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Public support for carbon pricing stayed persistent in Germany

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Research area:environment-climatemitigation-policy

What the study found

The study found that public support for carbon pricing in Germany is very persistent over time. It also found that people facing high energy costs became less supportive, and that preferences for using revenue changed over time.

Why the authors say this matters

The authors conclude that it is crucial to adapt climate policies in response to increased energy costs. The study suggests that changes in public support and in preferred revenue use matter for how climate policies are designed and maintained.

What the researchers tested

The researchers used unique longitudinal data from three surveys conducted between 2019 and 2022 in Germany. They analyzed changes in support for carbon pricing and for different ways of using the revenue, using panel methods, which track the same people over time.

What worked and what didn't

Support for carbon pricing was found to be highly stable across the survey period. Support decreased among people with high energy costs. For revenue use, support for social cushioning became more popular over time, while support for green spending decreased.

What to keep in mind

The summary only reports findings from Germany and from three surveys between 2019 and 2022. The abstract does not describe other limitations.

Key points

  • Support for carbon pricing in Germany was very persistent over time.
  • People who incurred high energy costs decreased their support.
  • Support for social cushioning increased over time.
  • Support for green spending decreased over time.
  • The authors say climate policies should be adapted to increased energy costs.

Disclosure

Research title:
Public support for carbon pricing stayed persistent in Germany
Authors:
Stephan Sommer, Théo Konc, Stefan Drews
Institutions:
Potsdam Institute for Climate Impact Research, RWI – Leibniz Institute for Economic Research, Technische Universität Berlin, Universidad de Málaga, Wageningen University & Research
Publication date:
2026-02-24
DOI:
10.1016/j.ecolecon.2026.108970
OpenAlex record:
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AI provenance: This post was generated by gpt-5.4-mini (OpenAI). The original authors did not write or review this post.

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