Spatial Pattern, Classification, and Influencing Factors of High-Quality County Development in China
The county is the basic territory unit of the national governance system and sustainable development. This study aimed to assess and categorize the high-quality county development in China based on the nation’s imbalanced and inadequate development conditions. By constructing a comprehensive evaluation system for high-quality county development, employing spatial analysis and the natural breakpoint approach, the multiscale spatial pattern of high-quality county development was identified and classified. In addition, the grey relational analysis method was used to measure the influencing factors. According to the evaluation scores for the high-quality county development in this study, the counties could be classified into three categories: (1) rising developed counties; (2) steady developing counties; and (3) underdeveloped counties. Significant spatial differences and agglomeration characteristics exist in high-quality county development in China. Social livelihood has a greater impact on the rising developed countries, and the inappropriate industrial structure and a lack of human capital are the key barriers to steady developing countries. This study could contribute to the improvement in county planning and development and help to understand high-quality county development in China.
Authors
- Anni Tang (ORCID: https://orcid.org/0000-0002-9772-3293)
- Zhe Cheng (ORCID: https://orcid.org/0000-0002-3777-3934)
- Min Wang (ORCID: https://orcid.org/0000-0002-2357-589X)
- Qiong Wang (ORCID: https://orcid.org/0000-0002-8400-8354)
- Yun Li (ORCID: https://orcid.org/0000-0002-5982-9265)
Institutions
- Xi'an University of Architecture and Technology (CN)
- Xi'an Jiaotong University (CN)
Publication Details
- Journal
- Journal of Urban Planning and Development
- Published
- 2024-11-26
- DOI
- https://doi.org/10.1061/jupddm.upeng-5121
- Citations
- 7
- Primary Topic
- Urbanization and City Planning
- Type
- article
- Field-Weighted Citation Impact
- 13.71