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Do the benefits outweigh the disadvantages? Exploring the role of artificial intelligence in renewable energy

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  • Qin, Meng
  • Hu, Wei
  • Qi, Xinzhou
  • Chang, Tsangyao

Abstract

Probing the essential role of artificial intelligence in the energy market is crucial to improving the development of renewable energy. The research adopts the full and sub sample methodologies to identify the interrelation of artificial intelligence index (AII) and renewable energy indicator (REI) in China. From the quantitative discussions, it is shown that there are favourable and negative impacts from AII to REI, and the positive ones indicate that artificial intelligence plays an incentive role in developing renewable energy. However, this incentive role cannot permanently be established if AII's effect on REI is negative, which is mainly caused by non-renewable energy with less costs. In turn, there is a favourable influence from REI to AII during COVID-19, highlighting that the downturn in renewable energy and stock markets caused by this epidemic impedes the progress of artificial intelligence in China. In the context of a new round of scientific and technological revolution and industrial transformation, the research would offer meaningful recommendations to facilitate the development of artificial intelligence, accelerate the application and promotion of artificial intelligence technology in the field of renewable energy, and build efficient models, processors and data centres through shifting to renewable energy.

Suggested Citation

  • Qin, Meng & Hu, Wei & Qi, Xinzhou & Chang, Tsangyao, 2024. "Do the benefits outweigh the disadvantages? Exploring the role of artificial intelligence in renewable energy," Energy Economics, Elsevier, vol. 131(C).
  • Handle: RePEc:eee:eneeco:v:131:y:2024:i:c:s0140988324001117
    DOI: 10.1016/j.eneco.2024.107403
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    as
    1. Mohammad Mahdi Forootan & Iman Larki & Rahim Zahedi & Abolfazl Ahmadi, 2022. "Machine Learning and Deep Learning in Energy Systems: A Review," Sustainability, MDPI, vol. 14(8), pages 1-49, April.
    2. Jia, Zhijie & Wen, Shiyan & Lin, Boqiang, 2021. "The effects and reacts of COVID-19 pandemic and international oil price on energy, economy, and environment in China," Applied Energy, Elsevier, vol. 302(C).
    3. Chen, Qiang & Gong, Yuting, 2019. "The economic sources of China's CSI 300 spot and futures volatilities before and after the 2015 stock market crisis," International Review of Economics & Finance, Elsevier, vol. 64(C), pages 102-121.
    4. Pesaran, M. Hashem & Timmermann, Allan, 2005. "Small sample properties of forecasts from autoregressive models under structural breaks," Journal of Econometrics, Elsevier, vol. 129(1-2), pages 183-217.
    5. Naeem, Muhammad Abubakr & Appiah, Michael & Taden, John & Amoasi, Richard & Gyamfi, Bright Akwasi, 2023. "Transitioning to clean energy: Assessing the impact of renewable energy, bio-capacity and access to clean fuel on carbon emissions in OECD economies," Energy Economics, Elsevier, vol. 127(PA).
    6. Qin, Meng & Su, Chi-Wei & Lobonţ, Oana-Ramona & Umar, Muhammad, 2023. "Blockchain: A carbon-neutral facilitator or an environmental destroyer?," International Review of Economics & Finance, Elsevier, vol. 86(C), pages 604-615.
    7. Ding, Tao & Li, Jiangyuan & Shi, Xing & Li, Xuhui & Chen, Ya, 2023. "Is artificial intelligence associated with carbon emissions reduction? Case of China," Resources Policy, Elsevier, vol. 85(PB).
    8. Shahbaz, Muhammad & Siddiqui, Aaliyah & Ahmad, Shabbir & Jiao, Zhilun, 2023. "Financial development as a new determinant of energy diversification: The role of natural capital and structural changes in Australia," Energy Economics, Elsevier, vol. 126(C).
    9. Gozgor, Giray & Paramati, Sudharshan Reddy, 2022. "Does energy diversification cause an economic slowdown? Evidence from a newly constructed energy diversification index," Energy Economics, Elsevier, vol. 109(C).
    10. Apergis, Nicholas & Lau, Chi Keung & Xu, Bing, 2023. "The impact of COVID-19 on stock market liquidity: Fresh evidence on listed Chinese firms," International Review of Financial Analysis, Elsevier, vol. 90(C).
    11. Wang, Xinghua & Lee, Zhengzheng & Wu, Shuang & Qin, Meng, 2023. "Exploring the vital role of geopolitics in the oil market: The case of Russia," Resources Policy, Elsevier, vol. 85(PB).
    12. Andrews, Donald W K & Ploberger, Werner, 1994. "Optimal Tests When a Nuisance Parameter Is Present Only under the Alternative," Econometrica, Econometric Society, vol. 62(6), pages 1383-1414, November.
    13. Guinea, Laurentiu & Puch, Luis A. & Ruiz, Jesús, 2024. "Energy news shocks and their propagation to renewable and fossil fuels use," Energy Economics, Elsevier, vol. 130(C).
    14. Liu, Fangying & Su, Chi Wei & Qin, Meng & Lobonţ, Oana-Ramona, 2023. "Winner or loser? The bidirectional impact between geopolitical risk and energy transition from the renewable energy perspective," Energy, Elsevier, vol. 283(C).
    15. Qin, Meng & Su, Chi-Wei & Pirtea, Marilen Gabriel & Dumitrescu Peculea, Adelina, 2023. "The essential role of Russian geopolitics: A fresh perception into the gold market," Resources Policy, Elsevier, vol. 81(C).
    16. Lin, Boqiang & Li, Minyang, 2023. "Emerging Industry Development and Information Transmission in Financial Markets: Evidence from China's Renewable Energy," Energy Economics, Elsevier, vol. 128(C).
    17. Su, Chi Wei & Shao, Xuefeng & Jia, Zhijie & Nepal, Rabindra & Umar, Muhammad & Qin, Meng, 2023. "The rise of green energy metal: Could lithium threaten the status of oil?," Energy Economics, Elsevier, vol. 121(C).
    18. Lin, Boqiang & Wang, Siquan, 2024. "Sustainability of renewable energy in China: Enhanced strategic investment and displaced R&D expenditure," Energy Economics, Elsevier, vol. 131(C).
    19. Qin, Meng & Zhang, Xiaojing & Li, Yameng & Badarcea, Roxana Maria, 2023. "Blockchain market and green finance: The enablers of carbon neutrality in China," Energy Economics, Elsevier, vol. 118(C).
    20. Aslam, Sheraz & Herodotou, Herodotos & Mohsin, Syed Muhammad & Javaid, Nadeem & Ashraf, Nouman & Aslam, Shahzad, 2021. "A survey on deep learning methods for power load and renewable energy forecasting in smart microgrids," Renewable and Sustainable Energy Reviews, Elsevier, vol. 144(C).
    21. Lau, Chi Keung & Gozgor, Giray & Mahalik, Mantu Kumar & Patel, Gupteswar & Li, Jing, 2023. "Introducing a new measure of energy transition: Green quality of energy mix and its impact on CO2 emissions," Energy Economics, Elsevier, vol. 122(C).
    22. Sui, Cong & Chen, Nan & Yang, Mo, 2023. "Not all market participants are alike when facing crisis: Evidence from the 2015 Chinese stock market turbulence," Pacific-Basin Finance Journal, Elsevier, vol. 82(C).
    23. Sims, Christopher A, 1980. "Macroeconomics and Reality," Econometrica, Econometric Society, vol. 48(1), pages 1-48, January.
    24. Hong, Yun & Jiang, Yanhui & Su, Xiaojian & Deng, Chao, 2024. "Extreme state media reporting and the extreme stock market during COVID-19: A multi-quantile VaR Granger causality approach in China," Research in International Business and Finance, Elsevier, vol. 67(PA).
    25. Hansen, Bruce E, 2002. "Tests for Parameter Instability in Regressions with I(1) Processes," Journal of Business & Economic Statistics, American Statistical Association, vol. 20(1), pages 45-59, January.
    26. Andrews, Donald W K, 1993. "Tests for Parameter Instability and Structural Change with Unknown Change Point," Econometrica, Econometric Society, vol. 61(4), pages 821-856, July.
    27. Chishti, Muhammad Zubair & Sinha, Avik & Zaman, Umer & Shahzad, Umer, 2023. "Exploring the dynamic connectedness among energy transition and its drivers: Understanding the moderating role of global geopolitical risk," Energy Economics, Elsevier, vol. 119(C).
    28. Balcilar, Mehmet & Ozdemir, Zeynel Abidin & Arslanturk, Yalcin, 2010. "Economic growth and energy consumption causal nexus viewed through a bootstrap rolling window," Energy Economics, Elsevier, vol. 32(6), pages 1398-1410, November.
    29. Qin, Meng & Su, Yun Hsuan & Zhao, Zhengtang & Mirza, Nawazish, 2023. "The politics of climate: Does factionalism impede U.S. carbon neutrality?," Economic Analysis and Policy, Elsevier, vol. 78(C), pages 954-966.
    30. Ghazi Shukur & Panagiotis Mantalos, 2000. "A simple investigation of the Granger-causality test in integrated-cointegrated VAR systems," Journal of Applied Statistics, Taylor & Francis Journals, vol. 27(8), pages 1021-1031.
    31. Chen, Xun-Qi & Ma, Chao-Qun & Ren, Yi-Shuai & Lei, Yu-Tian & Huynh, Ngoc Quang Anh & Narayan, Seema, 2023. "Explainable artificial intelligence in finance: A bibliometric review," Finance Research Letters, Elsevier, vol. 56(C).
    32. Amasyali, Kadir & El-Gohary, Nora M., 2018. "A review of data-driven building energy consumption prediction studies," Renewable and Sustainable Energy Reviews, Elsevier, vol. 81(P1), pages 1192-1205.
    33. Sinha, Avik & Bekiros, Stelios & Hussain, Nazim & Nguyen, Duc Khuong & Khan, Sana Akbar, 2023. "How social imbalance and governance quality shape policy directives for energy transition in the OECD countries?," Energy Economics, Elsevier, vol. 120(C).
    34. Qin, Meng & Mirza, Nawazish & Su, Chi-Wei & Umar, Muhammad, 2023. "Exploring Bubbles in the Digital Economy: The Case of China," Global Finance Journal, Elsevier, vol. 57(C).
    35. Mehmet Balcilar & Zeynel Ozdemir, 2013. "The export-output growth nexus in Japan: a bootstrap rolling window approach," Empirical Economics, Springer, vol. 44(2), pages 639-660, April.
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    More about this item

    Keywords

    Artificial intelligence; Renewable energy; Time-dependant interrelationship; China;
    All these keywords.

    JEL classification:

    • O13 - Economic Development, Innovation, Technological Change, and Growth - - Economic Development - - - Agriculture; Natural Resources; Environment; Other Primary Products
    • O33 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Technological Change: Choices and Consequences; Diffusion Processes
    • 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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