Research Article
Research on Digital Economy Development Based on Multiple Linear Regression and Random Forest Regression
@INPROCEEDINGS{10.4108/eai.28-10-2022.2328456, author={Rui Yang and Chenghui Wu and Xinkang Yang and Jing Liu and Junxian Wang and Mengjuan Xia and Ling Yuan}, title={Research on Digital Economy Development Based on Multiple Linear Regression and Random Forest Regression}, proceedings={Proceedings of the International Conference on Financial Innovation, FinTech and Information Technology, FFIT 2022, October 28-30, 2022, Shenzhen, China}, publisher={EAI}, proceedings_a={FFIT}, year={2023}, month={4}, keywords={digital economy; regression analysis; random forest}, doi={10.4108/eai.28-10-2022.2328456} }- Rui Yang
Chenghui Wu
Xinkang Yang
Jing Liu
Junxian Wang
Mengjuan Xia
Ling Yuan
Year: 2023
Research on Digital Economy Development Based on Multiple Linear Regression and Random Forest Regression
FFIT
EAI
DOI: 10.4108/eai.28-10-2022.2328456
Abstract
The digital economy is highly innovative, highly permeable, and widely covered. It is not only a new economic growth point, but also a fulcrum for transforming and upgrading traditional industries. The digital economy can effectively expand consumer demand, stimulate investment vitality, and provide new jobs. It is an indispensable part of the construction of a modern economic system. This research is based on the data related to the development of digital economy in Zhejiang Province, China from 2011 to 2020,and analyzes the research data through Rstudio to establish a multiple linear regression model and a random forest regression model. The study found that the development of the digital economy requires improving the quality of employment in the industry, deepening the level of industry development, and optimizing the development modelof the industry, rather than blindly expanding jobs. And put forward a plan to promote the development of the digital economy and solve the employment problem.