创新理论与方法研究
国内理论研究动态
国外理论研究动态
引导页 > 创新理论与方法研究 > 国外理论研究动态 > 正文
[基于“双碳”目标的创新发展研究]Green Financial Supervision Information System Based on Genetic Algorithm Optimization under Carbon Peaking and Carbon Neutrality Goals
发布日期:2023-12-06 20:12:18   来源:    字体:  

Green Financial Supervision Information System Based on Genetic Algorithm Optimization under Carbon Peaking and Carbon Neutrality Goals

发表日期:202311

作者:Wangfangyu Wan

单位:School of Mathematics, University of Edinburgh, Edinburgh EH9 3FD, Scotland, UK

期刊:Sustainability. Volume 15 , Issue 22 . 2023

摘要:Under the guidance of carbon peaking and carbon neutrality, ecological priority and green development have become the popular consensus, and the financial regulatory level continuously guides financial institutions to increase investment in green and low carbon projects. In the field of green financial supervision in China, due to imperfect systems and poor adaptability, financial risks are often difficult to control within a reasonable range, which has had a significant impact on financial supervision and management. This article aimed to optimize the green financial regulatory information system under the carbon peaking and carbon neutrality goals. Firstly, this article analyzed the concept and background of green finance regulation; then, an investigation was conducted on the construction of the green finance service information system, and a green finance information system supervision plan was established. Finally, data collection and analysis were conducted, and the supervision of the green finance information system was carried out using a standard genetic algorithm based on a fuzzy evaluation matrix. This article used a genetic algorithm to optimize the green financial regulatory information system, and selected 500 people to evaluate the use of the system before and after the optimization. The proportion of very satisfied people increased from 11.2% to 19.2%; the proportion of satisfied people increased from 17.2% to 37.6%; the proportion of people who were very dissatisfied decreased from 14.4% to 3.6%. The experiment in this article showed that the optimized system could operate more stably, and the process was more reasonable. The statistical analysis ability was significantly enhanced, and the functions were more comprehensive. This suggests that the system could better regulate the development of green finance.  

关键词:carbon peaking;carbon neutrality;green finance;regulatory information system;genetic algorithm

DOI10.3390/SU152215866

链接:Green Financial Supervision Information System Based on Genetic Algorithm Optimization under Carbon Peaking and Carbon Neutrality Goals - 中国知网 (cnki.net)


Copyright © 2012 All right reserved    鄂ICP备030193号    华中科技大学经济学院大楼
邮编: 430074    联系电话:027-87542253     电子信箱:hao_zhang@hust.edu.cn
华中科技大学张培刚发展研究院