The Ethical Balance Reconstruction of Green Finance Empowered by Computer Technology
-
https://doi.org/10.14419/ca6cas51
Received date: August 31, 2025
Accepted date: October 9, 2025
Published date: October 15, 2025
-
Green finance; sustainable development; environmental ethics; social justice; intergenerational equity -
Abstract
As a bridge connecting economic activities and ecological protection, green finance is inherently not merely a tool for capital allocation but also embodies profound ethical values. From the perspectives of environmental ethics, social justice, and intergenerational equity, this paper analyzes the inherent ethical connections between green finance and sustainable development. Through a literature review, it sorts out the status of relevant research, identifies issues in current green finance practices, including the "expansion of instrumental rationality" and "ambiguity of ethical boundaries"—and proposes solutions by constructing a "Three-Dimensional Ethical Balance Model for Green Finance." It also offers suggestions for path optimization from three aspects: value reshaping, institutional design, and subject synergy, aiming to provide theoretical references for green finance to return to the essence of sustainable development.
-
References
- Sandberg, L., Jørgensen, U.: Ethics in green finance: A literature review. Business Ethics: A European Review 21(3), 223–238 (2012).
- Naess, A.: The shallow and the deep, long-range ecology movement: A summary. Inquiry 16(1-4), 95–100 (1973).
- UN Environment Programme: Green Finance for a Sustainable Recovery (2020).
- Gu, Y., Wang, X., Lukin, S.: Cost-Efficiency Trade-Offs in SMEs Digital Transformation: A Pathway Analysis. Journal of Economics and Sustain-able Development 16(4) (2025).
- Scholtens, B., van't Klooster, J.: The ethics of impact investing. Journal of Business Ethics 157(2), 309–324 (2019).
- Solow, R.M.: Intergenerational equity and exhaustible resources. The Review of Economic Studies 41(2), 29–45 (1974).
- Reuters: EU watchdog flags "greenwashing" risks in sustainable finance (2023).
- Global Witness: False Solutions: How Biomass Energy is Fueling Forest Destruction (2022).
- UN Environment Programme: Global Green Project Database 2023 (2023).
- World Bank: Global Financial Inclusion Database 2023 (2023).
- Bloomberg: Bloomberg Green Bond Database (2023).
- Wongmahesak, K., Wekke, I.S., Suanpang, P. (Eds.): Sustainable Development, Humanities, and Social Sciences for Society 5.0. IGI Global (2025).
- Zhang, Y., Liu, J., & Chen, W. (2023). Blockchain-Based Information Disclosure for Green Credit: Evidence from China. Journal of Cleaner Pro-duction 398, 136542. https://doi.org/10.1016/j.jclepro.2023.136542
- United Nations Environment Programme (UNEP). (2024). *Digital Tools for Green Finance Supervision: Global Status and Recommendations. Nairobi: UNEP Press.
- Li, M., Zhang, H., & Wang, Q. (2024). AI-Powered Carbon Footprint Calculation: Accuracy Analysis and Error Correction. Energy Policy 189, 121789. https://doi.org/10.1016/j.enpol.2024.121789
- Wang, H., Zhao, W., & Garcia, L. (2025). Federated Learning in Cross-Border Green Project Evaluation: Protecting Data Sovereignty While En-hancing Collaboration. Journal of Environmental Management 402, 114087. https://doi.org/10.1016/j.jenvman.2025.114087
- Jones, A., & Miller, S. (2024). Weak Sustainability Theory and Ecological Compensation: Lessons from Developing Country Green Infrastructure. Ecological Economics 218, 108245. https://doi.org/10.1016/j.ecolecon.2024.108245
- Brown, C., & Davis, K. (2023). The Cost of Ethical Compliance in Green Finance: Evidence from Global Banks. *Journal of Banking & Finance* 152, 106890. https://doi.org/10.1016/j.jbankfin.2023.106890
- Garcia, R., et al. (2025). Ethical Indicators and Green Bond Performance: A Global Study. *Journal of Corporate Finance* 92, 102567. https://doi.org/10.1016/j.jcorpfin.2025.102567 20. Pearce, D. W., Markandya, A., & Barbier, E. B. (1989). *Blueprint for a Green Economy*. Earthscan Publications.
- Qi, R. (2025). DecisionFlow for SMEs: A Lightweight Visual Framework for Multi-Task Joint Prediction and Anomaly Detection.
- Qi, R. (2025). Enterprise Financial Distress Prediction Based on Machine Learning and SHAP Interpretability Analysis.
-
Downloads
-
How to Cite
Gu , Y. ., Lin , H. ., Zhao, W. . ., Li, M. . ., & Wang, X. (2025). The Ethical Balance Reconstruction of Green Finance Empowered by Computer Technology. International Journal of Accounting and Economics Studies, 12(6), 580-586. https://doi.org/10.14419/ca6cas51
