Author(s)

Guanghui He ¹

Affiliation(s)

¹ School of Architecture and Artistic Design, University of Science and Technology Liaoning, Anshan, 114051, China

Corresponding Author

Guanghui He

ABSTRACT

In the process of urbanization in China, the problem of urban contraction in Liaoning Province has become increasingly prominent. In this paper, through the preprocessing of the data of 30 cities in Liaoning Province from 2009 to 2020, an one-dimensional classification model is established by using population factors, and 23 shrinking cities are identified, accounting for 76.7%. Furthermore, considering the changes of total population and GDP, combined with comprehensive influencing factors, a multi-dimensional classification model is established, and 30 cities are divided into absolute growth type, population aggregation type, intelligent contraction type and absolute contraction type. The results show that the cities of Liaoning Province generally show a shrinking trend from 2009 to 2020, among which the population contraction trend of Lighthouse City and Linghai City is particularly obvious. In addition, the economic development of shrinking cities in Liaoning Province tends to slow down, or even decline. Combining the analysis results of the two identification methods, it is found that Anshan City, Donggang City, Fengcheng City, Dashiqiao City, Tiefa City and Kaiyuan City are six cities with a large degree of contraction.

KEYWORDS

Data preprocessing, urban contraction, population influencing factors, multi-dimensional classification model, economic development

CITE THIS PAPER

Guanghui He, Research on Urban Contraction of Liaoning Province Based on Population Influencing Factors. Population, Resources & Environmental Economics (2024) Vol. 5: 21-27. DOI: http://dx.doi.org/10.23977/pree.2024.050104.

REFERENCES

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[3] Yue-E L I, Shan L U.Study on the Influencing Factors of Subjective Well-being of Urban Elderly in Liaoning Province: Based on the Analysis of Structural Equation Model[J].Journal of Southwest Jiaotong University(Social Sciences), 2018. 
[4] Zhang Jianbo, Duan Lipeng, Shi Xiaonan, Ma Zuopeng, Li Chenggu. Differentiation, causes and countermeasures of urban growth and contraction in Jilin Province [J]. Areal Research and Development, 2022, 41(01): 53-59.
[5] Zhang Mingdou, Liu Yi, Qu Junxi. Research on classification, identification and high-quality development of shrinking cities [J]. Journal of Zhengzhou University (Philosophy and Social Sciences Edition), 2019, 52(05):47-51.

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