{"title":"从字节到可持续性:先进工业人工智能国家的工业人工智能与绿色金融之间的不对称关系","authors":"","doi":"10.1016/j.bir.2024.03.010","DOIUrl":null,"url":null,"abstract":"<div><p>The integration of artificial intelligence in industry and the adoption of green finance emphasizing environmental sustainability through technology has become increasingly prominent. This article scrutinizes the asymmetric nexus between industrial artificial intelligence and green finance in the top ten countries leading in industrial artificial intelligence (China, USA, South Korea, Germany, Japan, Canada, UK, Australia, France, and Italy). Preceding studies applied panel data approaches to examine the industrial artificial intelligence-green finance nexus without considering that not all countries had established such a connection autonomously. Conversely, this paper implements a distinctive approach, ‘Quantile-on-Quantile’, which offers both worldwide and nation-specific foresight into the correlation of the variables. The results demonstrate that industrial artificial intelligence increases green finance at specific segments of the data distribution across diverse economies. These outcomes underscore policymakers’ need to approach the development and enactment of policies regarding industrial artificial intelligence and green finance with careful attention and thoughtful deliberation.</p></div>","PeriodicalId":46690,"journal":{"name":"Borsa Istanbul Review","volume":null,"pages":null},"PeriodicalIF":6.3000,"publicationDate":"2024-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2214845024000516/pdfft?md5=048b2b7bc04a0f6d418cad2b374d1565&pid=1-s2.0-S2214845024000516-main.pdf","citationCount":"0","resultStr":"{\"title\":\"From bytes to sustainability: Asymmetric nexus between industrial artificial intelligence and green finance in advanced industrial AI nations\",\"authors\":\"\",\"doi\":\"10.1016/j.bir.2024.03.010\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><p>The integration of artificial intelligence in industry and the adoption of green finance emphasizing environmental sustainability through technology has become increasingly prominent. This article scrutinizes the asymmetric nexus between industrial artificial intelligence and green finance in the top ten countries leading in industrial artificial intelligence (China, USA, South Korea, Germany, Japan, Canada, UK, Australia, France, and Italy). Preceding studies applied panel data approaches to examine the industrial artificial intelligence-green finance nexus without considering that not all countries had established such a connection autonomously. Conversely, this paper implements a distinctive approach, ‘Quantile-on-Quantile’, which offers both worldwide and nation-specific foresight into the correlation of the variables. The results demonstrate that industrial artificial intelligence increases green finance at specific segments of the data distribution across diverse economies. These outcomes underscore policymakers’ need to approach the development and enactment of policies regarding industrial artificial intelligence and green finance with careful attention and thoughtful deliberation.</p></div>\",\"PeriodicalId\":46690,\"journal\":{\"name\":\"Borsa Istanbul Review\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":6.3000,\"publicationDate\":\"2024-09-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://www.sciencedirect.com/science/article/pii/S2214845024000516/pdfft?md5=048b2b7bc04a0f6d418cad2b374d1565&pid=1-s2.0-S2214845024000516-main.pdf\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Borsa Istanbul Review\",\"FirstCategoryId\":\"96\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S2214845024000516\",\"RegionNum\":2,\"RegionCategory\":\"经济学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"BUSINESS, FINANCE\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Borsa Istanbul Review","FirstCategoryId":"96","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S2214845024000516","RegionNum":2,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"BUSINESS, FINANCE","Score":null,"Total":0}
From bytes to sustainability: Asymmetric nexus between industrial artificial intelligence and green finance in advanced industrial AI nations
The integration of artificial intelligence in industry and the adoption of green finance emphasizing environmental sustainability through technology has become increasingly prominent. This article scrutinizes the asymmetric nexus between industrial artificial intelligence and green finance in the top ten countries leading in industrial artificial intelligence (China, USA, South Korea, Germany, Japan, Canada, UK, Australia, France, and Italy). Preceding studies applied panel data approaches to examine the industrial artificial intelligence-green finance nexus without considering that not all countries had established such a connection autonomously. Conversely, this paper implements a distinctive approach, ‘Quantile-on-Quantile’, which offers both worldwide and nation-specific foresight into the correlation of the variables. The results demonstrate that industrial artificial intelligence increases green finance at specific segments of the data distribution across diverse economies. These outcomes underscore policymakers’ need to approach the development and enactment of policies regarding industrial artificial intelligence and green finance with careful attention and thoughtful deliberation.
期刊介绍:
Peer Review under the responsibility of Borsa İstanbul Anonim Sirketi. Borsa İstanbul Review provides a scholarly platform for empirical financial studies including but not limited to financial markets and institutions, financial economics, investor behavior, financial centers and market structures, corporate finance, recent economic and financial trends. Micro and macro data applications and comparative studies are welcome. Country coverage includes advanced, emerging and developing economies. In particular, we would like to publish empirical papers with significant policy implications and encourage submissions in the following areas: Research Topics: • Investments and Portfolio Management • Behavioral Finance • Financial Markets and Institutions • Market Microstructure • Islamic Finance • Financial Risk Management • Valuation • Capital Markets Governance • Financial Regulations