地理学报 ›› 2020, Vol. 75 ›› Issue (2): 240-254.doi: 10.11821/dlxb202002003
收稿日期:
2018-02-23
修回日期:
2019-10-30
出版日期:
2020-02-25
发布日期:
2020-04-25
通讯作者:
沈体雁
E-mail:tyshen@pku.edu.cn
作者简介:
古恒宇(1994-), 男, 广东河源人, 博士生, 研究方向为空间人口学、区域分析与规划。E-mail: henry. gu@pku.edu.cn
基金资助:
GU Hengyu1,2, MENG Xin1,3, SHEN Tiyan1(), CUI Nana4
Received:
2018-02-23
Revised:
2019-10-30
Online:
2020-02-25
Published:
2020-04-25
Contact:
SHEN Tiyan
E-mail:tyshen@pku.edu.cn
Supported by:
摘要:
流动人口居留意愿的影响因素往往存在显著的空间分异特征,然而既有研究对此关注较少。基于2015年中国流动人口动态监测数据,运用半参数地理加权回归(SGWR)模型,结合k均值聚类法,对中国城市流动人口居留意愿影响因素的空间分异特征展开研究。结论如下:① 流动人口居留意愿主要受流动人口群体自身特征的影响,受流入地的影响相对较弱;② 社会经济因素与流动人口居留意愿的关系紧密,人口、家庭及流动特征因素同样产生影响,收入、婚姻、跨省流动等因素对流动人口居留意愿产生抑制作用,而住房支出、参保率、子女个数等因素则产生促进作用;③ 各影响因素总体上呈现带状的空间分异模式,可概括为“E-W”“N-S”“NE-SW”“SE-NW”4种。民族、家庭等因素的正向影响自北向南递减,参保率、未婚率、二产就业等因素的影响自西北向东南递减,子女个数及人均GDP的影响自东北向西南递减。东部经济较发达地区高收入流动人口的居留意愿相对更弱,华南地区住房支出较高的流动人口居留意愿相对更强。④ 全国可划分为四大影响区,其中,华北地区、华中地区、华东地区受多因素共同影响;西北地区及部分西南地区主要受人口及社会因素的影响;东北三省及内蒙古东部地区主要受经济及家庭因素的影响;华南地区及部分中、东、西南部地区,除住房支出外,受大部分因素的影响相对最小。最后,本文对中国流动人口的服务与管理提出相应建议。
古恒宇, 孟鑫, 沈体雁, 崔娜娜. 中国城市流动人口居留意愿影响因素的空间分异特征[J]. 地理学报, 2020, 75(2): 240-254.
GU Hengyu, MENG Xin, SHEN Tiyan, CUI Nana. Spatial variation of the determinants of China's urban floating population's settlement intention[J]. Acta Geographica Sinica, 2020, 75(2): 240-254.
表1
变量描述及预期效应"
变量类型 | 变量名称 | 变量描述 | 预期效应 | |
---|---|---|---|---|
流动人口特征 | 人口变量 | AGE | 城市流动人口平均年龄(岁) | + |
SEX | 流动人口性别比例(%) | 未知 | ||
MARRY | 未婚流动人口比重(%) | - | ||
ETHNIC | 少数民族流动人口比重(%) | 未知 | ||
SCHOOL | 流动人口平均受教育年限(年)① | + | ||
流动特征变量 | STAY | 流入地平均停留时间(年) | + | |
DIST | 跨省流动比重(%) | 未知 | ||
社会变量 | HIRE | 流动人口中雇员比重(%) | - | |
AGRI | 农业户口流动人口比重(%) | - | ||
INSUR | 城镇职工保险参保率(%) | + | ||
SINDUS | 第二产业就业流动人口比重(%) | + | ||
DRIFT | 无固定职业流动人口比重(%) | - | ||
经济变量 | INCOME | 流动人口平均收入(元) | + | |
HOUSING | 家庭每月住房支出(元) | + | ||
PAYMENTS | 家庭总收入与总支出比(%) | + | ||
家庭变量 | LIV | 家庭同住人数(人) | + | |
CHILD | 流动人口子女个数(人) | + | ||
流入城市特征 | 经济变量 | PGDP | 流入地人均GDP(万元) | + |
GDPI | 流入地年GDP增长率(%) | + | ||
SAV | 人均城乡居民年末储蓄余额(元) | + | ||
社会变量 | DENS | 市辖区人口密度(人/km2) | + | |
EMP | 流入地就业人数(人) | + | ||
UNEMP | 流入地在岗职工平均失业率(%) | - | ||
WAGE | 流入地在岗职工平均工资(元) | + | ||
教育水平变量 | TEACH | 流入地人均小学教师数(人/人) | + |
表2
OLS模型、GWR模型及SGWR模型总体回归结果"
模型1:OLS模型 | 模型2:传统GWR模型 | 模型3:SGWR模型 | ||||||
---|---|---|---|---|---|---|---|---|
AGE | 0.0016 | 0.3942 | 0.0018 | 0.4226 | 0.0012 | 0.2731 | ||
SEX | 0.0055 | 0.4848 | 0.0049 | 0.4330 | 0.0048 | 0.4231 | ||
MARRY | -0.4552** | 4.0304 | -0.4461** | 3.8601 | -0.4566** | 3.9238 | ||
ETHNIC | 0.1733* | 2.1338 | 0.1893* | 2.1730 | 0.1968* | 2.1989 | ||
SCHOOL | -0.0246* | 2.0710 | -0.0213 | 1.7384 | -0.0209 | 1.6877 | ||
STAY | 0.0177** | 3.9468 | 0.0179** | 3.7273 | 0.0202** | 3.9823 | ||
DIST | -0.2008** | 6.1205 | -0.2154** | 6.3245 | -0.2193** | 6.3742 | ||
INCOME | -1.5270* | 2.1863 | -1.6669* | 2.3516 | -1.6902* | 2.3657 | ||
HIRE | 0.0520 | 0.8212 | 0.0472 | 0.7093 | 0.0503 | 0.7491 | ||
AGRI | -0.0988 | 0.9629 | -0.0649 | 0.6227 | -0.0648 | 0.6194 | ||
INSUR | 0.2494** | 3.0624 | 0.2798** | 3.3896 | 0.2785** | 3.3462 | ||
SINDUS | -0.1651* | 2.5394 | -0.1607* | 2.3969 | -0.1581* | 2.3335 | ||
DRIFT | -0.2125 | 0.9911 | -0.1220 | 0.5354 | -0.1137 | 0.4912 | ||
HOUSING | 0.4989* | 1.9758 | 0.5784* | 2.2298 | 0.5993* | 2.2868 | ||
LIV | 0.0837** | 3.4278 | 0.0761** | 3.0288 | 0.0718** | 2.8044 | ||
CHILD | 0.2270** | 3.1028 | 0.1861* | 2.3878 | 0.1789* | 2.2643 | ||
PAYMENTS | 0.0193 | 0.7178 | 0.0252 | 0.9336 | 0.0261 | 0.9661 | ||
PGDP | 0.1045** | 2.9659 | 0.0910* | 2.5095 | 0.0879* | 2.4039 | ||
GDPI | -0.0016 | 0.6464 | -0.0013 | 0.4975 | -0.0010 | 0.4019 | ||
SAV | -0.0197 | 0.5751 | -0.0193 | 0.5571 | -0.0192 | 0.5533 | ||
DENS | 0.0163 | 0.7163 | 0.0239 | 1.0346 | 0.0258 | 1.1056 | ||
EMP | 0.0108 | 1.3097 | 0.0110 | 1.3219 | 0.0107 | 1.2934 | ||
UNEMP | -0.0894 | 0.4513 | -0.0739 | 0.3381 | -0.1083 | 0.5534 | ||
WAGE | -0.0570 | 0.7534 | -0.0507 | 0.6202 | -0.0468 | -0.5620 | ||
TEACH | -0.0001 | 0.2983 | 0.0001 | 0.3507 | 0.0001 | 0.3672 | ||
常量 | 0.4748 | 1.4295 | 0.4417 | 1.3039 | 0.4624 | 1.3562 | ||
样本数量 | 282 | 282 | 282 | |||||
R2 | 0.6055 | 0.6594 | 0.6665 | |||||
调整后R2 | 0.5653 | 0.5930 | 0.5995 | |||||
AICc | -456.8397 | -467.1891 | -470.2394 | |||||
AICc减小值 | 10.3494 | 13.3997 |
表3
流动人口居留意愿影响区划分"
变量 | Ⅰ类区 | Ⅱ类区 | Ⅲ类区 | Ⅳ类区 |
---|---|---|---|---|
PGDP | 0.092 | 0.086 | 0.103 | 0.077 |
MARRY | -0.448 | -0.512 | -0.441 | -0.435 |
DIST | -0.214 | -0.240 | -0.169 | -0.232 |
INCOME | -1.757 | -1.512 | -1.802 | -1.680 |
INSUR | 0.276 | 0.302 | 0.276 | 0.267 |
SINDUS | -0.163 | -0.174 | -0.160 | -0.140 |
ETHNIC | 0.214 | 0.202 | 0.405 | 0.090 |
HOUSING | 0.595 | 0.609 | 0.465 | 0.650 |
LIV | 0.073 | 0.073 | 0.081 | 0.066 |
CHILD | 0.215 | 0.096 | 0.377 | 0.111 |
人口比例(%) | 49.01 | 16.26 | 7.53 | 27.20 |
城市数(个) | 113 | 57 | 31 | 81 |
[1] | Department of Migrant Population, National Health and Family Planning Commission of the People's Republic of China. 2017 Report on China's Migrant Population Development. Beijing: China Population Publishing House, 2017. |
[ 国家卫生和计划生育委员会流动人口司. 中国流动人口发展报告2017. 北京: 中国人口出版社, 2017.] | |
[2] | Li Qiang . An analysis of push and pull factors in the migration of rural workers in China. Social Sciences in China, 2003(1):125-136. |
[ 李强 . 影响中国城市流动人口的推力与拉力因素分析. 中国社会科学, 2003(1):125-136.] | |
[3] | Lewis W A . Economic development with unlimited supplies of labour. Manchester School, 1954,22(2):139-191. |
[4] | Todaro M P . A model of labor migration and urban unemployment in less developed countries. American Economic Review, 1969,59(1):138-148. |
[5] | Massey D S, Arango J, Hugo G , et al. Theories of international migration: A review and appraisal. Population & Development Review, 1993,19(3):431-466. |
[6] | Stark O, Bloom D E . The new economics of labor migration. The American Economic Review, 1985,75(2):173-178. |
[7] | Stark O, Levhari D . On migration and risk in LDCs. Economic Development & Cultural Change, 1982,31(1):191-196. |
[8] | Gu H, Liu Z, Shen T . Spatial pattern and determinants of migrant workers' interprovincial hukou transfer intention in China: Evidence from a National Migrant Population Dynamic Monitoring Survey in 2016. Population, Space and Place, 2019: 2250. . |
[9] | Zhu Y, Chen W . The settlement intention of China's floating population in the cities: Recent changes and multifaceted individual-level determinants. Population,Space and Place, 2010,16(4):253-267. |
[10] | Zhu Y . China's floating population and their settlement intention in the cities: Beyond the Hukou reform. Habitat International, 2007,31(1):65-76. |
[11] | Hu F, Xu Z, Chen Y . Circular migration, or permanent stay? Evidence from China's rural-urban migration. China Economic Review, 2011,22(1):64-74. |
[12] | Yue Z, Li S, Feldman M W , et al. Floating choices: A generational perspective on intentions of rural-urban migrants in China. Environment and Planning A, 2010,42(3):545-562. |
[13] | Chen J, Wang W . Economic incentives and settlement intentions of rural migrants: Evidence from China. Journal of Urban Affairs, 2018: 1-18. |
[14] | Li Shuzhuo, Wang Weibo, Yue Zhongshan . A comparative study on settlement intentions between self-employed and employed migrants. Population & Economics, 2014(2):12-21. |
[ 李树茁, 王维博, 悦中山 . 自雇与受雇农民工城市居留意愿差异研究. 人口与经济, 2014(2):12-21.] | |
[15] | Yang Chuankai, Liu Ye, Xu Wei , et al. The determinants for peasants' migration intentions of moving to cities in China: An analysis based on the CGSS 2010. Geographical Research, 2017,36(12):2369-2382. |
[ 杨传开, 刘晔, 徐伟 , 等. 中国农民进城定居的意愿与影响因素: 基于CGSS2010的分析. 地理研究, 2017,36(12):2369-2382.] | |
[16] | Hou Jianming, Li Xiaogang . The analysis of the status of China's floating elderly population and its influencing factors. Population Journal, 2017,39(6):62-70. |
[ 侯建明, 李晓刚 . 我国流动老年人口居留意愿及其影响因素分析. 人口学刊, 2017,39(6):62-70.] | |
[17] | Yu Xiao, Chen Xinzao . The influence of income and social status on the urban residence intention of the floating population: An empirical study based on Guangdong Province. Social Sciences in Guangdong, 2017(3):181-190. |
[ 于潇, 陈新造 . 经济收入与社会地位对流动人口城市居留意愿的影响: 基于广东省的实证研究. 广东社会科学, 2017(3):181-190.] | |
[18] | Huang Y, Guo F, Cheng Z . Market mechanisms and migrant settlement intentions in urban China. Asian Population Studies, 2018,14(1):22-42. |
[19] | Liu Z, Wang Y, Chen S . Does formal housing encourage settlement intention of rural migrants in Chinese cities? A structural equation model analysis. Urban Studies, 2017,54(8):1834-1850. |
[20] | Fan C C . Settlement intention and split households: Findings from a survey of migrants in Beijing's urban villages. China Review, 2011: 11-41. |
[21] | Zheng S, Long F, Fan C C , et al. Urban villages in China: A 2008 survey of migrant settlements in Beijing. Eurasian Geography and Economics, 2009,50(4):425-446. |
[22] | Haug S . Migration networks and migration decision-making. Journal of Ethnic and Migration Studies, 2008,34(4):585-605. |
[23] | Zhang Huachu, Cao Yue, Wang Menggong . The influence of social integration on the migrants' willingness of long-term residence in Guangzhou City. Northwest Population, 2015(1):7-11. |
[ 张华初, 曹玥, 汪孟恭 . 社会融合对广州市流动人口长期居留意愿的影响. 西北人口, 2015(1):7-11.] | |
[24] | Goodkind D, West L A . China's floating population: Definitions, data and recent findings. Urban Studies, 2002,39(12):2237-2250. |
[25] | Tang S, Hao P . Floaters, settlers, and returnees: Settlement intention and hukou conversion of China's rural migrants. China Review, 2018,18(1):11-33. |
[26] | Khoo S E, Hugo G, McDonald P . Which skilled temporary migrants become permanent residents and why? International Migration Review, 2008,42(1):193-226. |
[27] | Lin Liyue, Zhu Yu . Spatial variation and its determinants of migrants' Hukou transfer intention of China's prefecture- and provincial-level cities: Evidence from the 2012 national migrant population dynamic monitoring survey. Acta Geographica Sinica, 2016,71(10):1696-1709. |
[ 林李月, 朱宇 . 中国城市流动人口户籍迁移意愿的空间格局及影响因素: 基于2012年全国流动人口动态监测调查数据. 地理学报, 2016,71(10):1696-1709.] | |
[28] | Wei Zhixin . A region-specific comparative study of factors influencing the residing preference among migrant population in different areas: Based on the dynamic monitoring & survey data on the migrant population in five cities of China. Population & Economics, 2013(4):12-20. |
[ 蔚志新 . 分地区流动人口居留意愿影响因素比较研究: 基于全国5城市流动人口动态监测调查数据. 人口与经济, 2013(4):12-20.] | |
[29] | Yang Dongliang . A comparative study on settlement intention of the floating population in Northeast China. Population Journal, 2016,38(5):34-44. |
[ 杨东亮 . 东北流出流入人口的城市居留意愿比较研究. 人口学刊, 2016,38(5):34-44.] | |
[30] | Liang Haiyan . Characteristics and residence intention of floating population in border areas. Population and Society, 2017,33(2):59-67. |
[ 梁海艳 . 边疆地区流动人口基本特征及居留意愿. 人口与社会, 2017,33(2):59-67.] | |
[31] | Yu Xiao, Chen Xinzao . The influence of income and social status on the urban residence intention of the floating population: An empirical study based on Guangdong Province. Social Sciences in Guangdong, 2017(3):181-190. |
[ 于潇, 陈新造 . 经济收入与社会地位对流动人口城市居留意愿的影响: 基于广东省的实证研究. 广东社会科学, 2017(3):181-190.] | |
[32] | Gu Hengyu, Shen Tiyan, Zhou Lin , et al. Measuring street layout's spatio-temporal effects on housing price based on GWR and sDNA Model: The case study of Guangzhou. Economic Geography, 2018,38(3):82-91. |
[ 古恒宇, 沈体雁, 周麟 , 等. 基于GWR和sDNA模型的广州市路网形态对住宅价格影响的时空分析. 经济地理, 2018,38(3):82-91.] | |
[33] | National Bureau of Statistics of People's Republic of China. 2016 China City Statistical Yearbook. Beijing: China Statistics Press, 2017. |
[ 国家统计局. 中国城市统计年鉴2016. 北京: 中国统计出版社, 2017.] | |
[34] | Piore M J . Birds of Passage: Migrant Labor and Industrial Societies. Cambridge: Cambridge University Press, 1979. |
[35] | Hu Angang, Li Chunbo . New poverty during the new century: Knowledge poverty. Social Sciences in China, 2001(3):70-81. |
[ 胡鞍钢, 李春波 . 新世纪的新贫困: 知识贫困. 中国社会科学, 2001(3):70-81.] | |
[36] | Fotheringham A S, Brunsdon C, Charlton M . Geographically Weighted Regression: The Analysis of Spatially Varying Relationships. England: Wiley, 2003. |
[37] | Fotheringham A S, Kelly M H, Charlton M . The demographic impacts of the Irish famine: Towards a greater geographical understanding. Transactions of the Institute of British Geographers, 2013,38(2):221-237. |
[38] | Shen Y, Karimi K . The economic value of streets: Mix-scale spatio-functional interaction and housing price patterns. Applied Geography, 2017,79:187-202. |
[39] | Windle M J S, Rose G A, Devillers R , et al. Exploring spatial non-stationarity of fisheries survey data using geographically weighted regression (GWR): An example from the Northwest Atlantic. Journal of Vlsi Signal Processing Systems for Signal Image & Video Technology, 2010,42(3):285-296. |
[40] | Gu Hengyu, Qin Xiaoling, Shen Tiyan . Spatial variation of migrant population's return intention and its determinants in China's prefecture and provincial level cities. Geographical Research, 2019,38(8):1877-1890. |
[ 古恒宇, 覃小玲, 沈体雁 . 中国城市流动人口回流意愿的空间分异及影响因素. 地理研究, 2019,38(8):1877-1890.] | |
[41] | Yin Jiangbin . Advances in research on driving factors of return migration and employment behavior of migrants. Progress in Geography, 2015,34(9):1084-1095. |
[ 殷江滨 . 劳动力回流的驱动因素与就业行为研究进展. 地理科学进展, 2015,34(9):1084-1095.] |
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