Research on County Urbanization in China:Evolution,Hotspots and Frontier Trends
County urbanization is of great significance for building a new type of the relationship between industry and agriculture,and between urban and rural areas and comprehensively promoting Chinese path to modernization.Based on 1,092 CSSCI journals from 1999 to 2024,this paper analyzes the research overview of county urbanization from three levels of evolutionary,research hotspots and frontier issues by comprehensively applying the literature analysis method and the Citespace software.The study finds that,firstly,along with the transformation of the policy objectives of county urbanization,the research topics have expanded from county economy to multiple areas of county development.The"time"is gradually ripe for more systematic investigation of county urbanization.Secondly,the research hotspots of county urbanization can be summarized into five aspects:theoretical connotation and development mechanism,level e-valuation and analysis of spatiotemporal evolution,influencing factors and optimization mechanism,county urbanization effect and synergistic promotion strategy,case study and practical experience summary.Thirdly,the trend of research frontiers can be summarized into three aspects:research on spatiotemporal heterogeneity of county urbanization,explo-ration of rural revitalization issues in the process of county urbanization,and the study of common prosperity and urban-rural integration in the context of county urbanization.In the future,academics should focus on exploring issues such as county population urbanization,county economic development,urban agglomeration and functional layout of county,county urbanization in central-western and northeastern regions,sustainable county urbanization,and interdisciplinary research in counties,so as to contribute theoretical wisdom to the construction of a path of county urbanization with Chinese characteristics.
county urbanizationurban-rural integrationcommon prosperitycounty economyknowledge map
万方数据
维普
