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Emissions trading and innovation in the German electricity industry — impact of possible design options for an emissions trading scheme on innovation strategies in the German electricity industry

In: Emissions Trading and Business

Author

Listed:
  • Martin Cames

    (Öko-Institut — Institute for Applied Ecology)

  • Anke Weidlich

    (Universität Karlsruhe (TH))

Abstract

The paper examines what impact different design options of emissions trading have on the innovation process in the electric power industry. Recent concepts of innovation research in evolutionary economics are reviewed and investment cycles in the German power sector are examined before taking a closer look at different emissions trading design options and their respective impact on power generation costs.

Suggested Citation

  • Martin Cames & Anke Weidlich, 2006. "Emissions trading and innovation in the German electricity industry — impact of possible design options for an emissions trading scheme on innovation strategies in the German electricity industry," Springer Books, in: Ralf Antes & Bernd Hansjürgens & Peter Letmathe (ed.), Emissions Trading and Business, pages 39-51, Springer.
  • Handle: RePEc:spr:sprchp:978-3-7908-1748-5_4
    DOI: 10.1007/3-7908-1748-1_4
    as

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    Citations

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    Cited by:

    1. Li, Zhiguo & Wang, Jie, 2022. "Spatial spillover effect of carbon emission trading on carbon emission reduction: Empirical data from pilot regions in China," Energy, Elsevier, vol. 251(C).
    2. Zhiguo Li & Jie Wang & Shuai Che, 2021. "Synergistic Effect of Carbon Trading Scheme on Carbon Dioxide and Atmospheric Pollutants," Sustainability, MDPI, vol. 13(10), pages 1-16, May.
    3. Maogang Tang & Ruihan Zhang & Zhen Li & Baijun Wu, 2021. "Assessing the impact of tradable discharge permit on pollution reduction and innovation: micro-evidence from Chinese industrial enterprises," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 23(11), pages 16911-16933, November.

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