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Editor's Choice Energy Prices, Technological Knowledge, and Innovation in Green Energy Technologies: a Dynamic Panel Analysis of European Patent Data

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  • Jürgen Kruse
  • Heike Wetzel

Abstract

We examine the effect of energy prices and technological knowledge on innovation in green energy technologies. In doing so, we consider both demand-pull effects, which induce innovative activity by increasing the expected value of innovations, and technology-push effects, which drive innovative activity by extending the technological capability of an economy. Our analysis is conducted using patent data from the European Patent Office on a panel of 26 Organization for Economic Co-operation and Development countries over the period 1978–2009. Utilizing a dynamic count data model for panel data, we analyze 11 distinct green energy technologies. Our results indicate that the existing knowledge stock is a significant driver of green energy innovation for all technologies. Furthermore, the results suggest that energy prices have a positive impact on innovation for some but not all technologies, and that the effect of energy prices and technological knowledge on green energy innovation becomes more pronounced after the Kyoto protocol agreement in 1997 (JEL codes: C33, O31, Q40, Q42, Q55).

Suggested Citation

  • Jürgen Kruse & Heike Wetzel, 2016. "Editor's Choice Energy Prices, Technological Knowledge, and Innovation in Green Energy Technologies: a Dynamic Panel Analysis of European Patent Data," CESifo Economic Studies, CESifo Group, vol. 62(3), pages 397-425.
    • Handle: RePEc:oup:cesifo:v:62:y:2016:i:3:p:397-425.
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    3. Paulius Šūmakaris & Renata Korsakienė & Deniss Ščeulovs, 2021. "Determinants of Energy Efficient Innovation: A Systematic Literature Review," Energies, MDPI, vol. 14(22), pages 1-20, November.
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    9. Eva Coll-Martínez & Malia Kedjar & Patricia Renou-Maissant, 2022. "(Green) Knowledge spillovers and regional environmental support: do they matter for the entry of new green tech-based firms?," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 69(1), pages 119-161, August.
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    More about this item

    JEL classification:

    • C33 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Models with Panel Data; Spatio-temporal Models
    • O31 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Innovation and Invention: Processes and Incentives
    • Q40 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy - - - General
    • Q42 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy - - - Alternative Energy Sources
    • Q55 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics - - - Environmental Economics: Technological Innovation

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