流动人口流出地住房投资特征及影响因素——基于福建省的调查

doi:10.13249/j.cnki.sgs.2020.03.008

地理科学 ›› 2020, Vol. 40 ›› Issue (3): 401-408.doi: 10.13249/j.cnki.sgs.2020.03.008

流动人口流出地住房投资特征及影响因素——基于福建省的调查

林李月^1,², 朱宇^1,²(), 柯文前^1,², 林存贞¹

^1. 福建师范大学地理研究所/湿润亚热带生态地理过程教育部重点实验室（福建师范大学）, 福建福州 350007
^2. 上海大学亚洲人口研究中心,上海 200444

收稿日期:2019-04-09 修回日期:2019-06-05 出版日期:2020-03-10 发布日期:2020-05-13
通讯作者: 朱宇 E-mail:E-mail:Zhu300@fjnu.edu.cn
作者简介:林李月(1985-),女,福建霞浦人,副研究员,主要从事人口迁移流动与城乡发展研究。E-mail: lly30@163.com
基金资助:
国家自然科学基金项目(41971180);国家自然科学基金项目(41971168);国家自然科学基金项目(41601165);福建省自然科学基金项目资助(2018J01738)

The Characteristics and Determinants of the Floating Population’s Housing Invest-ment in the Places of Origin: Evidence from a Survey in Fujian Province

Lin Liyue^1,², Zhu Yu^1,²(), Ke Wenqian^1,², Lin Cunzhen¹

^1. Institute of Geography, Key Laboratory for Humid Subtropical Eco-geographical Processes of the Ministry of Education, Fujian Normal University, Fuzhou 350007, Fujian, China
^2. Asian Demographic Research Institute, Shanghai University, Shanghai 200444, China

Received:2019-04-09 Revised:2019-06-05 Online:2020-03-10 Published:2020-05-13
Contact: Zhu Yu E-mail:E-mail:Zhu300@fjnu.edu.cn
Supported by:
National Natural Science Foundation of China(41971180);National Natural Science Foundation of China(41971168);National Natural Science Foundation of China(41601165);Natural Science Foundation of Fujian Province(2018J01738)

摘要/Abstract

摘要：

基于福建省2015年调查问卷数据,采用描述统计和二项 logistic回归,探讨流动人口在其流动过程中在流出地住房投资特征及影响因素。研究发现：流动人口流出地住房投资较为普遍,以农村建房为主,城镇购房为辅;流动人口流出地住房投资行为具有明显的时期效应和生命历程特征;个体生命历程是影响流动人口流出地住房投资的直接力量,流出地社区环境是外部驱动力,家庭跨地区生计特征则具有“促进”与“阻碍”双重作用。

关键词: 跨地区生计, 生命历程, 住房投资, 流出地, 流动人口

Abstract:

China’s floating population is the biggest mobile population in the world. Most of its members are not able to settle down and be fully integrated into the destination cities, need to circulate between the places of origin and destination, and adopt multi-locational livelihood strategies. The bi-local or even multi-local housing arrangement is an important part of the floating population’s multi-locational livelihood strategies, and a growing body of literature has been devoted to understanding their housing conditions and their determinants in the destination cities in such a context. Nevertheless, within this growing body of literature, far less attention has been given to understanding the housing investment and its determinants of the floating population in the places of origin. Using data from a survey of the floating population in Fujian Province in 2015, this article intends to fill this gap by examining two forms of the floating population’s housing investment in their places of origin, namely village home renovation and housing purchase. The article estimates two binary logistic regression models to examine the underlying factors affecting the decision and location selection of the floating population’s housing investment in their places of origin, and the main conclusions are as follows: 1) Housing investment in the places of origin is quite common among members of the floating population, with village home renovation being more widespread than housing purchase as the form of housing investment. 2) The floating population’s housing investment at their places of origin has been significantly affected by the periods of the investment and the life course of the investors, resulting from the interaction among China's macroeconomic situation, relevant government policies, and life events of individual members of the floating population. 3) Life courses of individual members of the floating population, their multi-locational livelihoods strategies, and community characteristics of their places of origin jointly determine both the decision and location selection of the floating population’s housing investment in their places of origin. The individual life course is the direct force determining floating population’s housing investment in their places of origin, and the community environment in the places of origin is the external driving force for such investment. The average annual amount of remittances and the times of returning home of the floating population play important and positive roles in promoting the housing investment of floating population in the places of origin, but the familization of the floating population’s migration and participation in the transfer of land use rights have a negative effect on the floating population’s housing investment in their places of origin.

Key words: multi-locational livelihoods strategy, life course, housing investment, the places of origin, the floating population

中图分类号:

F323.6

林李月, 朱宇, 柯文前, 林存贞. 流动人口流出地住房投资特征及影响因素——基于福建省的调查[J]. 地理科学, 2020, 40(3): 401-408.

Lin Liyue, Zhu Yu, Ke Wenqian, Lin Cunzhen. The Characteristics and Determinants of the Floating Population’s Housing Invest-ment in the Places of Origin: Evidence from a Survey in Fujian Province[J]. SCIENTIA GEOGRAPHICA SINICA, 2020, 40(3): 401-408.

图/表 4

表1

图 1

图2

表2

福建省流动人口流出地住房投资影响因素的回归结果"

	模型1：住房投资决策		模型2：住房投资区位选择
	$B$	Exp ( $B$ )	$B$	Exp ( $B$ )
生命历程
年龄	-0.039^***	0.962	0.028^***	1.028
婚姻状况(在婚)	0.338^***	1.402	-0.258	0.773
受教育年限	-0.095^***	0.910	0.201^***	1.223
职业类型(商业服务业人员)
白领人员	0.123	1.131	-0.427	0.651
制造加工人员	0.613^***	1.846	-0.790^***	0.454
生计特征
家庭流动类型(与家人流动)	0.035^*	1.034	-0.765^***	0.465
年均汇款对数	0.164^***	1.178	-0.106	0.900
年均回家次数（>1次）
<1次	-1.241^***	0.289	-0.044	0.957
1次	-0.323^**	0.724	-0.285	0.752
是否参与土地流转(是)	-0.338^***	0.713	-0.115	0.891
家庭特征
家庭规模	0.042	1.043	-0.100	0.905
家庭月均收入对数	0.039	1.039	0.088	1.092
家庭耕地数量	0.002	1.003	-0.175	0.839
社区环境
流出地村庄地形：平原	0.043^*	1.045	-0.086	0.918
流出地村庄地形：丘陵	0.191^*	1.211	-0.011	0.989
流出地村庄距乡镇中心距离对数	-0.277^**	0.758	-0.237	0.789
流入地与流出地空间关系（跨省）	-0.499^**	0.607	0.239	1.270
常量	1.398^***	4.048	-2.369^***	0.094
-2 对数似然值	2494.094		871.415
Nagelkerke R²	0.127		0.186
卡方值	195.797^***		115.335^***

表2

参考文献 22

[1]	刘涛, 齐元静, 曹广忠 . 中国流动人口空间格局演变机制及城镇化效应: 基于2000和2010年人口普查分县数据的分析[J]. 地理学报, 2015,70(4):567-581. doi: 10.11821/dlxb201504005
	[ Liu Tao, Qi Yuanjing, Cao Guangzhong . China's floating population in the 21st century: Uneven landscape, influencing factors, and effects on urbanization. Acta Geographica Sinica, 2015,70(4):567-581.] doi: 10.11821/dlxb201504005
[2]	林李月, 朱宇, 柯文前 , 等. 基本公共服务对不同规模城市流动人口居留意愿的影响效应[J]. 地理学报, 2019,74(4):741-756.
	[ Lin Liyue, Zhu Yu, Ke Wenqian et al The impact of migrants' access to urban public services on their urban settlement intentions: A study from the perspective of different-sized cities. Acta Geographica Sinica, 2019,74(4):741-756.]
[3]	朱宇, 林李月 . 流动人口的流迁模式与社会保护: 从“城市融入”到“社会融入”[J]. 地理科学, 2011,31(3):264-271.
	[ Zhu Yu, Lin Liyue . Mobility patterns of floating population and their social protection: Moving from ‘urban inclusion’ to ‘social inclusion’. Scientia Geographica Sinica, 2011,31(3):264-271.]
[4]	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[J]. 地理科学, 2016,36(6):820-828. doi: 10.13249/j.cnki.sgs.2016.06.003
	[ Zhu Yu, Lin Liyue . Studies on the temporal processes of migration and their spatial effects in China: Progress and prospect. Scientia Geographica Sinica, 2016,36(6):820-828.] doi: 10.13249/j.cnki.sgs.2016.06.003
[5]	Schmidt-Kallert E, Franke P . Living in two worlds: Multi-locational household arrangements among migrant workers in China[J]. Die Erde, 2012,143(3):263-284.
[6]	林存贞, 林李月, 朱宇 , 等. 跨地区生计视角下流动人口在流出地住房投资行为的时空特征[J]. 人文地理, 2018,33(4):43-51.
	[ Lin Cunzhen, Lin Liyue , Zhu Yu et al. The time-space patterns of the migrants' housing investment behavior in their origin places under the perspective of multi-locational livelihood. Human Geography, 2018,33(4):43-51.]
[7]	林李月, 朱宇, 梁鹏飞 , 等. 基于六普数据的中国流动人口住房状况的空间格局[J]. 地理研究, 2014,33(5):887-898. doi: 10.11821/dlyj201405008
	[ Lin Liyue, Zhu Yu, Liang Pengfei et al. The spatial patterns of housing conditions of the floating population in China based on the sixth census date. Geographic Research, 2014,33(5):887-898.] doi: 10.11821/dlyj201405008
[8]	李志刚 . 中国大都市新移民的住房模式与影响机制[J]. 地理学报, 2012,67(2):189-200. doi: 10.11821/xb201202005
	[ Li Zhigang . Housing conditions, patterns and mechanisms of second generation migrants in urban China: A case study of six large cities. Acta Geographica Sinica, 2012,67(2):189-200.] doi: 10.11821/xb201202005
[9]	Tao L, Hui E C M, Wong F K W et al. Housing choices of migrant workers in China: Beyond the Hukou perspective[J]. Habitat International, 2015,49:474-483. doi: 10.1016/j.habitatint.2015.06.018
[10]	赵静, 闫小培, 朱莹 . 深圳市城中村“非正规住房”空间特征与演化研究[J]. 地理科学, 2016,36(12):1802-1810. doi: 10.13249/j.cnki.sgs.2016.12.005
	[ Zhao Jing, Yan Xiaopei, Zhu Ying . Spatial characteristics and evolution of informal housing in Urban Village of Shenzhen. Scientia Geographica Sinica, 2016,36(12):1802-1810.] doi: 10.13249/j.cnki.sgs.2016.12.005
[11]	朱竑, 张博, 马凌 . 新型城镇化背景下中国流动人口研究:议题与展望[J]. 地理科学, 2019,39(1):1-11. doi: 10.13249/j.cnki.sgs.2019.01.001
	[ Zhu Hong, Zhang Bo, Ma Ling . A review of chinese internal migration research under the background of new-type urbanization: Topics and prospects. Scientia Geographica Sinica, 2019,39(1):1-11.] doi: 10.13249/j.cnki.sgs.2019.01.001
[12]	明娟, 曾湘泉 . 农村劳动力外出与家乡住房投资行为: 基于广东省的调查[J]. 中国人口科学, 2014,34(4):110-120.
	[ Ming Juan, Zeng Xiangquan . Migration and housing investment in rural China: Based on the survey in Guangdong province. Chinese Journal of Population Science, 2014,34(4):110-120.]
[13]	胡建坤, 田秀娟 . 农民工回乡建房行为研究[J]. 农业经济问题, 2012,33(12):53-60.
	[ Hu Jiankun, Tian Xiujuan . An empirical study on behavior of migrant worker's going back to build farmhouses in China. Issues in Agricultural Economy, 2012,33(12):53-60. ]
[14]	闫东升, 杨槿 . 中国县域市民化需求人口分布时空格局演变[J]. 地理科学, 2017,37(10):1486-1496. doi: 10.13249/j.cnki.sgs.2017.10.005
	[ Yan Dongsheng, Yang Jin . Temporal-spatial pattern of citizenization demand population at county level in China. Scientia Geographica Sinica, 2017,37(10):1486-1496.] doi: 10.13249/j.cnki.sgs.2017.10.005
[15]	吴开泽 . 房改进程、生命历程与城市住房产权获得(1980-2010年)[J]. 社会学研究, 2017,32(5):64-89.
	[ Wu Kaize . Housing reform, life course and urban housing acquisition (1980-2010). Sociological Studies, 2017,32(5):64-89.]
[16]	邵书峰 . 新农村建设视角下农户住房投资行为分析: 基于河南省南阳市600农户的调查[J]. 调研世界, 2009(4):22-23.
	[ Shao Shufeng . An analysis of rural households’housing investment behaviors from the perspective of new rural construction: Based on the survey of 600 rural households in Nanyang City, Henan Province. The Word of Survey and Research, 2009(4):22-23. ]
[17]	方丽, 田传浩 . 筑好巢才能引好凤: 农村住房投资与婚姻缔结[J]. 经济学(季刊), 2016,15(2):571-596.
	[ Fang Li, Tian Chuanhao . A good house gets you a good wife: Rural housing investment and marriage matching. China Economic Quarterly, 2016,15(2):571-596.]
[18]	郭志刚 . 社会统计分析方法——SPSS软件应用(第二版)[M]. 北京: 中国人民大学出版社, 2015.
	[ Guo Zhigang. Social statistical analysis method-application of SPSS (2nd Edition). Beijing: Renmin University of China Press, 2015.]
[19]	曾文凤, 高更和 . 中国中部农区农民工多阶流动及影响因素研究——以河南省 6 个村为例[J]. 地理科学, 2019,39(3):459-466. doi: 10.13249/j.cnki.sgs.2019.03.012
	[ Zeng Wenfeng, Gao Genghe . Multi-order flow and its influencing factors of migrant workers in agricultural areas of central China: Case study of six villages in Henan Province. Scientia Geographica Sinica, 2019,39(3):459-466.] doi: 10.13249/j.cnki.sgs.2019.03.012
[20]	张海东, 杨城晨 . 住房与城市居民的阶层认同: 基于北京、上海、广州的研究[J]. 社会学研究, 2017,32(5):39-63.
	[ Zhang Haidong, Yang Chengchen . Housing and the class identity of urban residents: A study based on data from Beijing, Shanghai and Guangzhou. Sociological Studies, 2017,32(5):39-63.]
[21]	Osili U O . Migrant and housing investment: Theory and evidence from Nigeria[J]. Economic Development and Cultural Change, 2004,52(4):821-849. doi: 10.1086/420903
[22]	Smith L, Mazzucato V . Constructing home, building relationship: Migrant investments in houses[J]. Tijdschrift Voor Economische en Sociale Geografie, 2009,100(5):662-673. doi: 10.1111/tesg.2009.100.issue-5

变量名称		变量定义	是否进行住房投资		住房投资的区位
变量名称		变量定义	均值	标准差	均值	标准差
因变量	流出地住房投资行为	否=0,是=1	0.421	0.494	-	-
	住房投资区位选择	农村建房=0,城镇购房=1	-	-	0.280	0.449
自变量	生命历程
	年龄	连续变量,单位：岁	30.740	9.670	29.320	8.917
	婚姻状况	单身=0,在婚=1	0.716	0.451	0.662	0.473
	受教育年限	连续变量,单位：a	9.645	2.944	9.486	2.847
	职业类型	白领人员=1,制造加工人员=2,商业服务人员=3	2.346	0.607	2.474	0.669
	生计特征
	家庭流动类型	单独流动=0,与家人流动=1	0.677	0.468	0.657	0.475
	年均汇款	对实际值取对数（元）	2.953	1.554	3.196	1.370
	年均回家次数	<1次=1,1次=2,>1次=3	2.354	0.617	2.422	0.562
	是否参与土地流转	否=0,是=1	0.296	0.456	0.313	0.464
	家庭特征
	家庭规模	实际家庭人口数量（人）	4.766	1.475	4.856	1.459
	家庭月均收入	对实际值取对数（元）	3.156	0.987	3.201	0.760
	家庭耕地数量	对实际值取对数（hm²）	122.000	201.000	133.000	210.000
	社区环境
	村庄地形	平原=1,丘陵=2,山地或高原=3	1.863	0.774	1.855	0.758
	村庄距乡镇中心距离	对实际值取对数（km）	0.665	0.477	0.640	0.475
	流入地与流出地位置关系	省内流动=0,跨省流动=1	0.566	0.496	0.590	0.492

流动人口流出地住房投资特征及影响因素——基于福建省的调查

The Characteristics and Determinants of the Floating Population’s Housing Invest-ment in the Places of Origin: Evidence from a Survey in Fujian Province

RichHTML

PDF (PC)

赞

可视化

摘要/Abstract

引用本文

使用本文

图/表 4

参考文献 22

相关文章 15

Metrics

本文评价

推荐阅读 0

[1]	罗小龙, 曹姝君, 顾宗倪. 回流城镇化：中部地区城镇化开启新路径[J]. 地理科学, 2020, 40(5): 685-690.
[2]	古恒宇, 李琦婷, 沈体雁. 东北三省流动人口居留意愿的空间差异及影响因素[J]. 地理科学, 2020, 40(2): 261-269.
[3]	陈昊曦, 袁振杰, 蔡晓梅. 广州法系群体的日常生活与地方认同研究[J]. 地理科学, 2020, 40(12): 2027-2036.
[4]	李在军, 尹上岗, 张晓奇, 秦兴方. 中国城市流动人口房租收入比时空格局及驱动因素[J]. 地理科学, 2020, 40(1): 103-111.
[5]	李志刚, 梁奇, 林赛南. 转型期中国大城市流动人口的身份认同、特征与机制[J]. 地理科学, 2020, 40(1): 40-49.
[6]	林李月, 朱宇, 柯文前. 居住选择对流动人口城市居留意愿的影响——基于一项对福建省流动人口的调查[J]. 地理科学, 2019, 39(9): 1464-1472.
[7]	王新贤, 高向东. 中国流动人口分布演变及其对城镇化的影响——基于省际、省内流动的对比分析[J]. 地理科学, 2019, 39(12): 1866-1874.
[8]	古恒宇, 刘子亮, 沈体雁. 中国省际流动人口户籍迁移意愿的空间格局及影响机制分析[J]. 地理科学, 2019, 39(11): 1702-1710.
[9]	赵美风, 汪德根. 北京城区流动人口扩散格局及驱动机制[J]. 地理科学, 2019, 39(11): 1729-1738.
[10]	朱竑,张博,马凌. 新型城镇化背景下中国流动人口研究：议题与展望[J]. 地理科学, 2019, 39(1): 1-11.
[11]	田明. 地方因素对流动人口城市融入的影响研究[J]. 地理科学, 2017, 37(7): 997-1005.
[12]	闫东升, 杨槿. 中国县域市民化需求人口分布时空格局演变[J]. 地理科学, 2017, 37(10): 1486-1496.
[13]	徐姗, 邓羽, 王开泳. 中国流动人口的省际迁移模式、集疏格局与市民化路径[J]. 地理科学, 2016, 36(11): 1637-1642.
[14]	林李月, 朱宇. 流动人口城市间流动的时空结构特征及其性别差异：基于福建省的实证研究[J]. 地理科学, 2015, 35(6): 725-732.
[15]	韩增林, 杜鹏, 王利, 于洋, 赵东霞, 丛迎雪, 任启龙. 区域公共服务设施优化配置方法研究——以大连市甘井子区兴华街道小学配置为例[J]. 地理科学, 2014, 34(7): 803-809.