Research Article
Research on Correlation Analysis Modeling between Economic Growth and Region Information-oriented
@INPROCEEDINGS{10.4108/eai.7-7-2023.2338031, author={Yundong Bu and Shengming Tu and Huiling Chen}, title={Research on Correlation Analysis Modeling between Economic Growth and Region Information-oriented}, proceedings={Proceedings of the 2nd International Conference on Financial Innovation, FinTech and Information Technology, FFIT 2023, July 7--9, 2023, Chongqing, China}, publisher={EAI}, proceedings_a={FFIT}, year={2023}, month={10}, keywords={economic growth region information-oriented moran i regression model}, doi={10.4108/eai.7-7-2023.2338031} }- Yundong Bu
Shengming Tu
Huiling Chen
Year: 2023
Research on Correlation Analysis Modeling between Economic Growth and Region Information-oriented
FFIT
EAI
DOI: 10.4108/eai.7-7-2023.2338031
Abstract
The continuous improvement of the region information-oriented process and the enormous enhancement of resources transactions has provided a novel motivations and power guarantee for regional economic development. However, existing economic growth investigation through correlation are primarily towards on concerning on the economic parameters including the growth ratio, population or others indicators and ignore the region information-oriented impacts, which is also an essential parameter to influence the economic growth. Therefore, we propose a novel correlation analysis regression model to investigate the relationships and quantify the specific parameters of correlation analysis. Specifically, we initially collect the information-oriented ratio and economic growth data-set to analyze the correlations and provide the analysis results. Subsequently, we simulate the correlation inspections and obtain the results of regression model analysis. From our extensive experimental results, we can significantly conclude that region information-oriented has impacts on economic growth and evaluate the Moran l index affections on the established regression model.