Influencing factors and settlement intention in cities of floating population: A case study of Anhui Province

doi:10.3969/j.issn.1004-9479.2020.06.2019546

Abstract

Abstract:

Systematically exploring the settlement intention of floating population in the cities is not only the premise to promote the citizenship of floating population, but also the basis for decision-making in urban management. It has become the focus of current geography and sociology. Based on the data of the dynamic monitoring survey of the floating population in China in 2015, this study uses logistic regression model to explore the general characteristics of the floating population in Anhui Province, to analyze the settlement intention of floating population in the cities and its influencing factors. The results show that: (1) The migrant population in Anhui Province is mainly inter-provincial migration. The migrant population outside Anhui Province mainly gathers in the cities of Yangtze River Delta, but the scale of migrant population has shown a downward trend year by year. Economic development level and spatial distance are the main reasons for population migration. (2) The floating population in Anhui Province has a higher settlement intention, which tends to increase with the improvement of the economic level of the inflow areas; and the first generation of the floating population is more inclined to choose cities with better economic development to settle down, while the new generation is more inclined to choose cities with moderate and weak economic development to settle down, but the overall difference is not significant. (3) According to the influencing factors of the floating population's settlement intention in cities, the impact of the number of co-residents, the reasons for the flow, the length of the flow, the level of economic development in the inflow area and the location of household registration is most significant. From the intergenerational point of view, gender, employment income, net income, employment status and other factors significantly affect the new generation of migrant population, while family follow-up, economic level of migrant areas, age has a more significant impact on the first generation of migrant population.

Key words: floating population, settlement intention, influencing factors, Anhui Province

摘要：

流动人口市民化是以人为核心的新型城镇化的客观要求，系统探索流动人口的城市定居意愿既是促进流动人口市民化的前提，又能为城市管理提供决策依据，已成为当前地理学、社会学研究的重点。本研究基于2015年中国流动人口动态监测调查数据，以安徽省为案例地，在探讨安徽省人口流动的总体特征上，运用Logistic回归模型，解析流动人口城市定居意愿及影响因素，探究流动人口城市定居意愿的代际差异。结果表明：（1）安徽省流动人口以跨省流动为主，人口流动家庭化趋势明显，流向省外人口主要向长三角城市集聚，但流动人口规模已呈现逐年下降的趋势，经济发展水平和空间距离是影响人口流动的主要原因。（2）安徽省流动人口的定居意愿较高，有随着流入地经济水平的提高而增加的趋势；从新生代与初代流动人口来看，初代流动人口更倾向于选择经济发展较好的城市定居，而新生代流动人口更倾向于选择经济发展中等和较弱的城市定居，但整体差异不大。（3）从流动人口城市定居意愿的影响因素来看，同住人数、流动原因、流动时长、流入地经济发展水平、户口所在地的影响最大；从代际之间来看，性别、就业收入、净收入、就业身份等因素显著影响新生代流动人口，而家属随迁、流动地经济水平、年龄对初代流动人口的影响较为显著。

关键词: 流动人口, 定居意愿, 影响因素, 安徽省

Chengfeng YANG, Guangyan BAI, Huiran HAN. Influencing factors and settlement intention in cities of floating population: A case study of Anhui Province[J]. World Regional Studies, 2020, 29(6): 1136-1147.

杨成凤, 柏广言, 韩会然. 流动人口的城市定居意愿及影响因素——以安徽省为例[J]. 世界地理研究, 2020, 29(6): 1136-1147.

Figures/Tables 5

References 30

1	刘于琪, 刘晔, 李志刚. 中国城市新移民的定居意愿及其影响机制. 地理科学, 2014, 34(7):780-787.
	Liu Y, Liu Y, Li Z. Settlement intention of new migrants in China's large cities: Patterns and determinants. Scientia Geographica Sinica, 2014, 34(7):780-787.
2	Zolberg A R. Birds of passage: migrant labor and industrial societies by Michael J.Piore. International Migration Review, 1980,15: 404-405.
3	朱宇, 余立, 林李月,等. 两代流动人口在城镇定居意愿的代际延续和变化——基于福建省的调查. 人文地理, 2012, 27(3):1-6.
	Zhu Y, Yu L, Lin L, et al. Thecontinuity and change in the urban settlementintention between the two generation migrants—based on a survey in Fujian province. Human Geography, 2012,27(3):1-6.
4	湛东升, 张文忠, 党云晓,等. 中国流动人口的城市宜居性感知及其对定居意愿的影响. 地理科学进展, 2017, 36(10):1250-1259.
	Zhan D, Zhang W, Dang Y, et al. Urban livability perception of migrants in China and its effects on settlement intention. Progress in Geography, 2017, 36(10):1250-1259.
5	Chen J, Wang W. Economic incentives and settlement intentions of rural migrants: Evidence from China. Journal of Urban Affairs, 2019,41(3):372-389.
6	Chen S, Liu Z. What determines the settlement intention of rural migrants in China? Economic incentives versus sociocultural conditions. Habitat International, 2016, 58:42-50.
7	Cao G, Li M, Ma Y, Tao R. Self-employment and intention of permanenturban settlement: Evidence from a survey of migrants in China's four majorurbanizing areas. Urban Studies, 2015,52(4): 639-664.
8	Zhu Y, Chen W. The settlement intention of China's floating population in the cities: Recent changes and multifaceted individual‐level determinants. Population Space & Place, 2010, 16(4):253-267.
9	张鹏, 郝宇彪, 陈卫民. 幸福感、社会融合对户籍迁入城市意愿的影响——基于2011年四省市外来人口微观调查数据的经验分析. 经济评论, 2014(1):58-69.
	Zhang P, Hao Y, Chen W. Happiness, Social integration and migration decision. Economic Review, 2014(1):58-69.
10	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.
11	Tang S, Feng J. Cohort differences in the urban settlement intentions of rural migrants: A case study in Jiangsu Province, China. Habitat International, 2015, 49:357-365.
12	Yue Z S, Li S Z, 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	Zang B, Lv P, Warren C M J. Housing prices, rural-urban migrants' settlement decisions and their regional differences in China. Habitat International,2015,50:149-159.
14	梁土坤. 流动人口定居意愿影响因素分析. 人口与社会, 2016, 32(2):63-74.
	Liang T.Analysis on influencing factors of settling willingness of floating population. Population and Society, 2016, 32(2):63-74.
15	宋全成, 张倩. 社会融入因素对流动人口未来置房选择的影响——基于2014年全国流动人口动态监测调查数据的实证分析. 山东社会科学, 2017(9):70-76.
	Song Q, Zhang Q. The influence of social integration factors on the future housing choice of floating population: an empirical analysis based on the 2014 national migrant population dynamic monitoring survey. Shandong Social Sciences, 2017(9):70-76.
16	王玉君. 农民工城市定居意愿研究——基于十二个城市问卷调查的实证分析. 人口研究, 2013, 37(4):19-32.
	Wang Y. Settlement intention of rural migrants in Chinese cities: findings from a twelve-city migrant survey. Population Research, 2013, 37(4):19-32.
17	杨妮, 许倩, 王艳. "老漂族"长期定居意愿研究——基于成功老龄化的框架. 人口与发展, 2018,24(3):43-54.
	Yang N, Xu Q,Wang Y. Research on old floating people long-term settle willingness-based on successful aging. Population & Development, 2018,24(3):43-54.
18	Hao P, Tang S. Floating or settling down: The effect of rural landholdings on the settlement intention of rural migrants in urban China. Environment & Planning A, 2015, 47(9):289-298.
19	Zhu Y. China's floating population and their settlement intention in the cities: Beyond the Hukou reform. Habitat International, 2007, 31(1):65-76.
20	叶鹏飞. 农民工的城市定居意愿研究基于七省(区)调查数据的实证分析. 社会, 2011, 31(2):153-169.
	Ye P. Residential preferences of migrant workers: an analysis of the empirical survey data from seven provinces/districts. Society, 2011, 31(2):153-169.
21	Xie S, Chen J. Beyond homeownership: Housing conditions, housing support and rural migrant urban settlement intentions in China. Cities, 2018,78:76-86.
22	林李月, 朱宇, 许丽芳. 流动人口对流入地的环境感知及其对定居意愿的影响——基于福州市的调查. 人文地理, 2016,31(1):65-72.
	Lin L, Zhu Y, Xu L. The environmental perception and its effect on settlement intention of the floating population: a case study of Fuzhou city. Human Geography, 2016,31(1):65-72.
23	王伟, 陈杰, 艾玮依. 新生代农民工在三四线城市定居意愿及其影响机制研究——基于2014年长三角地区流动人口动态监测数据的考察. 华东师范大学学报(哲学社会科学版), 2016(4):30-37.
	Wang W, Chen J, Ai W. The settlement willingness of new generation of migrant workers in the third- and fourth-tier cities as well as its influential elements: base on the data from dynamic monitoring of the floating population in Yangtze River Delta. Journal of East China Normal University Humanities and Social Sciences, 2016(4):30-37.
24	朱宇, 林李月. 中国人口迁移流动的时间过程及其空间效应研究:回顾与展望. 地理科学, 2016, 36(6): 820-828.
	Zhu Y, Lin L. Studies on the temporal processes of migration and their spatial effects in China: progress and prospect. Scientia Geographica Sinica, 2016,36(6): 820-828.
25	梁土坤. 适应转化:新生代流动人口定居意愿的实证研究及其政策意涵. 中国人口资源与环境, 2017, 27(2):151-159.
	Liang T. Adaptation change: an empirical research on settlement intention and its policy implications of the new generation migrant population. China Population, Resources and Environment, 2017,27( 2) : 151-159.
26	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.
	Wei Z. 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.
27	Liu Y, Deng W, Song X. Influence factor analysis of migrants' settlement intention: Considering the characteristic of city. Applied Geography, 2018, 96:130-140.
28	Huang Y, Guo F, Cheng Z. Market mechanisms and migrant settlement intentions in urban China. Asian Population Studies, 2018,14(1):22-42.
29	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.
	Lin L, Zhu Y. 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.
30	陈昱, 陈银蓉, 马文博. 基于Logistic模型的水库移民安置区居民土地流转意愿分析——四川、湖南、湖北移民安置区的调查. 资源科学, 2011, 33(6):1178-1185.
	Chen Y, Chen Y, Ma W. Intention of land circulation in reservoirs resettlements based on the logistic model: an investigation into Sichuan, Hunan and Hubei Provinces. Resources Science, 2011, 33(6):1178-1185.

时间	2007年	2009年	2011年	2013年	2014年	2015年	2016年
15岁以下（%）	7.22	7.61	8.67	8.87	9.49	8.87	9.77
15~64岁（%）	91.82	91.52	89.31	89.43	88.27	88.97	88.37
65岁以上（%）	0.96	0.87	2.01	1.7	2.24	2.16	1.86
劳动力性别比	131.21	132.82	125.33	124.75	125.55	134.34	121.48
平均年龄	29.13	30.52	31.59	32.32	32.84	33.45	32.82

时间	2007年	2009年	2011年	2013年	2014年	2015年	2016年
15岁以下（%）	7.22	7.61	8.67	8.87	9.49	8.87	9.77
15~64岁（%）	91.82	91.52	89.31	89.43	88.27	88.97	88.37
65岁以上（%）	0.96	0.87	2.01	1.7	2.24	2.16	1.86
劳动力性别比	131.21	132.82	125.33	124.75	125.55	134.34	121.48
平均年龄	29.13	30.52	31.59	32.32	32.84	33.45	32.82

类型	全省			经济发展较弱城市			经济发展中等城市			经济发展较好城市
	打算	不打算	没想好	打算	不打算	没想好	打算	不打算	没想好	打算	不打算	没想好
新生代	69.2	10.5	20.3	65.6	13.2	21.2	66.8	10.7	22.3	71.1	9.7	19.2
初代	70.6	11	18.4	64.8	18	17	66.1	10.7	23.2	76.4	7.8	15.8
全部	69.8	10.7	19.5	65.2	15.5	19.2	66.4	10.7	22.9	72.9	9	18

类型	全省			经济发展较弱城市			经济发展中等城市			经济发展较好城市
	打算	不打算	没想好	打算	不打算	没想好	打算	不打算	没想好	打算	不打算	没想好
新生代	69.2	10.5	20.3	65.6	13.2	21.2	66.8	10.7	22.3	71.1	9.7	19.2
初代	70.6	11	18.4	64.8	18	17	66.1	10.7	23.2	76.4	7.8	15.8
全部	69.8	10.7	19.5	65.2	15.5	19.2	66.4	10.7	22.9	72.9	9	18

因素		定居者	非定居者			定居者	非定居者
个人属性				家庭属性
性别（%）	男	50.1	42.4	子女现居住地（%）	本地	82	62.6
性别（%）	女	49.9	57.6	子女现居住地（%）	非本地	18	37.4
平均年龄（岁）		34.46	34.72	月净收入（元）		3058.49	2822.29
受教育程度（%）	初中及以下	63.8	66.6	老人在老家居住（%）	是	56.4	51.3
	高中和中专	20.6	21.3	老人在老家居住（%）	否	43.6	48.7
	大专及以上	15.6	12.1	同住人数（个）		3.01	2.51
婚姻状况（%）	有配偶	94.8	86.8	流动特征
婚姻状况（%）	无配偶	5.2	13.2	流动范围（%）	跨省	7.6	17.9
就业属性					省内跨市	43.4	40.3
个人月收入（元）		4436.71	3841.74		市内跨县	49	41.8
周工作时长（时）		56.74	55.93	流动原因（%）	务工经商	78.5	74.1
单位性质（%）	个体/私营/社团	65.3	61.3		家属随迁	15.1	22.4
	外资/合资/股份	6.9	10.2		其他	6.4	3.5
	机关事业单位/国有/集体	11.4	14.3	制度属性
	无或其他	16.3	16.2	户口类型（%）	农业	85.5	86.6
就业身份（%）	雇员	50.7	60.1	户口类型（%）	其他	14.5	13.4
	雇主/自营劳动	48	38.9	本地健康档案（%）	是	31.1	28.7
	其他	1.3	1.1	本地健康档案（%）	否	68.9	71.3
经济特征				城镇职工医疗保险（%）	是	19	17
现居住城市（%）	经济较好城市	57	45.9	城镇职工医疗保险（%）	否	81	83
	经济中等城市	25.1	26.3	户口所在地（%）	安徽	92.4	82.1
	经济较弱城市	17.9	27.8	户口所在地（%）	其他	7.6	17.9