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Empowering Sustainable Finance: The Convergence of AI, Blockchain, and Big Data Analytics
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Abstract
This paper explores the transformative impact of artificial intelligence (AI), blockchain technology, and big data analytics on the sustainable finance sector. These technologies are driving significant advancements in decision-making, regulatory compliance, socially responsible investing (SRI), transparency, efficiency, risk management, financial inclusion, and the identification of sustainable growth opportunities. AI enhances predictive analysis and automates ESG compliance, fostering informed investment strategies and ensuring adherence to sustainability standards. Blockchain introduces unprecedented transparency and efficiency, particularly through smart contracts and decentralized finance (DeFi), facilitating direct funding of sustainable projects and transparent carbon credit trading. Big data analytics empower financial institutions with predictive risk management models and insights for enhancing financial inclusion and identifying sustainable investment opportunities. Through detailed examination, this study underscores how these technologies collectively support the alignment of financial investments with sustainability goals, contributing to the development of a sustainable global economy. This confluence not only streamlines operational processes and compliance but also opens new avenues for sustainable growth and investment, underpinning the financial sector's role in achieving a more sustainable and inclusive future.
Keywords
Sustainable Finance, Artificial Intelligence, Blockchain, Big Data Analytics, Environmental
[1]. Schütze, Franziska, and Jan Stede. "The EU sustainable finance taxonomy and its contribution to climate neutrality." Journal of Sustainable Finance & Investment 14.1 (2024): 128-160.
[2]. Setyowati, Abidah B. "Governing sustainable finance: insights from Indonesia." Climate Policy 23.1 (2023): 108-121.
[3]. Caplar R and Kulisic P 1973 Proc. Int. Conf. on Nuclear Physics (Munich) vol 1 (Amsterdam:North-Holland/American Elsevier) p 517
[4]. Starks, Laura T. "Presidential address: Sustainable finance and ESG issues—Value versus values." The Journal of Finance 78.4 (2023): 1837-1872.
[5]. Thompson, Simon. Green and sustainable finance: principles and practice in banking, investment and insurance. Vol. 7. Kogan Page Publishers, 2023.
[6]. Huynh-The, Thien, et al. "Blockchain for the metaverse: A Review." Future Generation Computer Systems 143 (2023): 401-419.
[7]. Han, Hongdan, et al. "Accounting and auditing with blockchain technology and artificial Intelligence: A literature review." International Journal of Accounting Information Systems 48 (2023): 100598.
[8]. Mourtzis, Dimitris, John Angelopoulos, and Nikos Panopoulos. "Blockchain integration in the era of industrial metaverse." Applied Sciences 13.3 (2023): 1353.
Cite this article
Zhao,Y. (2024). Empowering Sustainable Finance: The Convergence of AI, Blockchain, and Big Data Analytics. Advances in Economics, Management and Political Sciences,85,267-273.
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Volume title: Proceedings of the 2nd International Conference on Management Research and Economic Development
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