Applied Mathematics and Nonlinear Sciences
Journal license

Journal

Applied Mathematics and Nonlinear Sciences


Volume
& Issue

Volume 6, Issue 1


Published
on

December 15, 2021


Pages

513-522


DOI

Article

Analysis of the causes of the influence of the industrial economy on the social economy based on multiple linear regression equation

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Authors

Yuting Zhao Affiliation:
School of Economics and Management, Harbin University, Heilongjiang, Harbin, China
and Ali Altalbe Affiliation:
Department of Information Technology, Faculty of Computing and Information Technology, King Abdulaziz University, Jeddah, Saudi Arabia


Abstract

In industrial economy, the main factors influencing the urban construction and development of social economy is linked to the high-speed rail site accessibility, and this has its influence on the regional economy as a whole, and as an example, this can be explained through the study using a multiple linear regression equation model, built and compared before and after 2 years of data and information. Based on the weighted average travel time and economic potential, it is clear that the construction of urban expressway can help accelerate the aggregation and flow of production factors within the region, to guide the integrated development of local society and economy.


Keywords

multiple linear regression, industrial economy, social economy, The highway, 76U05


Citation

Zhao, Y. & Altalbe, A. (2021). Analysis of the causes of the influence of the industrial economy on the social economy based on multiple linear regression equation. Applied Mathematics and Nonlinear Sciences, 6(1), 513–522. https://doi.org/10.2478/amns.2021.1.00062

Published by: Engineering Journals

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