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How can visual communications aid in renewable energy development?

Author

Listed:
  • Li, Na
  • Jin, Yanling
  • Li, Ying
  • Ma, Xinyuan

Abstract

The development of information and communication technology (ICT), a subset of many functions such as visual communication, can positively affect renewable energy development in different countries. In this paper, focusing on China as the world's largest emitter of greenhouse gases, the relationship between visual communication and the deployment of renewable energy is investigated using the dynamic ARDL (autoregressive distributed lag) method and annual data from 1990 to 2021. Regarding the empirical estimations, a 1% increase in green finance market size leads to an improvement of sustainable energy deployment by 0.01%. In addition, the ICT development index has a significant and positive effect only in the long term. Furthermore, there is evidence of uni-directional causality from ICT to renewable energy deployment in the medium and long term. The recommended practical policies by the research are developing green financing tools, green economic growth policies, and creating virtual portals for financial interactions.

Suggested Citation

  • Li, Na & Jin, Yanling & Li, Ying & Ma, Xinyuan, 2023. "How can visual communications aid in renewable energy development?," Renewable Energy, Elsevier, vol. 208(C), pages 702-708.
    • Handle: RePEc:eee:renene:v:208:y:2023:i:c:p:702-708
    DOI: 10.1016/j.renene.2023.03.108
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    2. Andrea Tortorelli & Giulia Sabina & Barbara Marchetti, 2024. "A Cooperative Multi-Agent Q-Learning Control Framework for Real-Time Energy Management in Energy Communities," Energies, MDPI, vol. 17(20), pages 1-27, October.

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    More about this item

    Keywords

    Visual communications; Green finance; Renewable energy; ICT; China; Dynamic ARDL;
    All these keywords.

    JEL classification:

    • D83 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Search; Learning; Information and Knowledge; Communication; Belief; Unawareness
    • Q41 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy - - - Demand and Supply; Prices
    • 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

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