Research Article
A Study on the Developmental Changes of Green Finance Based on the Context of Big Data
@INPROCEEDINGS{10.4108/eai.19-5-2023.2334325, author={Kai Ren}, title={A Study on the Developmental Changes of Green Finance Based on the Context of Big Data}, proceedings={Proceedings of the 2nd International Conference on Bigdata Blockchain and Economy Management, ICBBEM 2023, May 19--21, 2023, Hangzhou, China}, publisher={EAI}, proceedings_a={ICBBEM}, year={2023}, month={7}, keywords={big data; green finance; policy implementation; deep learning}, doi={10.4108/eai.19-5-2023.2334325} }
- Kai Ren
Year: 2023
A Study on the Developmental Changes of Green Finance Based on the Context of Big Data
ICBBEM
EAI
DOI: 10.4108/eai.19-5-2023.2334325
Abstract
Along with the technological advances and developments of our time, the personal hosts, high performance mainframes or other multi-virtual machine distributed business clusters that people use are developing at a high rate, with high levels of hardware and software capabilities creating huge opportunities for our work and life. But at the same time, the amount of information we are now generating with our resources is exploding, such as the daily forecast, the hourly or minute-by-minute weather conditions, and our spring train ticket bookings, to name but a few. The simplest and most straightforward way to allow for a large allocation of resources is to increase or increase the amount of resources, but it is associated with a huge cost. It becomes particularly important to adopt good resource strategies and algorithms. The promotion of green development has had an impact on the effectiveness of the implementation of green financial policies. Therefore, through the comprehensive application of relevant theories, the practical situation of the specific reasons for the analysis, to effectively improve the effectiveness of the policy implementation of targeted recommendations, has a certain practical reference significance.