Acta Geographica Sinica ›› 2022, Vol. 77 ›› Issue (12): 3055-3071.doi: 10.11821/dlxb202212008

• Population Geography • Previous Articles     Next Articles

Spatiotemporal differentiation and influencing factors on floating population distribution in city-town-rural areas of Jiangsu province

TANG Shuangshuang1,2(), ZHOU Jing3(), DENG Yinghui1, XU Qiqi1   

  1. 1. School of Geography, Nanjing Normal University, Nanjing 210023, China
    2. Jiangsu Center for Collaborative Innovation in Geographical Information Resource Development and Application, Nanjing 210023, China
    3. School of Management and Economics, Beijing Institute of Technology, Beijing 100081, China
  • Received:2022-08-11 Revised:2022-11-08 Online:2022-12-25 Published:2022-12-29
  • Contact: ZHOU Jing E-mail:sstang@njnu.edu.cn;jingzhou_e@126.com
  • Supported by:
    National Natural Science Foundation of China(42071179);Youth Program of National Natural Science Foundation of China(71904015);Project of Humanities and Social Sciences(19YJCZH146)

Abstract:

Based on the data of the sixth and seventh national censuses (Jiangsu province), this paper seeks to explore the spatiotemporal differentiation and influencing mechanism of the distribution of floating population in cities (districts), towns, and rural areas from 2010 to 2020. The findings show that: (1) The floating-permanent population ratio in cities and towns in Jiangsu generally increased from 2010 to 2020, but the rate of increase in towns was significantly higher than that in cities; the floating-permanent population ratio decreased in nearly half of the units in rural areas. (2) The gradient pattern (south Jiangsu - central Jiangsu - north Jiangsu) of the distribution of the floating population remained stable. South Jiangsu is still a highland for attracting the floating population, but towns in central and north Jiangsu have become attractive to the floating population in the province. There are also differences in the distribution of the intra- and inter-floating population in cities, towns, and rural areas. (3) The share of the floating population in parts of rural areas in south Jiangsu and some towns in central and north Jiangsu increased significantly, reflecting the agglomeration capacity of the towns and rural areas for the floating population. (4) The results of the models show that the increase in government social investments is important to enhancing the attractiveness of cities, towns, and rural areas to the floating population; the Engel coefficient of urban residents has different effects on intra- and inter-floating population in cities and towns; the impacts of industry in cities, towns and rural areas are positive; the upgrading of the economic structure only has a positive effect on the ratio of intra-floating population in cities and towns; the effect of the farming industry is negative in rural areas.

Key words: population distribution, floating population, spatiotemporal differentiation, influencing factors, Jiangsu province