Proceedings of the 4th Management Science Informatization and Economic Innovation Development Conference, MSIEID 2022, December 9-11, 2022, Chongqing, China

Research Article

The Educational level of the Population, Economic Development, and Urbanization: Based on Experimental and Mathematical Statistics Analysis

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  • @INPROCEEDINGS{10.4108/eai.9-12-2022.2327693,
        author={Fengyu  Lyu},
        title={The Educational level of the Population, Economic Development, and Urbanization: Based on Experimental and Mathematical Statistics Analysis},
        proceedings={Proceedings of the 4th Management Science Informatization and Economic Innovation Development Conference, MSIEID 2022, December 9-11, 2022, Chongqing, China},
        publisher={EAI},
        proceedings_a={MSIEID},
        year={2023},
        month={3},
        keywords={urbanization; the educational level of the population; economic development; mediating effect model; heterogeneity analysis},
        doi={10.4108/eai.9-12-2022.2327693}
    }
    
  • Fengyu Lyu
    Year: 2023
    The Educational level of the Population, Economic Development, and Urbanization: Based on Experimental and Mathematical Statistics Analysis
    MSIEID
    EAI
    DOI: 10.4108/eai.9-12-2022.2327693
Fengyu Lyu1,*
  • 1: College of Science, Donghua University
*Contact email: 18918687821@sina.cn

Abstract

The educational level of the population has a significant influence on urbanization and economic development. This article uses China’s inter-provincial panel data from 2005 to 2019 and analyzes the positive effect of population education on the urbanization rate based on linear regression. Through the intermediary effect model, it is found that economic development is the mechanism of this positive driving effect. This paper also manually collates and calculates the data of annual per capita education years in cities, towns, and townships. Based on the heterogeneity analysis of city, town, and township types, it is found that education level in townships has the strongest driving effect on urbanization compared with cities and towns. At the same time, in terms of different regions, the central region has the greatest promotion effect, followed by the northeast and western regions, and the eastern region has the least promotion effect.