{"title":"评估能源弹性的包容性绿色金融方法:从能源战略角度整合人工智能(AI)的利用","authors":"Beichen Xu","doi":"10.1016/j.esr.2025.101696","DOIUrl":null,"url":null,"abstract":"<div><div>The paper investigates the use of Artificial Intelligence (AI) in the energy strategy perspective of energy resilience with the inclusive role of green finance in China. The data from 2012 to 2022 is assessed using split analysis, regression analysis, heterogeneity analysis, Bayesian underlying process, and robustness analysis technique. The results revealed that AI utilization has the potential to generate a shift in the perspective of energy strategy and might lead China to the following heights. The study findings confirmed that AI utilization enhances energy resilience in energy systems. Furthermore, AI technology also has a significant role in retaining the inclusiveness of green finance from an energy industrial perspective. However, our findings confirmed that artificial intelligence in the energy industry enhances energy sustainability growth in energy generation and leads to the adoption of modern financing options like green finance. Based on research findings, the paper explains multiple policy guidelines for policymakers in designing robust AI-supported energy strategies to enhance their long-term resilience with financial sustainability in China.</div></div>","PeriodicalId":11546,"journal":{"name":"Energy Strategy Reviews","volume":"59 ","pages":"Article 101696"},"PeriodicalIF":7.9000,"publicationDate":"2025-04-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Inclusive green finance approach to assess energy resilience: Integrating artificial intelligence (AI) utilization in energy strategy perspective\",\"authors\":\"Beichen Xu\",\"doi\":\"10.1016/j.esr.2025.101696\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><div>The paper investigates the use of Artificial Intelligence (AI) in the energy strategy perspective of energy resilience with the inclusive role of green finance in China. The data from 2012 to 2022 is assessed using split analysis, regression analysis, heterogeneity analysis, Bayesian underlying process, and robustness analysis technique. The results revealed that AI utilization has the potential to generate a shift in the perspective of energy strategy and might lead China to the following heights. The study findings confirmed that AI utilization enhances energy resilience in energy systems. Furthermore, AI technology also has a significant role in retaining the inclusiveness of green finance from an energy industrial perspective. However, our findings confirmed that artificial intelligence in the energy industry enhances energy sustainability growth in energy generation and leads to the adoption of modern financing options like green finance. Based on research findings, the paper explains multiple policy guidelines for policymakers in designing robust AI-supported energy strategies to enhance their long-term resilience with financial sustainability in China.</div></div>\",\"PeriodicalId\":11546,\"journal\":{\"name\":\"Energy Strategy Reviews\",\"volume\":\"59 \",\"pages\":\"Article 101696\"},\"PeriodicalIF\":7.9000,\"publicationDate\":\"2025-04-05\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Energy Strategy Reviews\",\"FirstCategoryId\":\"5\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S2211467X25000598\",\"RegionNum\":2,\"RegionCategory\":\"工程技术\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"ENERGY & FUELS\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Energy Strategy Reviews","FirstCategoryId":"5","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S2211467X25000598","RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ENERGY & FUELS","Score":null,"Total":0}
Inclusive green finance approach to assess energy resilience: Integrating artificial intelligence (AI) utilization in energy strategy perspective
The paper investigates the use of Artificial Intelligence (AI) in the energy strategy perspective of energy resilience with the inclusive role of green finance in China. The data from 2012 to 2022 is assessed using split analysis, regression analysis, heterogeneity analysis, Bayesian underlying process, and robustness analysis technique. The results revealed that AI utilization has the potential to generate a shift in the perspective of energy strategy and might lead China to the following heights. The study findings confirmed that AI utilization enhances energy resilience in energy systems. Furthermore, AI technology also has a significant role in retaining the inclusiveness of green finance from an energy industrial perspective. However, our findings confirmed that artificial intelligence in the energy industry enhances energy sustainability growth in energy generation and leads to the adoption of modern financing options like green finance. Based on research findings, the paper explains multiple policy guidelines for policymakers in designing robust AI-supported energy strategies to enhance their long-term resilience with financial sustainability in China.
期刊介绍:
Energy Strategy Reviews is a gold open access journal that provides authoritative content on strategic decision-making and vision-sharing related to society''s energy needs.
Energy Strategy Reviews publishes:
• Analyses
• Methodologies
• Case Studies
• Reviews
And by invitation:
• Report Reviews
• Viewpoints