Spatial heterogeneity analysis and driving forces exploring of floating population in China's central and western regions:A case of henan province, China

被引:0
作者
Jia, Wuming [1 ]
Guo, Xiaomin [2 ]
机构
[1] New York Inst Technol, Old Westbury, NY 10023 USA
[2] Shanghai Univ Finance & Econ, Inst Finance & Econ, Sch Urban & Reg Sci, Shanghai 200433, Peoples R China
关键词
Floating population; Spatial pattern; Influence factors; Spatial heterogeneity; County-level cities; Central and western regions; SETTLEMENT INTENTION; URBAN MIGRATION; PATTERN; LABOR;
D O I
10.1016/j.apgeog.2025.103516
中图分类号
P9 [自然地理学]; K9 [地理];
学科分类号
0705 ; 070501 ;
摘要
Floating populations exhibit specific characteristics and regional disparities during different geographical regions and periods, significantly impacting the China's urbanization process. Within the context of the gradual normalization of population migration and the return of population from the central and western region, a systematic study of the spatial distribution and the influencing factors of floating population is necessary. As a typical province of central and western regions of China, this study examined spatial heterogeneity of influencing factors using spatial correlation and Geographically Weighted Regression (GWR) modelling in county-level cities within Henan province in 2010 and 2020. This study found, from 2010 to 2020, floating populations showed significant spatial deviations and a trend of accelerated concentration in central cities. The hotspots were spatially agglomerated in Zhengzhou Metropolitan Circle, while the coldspots were concentrated in southeastern Henan province. The impact of market regulation and public service levels on the spatial patterns of the floating population has gradually strengthened, the influence of government regulation has gradually weakened. The degree of impact of each explanatory variable on floating population distribution varies across regions in Henan Province. This study provides references to formulate targeted governance policies for the floating population in central and western regions of China.
引用
收藏
页数:12
相关论文
共 64 条
  • [1] Akaike H., A new Look at the statistical model identification, Selected papers of hirotugu Akaike, pp. 215-222, (1998)
  • [2] Bai X., Shi P., Liu Y., Society: Realizing China's urban dream, Nature, 509, 7499, pp. 158-160, (2014)
  • [3] Bosker M., Brakman S., Garretsen H., Schramm M., Relaxing Hukou: Increased labor mobility and China's economic geography, Journal of Urban Economics, 72, 2-3, pp. 252-266, (2012)
  • [4] Brunsdon C., Fotheringham S., Charlton M., Geographically weighted regression, Journal of the Royal Statistical Society: Series D (The Statistician), 47, 3, pp. 431-443, (1998)
  • [5] Chen A., Gao J., Urbanization in China and the coordinated development model—the case of Chengdu, The Social Science Journal, 48, 3, pp. 500-513, (2011)
  • [6] Chen L., Xi M., Jin W., Hu Y., Spatial pattern of long-term residence in the urban floating population of China and its influencing factors, Chinese Geographical Science, 31, 2, pp. 342-358, (2021)
  • [7] Clark G.H., Meric Gertler.Migration and capital, Annals of the Association of American Geographers, 73, 1, pp. 18-34, (1983)
  • [8] Clark G.H., Balland K.P., The demand and supply of labor and interstate relative wage:an empirical analysis, Economic Geography, 57, pp. 95-112, (1981)
  • [9] Dempster A.P., Schatzoff M., Wermuth N., A simulation study of alternatives to ordinary least squares, Journal of the American Statistical Association, 72, 357, pp. 77-91, (1977)
  • [10] Dong Y., Wang F., Wang K., Temporal and spatial changes of national day travel networks in urban agglomerations in China under the influence of COVID-19: Based on Baidu migration big data in 2019 and 2021, Geography and Geo-Information Science, 6, pp. 65-74, (2023)