Study on Influencing Factors of Regional Economy Based on Multilevel Model

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Mengjin Yu 1 Huiyun Bai 1,*

1. School of Mathematics and Information Science, Henan Polytechnic University, Jiaozuo, 454000, China

* Corresponding author.


Received: 12 Jul. 2023 / Revised: 21 Aug. 2023 / Accepted: 15 Sep. 2023 / Published: 8 Dec. 2023

Index Terms

Correlation analysis, Economic development level, Linear regression, Random intercept-slope growth model, Random intercept model


Based on the relevant data of economic development of 31 provinces in China from 2016 to 2021, this paper selects the level of economic development as the response variable. The explanatory variables are selected from the aspects of location, human capital, industrial structure, foreign trade, system, science and technology and employment level. Aiming at the data with hierarchical structure, a multilevel model is proposed for analysis. It is concluded that human capital, industrial structure, foreign trade and system have a significant impact on the level of economic development. The impact of technology and employment level on the level of economic development is not significant. At the same time, this paper also makes a comparative analysis of the linear regression model, random intercept model and random intercept-slope growth model, which shows the advantages of random intercept-slope growth model.

Cite This Paper

Mengjin Yu, Huiyun Bai, "Study on Influencing Factors of Regional Economy Based on Multilevel Model", International Journal of Mathematical Sciences and Computing(IJMSC), Vol.9, No.4, pp. 29-43, 2023. DOI:10.5815/ijmsc.2023.04.04


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