon price paths. The resulting political pressure may provoke a price-depressing regulatory intervention, disrupting further RE expansion. Here we conceptualize this feedback and infer indicators for the risk of such an intervention. By quantifying these indicators for the European Union, we find that increased financing cost could double carbon prices in the long term, halve the rate of renewable capacity deployment in the next 15 years and considerably increase the profits of fossil fuel plants. This implies a substantial risk of pushback that policymakers should safeguard against.

This is a preview of subscription content, access via your institution

Access options

Buy this article

Prices may be subject to local taxes which are calculated during checkout

Fig. 1: Dynamic policy feedback from allowance prices to politics.
Fig. 2: ETS allowance price paths in the two scenarios.
Fig. 3: RE capacity deployment in both scenarios.
Fig. 4: Short-run profits of fossil technologies in both scenarios.

Similar content being viewed by others

Data availability

Raw data for Figs. 2–4 are available from Zenodo48. Data for core model assumptions (investment costs, fuel costs, etc.) are provided in the LIMES-EU documentation (Methods).

Code availability

The LIMES-EU model code is available upon request from the authors. Moreover, a process has been started to make the model available under an open-source licence. When this process will be completed, the code will be available for download from the PIK webpage http://pik-potsdam.de/limes.

References

  1. Jansen, M. et al. Offshore wind competitiveness in mature markets without subsidy. Nat. Energy 5, 614–622 (2020).

    Article  Google Scholar 

  2. World Energy Outlook 2020 (International Energy Agency, 2020).

  3. Hall, M. UK government asks how future renewables incentives should work. pv magazine (3 February 2021); https://www.pv-magazine.com/2021/02/03/uk-government-asks-how-future-renewables-incentives-should-work/

  4. Das „3-Säulen-Modell“. Konkretisierung der BDEW-Vorschläge für einen Finanzierungsrahmen für Erneuerbare-Energien-Anlagen (Bundesverband der Energie- und Wasserwirtschaft, 2019); https://www.bdew.de/media/documents/Stn_20190531_Positionspapier-Konkretisierung-des-3-Saeulen-Modells.pdf

  5. Burtraw, D., Palmer, K. & Kahn, D. A symmetric safety valve. Energy Policy 38, 4921–4932 (2010).

    Article  Google Scholar 

  6. Edenhofer, O. et al. Decarbonization and EU ETS Reform: Introducing a Price Floor to drive Low-Carbon Investments (Mercator Research Institute on Global Commons and Climate Change, 2017); https://www.mcc-berlin.net/fileadmin/data/C18_MCC_Publications/Decarbonization_EU_ETS_Reform_Policy_Paper.pdf

  7. Borenstein, S., Bushnell, J., Wolak, F. A. & Zaragoza-Watkins, M. Expecting the unexpected: emissions uncertainty and environmental market design. Am. Econ. Rev. 109, 3953–3977 (2019).

    Article  Google Scholar 

  8. Rabe, B. G. The durability of carbon cap-and-trade policy. Governance 29, 103–119 (2016).

    Article  Google Scholar 

  9. Wettestad, J. & Jevnaker, T. Smokescreen politics? Ratcheting up EU emissions trading in 2017. Rev. Policy Res. 36, 635–659 (2019).

    Article  Google Scholar 

  10. Pierson, P. Increasing returns, path dependence, and the study of politics. Am. Polit. Sci. Rev. 94, 251–267 (2000).

    Article  Google Scholar 

  11. Béland, D. & Schlager, E. Varieties of policy feedback research: looking backward, moving forward. Policy Stud. J. 47, 184–205 (2019).

    Article  Google Scholar 

  12. Skogstad, G. Policy feedback and self-reinforcing and self-undermining processes in EU biofuels policy. J. Eur. Public Policy 24, 21–41 (2017).

    Article  Google Scholar 

  13. Jacobs, A. M. & Weaver, R. K. When policies undo themselves: self-undermining feedback as a source of policy change. Governance 28, 441–457 (2015).

    Article  Google Scholar 

  14. del Río, P. & Mir-Artigues, P. Support for solar PV deployment in Spain: some policy lessons. Renew. Sustain. Energy Rev. 16, 5557–5566 (2012).

    Article  Google Scholar 

  15. Schmid, N., Sewerin, S. & Schmidt, T. S. Explaining advocacy coalition change with policy feedback. Policy Stud. J. 48, 1109–1134 (2020).

    Article  Google Scholar 

  16. Rubin, J. D. A model of intertemporal emission trading, banking, and borrowing. J. Environ. Econ. Manag. 31, 269–286 (1996).

    Article  Google Scholar 

  17. Kling, C. & Rubin, J. Bankable permits for the control of environmental pollution. J. Public Econ. 64, 101–115 (1997).

    Article  Google Scholar 

  18. Meckling, J., Kelsey, N., Biber, E. & Zysman, J. Winning coalitions for climate policy. Science 349, 1170–1171 (2015).

    Article  Google Scholar 

  19. Rozenberg, J., Vogt-Schilb, A. & Hallegatte, S. Instrument choice and stranded assets in the transition to clean capital. J. Environ. Econ. Manage. 100, 102183 (2020).

    Article  Google Scholar 

  20. Cook, B. J. Arenas of power in climate change policymaking. Policy Stud. J. 38, 465–486 (2010).

    Article  Google Scholar 

  21. Salant, S. W. What ails the European Union’s Emissions Trading System? J. Environ. Econ. Manag. 80, 6–19 (2016).

    Article  Google Scholar 

  22. Kitzing, L. Risk implications of renewable support instruments: comparative analysis of feed-in tariffs and premiums using a mean–variance approach. Energy 64, 495–505 (2014).

    Article  Google Scholar 

  23. Kitzing, L. & Weber, C. Support mechanisms for renewables: how risk exposure influences investment incentives. Int. J. Sustain. Energy Plan. Manage. 7, 113–130 (2015).

    Google Scholar 

  24. Tietjen, O., Pahle, M. & Fuss, S. Investment risks in power generation: a comparison of fossil fuel and renewable energy dominated markets. Energy Econ. 58, 174–185 (2016).

    Article  Google Scholar 

  25. Neuhoff, K., May, N. & Richstein, J. Renewable Energy Policy in the Age of Falling Technology Costs. (Deutsches Institut für Wirtschaftsforschung, 2018); https://www.diw.de/documents/publikationen/73/diw_01.c.594384.de/dp1746.pdf

  26. Ostrovnaya, A., Staffell, I., Donovan, C. & Gross, R. The high cost of electricity price uncertainty. SSRN Electron. J. SSRN Working Paper No. 3588288. https://ssrn.com/abstract=3588288 (2020).

  27. Schmidt, T. S. Low-carbon investment risks and de-risking. Nat. Clim. Chang. 4, 237–239 (2014).

    Article  Google Scholar 

  28. Schmidt, T. S. et al. Adverse effects of rising interest rates on sustainable energy transitions. Nat. Sustain. 2, 879–885 (2019).

    Article  Google Scholar 

  29. Grubb, M. et al. Induced innovation in energy technologies and systems: a review of evidence and potential implications for CO2 mitigation. Environ. Res. Lett. 16, 043007 (2021).

    Article  Google Scholar 

  30. Perino, G. New EU ETS Phase 4 rules temporarily puncture waterbed. Nat. Clim. Chang. 8, 262–264 (2018).

    Article  Google Scholar 

  31. Friedrich, M., Fries, S., Pahle, M. & Edenhofer, O. Rules vs. Discretion in Cap-and-Trade Programs: Evidence from the EU Emission Trading System. CESifo Working Paper No. 8637. https://www.cesifo.org/en/publikationen/2020/working-paper/rules-vs-discretion-cap-and-trade-programs-evidence-eu-emission (2020).

  32. Pahle, M. & Schweizerhof, H. Time for tough love: towards gradual risk transfer to renewables in Germany. Econ. Energy Environ. Policy 5, 117–134 (2016).

    Article  Google Scholar 

  33. Egli, F., Steffen, B. & Schmidt, T. S. A dynamic analysis of financing conditions for renewable energy technologies. Nat. Energy 3, 1084–1092 (2018).

    Article  Google Scholar 

  34. Egli, F. Renewable energy investment risk: an investigation of changes over time and the underlying drivers. Energy Policy 140, 111428 (2020).

    Article  Google Scholar 

  35. Kitzing, L., Mitchell, C. & Morthorst, P. E. Renewable energy policies in Europe: converging or diverging? Energy Policy 51, 192–201 (2012).

    Article  Google Scholar 

  36. Stokes, L. C. Short Circuiting Policy: Interest Groups and the Battle Over Clean Energy and Climate Policy in the American States (Oxford Univ. Press, 2020).

  37. Fuss, S. et al. A Framework for assessing the performance of cap-and-trade systems: insights from the European Union Emissions Trading System. Rev. Environ. Econ. Policy 12, 220–241 (2018).

    Article  Google Scholar 

  38. Edenhofer, O., Lessmann, K. & Tahri, I. Asset Pricing and the Carbon Beta of Externalities CESifo Working Paper 9269 (2021).

  39. Nahmmacher, P., Schmid, E., Hirth, L. & Knopf, B. Carpe diem: a novel approach to select representative days for long-term power system modeling. Energy 112, 430–442 (2016).

    Article  Google Scholar 

  40. Osorio, S., Pietzcker, R. C. & Tietjen, O. Documentation of LIMES-EU—A Long-term Electricity System Model for Europe (Potsdam Institute for Climate Impact Research, 2020); https://www.pik-potsdam.de/research/transformation-pathways/models/limes/limes-documentation-april-2020

  41. Zeyringer, M., Price, J., Fais, B., Li, P.-H. & Sharp, E. Designing low-carbon power systems for Great Britain in 2050 that are robust to the spatiotemporal and inter-annual variability of weather. Nat. Energy 3, 395–403 (2018).

    Article  Google Scholar 

  42. Isik, M., Dodder, R. & Kaplan, P. O. Transportation emissions scenarios for New York City under different carbon intensities of electricity and electric vehicle adoption rates. Nat. Energy 6, 92–104 (2021).

    Article  Google Scholar 

  43. Pye, S., Li, F. G. N., Price, J. & Fais, B. Achieving net-zero emissions through the reframing of UK national targets in the post-Paris Agreement era. Nat. Energy 2, 17024 (2017).

    Article  Google Scholar 

  44. E3Modelling. PRIMES Model. Version 2018. Detailed Model Description. https://e3modelling.com/wp-content/uploads/2018/10/The-PRIMES-MODEL-2018.pdf (2018).

  45. Friedrich, M., Mauer, E.-M., Pahle, M. & Tietjen, O. From Fundamentals to Financial Assets: The Evolution of Understanding Price Formation in the EU ETS. ZBW - Leibniz Information Centre for Economics Working Paper. https://www.econstor.eu/handle/10419/216726 (2020).

  46. Hintermann, B. Pass-through of CO2 emission costs to hourly electricity prices in Germany. J. Assoc. Environ. Resour. Econ. 3, 857–891 (2016).

    Google Scholar 

  47. Mosquera-López, S. & Nursimulu, A. Drivers of electricity price dynamics: comparative analysis of spot and futures markets. Energy Policy 126, 76–87 (2019).

    Article  Google Scholar 

  48. Pahle, M. et al. Safeguarding the energy transition against political backlash to carbon markets—figure raw data (Zenodo, 2021); https://doi.org/10.5281/zenodo.5128391

Download references

Acknowledgements

This research was conducted as part of the EU’s Horizon 2020 research and innovation programme, project INNOPATHS (grant agreement number 730403, M.P., O.T.), project GREENFIN (European Research Council, grant agreement number 948220, B.S.) and project FFF (German Federal Ministry of Education and Research, grant agreement 01LA1810C, M.P., S.O.). As part of the INNOPATHS project, it was partly supported by the Swiss State Secretariat for Education, Research and Innovation (SERI) under contract number 16.0222 (F.E., B.S., T.S.S.). The opinions expressed and arguments employed herein do not necessarily reflect the official views of the Swiss Government.

Author information

Authors and Affiliations

Authors

Contributions

M.P., S.O., O.T., T.S.S., B.S., F.E. and O.E. developed the research idea and the conceptualization. S.O., together with M.P. and O.T., conducted the model analysis. M.P., S.O., O.T., T.S.S., B.S. and F.E. interpreted the results. M.P., together with O.T., B.S., F.E. and T.S.S., wrote the paper. M.P. and T.S.S. secured project funding.

Corresponding author

Correspondence to M. Pahle.

Ethics declarations

Competing interests

The authors declare no competing interests.

Peer review

Peer review information

Nature Energy thanks Jan Abrell, Jean-Francois Mercure and the other, anonymous, reviewer(s) for their contribution to the peer review of this work.

Additional information

Publisher’s note Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Supplementary information

Supplementary Information

Supplementary Notes 1 and 2, Figs. 1 and 2, and Tables 1 and 2.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Pahle, M., Tietjen, O., Osorio, S. et al. Safeguarding the energy transition against political backlash to carbon markets. Nat Energy 7, 290–296 (2022). https://doi.org/10.1038/s41560-022-00984-0

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1038/s41560-022-00984-0

This article is cited by

Search

Quick links

Nature Briefing

Sign up for the Nature Briefing newsletter — what matters in science, free to your inbox daily.

Get the most important science stories of the day, free in your inbox. Sign up for Nature Briefing