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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

Research output: Contribution to journalArticlepeer-review

21 Scopus citations

Abstract

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.

Original languageEnglish
Article number107700
JournalEnergy Economics
Volume136
DOIs
StatePublished - Aug 2024

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 7 - Affordable and Clean Energy
    SDG 7 Affordable and Clean Energy

Keywords

  • AI software development
  • Energy
  • Environmental policy stringency
  • Investment in renewables
  • Social structure

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