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Understanding the effects of artificial intelligence on energy transition: The moderating role of Paris Agreement

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  • Chishti, Muhammad Zubair
  • Xia, Xiqiang
  • Dogan, Eyup

Abstract

This study contributes to the existing literature by investigating and confirming a range of diverse outcomes related to the interplay of factors shaping the global energy transition (ET). Employing advanced methodologies, including the extension of the QVAR technique to short-term (SR), medium-term (MR), and long-term (LR) connectedness analysis, as well as the application of the CQ method to explore relationships within varying market conditions and timeframes, the study examines the interconnectedness of critical variables: artificial intelligence (AI), the Belt and Road Initiative (BRI), the Paris Agreement (PA), green technologies (GT), geopolitical risk (GPR), and ET. The findings highlight several crucial insights. Firstly, all selected variables demonstrate substantial interconnectedness across different time horizons, except for MR, which exhibits comparatively weaker connectedness than SR and LR. Secondly, independent series reveal diverse impacts on ET across various market conditions and periods. For example, in SR, most series produce mixed effects on ET, with BRI having primarily adverse consequences and GPR predominantly yielding positive impacts. In MR, the influence of AI, PA, and GT on ET varies, while BRI enhances ET, and GPR essentially hampers it. Notably, in LR, AI, BRI, PA, and GT significantly promote ET, while GPR disrupts its progress. Additionally, the study underscores the dynamic and time-varying nature of the relationships between AI, BRI, PA, GT, GPR, and ET across different market conditions, thus holding essential implications for shaping global policies to foster sustainable energy transitions.

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  • Chishti, Muhammad Zubair & Xia, Xiqiang & Dogan, Eyup, 2024. "Understanding the effects of artificial intelligence on energy transition: The moderating role of Paris Agreement," Energy Economics, Elsevier, vol. 131(C).
    • Handle: RePEc:eee:eneeco:v:131:y:2024:i:c:s0140988324000963
    DOI: 10.1016/j.eneco.2024.107388
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    References listed on IDEAS

    as
    1. Boungou, Whelsy & Yatié, Alhonita, 2022. "The impact of the Ukraine–Russia war on world stock market returns," Economics Letters, Elsevier, vol. 215(C).
    2. Chatziantoniou, Ioannis & Gabauer, David & Stenfors, Alexis, 2021. "Interest rate swaps and the transmission mechanism of monetary policy: A quantile connectedness approach," Economics Letters, Elsevier, vol. 204(C).
    3. Wang, Banban & Lin, Ping, 2022. "Whether China's overseas energy infrastructure projects dirtier or cleaner after the belt and road initiative?," Energy Policy, Elsevier, vol. 166(C).
    4. Ullah, Atta & Ullah, Saif & Pinglu, Chen & Khan, Saba, 2023. "Impact of FinTech, governance and environmental taxes on energy transition: Pre-post COVID-19 analysis of belt and road initiative countries," Resources Policy, Elsevier, vol. 85(PA).
    5. Dario Caldara & Matteo Iacoviello, 2022. "Measuring Geopolitical Risk," American Economic Review, American Economic Association, vol. 112(4), pages 1194-1225, April.
    6. Wei, Jia & Wen, Jun & Wang, Xiao-Yang & Ma, Jie & Chang, Chun-Ping, 2023. "Green innovation, natural extreme events, and energy transition: Evidence from Asia-Pacific economies," Energy Economics, Elsevier, vol. 121(C).
    7. Luo, Shunjun & Zhang, Shaohui, 2022. "How R&D expenditure intermediate as a new determinants for low carbon energy transition in Belt and Road Initiative economies," Renewable Energy, Elsevier, vol. 197(C), pages 101-109.
    8. Stef, Nicolae & Başağaoğlu, Hakan & Chakraborty, Debaditya & Ben Jabeur, Sami, 2023. "Does institutional quality affect CO2 emissions? Evidence from explainable artificial intelligence models," Energy Economics, Elsevier, vol. 124(C).
    9. Ghosh, Bikramaditya & Pham, Linh & Teplova, Tamara & Umar, Zaghum, 2023. "COVID-19 and the quantile connectedness between energy and metal markets," Energy Economics, Elsevier, vol. 117(C).
    10. 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).
    11. Debia, Sébastien & Pineau, Pierre-Olivier & Siddiqui, Afzal S., 2019. "Strategic use of storage: The impact of carbon policy, resource availability, and technology efficiency on a renewable-thermal power system," Energy Economics, Elsevier, vol. 80(C), pages 100-122.
    12. Chen, Wei & Zou, Wandan & Zhong, Kaiyang & Aliyeva, Alina, 2023. "Machine learning assessment under the development of green technology innovation: A perspective of energy transition," Renewable Energy, Elsevier, vol. 214(C), pages 65-73.
    13. Srivastava, Praveen Ranjan & Mangla, Sachin Kumar & Eachempati, Prajwal & Tiwari, Aviral Kumar, 2023. "An explainable artificial intelligence approach to understanding drivers of economic energy consumption and sustainability," Energy Economics, Elsevier, vol. 125(C).
    14. 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).
    15. Cheng, Si & Wang, Banban, 2023. "Impact of the Belt and Road Initiative on China's overseas renewable energy development finance: Effects and features," Renewable Energy, Elsevier, vol. 206(C), pages 1036-1048.
    16. Gong, Xiao-Li & Zhao, Min & Wu, Zhuo-Cheng & Jia, Kai-Wen & Xiong, Xiong, 2023. "Research on tail risk contagion in international energy markets—The quantile time-frequency volatility spillover perspective," Energy Economics, Elsevier, vol. 121(C).
    17. Jia, Jun-Jun & Zhu, Mengshu & Wei, Chu, 2022. "Household cooking in the context of carbon neutrality: A machine-learning-based review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 168(C).
    18. Irfan, Muhammad & Rehman, Mubeen Abdur & Razzaq, Asif & Hao, Yu, 2023. "What derives renewable energy transition in G-7 and E-7 countries? The role of financial development and mineral markets," Energy Economics, Elsevier, vol. 121(C).
    19. Tian, Guangning & Peng, Yuchao & Meng, Yuhao, 2023. "Forecasting crude oil prices in the COVID-19 era: Can machine learn better?," Energy Economics, Elsevier, vol. 125(C).
    20. Dogan, Eyup & Chishti, Muhammad Zubair & Karimi Alavijeh, Nooshin & Tzeremes, Panayiotis, 2022. "The roles of technology and Kyoto Protocol in energy transition towards COP26 targets: Evidence from the novel GMM-PVAR approach for G-7 countries," Technological Forecasting and Social Change, Elsevier, vol. 181(C).
    21. Prabir De & Chiranjib Neogi, 2011. "Global Financial Crisis : Implications for Trade and Industrial Restructuring in India," Trade Working Papers 23242, East Asian Bureau of Economic Research.
    22. Shakib, Mohammed & Yumei, Hou & Rauf, Abdul & Alam, Md. Mahmudul & Murshed, Muntasir & Mahmood, Haider, 2022. "Revisiting the energy-economy-environment relationships for attaining environmental sustainability: Evidence from Belt and Road Initiative countries," OSF Preprints ktj5n, Center for Open Science.
    23. Han, Heejoon & Linton, Oliver & Oka, Tatsushi & Whang, Yoon-Jae, 2016. "The cross-quantilogram: Measuring quantile dependence and testing directional predictability between time series," Journal of Econometrics, Elsevier, vol. 193(1), pages 251-270.
    24. Yan Wu & Cong Hu & Xunpeng Shi, 2021. "Heterogeneous Effects of the Belt and Road Initiative on Energy Efficiency in Participating Countries," Energies, MDPI, vol. 14(18), pages 1-21, September.
    25. Du, Juntao & Shen, Zhiyang & Song, Malin & Vardanyan, Michael, 2023. "The role of green financing in facilitating renewable energy transition in China: Perspectives from energy governance, environmental regulation, and market reforms," Energy Economics, Elsevier, vol. 120(C).
    26. Liu, Haiying & Alharthi, Majed & Atil, Ahmed & Zafar, Muhammad Wasif & Khan, Irfan, 2022. "A non-linear analysis of the impacts of natural resources and education on environmental quality: Green energy and its role in the future," Resources Policy, Elsevier, vol. 79(C).
    27. Sharif, Arshian & Brahim, Mariem & Dogan, Eyup & Tzeremes, Panayiotis, 2023. "Analysis of the spillover effects between green economy, clean and dirty cryptocurrencies," Energy Economics, Elsevier, vol. 120(C).
    28. Duarte, Rosa & García-Riazuelo, Álvaro & Sáez, Luis Antonio & Sarasa, Cristina, 2022. "Economic and territorial integration of renewables in rural areas: Lessons from a long-term perspective," Energy Economics, Elsevier, vol. 110(C).
    29. 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).
    30. Bashir, Muhammad Farhan & Shahbaz, Muhammad & Malik, Muhammad Nasir & Ma, Beiling & Wang, Jianming, 2023. "Energy transition, natural resource consumption and environmental degradation: The role of geopolitical risk in sustainable development," Resources Policy, Elsevier, vol. 85(PA).
    31. Prabir De & Chiranjib Neogi, 2011. "Global Financial Crisis : Implications for Trade and Industrial Restructuring in India," Microeconomics Working Papers 23242, East Asian Bureau of Economic Research.
    32. Zhang, Shaohe & Shinwari, Riazullah & Zhao, Shikuan & Dagestani, Abd Alwahed, 2023. "Energy transition, geopolitical risk, and natural resources extraction: A novel perspective of energy transition and resources extraction," Resources Policy, Elsevier, vol. 83(C).
    33. Wang, Shanyong & Wang, Jing & Wang, Wenfu, 2023. "Do geopolitical risks facilitate the global energy transition? Evidence from 39 countries in the world," Resources Policy, Elsevier, vol. 85(PB).
    34. Lee, Chien-Chiang & He, Zhi-Wen & Yuan, Zihao, 2023. "A pathway to sustainable development: Digitization and green productivity," Energy Economics, Elsevier, vol. 124(C).
    35. De, Prabir & Neogi, Chiranjib, 2011. "Global Financial and Economic Crisis: Implications for Trade and Industrial Restructuring in South Asia," ADBI Working Papers 294, Asian Development Bank Institute.
    36. 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).
    37. Gozgor, Giray & Khalfaoui, Rabeh & Yarovaya, Larisa, 2023. "Global supply chain pressure and commodity markets: Evidence from multiple wavelet and quantile connectedness analyses," Finance Research Letters, Elsevier, vol. 54(C).
    38. Yousaf, Imran & Nekhili, Ramzi & Umar, Muhammad, 2022. "Extreme connectedness between renewable energy tokens and fossil fuel markets," Energy Economics, Elsevier, vol. 114(C).
    39. Xu, Si & Zhang, You & Chen, Lan & Leong, Lin Woon & Muda, Iskandar & Ali, Anis, 2023. "How Fintech and effective governance derive the greener energy transition: Evidence from panel-corrected standard errors approach," Energy Economics, Elsevier, vol. 125(C).
    40. Naeem, Muhammad Abubakr & Sadorsky, Perry & Karim, Sitara, 2023. "Sailing across climate-friendly bonds and clean energy stocks: An asymmetric analysis with the Gulf Cooperation Council Stock markets," Energy Economics, Elsevier, vol. 126(C).
    41. Asadi, Mehrad & Roudari, Soheil & Tiwari, Aviral Kumar & Roubaud, David, 2023. "Scrutinizing commodity markets by quantile spillovers: A case study of the Australian economy," Energy Economics, Elsevier, vol. 118(C).
    42. 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).
    43. Lee, Chien-Chiang & Qin, Shuai & Li, Yaya, 2022. "Does industrial robot application promote green technology innovation in the manufacturing industry?," Technological Forecasting and Social Change, Elsevier, vol. 183(C).
    44. Zhang, Dongyang & Guo, Yumei & Taghizadeh-Hesary, Farhad, 2023. "Green finance and energy transition to achieve net-zero emission target," Energy Economics, Elsevier, vol. 126(C).
    45. Chishti, Muhammad Zubair & Arfaoui, Nadia & Cheong, Calvin W.H., 2023. "Exploring the time-varying asymmetric effects of environmental regulation policies and human capital on sustainable development efficiency: A province level evidence from China," Energy Economics, Elsevier, vol. 126(C).
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