Population distribution and influencing factors in Long Hai-Lan Xin Economic Zone: empirical analysis based on spatial statistical model

LiYun Su; Yu Wu; FengLan Li; Feng Xu

doi:10.1117/12.2648835

27 September 2022 Population distribution and influencing factors in Long Hai-Lan Xin Economic Zone: empirical analysis based on spatial statistical model

LiYun Su, Yu Wu, FengLan Li, Feng Xu

Author Affiliations +

Proceedings Volume 12345, International Conference on Applied Statistics, Computational Mathematics, and Software Engineering (ASCMSE 2022); 123450R (2022) https://doi.org/10.1117/12.2648835
Event: 2022 International Conference on Applied Statistics, Computational Mathematics, and Software Engineering (ASCMSE 2022), 2022, Qingdao, China

Abstract

Taking 22 cities in the Long Hai-Lan Xin Economic Zone as the research object, this paper makes a statistical analysis of the regional, temporal, and spatial characteristics of the population distribution in each urban area and reveals the spatial evolution law of the Long Hai-Lan Xin Economic Zone. The results show that: (1) The spatial distribution of population density presents the characteristics of "low in the west and high in the east", and there are large differences between urban areas; (2) The temporal distribution of population density has obvious differences, which show an upward trend year by year; (3) The spatial distribution of population There is agglomeration in the layout, and the population "highhigh type" and the population "low-low type" are concentrated. (4) In the regression analysis of the influencing factors of the Long Hai-Lan Xin Economic Zone, the SDM model with individual fixed effects is determined as the best model. It shows that the regional GDP, average wages of employees, employees in the tertiary industry, and fixed asset investment in the whole society positively impact population distribution. Therefore, promoting the rational distribution of the population in the Long Hai-Lan Xin Economic Zone, it can be accomplished by adjusting the industrial structure, promoting the integrated development of the economic belt, and increasing infrastructure construction.

Citation Download Citation

LiYun Su, Yu Wu, FengLan Li, and Feng Xu "Population distribution and influencing factors in Long Hai-Lan Xin Economic Zone: empirical analysis based on spatial statistical model", Proc. SPIE 12345, International Conference on Applied Statistics, Computational Mathematics, and Software Engineering (ASCMSE 2022), 123450R (27 September 2022); https://doi.org/10.1117/12.2648835

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Statistical analysis

Analytical research

Lithium

Scanning electron microscopy

Heart

Lawrencium

Local area networks

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