Artificial Intelligence in Sustainable Finance: Theoretical Insights, Trends, and Future Directions
Keywords:
Artificial Intelligence, Sustainable Finance, Green Finance, Blockchain, Climate changeAbstract
In recent years, there has been growing awareness among investors about the need to move beyond profit maximization and to consider environmental and social impacts. Artificial intelligence (AI) has emerged as a powerful tool for analyzing environmental, social, and governance (ESG) data streams, enabling more informed and sustainable investment decisions. This study investigates the role of AI in sustainable finance (SF) by addressing four key research questions related to publication trends, leading contributors, influential works, and dominant thematic clusters. The findings reveal evolving research patterns, highlight prominent authors and countries, and identify three important clusters that define current scholarly discourse. A dataset of 103 documents (2016-2024) was analyzed. This research also highlights the conceptual structure within the subject area by identifying and discussing three clusters: (1) Economic Development and Finance: Addressing Climate Change and Finance, (2) Integrating AI and Blockchain for Green Finance and Fintech Innovation, (3) Sustainable Decision-Making with Machine Learning Algorithms. The study provides a comprehensive overview of the scholarly landscape, addresses the current literature’s gaps in understanding AI’s opportunities and risks in sustainable finance, and offers recommendations for future research to support inclusive and responsible growth.
References
[1] Dwivedi, Y.K., and Y. Wang. 2022. “Guest Editorial: Artificial Intelligence for B2B Marketing: Challenges and Opportunities.” Industrial Marketing Management 105:109–13. https://doi.org/10.1016/j.indmarman.2022.06.001.
[2] Swilling, Mark, Josephine Musango, and Jeremy Wakeford. 2016. “Developmental States and Sustainability Transitions: Prospects of a Just Transition in South Africa.” Journal of Environmental Policy & Planning 18 (5): 650–72. https://doi.org/10.1080/1523908X.2015.1107716.
[3] Kar, Arpan Kumar, Shweta Kumari Choudhary, and Vinay Kumar Singh. 2022. “How Can Artificial Intelligence Impact Sustainability: A Systematic Literature Review.” Journal of Cleaner Production 376 (November):134120. https://doi.org/10.1016/j.jclepro.2022.134120.
[4] Nishant, Rohit, Mike Kennedy, and Jacqueline Corbett. 2020. “Artificial Intelligence for Sustainability: Challenges, Opportunities, and a Research Agenda.” International Journal of Information Management 53 (August):102104. https://doi.org/10.1016/j.ijinfomgt.2020.102104.
[5] Fu, Chengbo, Lei Lu, and Mansoor Pirabi. 2023. “Advancing Green Finance: A Review of Sustainable Development.” Digital Economy and Sustainable Development 1 (1): 20. https://doi.org/10.1007/s44265-023-00020-3.
[6] Quatrini, S. 2021. “Challenges and Opportunities to Scale up Sustainable Finance after the COVID-19 Crisis: Lessons and Promising Innovations from Science and Practice.” Ecosystem Services 48. https://doi.org/10.1016/j.ecoser.2020.101240.
[7] Baduge, Shanaka Kristombu, Sadeep Thilakarathna, Jude Shalitha Perera, Mehrdad Arashpour, Pejman Sharafi, Bertrand Teodosio, Ankit Shringi, and Priyan Mendis. 2022. “Artificial Intelligence and Smart Vision for Building and Construction 4.0: Machine and Deep Learning Methods and Applications.” Automation in Construction 141 (September):104440. https://doi.org/10.1016/j.autcon.2022.104440.
[8] Verma, Mudit. 2018. “Artificial Intelligence and Its Scope in Different Areas with Special Reference to the Field of Education.” International Journal of Advanced Educational Research 5 International Journal of Advanced Educational Research. Vol. 3. www.educationjournal.org.
[9] Ahuja, Abhimanyu S. 2019. “The Impact of Artificial Intelligence in Medicine on the Future Role of the Physician.” PeerJ 7 (October):e7702. https://doi.org/10.7717/peerj.7702.
[10] Vasiliu, Laurentiu Alexandru, Dumitru Roman, and Radu Prodan. 2023. “Extreme and Sustainable Graph Processing for Green Finance Investment and Trading.” In Companion of the 2023 ACM/SPEC International Conference on Performance Engineering, 249–50. New York, NY, USA: ACM. https://doi.org/10.1145/3578245.3585337.
[11] Torres de Oliveira, Rui, Morteza Ghobakhloo, and Sandra Figueira. 2023. "Industry 4.0 Towards Social and Environmental Sustainability in Multinationals: Enabling Circular Economy, Organizational Social Practices, and Corporate Purpose." Journal of Cleaner Production 430 (December):139712. https://doi.org/10.1016/j.jclepro.2023.139712.
[12] Mhlanga, D. 2022a. “Human-Centered Artificial Intelligence: The Superlative Approach to Achieve Sustainable Development Goals in the Fourth Industrial Revolution.” Sustainability (Switzerland) 14 (13). https://doi.org/10.3390/su14137804.
[13] Lyu, Penghui, Xiuli Liu, and Ting Yao. 2023. “A Bibliometric Analysis of Literature on Bibliometrics in Recent Half-Century.” Journal of Information Science, August. https://doi.org/10.1177/01655515231191233.
[14] Aria, Massimo, and Corrado Cuccurullo. 2017. “Bibliometrix : An R-Tool for Comprehensive Science Mapping Analysis.” Journal of Informetrics 11 (4): 959–75. https://doi.org/10.1016/j.joi.2017.08.007.
[15] Chambers, John M., and Trevor J. Hastie. 2017. Statistical Models in S. Edited by T.J. Hastie. Pacific Grove, CA: Wadsworth & Brooks/Cole Advanced Books & Software. https://doi.org/10.1201/9780203738535.
[16] Buchanan, Bonnie G. 2019. "Artificial Intelligence in Finance." In. The Alan Turing Institute.
[17] Bahoo, Salman, Marco Cucculelli, Xhoana Goga, and Jasmine Mondolo. 2024. “Artificial Intelligence in Finance: A Comprehensive Review through Bibliometric and Content Analysis.” SN Business & Economics 4 (2): 23. https://doi.org/10.1007/s43546-023-00618-x.
[18] Cucculelli, Marco, and Martino Recanatini. 2022. “Distributed Ledger Technology Systems in Securities Post-Trading Services. Evidence from European Global Systemic Banks.” The European Journal of Finance 28 (2): 195–218. https://doi.org/10.1080/1351847X.2021.1921002.
[19] Oliveira, Benilde, and Cristiana Cerqueira Leal. 2024. “Leading the Way toward a Sustainable Future: The Role of Sustainable Finance and Environmental, Social, and Governance Investing.” In Circular Economy and Manufacturing, 53–82. Elsevier. https://doi.org/10.1016/B978-0-443-14028-0.00010-4.
[20] Musleh Al-Sartawi, Abdalmuttaleb M. A., Khaled Hussainey, and Anjum Razzaque. 2022. “The Role of Artificial Intelligence in Sustainable Finance.” Journal of Sustainable Finance & Investment, April, 1–6. https://doi.org/10.1080/20430795.2022.2057405.
[21] Pashang, Sep, and Olaf Weber. 2023. "AI for Sustainable Finance: Governance Mechanisms for Institutional and Societal Approaches." In, 203–29. https://doi.org/10.1007/978-3-031-21147-8_12.
[22] Liengpunsakul, Subin. 2021. “Artificial Intelligence and Sustainable Development in China.” The Chinese Economy 54 (4): 235–48. https://doi.org/10.1080/10971475.2020.1857062.
[23] Ren, Yi-Shuai, Chao-Qun Ma, Xun-Qi Chen, Yu-Tian Lei, and Yi-Ran Wang. 2023. “Sustainable Finance and Blockchain: A Systematic Review and Research Agenda.” Research in International Business and Finance 64 (January):101871. https://doi.org/10.1016/j.ribaf.2022.101871.
[24] Trukhachev, Vladimir I., and Meri Dzhikiya. 2023. “Development of Environmental Economy and Management in the Age of AI Based on Green Finance.” Frontiers in Environmental Science 10 (January). https://doi.org/10.3389/fenvs.2022.1087034.
[25] Olan, Femi, Shaofeng Liu, Jana Suklan, Uchitha Jayawickrama, and Emmanuel Ogiemwonyi Arakpogun. 2022. “The Role of Artificial Intelligence Networks in Sustainable Supply Chain Finance for Food and Drink Industry.” International Journal of Production Research 60 (14): 4418–33. https://doi.org/10.1080/00207543.2021.1915510.
[26] Alaoui, Asma Aziz, and Hassan Azdimousa. 2024. "How Artificial Intelligence Combined with Blockchain Technology Could Accelerate Impact Investing." In, 419–26. https://doi.org/10.1007/978-3-031-54318-0_38.
[27] Adedoyin Tolulope Oyewole, Omotayo Bukola Adeoye, Wilhelmina Afua Addy, Chinwe Chinazo Okoye, Onyeka Chrisanctus Ofodile, and Chinonye Esther Ugochukwu. 2024. “Promoting Sustainability in Finance with AI: A Review of Current Practices and Future Potential.” World Journal of Advanced Research and Reviews 21 (3): 590–607. https://doi.org/10.30574/wjarr.2024.21.3.0691.
[28] Singh, Shalini, Shubhanker Yadav, Arti Singh, Y. Jaya Krishna, and Anjana Singh. 2024. "Harnessing Technology for a Sustainable Future in Finance: The Role of Artificial Intelligence in Promoting Environmental Responsibility." In, 367–78. https://doi.org/10.1007/978-3-031-63402-4_30.
[29] Tkachev, Vasily N., Elizaveta V. Kiseleva, and Olga V. Fedyanina. 2021. “Financial Sector Growth, Consolidation, and New Technologies Make It a Powerful Actor in Tackling Global Environmental Challenges.” In Industry 4.0, 375–88. Cham: Springer International Publishing. https://doi.org/10.1007/978-3-030-75405-1_33.
[30] DiMaggio, Paul J., and Walter W. Powell. 1983. "The Iron Cage Revisited: Institutional Isomorphism and Collective Rationality in Organisational Fields." American Sociological Review 48 (2): 147. https://doi.org/10.2307/2095101.
[31] Bag, Surajit, Gautam Srivastava, Shivam Gupta, Justin Z. Zhang, and Sachin Kamble. 2023. “Climate Change Adaptation Capability, Business-to-Business Marketing Capability and Firm Performance: Integrating Institutional Theory and Dynamic Capability View.” Industrial Marketing Management 115 (November):470–83. https://doi.org/10.1016/j.indmarman.2023.11.003
[32] Magnano, Diana Giovanni, Siv Marina Flø Grimstad, Richard Glavee-Geo, and Fahim Anwar. 2024. “Disentangling Circular Economy Practices and Firm’s Sustainability Performance: A Systematic Literature Review of Past Achievements and Future Promises.” Journal of Environmental Management 353 (February):120138. https://doi.org/10.1016/j.jenvman.2024.120138.
[33] Martinez-Meyers, Susana, Idoya Ferrero-Ferrero, and María Jesús Muñoz-Torres. 2024. “The European Sustainable Finance Disclosure Regulation (SFDR) and Its Influence on ESG Performance and Risk in the Fund Industry from a Multi-Regional Perspective.” Journal of Financial Reporting and Accounting, November. https://doi.org/10.1108/JFRA-03-2024-0150.
[34] Scott, William Richard. 2001. Institutions and Organisations. 2nd ed. SAGE.
[35] Rana, Nripendra P., Rajasshrie Pillai, Brijesh Sivathanu, and Nishtha Malik. 2024. "Assessing the Nexus of Generative AI Adoption, Ethical Considerations and Organisational Performance." Technovation 135 (July):103064. https://doi.org/10.1016/j.technovation.2024.103064.
[36] Omotayo Bukola Adeoye, Chinwe Chinazo Okoye, Onyeka Chrisanctus Ofodile, Olubusola Odeyemi, Wilhelmina Afua Addy, and Adeola Olusola Ajayi-Nifise. 2024. “Artificial Intelligence in ESG Investing: Enhancing Portfolio Management and Performance.” International Journal of Science and Research Archive 11 (1): 2194–2205. https://doi.org/10.30574/ijsra.2024.11.1.0305.
[37] Tina Dacin, M., Jerry Goodstein, and W. Richard Scott. 2002. “Institutional Theory and Institutional Change: Introduction to the Special Research Forum.” Academy of Management Journal 45 (1): 45–56. https://doi.org/10.5465/amj.2002.6283388.
[38] Zheng, Daqing, Jin Chen, Lihua Huang, and Cheng Zhang. 2013. “E-Government Adoption in Public Administration Organizations: Integrating Institutional Theory Perspective and Resource-Based View.” European Journal of Information Systems 22 (2): 221–34. https://doi.org/10.1057/ejis.2012.28.
[39] Dubey, Rameshwar, Angappa Gunasekaran, Stephen J. Childe, Constantin Blome, and Thanos Papadopoulos. 2019. “Big Data and Predictive Analytics and Manufacturing Performance: Integrating Institutional Theory, Resource‐Based View and Big Data Culture.” British Journal of Management 30 (2): 341–61. https://doi.org/10.1111/1467-8551.12355.
[40] Gupta, Shivam, Sachin Modgil, Angappa Gunasekaran, and Surajit Bag. 2020. “Dynamic Capabilities and Institutional Theories for Industry 4.0 and Digital Supply Chain.” Supply Chain Forum: An International Journal 21 (3): 139–57. https://doi.org/10.1080/16258312.2020.1757369.
[41] Tsai, Ming-Chih, Kee-Hung Lai, and Wei-Che Hsu. 2013. “A Study of the Institutional Forces Influencing the Adoption Intention of RFID by Suppliers.” Information & Management 50 (1): 59–65. https://doi.org/10.1016/j.im.2012.05.006.
[42] Hartley, Janet L., William Sawaya, and David Dobrzykowski. 2022. “Exploring Blockchain Adoption Intentions in the Supply Chain: Perspectives from Innovation Diffusion and Institutional Theory.” International Journal of Physical Distribution & Logistics Management 52 (2): 190–211. https://doi.org/10.1108/IJPDLM-05-2020-0163.
[43] Steffen, Bjarne, and Tobias S. Schmidt. 2021. “Strengthen Finance in Sustainability Transitions Research.” Environmental Innovation and Societal Transitions 41 (December):77–80. https://doi.org/10.1016/j.eist.2021.10.018.
[44] Rip, Arie, and René Kemp. 1998. “Technological Change.” In Human Choice and Climate Change, edited by Steve Rayner and Elizabeth L. Malone, Vol. II:327–99. Columbus, Ohio: Battelle Press.
[45] Geels, Frank W. 2002. “Technological Transitions as Evolutionary Reconfiguration Processes: A Multi-Level Perspective and a Case-Study.” Research Policy 31 (8–9): 1257–74. https://doi.org/10.1016/S0048-7333(02)00062-8.
[46] Grin, John, Jan Rotmans, and Johan Schot. 2010. Transitions to Sustainable Development. Routledge. https://doi.org/10.4324/9780203856598.
[47] Geels, Frank W., and Johan Schot. 2007. "Typology of Socio-technical Transition Pathways." Research Policy 36 (3): 399–417. https://doi.org/10.1016/j.respol.2007.01.003.
[48] Ahmadov, Tarlan, Susanne Durst, Wolfgang Gerstlberger, and Elisabeth Kraut. 2025. “SMEs on the Way to a Circular Economy: Insights from a Multi-Perspective Review.” Management Review Quarterly 75 (1): 289–322. https://doi.org/10.1007/s11301-023-00380-2.
[49] Sharma, Shubham. 2024. “Role of Street-Level Policy Entrepreneurs in Sustainability Transition: Evidence from India’s Transition to LED Lighting.” Energy Research & Social Science 118 (December):103745. https://doi.org/10.1016/j.erss.2024.103745.
[50] Lim, Tristan. 2024. “Environmental, Social, and Governance (ESG) and Artificial Intelligence in Finance: State-of-the-Art and Research Takeaways.” Artificial Intelligence Review 57 (4): 76. https://doi.org/10.1007/s10462-024-10708-3.
[51] Uddin, Muhammed Sameer, Omaima Eltahir Babikir Mohamed, and John Ebert. 2024. “Artificial Intelligence-Powered Carbon Emissions Forecasting: Implications for Sustainable Supply Chains and Green Finance.” Energy, Environment, and Economy 2 (1): 1–13. https://doi.org/10.25163/energy.2110154.
[52] Alotaibi, Eid M, Ashraf Khallaf, Abed Al-Nasser Abdallah, Taisier Zoubi, and Awwad Alnesafi. 2024. “Blockchain-Driven Carbon Accountability in Supply Chains.” Sustainability 16 (24): 10872. https://doi.org/10.3390/su162410872.
[53] Steuer, Sebastian, and Tobias H Tröger. 2022. “The Role of Disclosure in Green Finance.” Journal of Financial Regulation 8 (1): 1–50. https://doi.org/10.1093/jfr/fjac001.
[54] Donthu, Naveen, Satish Kumar, Debmalya Mukherjee, Nitesh Pandey, and Weng Marc Lim. 2021. “How to Conduct a Bibliometric Analysis: An Overview and Guidelines.” Journal of Business Research 133 (September):285–96. https://doi.org/10.1016/j.jbusres.2021.04.070.
[55] Fadhel, Mohammed A., Ali M. Duhaim, A. S. Albahri, Z. T. Al-Qaysi, M. A. Aktham, M. A. Chyad, Wael Abd-Alaziz, et al. 2024. “Navigating the Metaverse: Unraveling the Impact of Artificial Intelligence—a Comprehensive Review and Gap Analysis.” Artificial Intelligence Review 57 (10). https://doi.org/10.1007/s10462-024-10881-5
[56] Eck, Nees Jan van, and Ludo Waltman. 2014. "Visualising Bibliometric Networks." In Measuring Scholarly Impact, 285–320. Cham: Springer International Publishing. https://doi.org/10.1007/978-3-319-10377-8_13.
[57] Medias, Fahmi, Reni Rosari, Akhmad Akbar Susamto, and Asmak Binti Ab Rahman. 2024. “A Bibliometric Analysis on Innovation in Philanthropy Research: A Study Based on Scopus Database.” International Journal of Innovation Science 16 (4): 748–71. https://doi.org/10.1108/IJIS-08-2022-0139.
[58] AlRyalat, Saif Aldeen S., Lna W. Malkawi, and Shaher M. Momani. 2019. “Comparing Bibliometric Analysis Using PubMed, Scopus, and Web of Science Databases.” Journal of Visualized Experiments, no. 152 (October). https://doi.org/10.3791/58494.
[59] Smith, Hein Hendrik, Oladayo Amed Idris, and Mark Steve Maboeta. "Global trends of green pesticide research from 1994 to 2019: a bibliometric analysis." Journal of toxicology 2021, no. 1 (2021): 6637516.
[60] Friedman, Alon. 2015. “The Power of Lotka’s Law Through the Eyes of R.” The Romanian Statistical Review 63:69–77.
[61] Truby, J. 2020. “Governing Artificial Intelligence to Benefit the UN Sustainable Development Goals.” Sustainable Development 28 (4): 946–59. https://doi.org/10.1002/sd.2048.
[62] Yigitcanlar, T., and F. Cugurullo. 2020. “The Sustainability of Artificial Intelligence: An Urbanistic Viewpoint from the Lens of Smart and Sustainable Cities.” Sustainability (Switzerland) 12 (20): 1–24. https://doi.org/10.3390/su12208548.
[63] Mhlanga, D. 2021. “Artificial Intelligence in the Industry 4.0, and Its Impact on Poverty, Innovation, Infrastructure Development, and the Sustainable Development Goals: Lessons from Emerging Economies?” Sustainability (Switzerland) 13 (11). https://doi.org/10.3390/su13115788.
[64] Khan, N., R.L. Ray, H.S. Kassem, S. Hussain, S. Zhang, M. Khayyam, M. Ihtisham, and S.A. Asongu. 2021. “Potential Role of Technology Innovation in Transformation of Sustainable Food Systems: A Review.” Agriculture (Switzerland) 11 (10). https://doi.org/10.3390/agriculture11100984.
[65] Munkhdalai, L., T. Munkhdalai, O.-E. Namsrai, J.Y. Lee, and K.H. Ryu. 2019. “An Empirical Comparison of Machine-Learning Methods on Bank Client Credit Assessments.” Sustainability (Switzerland) 11 (3). https://doi.org/10.3390/su11030699.
[66] Milana, C., and A. Ashta. 2021. “Artificial Intelligence Techniques in Finance and Financial Markets: A Survey of the Literature.” Strategic Change 30 (3): 189–209. https://doi.org/10.1002/jsc.2403.
[67] Hughes, A., Urban, M. A., & Wójcik, D. (2021). Alternative ESG Ratings: How Technological Innovation Is Reshaping Sustainable Investment. Sustainability, 13(6), 3551. https://doi.org/10.3390/su13063551
[68] Lomakin, Nikolay, Anna Shokhnekh, Sergey Sazonov, Maxim Maramygin, Denis Tkachenko, and Olga Angel. 2019. "Digital AI 'Decision Tree' for Predicting Russian GDP Value Based on Big Data Mining to Ensure Balanced and Sustainable Economic Growth." In Proceedings of the 2019 International SPBPU Scientific Conference on Innovations in Digital Economy, 1–6. New York, NY, USA: ACM. https://doi.org/10.1145/3372177.3373351.
[69] Li, Nannan, Zhenjing Gu, Gadah Albasher, Nouf Alsultan, and Ambreen Fatemah. 2023. “Nexus of Financial Management, Blockchain, and Natural Resources: Comparing the Impact on Environmental Sustainability and Resource Productivity.” Resources Policy 83 (June):103730. https://doi.org/10.1016/j.resourpol.2023.103730.
[70] Amel-Zadeh, Amir, Mike Chen, George Mussalli, and Michael Weinberg. 2021. “NLP for SDGs: Measuring Corporate Alignment with the Sustainable Development Goals.” SSRN Electronic Journal. https://doi.org/10.2139/ssrn.3874442.
[71] Raman, Natraj, Grace Bang, and Armineh Nourbakhsh. 2020. “Mapping ESG Trends by Distant Supervision of Neural Language Models.” Machine Learning and Knowledge Extraction 2 (4): 453–68. https://doi.org/10.3390/make2040025.
[72] Goloshchapova, Irina, Ser-Huang Poon, Matthew Pritchard, and Phil Reed. 2019. “Corporate Social Responsibility Reports: Topic Analysis and Big Data Approach.” The European Journal of Finance 25 (17): 1637–54. https://doi.org/10.1080/1351847X.2019.1572637.
[73] Clarkson, Peter M., Jordan Ponn, Gordon D. Richardson, Frank Rudzicz, Albert Tsang, and Jingjing Wang. 2020. “A Textual Analysis of US Corporate Social Responsibility Reports.” Abacus 56 (1): 3–34. https://doi.org/10.1111/abac.12182.
[74] Bouyé, Eric, and Diane Menville. 2020. “The Convergence of Sovereign ESG Ratings.” SSRN Electronic Journal. https://doi.org/10.2139/ssrn.3568547.
[75] Briere, Marie, and Stefano Ramelli. 2021. “Green Sentiment, Stock Returns, and Corporate Behavior.” SSRN Electronic Journal. https://doi.org/10.2139/ssrn.3850923.
[76] Chang, Yi Ling, and Yuan-Yuan Lee. 2019. “Applied Machine Learning: A Creation of Sustainable Development Progress Index Based on Circular Economy.” In 2019 International Conference on Computational Science and Computational Intelligence (CSCI), 1263–68. IEEE. https://doi.org/1[77] Tigges, Maximilian, Sönke Mestwerdt, Sebastian Tschirner, and René Mauer. 2024. “Who Gets the Money? A Qualitative Analysis of Fintech Lending and Credit Scoring through the Adoption of AI and Alternative Data.” Technological Forecasting and Social Change 205 (August):123491. https://doi.org/10.1016/j.techfore.2024.123491.
[78] Kautish, Sandeep, and Guneet Kaur, eds. 2022. AI-Enabled Agile Internet of Things for Sustainable FinTech Ecosystems. IGI Global. https://doi.org/10.4018/978-1-6684-4176-3.
[79] Laskar, Sandipan. 2022. "An Integrated Management of Change Program (MOC) for Oil and Gas Industry through Blockchain Technology and Smart Contracts." On Day 1 Mon, October 31, 2022. SPE. https://doi.org/10.2118/210790-MS.
[80] Trotta, Annarita, Francesco Rania, and Eugenia Strano. 2024. “Exploring the Linkages between FinTech and ESG: A Bibliometric Perspective.” Research in International Business and Finance 69 (April):102200. https://doi.org/10.1016/j.ribaf.2023.102200.
[81] Macchiavello, Eugenia, and Michele Siri. 2022. “Sustainable Finance and Fintech: Can Technology Contribute to Achieving Environmental Goals? A Preliminary Assessment of ‘Green Fintech’ and ‘Sustainable Digital Finance.’” European Company and Financial Law Review 19 (1): 128–74. https://doi.org/10.1515/ecfr-2022-0005.
[82] Shahzad, Umer, Mahdi Ghaemi Asl, and Marco Tedeschi. 2023. “Is There Any Market State-Dependent Contribution from Blockchain-Enabled Solutions to ESG Investments? Evidence from Conventional and Islamic ESG Stocks.” International Review of Economics & Finance 86 (July):139–54. https://doi.org/10.1016/j.iref.2023.03.001.
[83] Liu, Xinlai, Yu Yang, Yishuo Jiang, Yelin Fu, Ray Y. Zhong, Ming Li, and George Q. Huang. 2023. “Data-Driven ESG Assessment for Blockchain Services: A Comparative Study in Textiles and Apparel Industry.” Resources, Conservation and Recycling 190 (March):106837. https://doi.org/10.1016/j.resconrec.2022.106837.
[84] Paulauskaite-Taraseviciene, Agne, Ingrida Lagzdinyte-Budnike, Lina Gaiziuniene, Vilma Sukacke, and Laura Daniuseviciute-Brazaite. 2022. “Assessing Education for Sustainable Development in Engineering Study Programs: A Case of AI Ecosystem Creation.” Sustainability 14 (3): 1702. https://doi.org/10.3390/su14031702.
[85] Misra, Neeti, Sumeet Gupta, and T Joji Rao. 2024. “Fintech’s Role in Green Finance: Procuring Funds for Sustainable Energy.” International Research Journal of Multidisciplinary Scope 05 (02): 290–312. https://doi.org/10.47857/irjms.2024.v05i02.0455.
[86] Kumar, Nagendra, Dheeraj Kumar, Apurba Layek, and Sunil Yadav. 2022. “Renewable Energy and Sustainable Development.” In Artificial Intelligence for Renewable Energy Systems, 305–28. Elsevier. https://doi.org/10.1016/B978-0-323-90396-7.00011-0.
[87] Chen, Jin, Wenfei Meng, Yali Chen, and Wei Zhou. 2024. “To Be an Eco- and Tech-Friendly Society: Impact Research of Green Finance on AI Innovation.” Journal of Cleaner Production 466 (August):142900. https://doi.org/10.1016/j.jclepro.2024.142900.
[88] Marín-Rodríguez, Nini Johana, Juan David González-Ruiz, and Sergio Botero Botero. 2022. “Dynamic Co-Movements among Oil Prices and Financial Assets: A Scientometric Analysis.” Sustainability 14 (19): 12796. https://doi.org/10.3390/su141912796.
[89] Al-Baity, Heyam H. 2023. “The Artificial Intelligence Revolution in Digital Finance in Saudi Arabia: A Comprehensive Review and Proposed Framework.” Sustainability 15 (18): 13725. https://doi.org/10.3390/su151813725.
[90] Hamdouni, Amina. "The role of artificial intelligence in enhancing ESG outcomes: Insights from Saudi Arabia." Journal of Risk and Financial Management 18, no. 10 (2025): 572.
0.1109/CSCI49370.2019.00237.
