Modern Social Science Research

Objective With the advent of the intelligent era, the level of Chinas economic development is influenced by the digital economy. In the new development paradigm, the digital economy occupies a dominant position. It not only symbolizes the speed of our countrys economic development but also represents the concrete embodiment of our comprehensive strength. Therefore, studying the level of digital economy development is of profound significance for making important decisions, adjusting overall layout in a timely manner, and reasonably evaluating various relevant indicators in China. Method Firstly, the weights of various indicators are determined based on the entropy weight TOPSIS method, and the comprehensive scores of each province (excluding Tibet, Hong Kong, Macau, and Taiwan) are obtained. Based on the results obtained above, the AGNES clustering algorithm is used to classify the digital economy development levels of the 30 provinces in China. Then, the XGBoost algorithm is employed to analyze the feature importance. Lastly, the LSTM model is utilized to predict the regional gross domestic product (GDP) of each province for the year 2021. Conclusion In the development of Chinas digital economy, technological innovation plays a significant role and occupies a large proportion. Comparing the kernel density estimation maps of the national, eastern, central, and western regions, the digital economy development level of the western region has been improving year by year. Through the prediction of regional gross domestic product (GDP), it can be seen that Chinas digital economy development level is steadily increasing.

Entropy TOPSIS; Digital Economy; AGNES; LSTM