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Does economic growth matter? Technology-push, demand-pull and endogenous drivers of innovation in the renewable energy industry

Author

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  • Sam, Aflaki
  • Syed Abul, Basher
  • Andrea, Masini
Abstract
This paper aims to contribute to the longstanding technology-push vs. demand-pull debate and to the literature on renewable energy policy assessment. We argue that in addition to the traditional push–pull dichotomy, the drivers of technological change must be differentiated by whether they are exogenous or endogenous to the economic system and must be assessed with respect to their contribution to both the creation and the diffusion of innovation. We apply this perspective to study innovation in the renewable energy (RE) industry in 15 European Union countries from 1990 to 2012. Using different panel data estimators, we find that public R&D investments, policies supporting RE and per capita income all have a positive effect on either innovation creation or diffusion, whereas the variability of policy support has a negative impact on diffusion. However, impacts are heterogeneous and differ depending on the innovation dimension considered. Most importantly, we find that economic growth is a stronger driver of RE diffusion than technology-push or exogenous demand-pull mechanisms, whereas it is relatively ineffective at stimulating innovation creation. The effect of economic growth on RE diffusion exhibits a nonlinear, U-shaped pattern that resonates with the Environmental Kuznets Curve hypothesis. RE penetration remains negligible at low levels of growth whereas it increases sharply only after income per capita has reached a given threshold. This effect has both a direct cause (with increased affluence demand for environmental quality rises) and an indirect cause (with increased affluence expensive RE policies become more affordable and get implemented more extensively). Our findings have implications for policy making. They suggest that for RE diffusion to increase, innovation policies should be carefully balanced. Government action should be directed not only at shielding renewables from competition with fossil fuel technologies, but also at stimulating aggregated demand and economic growth.

Suggested Citation

  • Sam, Aflaki & Syed Abul, Basher & Andrea, Masini, 2016. "Does economic growth matter? Technology-push, demand-pull and endogenous drivers of innovation in the renewable energy industry," MPRA Paper 69773, University Library of Munich, Germany.
    • Handle: RePEc:pra:mprapa:69773
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    2. Basher, Syed Abul & Masini, Andrea & Aflaki, Sam, 2015. "Time series properties of the renewable energy diffusion process: Implications for energy policy design and assessment," Renewable and Sustainable Energy Reviews, Elsevier, vol. 52(C), pages 1680-1692.
    3. Ebadian, Mahmood & van Dyk, Susan & McMillan, James D. & Saddler, Jack, 2020. "Biofuels policies that have encouraged their production and use: An international perspective," Energy Policy, Elsevier, vol. 147(C).
    4. Sam, Aflaki & Syed Abul, Basher & Andrea, Masini, 2019. "Is your valley as green as it should be? Incorporating economic development into environmental performance indicators," MPRA Paper 97081, University Library of Munich, Germany.
    5. Lei Jin & Keran Duan & Xu Tang, 2018. "What Is the Relationship between Technological Innovation and Energy Consumption? Empirical Analysis Based on Provincial Panel Data from China," Sustainability, MDPI, vol. 10(1), pages 1-13, January.
    6. Zhao, Xin-Xin & Zheng, Mingbo & Fu, Qiang, 2022. "How natural disasters affect energy innovation? The perspective of environmental sustainability," Energy Economics, Elsevier, vol. 109(C).
    7. 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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    More about this item

    Keywords

    Deployment policy; Technological innovation; Renewable Energy; Environmental Kuznets Curve; Nonstationary Panel.;
    All these keywords.

    JEL classification:

    • C23 - Mathematical and Quantitative Methods - - Single Equation Models; Single 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
    • O33 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Technological Change: Choices and Consequences; Diffusion Processes
    • O38 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Government Policy
    • O44 - Economic Development, Innovation, Technological Change, and Growth - - Economic Growth and Aggregate Productivity - - - Environment and Growth

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