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Comparing push and pull measures for PV and wind in Europe

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  • Laleman, Ruben
  • Albrecht, Johan

Abstract

Successful technological innovation frameworks are based on synergistic packages of technology-push and demand-pull measures. As the massive deployment of premature renewable energy technologies risks becoming very expensive, the debate on the optimal trajectory of renewable technologies should explicitly consider the balance between deployment incentives and R&D efforts.

Suggested Citation

  • Laleman, Ruben & Albrecht, Johan, 2014. "Comparing push and pull measures for PV and wind in Europe," Renewable Energy, Elsevier, vol. 61(C), pages 33-37.
    • Handle: RePEc:eee:renene:v:61:y:2014:i:c:p:33-37
    DOI: 10.1016/j.renene.2012.04.025
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    Cited by:

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    2. El Kasmioui, O. & Verbruggen, A. & Ceulemans, R., 2015. "The 2013 reforms of the Flemish renewable electricity support: Missed opportunities," Renewable Energy, Elsevier, vol. 83(C), pages 905-917.
    3. Costantini, Valeria & Crespi, Francesco & Palma, Alessandro, 2017. "Characterizing the policy mix and its impact on eco-innovation: A patent analysis of energy-efficient technologies," Research Policy, Elsevier, vol. 46(4), pages 799-819.
    4. Clément Bonnet, 2016. "Measuring Knowledge with Patent Data: an Application to Low Carbon Energy Technologies," EconomiX Working Papers 2016-37, University of Paris Nanterre, EconomiX.
    5. Corsatea, Teodora Diana & Giaccaria, Sergio & Arántegui, Roberto Lacal, 2014. "The role of sources of finance on the development of wind technology," Renewable Energy, Elsevier, vol. 66(C), pages 140-149.
    6. Clément Bonnet, 2017. "Measuring Inventive Performance with Patent Data: an Application to Low Carbon Energy Technologies," Working Papers 1709, Chaire Economie du climat.
    7. Valeria Costantini & Francesco Crespi & Alessandro Palma, 2015. "Characterizing the policy mix and its impact on eco-innovation in energy-efficient technologies," SEEDS Working Papers 1115, SEEDS, Sustainability Environmental Economics and Dynamics Studies, revised Jun 2015.
    8. Lee, Jungwoo & Yang, Jae-Suk, 2019. "Global energy transitions and political systems," Renewable and Sustainable Energy Reviews, Elsevier, vol. 115(C).
    9. Clement Bonnet, 2020. "Measuring Knowledge with Patent Data: an Application to Low Carbon Energy Technologies," Working Papers hal-02971680, HAL.
    10. Paul Kerr & Donald R. Noble & Jonathan Hodges & Henry Jeffrey, 2021. "Implementing Radical Innovation in Renewable Energy Experience Curves," Energies, MDPI, vol. 14(9), pages 1-28, April.
    11. Argentiero, Amedeo & Bollino, Carlo Andrea & Micheli, Silvia & Zopounidis, Constantin, 2018. "Renewable energy sources policies in a Bayesian DSGE model," Renewable Energy, Elsevier, vol. 120(C), pages 60-68.
    12. Costantini, Valeria & Crespi, Francesco & Martini, Chiara & Pennacchio, Luca, 2015. "Demand-pull and technology-push public support for eco-innovation: The case of the biofuels sector," Research Policy, Elsevier, vol. 44(3), pages 577-595.
    13. Wegner, Marie-Sophie & Hall, Stephen & Hardy, Jeffrey & Workman, Mark, 2017. "Valuing energy futures; a comparative analysis of value pools across UK energy system scenarios," Applied Energy, Elsevier, vol. 206(C), pages 815-828.
    14. Zheng-Xia He & Shi-Chun Xu & Qin-Bin Li & Bin Zhao, 2018. "Factors That Influence Renewable Energy Technological Innovation in China: A Dynamic Panel Approach," Sustainability, MDPI, vol. 10(1), pages 1-30, January.

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