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Financial development as a new determinant of energy diversification: The role of natural capital and structural changes in Australia

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  1. Lee, Chi-Chuan & Fang, Yuzhu & Quan, Shiyun & Li, Xinghao, 2024. "Leveraging the power of artificial intelligence toward the energy transition: The key role of the digital economy," Energy Economics, Elsevier, vol. 135(C).
  2. Shah, Wasi Ul Hassan & Hao, Gang & Yan, Hong & Yasmeen, Rizwana & Xu, Xiaowei, 2024. "Natural resources utilization efficiency evaluation, determinant of productivity change, and production technology heterogeneity across developed and developing G20 economies," Technology in Society, Elsevier, vol. 77(C).
  3. Zhilun Jiao & Chenrui Zhang & Wenwen Li, 2025. "Artificial Intelligence in Energy Economics Research: A Bibliometric Review," Energies, MDPI, vol. 18(2), pages 1-30, January.
  4. 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).
  5. Liu, Guangqiang & Xu, Weiju & Nguyen, Quang Minh, 2024. "Can the energy transition drive economic development? Empirical analysis of China's provincial panel data," Technological Forecasting and Social Change, Elsevier, vol. 206(C).
  6. Zhong, Yufei & Chen, Xuesheng & Wang, Zhixian & Lin, Regina Fang-Ying, 2024. "The nexus among artificial intelligence, supply chain and energy sustainability: A time-varying analysis," Energy Economics, Elsevier, vol. 132(C).
  7. Wen, Jun & Yin, Hua-Tang & Chang, Chun-Ping & Tang, Kai, 2024. "How AI shapes greener futures: Comparative insights from equity vs debt investment responses in renewable energy," Energy Economics, Elsevier, vol. 136(C).
  8. Zhao, Qian & Wang, Lu & Stan, Sebastian-Emanuel & Mirza, Nawazish, 2024. "Can artificial intelligence help accelerate the transition to renewable energy?," Energy Economics, Elsevier, vol. 134(C).
  9. Ding, Tao & Li, Hao & Liu, Li & Feng, Kui, 2024. "An inquiry into the nexus between artificial intelligence and energy poverty in the light of global evidence," Energy Economics, Elsevier, vol. 136(C).
  10. Yang, Shengyao & Zhu, Meng Nan & Yu, Haiyan, 2024. "Are artificial intelligence and blockchain the key to unlocking the box of clean energy?," Energy Economics, Elsevier, vol. 134(C).
  11. Ren, Xiaocong & Huang, Zilong & He, Yiqun, 2024. "Financial warning for coal mining investments: Evidence from the fruit fly optimisation algorithm with backpropagation neural networks," Energy Economics, Elsevier, vol. 134(C).
  12. 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).
  13. Ye, Tuo & Zhao, Songyu & Lau, Chi Keung Marco & Chau, Frankie, 2024. "Social media sentiment of hydrogen fuel cell vehicles in China: Evidence from artificial intelligence algorithms," Energy Economics, Elsevier, vol. 133(C).
  14. Song, Malin & Pan, Heting & Shen, Zhiyang & Tamayo-Verleene, Kristine, 2024. "Assessing the influence of artificial intelligence on the energy efficiency for sustainable ecological products value," Energy Economics, Elsevier, vol. 131(C).
  15. Sun, Yunpeng & Pal, Shreya & Mahalik, Mantu Kumar & Gozgor, Giray & Lau, Chi Keung Marco, 2024. "Predicting energy source diversification in emerging Asia: The role of global supply chain pressure," Energy Economics, Elsevier, vol. 136(C).
  16. Chen, Yan & Zhang, Ruiqian & Lyu, Jiayi & Hou, Yuqi, 2024. "AI and Nuclear: A perfect intersection of danger and potential?," Energy Economics, Elsevier, vol. 133(C).
  17. Tao, Weiliang & Weng, Shimei & Chen, Xueli & ALHussan, Fawaz Baddar & Song, Malin, 2024. "Artificial intelligence-driven transformations in low-carbon energy structure: Evidence from China," Energy Economics, Elsevier, vol. 136(C).
  18. Chen, Yan & Zhang, Ruiqian & Lyu, Jiayi & Ma, Xin, 2024. "The butterfly effect of cloud computing on the low-carbon economy," Technological Forecasting and Social Change, Elsevier, vol. 204(C).
  19. Zhou, Wei & Zhuang, Yan & Chen, Yan, 2024. "How does artificial intelligence affect pollutant emissions by improving energy efficiency and developing green technology," Energy Economics, Elsevier, vol. 131(C).
  20. Wei, Xun & Pal, Shreya & Mahalik, Mantu Kumar & Liu, Weibai, 2024. "The role of energy efficiency in income inequality dynamics in developing Asia: Evidence from artificial neural networks," Energy Economics, Elsevier, vol. 136(C).
  21. Zhang, Xiaojing & Khan, Khalid & Shao, Xuefeng & Oprean-Stan, Camelia & Zhang, Qian, 2024. "The rising role of artificial intelligence in renewable energy development in China," Energy Economics, Elsevier, vol. 132(C).
  22. Agata JaroĊ„ & Anna Borucka, 2024. "Analysis of Energy System Transformations in the European Union," Energies, MDPI, vol. 17(23), pages 1-18, December.
  23. Zhao, Qiuyun & Jiang, Mei & Zhao, Zuoxiang & Liu, Fan & Zhou, Li, 2024. "The impact of green innovation on carbon reduction efficiency in China: Evidence from machine learning validation," Energy Economics, Elsevier, vol. 133(C).
  24. Zhang, Weike & Zeng, Ming, 2024. "Is artificial intelligence a curse or a blessing for enterprise energy intensity? Evidence from China," Energy Economics, Elsevier, vol. 134(C).
  25. Jiao, Anqi & Lu, Juntai & Ren, Honglin & Wei, Jia, 2024. "The role of AI capabilities in environmental management: Evidence from USA firms," Energy Economics, Elsevier, vol. 134(C).
  26. He, Guohua & Zhu, Peiling & Wu, Changjun, 2024. "Financial innovation, green investment, and sustainable mineral extractions in China," Resources Policy, Elsevier, vol. 90(C).
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