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How AI shapes greener futures: Comparative insights from equity vs debt investment responses in renewable energy

  • Jun Wen
  • , Hua Tang Yin
  • , Chun Ping Chang
  • , Kai Tang
  • Xi'an Jiaotong University
  • Shih Chien University
  • Zhengzhou University

科研成果: 期刊稿件文章同行评审

21 引用 (Scopus)

摘要

This paper offers insights regarding the potential of AI software development to narrow the financing gap in renewables. By employing a panel of 49 economies covering 2011–2020, we estimate a two-way fixed effects model and reveal that AI software development significantly promotes equity investments in renewables while imposing no substantial effect on debt investments in the same field. Such results are robust to extra controls, outlier consideration, and the endogeneity concern. Moreover, it is found that AI software development's enhancing effect on equity investments in renewables manifests when the stringency of environmental policies, especially the intensity of public funding support for environmental-related R&D, is sufficiently high. Furthermore, AI software development has a more profound positive impact on equity investments in renewables in economies with more equal business opportunities and lower age dependency.

源语言英语
文章编号107700
期刊Energy Economics
136
DOI
出版状态已出版 - 8月 2024

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  1. 可持续发展目标 7 - 经济适用的清洁能源
    可持续发展目标 7 经济适用的清洁能源

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