中国地理科学 ›› 2021, Vol. 31 ›› Issue (2): 342-358.doi: 10.1007/s11769-021-1193-9

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Spatial Pattern of Long-term Residence in the Urban Floating Population of China and its Influencing Factors

CHEN Le1, XI Meijun2, JIN Wanfu3, HU Ya1   

  1. 1. School of Tourism & Research Institute of Human Geography, Xi’an International Studies University, Xi’an 710128, China;
    2. School of Economics, Xi’an University of Finance and Economics, Xi’an 710100, China;
    3. School of Geography and Tourism, Guangdong University of Finance and Economics, Guangzhou 510320, China
  • 收稿日期:2020-02-15 出版日期:2021-03-20 发布日期:2021-02-06
  • 通讯作者: XI Meijun E-mail:meijun_xi@126.com
  • 基金资助:
    Under the auspices of National Natural Science Foundation of China (No. 42001132), MOE (Ministry of Education in China) Project of Humanities and Social Sciences (No. 20YJC790009), Natural Science Basic Research Program of Shannxi, China (No. 2020JQ-838)

Spatial Pattern of Long-term Residence in the Urban Floating Population of China and its Influencing Factors

CHEN Le1, XI Meijun2, JIN Wanfu3, HU Ya1   

  1. 1. School of Tourism & Research Institute of Human Geography, Xi’an International Studies University, Xi’an 710128, China;
    2. School of Economics, Xi’an University of Finance and Economics, Xi’an 710100, China;
    3. School of Geography and Tourism, Guangdong University of Finance and Economics, Guangzhou 510320, China
  • Received:2020-02-15 Online:2021-03-20 Published:2021-02-06
  • Contact: XI Meijun E-mail:meijun_xi@126.com
  • Supported by:
    Under the auspices of National Natural Science Foundation of China (No. 42001132), MOE (Ministry of Education in China) Project of Humanities and Social Sciences (No. 20YJC790009), Natural Science Basic Research Program of Shannxi, China (No. 2020JQ-838)

摘要: Exploring long-term residence among the urban floating population is crucial to understanding urban growth in China, particularly since the 2008 financial crisis. By using China Migrants Dynamic Survey data for 2012-2014, China Labor-force Dynamics Survey data for 2014-2016, and macroscale urban matched data, we analyzed the spatial pattern of long-term residential behavior in China’s urban floating population in 2012-2016 and developed an urban spatial utility equilibrium model containing ‘macro’ urban factors and ‘micro’ individual and household factors to explain the pattern. The results first revealed that long-term residence is defined as ≥ 6 yr for the urban floating population in China. Second, members of this population are more likely to be long-term residents of the megacities in the three urban agglomerations in eastern China as well as of small and medium-sized cities in western and northeastern China, whereas short-term residence is more likely in cities in central China and near the three urban agglomerations. Third, urban population density and housing prices, both have a significant U-shaped effect, are main factors affecting the spatial pattern of long-term residence.

关键词: long-term residence, urban floating population, spatial pattern, spatial utility equilibrium model, China

Abstract: Exploring long-term residence among the urban floating population is crucial to understanding urban growth in China, particularly since the 2008 financial crisis. By using China Migrants Dynamic Survey data for 2012-2014, China Labor-force Dynamics Survey data for 2014-2016, and macroscale urban matched data, we analyzed the spatial pattern of long-term residential behavior in China’s urban floating population in 2012-2016 and developed an urban spatial utility equilibrium model containing ‘macro’ urban factors and ‘micro’ individual and household factors to explain the pattern. The results first revealed that long-term residence is defined as ≥ 6 yr for the urban floating population in China. Second, members of this population are more likely to be long-term residents of the megacities in the three urban agglomerations in eastern China as well as of small and medium-sized cities in western and northeastern China, whereas short-term residence is more likely in cities in central China and near the three urban agglomerations. Third, urban population density and housing prices, both have a significant U-shaped effect, are main factors affecting the spatial pattern of long-term residence.

Key words: long-term residence, urban floating population, spatial pattern, spatial utility equilibrium model, China