Author(s)

Junliang Zheng ¹, Jing Chu ²

Affiliation(s)

¹ Science and Technology Department, Shunde Polytechnic, Foshan, China
² School of Hospitality and Tourism Management, Shunde Polytechnic, Foshan, China

Corresponding Author

Junliang Zheng

ABSTRACT

In this paper, a semi-supervised quadratic support vector model is used to classify the level of high-quality economic development of 296 cities in China. Then, the amount of resource allocation required for cities to achieve high-quality economic development under resource constraints is calculated based on the classification hyperplane determined by the model. The article proposes development suggestions for resource allocation in terms of labour, land, fixed assets, energy, finance, healthcare, transportation, education, social security, environment and openness.

KEYWORDS

High quality development, support vector machine, optimal allocation of resources

CITE THIS PAPER

Junliang Zheng, Jing Chu, Research on Urban Resource Allocation Based on Support Vector Machines. Information Systems and Economics (2024) Vol. 5: 74-83. DOI: http://dx.doi.org/10.23977/infse.2024.050311.

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