Analysis and Study on Spatial Matching between Governmental Affairs’ Service Resources and Population: Empirical Analysis Based on the Statistical Data of L City in Central China

Ya-Guang Guo, Jun Xu, Qian Yin and Yiwen Zhang

Mathematical Problems in Engineering, 2022, vol. 2022, 1-8

Abstract: Objective. To construct a coupling model between resources for governmental affairs services and population data and its evaluation system, this research investigates and surveys offline (site, hardware, and human resources) and online service resources of governmental affairs on the basis to the Seventh National Census. The study aims to provide countermeasures and suggestions to promote governmental affairs service resources for people in specific areas more effectively. Method. This study analyzes and examines spatial matching between governmental affairs’ service resources and the population by using principal component analysis. Using the coupling matching degree model for reference, this study constructs a matching model based on governmental affairs’ service resources and its evaluation system. Furthermore, the study analyzes and demonstrates the coupling matching degree between governmental affairs’ service resources and the population system. Conclusions. Over the past five years, the matching level between governmental affairs’ service resources and the population has been categorized as moderate coordinative matching on the whole. From the perspective of changing trends, which are affected by population fluctuations, the matching degree also fluctuates, thus indicating a close relationship. Therefore, some relevant governmental departments need to continue promoting the “One Net, One Access, One Time†reform further and encouraging the equal allocation of governmental affairs’ service resources.

Date: 2022
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Persistent link: https://EconPapers.repec.org/RePEc:hin:jnlmpe:4975208

DOI: 10.1155/2022/4975208

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