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Does Technological Innovation Promote Renewable Energy Investment?

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  • Qian Zhao
  • Chi-Wei Su
  • Jun-Mo Guo

Abstract

Technological innovation ( TI ) is conducive to economic growth, but whether it promotes the development of renewable energy remains controversial. This study aims to analyze the interrelation between TI and renewable energy investment ( REI ) to see how to promote the coordinated development of TI and REI . By using the bootstrap rolling-window subsample Granger causality test and the sample from January 2010 to July 2022 in China, we find that the influence of a country’s overall TI level on REI is twofold. On the one hand, the increase in a country’s overall TI level has a positive influence on REI by reducing the renewable energy risk. On the other hand, TI can reduce REI by bringing more demand for relatively stable non-renewable energy. Conversely, REI has both positive and negative influences on a country’s overall TI level. Additional REI promotes renewable energy-related TI , but it may crowd out the investment in other fields and impede TI . Based on these results, policymakers intended to achieve sustainable development should encourage renewable energy TI , which is conducive to reducing the risk of renewable energy. In addition, policymakers should pay attention to REI ’s role in crowing out the investment in other fields, and take measures to promote TI of the whole society. JEL Classification: C32, O32, Q2.

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  • Qian Zhao & Chi-Wei Su & Jun-Mo Guo, 2024. "Does Technological Innovation Promote Renewable Energy Investment?," SAGE Open, , vol. 14(1), pages 21582440241, February.
    • Handle: RePEc:sae:sagope:v:14:y:2024:i:1:p:21582440241227760
    DOI: 10.1177/21582440241227760
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    More about this item

    Keywords

    technological innovation; renewable energy investment; rolling-window; bootstrap;
    All these keywords.

    JEL classification:

    • C32 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes; State Space Models
    • O32 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Management of Technological Innovation and R&D
    • Q2 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Renewable Resources and Conservation

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