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Renewable electricity generation proposed pathways for the US and China

Author

Listed:
  • Ameyaw, Bismark
  • Li, Yao
  • Ma, Yongkai
  • Agyeman, Joy Korang
  • Appiah-Kubi, Jamal
  • Annan, Augustine

Abstract

In this study, we investigate the direction of the causal relationship between renewable electricity generation (REG) and economic growth for the US and China. The results show a unidirectional causality running from REG to economic growth for the US and China. Furthermore, a bi-directional long short-term (Bi-LSTM) algorithm is formulated to propose REG pathways based on four scenarios. First, we allow the Bi-LSTM network to make business-as-usual (BAU) predictions. The results show that the US and China’s REG as a percentage of total electricity output will hit ∼17.769 and ∼34.688 by 2030, respectively. Second, we set a 30% incremental target and estimate that the US and China REG will hit ∼17.198 and ∼31.105 by 2030, respectively. Third, the results from setting an incremental target of 50% depicts that the US and China REG will hit ∼19.844 and ∼35.891 by 2030, respectively. Finally, the 100% incremental target from the 2015 generation shows that the US and China REG are expected to hit ∼26.458 and ∼47.854 by 2030, respectively. As a policy implication, if investments in renewable electricity generation are not intensified, the US and China stand a risk of not meeting the pathway targets proposed.

Suggested Citation

  • Ameyaw, Bismark & Li, Yao & Ma, Yongkai & Agyeman, Joy Korang & Appiah-Kubi, Jamal & Annan, Augustine, 2021. "Renewable electricity generation proposed pathways for the US and China," Renewable Energy, Elsevier, vol. 170(C), pages 212-223.
    • Handle: RePEc:eee:renene:v:170:y:2021:i:c:p:212-223
    DOI: 10.1016/j.renene.2021.01.119
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    Citations

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    Cited by:

    1. Liu, Benxi & Liu, Tengyuan & Liao, Shengli & Wang, Haidong & Jin, Xiaoyu, 2023. "Short-term operation of cascade hydropower system sharing flexibility via high voltage direct current lines for multiple grids peak shaving," Renewable Energy, Elsevier, vol. 213(C), pages 11-29.
    2. Acaroğlu, Hakan & Güllü, Mustafa, 2022. "Climate change caused by renewable and non-renewable energy consumption and economic growth: A time series ARDL analysis for Turkey," Renewable Energy, Elsevier, vol. 193(C), pages 434-447.
    3. Shiyue Su & Md. Qamruzzaman & Salma Karim, 2023. "Charting a Sustainable Future: The Impact of Economic Policy, Environmental Taxation, Innovation, and Natural Resources on Clean Energy Consumption," Sustainability, MDPI, vol. 15(18), pages 1-34, September.
    4. Shah, Syed Ale Raza & Zhang, Qianxiao & Abbas, Jaffar & Tang, Hui & Al-Sulaiti, Khalid Ibrahim, 2023. "Waste management, quality of life and natural resources utilization matter for renewable electricity generation: The main and moderate role of environmental policy," Utilities Policy, Elsevier, vol. 82(C).
    5. Islam, Md. Monirul & Sohag, Kazi & Berezin, Andrey & Sergi, Bruno S., 2024. "Factor proportions model for Russian mineral supply-driven global energy transition: Does externality matter?," Energy Economics, Elsevier, vol. 129(C).
    6. Joseph Akpan & Oludolapo Olanrewaju, 2023. "Towards a Common Methodology and Modelling Tool for 100% Renewable Energy Analysis: A Review," Energies, MDPI, vol. 16(18), pages 1-42, September.

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