| Title |
Analysis of the Impact of the Digital Economy on the Green Transformation of the Economic Belt by Integrating the Distance Method of Advantages and Disadvantages with Neural Networks |
| Authors |
(Xiang Zou) ; (Yongfei Jia) |
| DOI |
https://doi.org/10.5573/IEIESPC.2025.14.4.545 |
| Keywords |
Pareto dominance distance method; Neural networks; Digital economy; Economic green transformation; Sustainable development |
| Abstract |
The digital economy, as one of the primary driving powers for contemporary economy, has had many negative impacts on the environment due to its vigorous development. The study aims to explore the key role and internal mechanism of digital economy development in promoting sustainable and harmonious development of China’s economy and natural environment. This study analyzes the impact of green transformation in the economic belt around the Yellow River using the distance method of superior and inferior solutions and neural networks.
The results indicated that there was a disparity in the development of the digital economy in the Yellow River Economic Belt. This belt was mainly composed of digital environment, infrastructure, industrialization, and industrial digitization, which accounted for 42.34%, 28.87%, 16.87%, and 11.92%, respectively. There were significant distinctions in the digital economy among various provinces, with the highest being 0.6818 and the lowest being 0.1425. The general tendency was on the rise, but there was a decline in 2018. During the research period, the digital economy as a whole shifted towards the southwest, showing a trend of expansion in the north-south and contraction in the east-west. The study combines the distance method of superior and inferior solutions with neural networks to complete a win-win results of economic prosperity and green environmental protection in promoting the digital economy. |