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An estimate of rural exodus in China using location-aware data
Ma, Ting1,2,3; Lu, Rui1,2; Zhao, Na1,2; Shaw, Shih-Lung4
2018-07-31
Source PublicationPLOS ONE
ISSN1932-6203
Volume13Issue:7Pages:14
Corresponding AuthorMa, Ting(mting@lreis.ac.cn) ; Shaw, Shih-Lung(sshaw@utk.edu)
AbstractThe rapidly developing economy and growing urbanization in China have created the largest rural-to-urban migration in human history. Thus, a comprehensive understanding of the pattern of rural flight and its prevalence and magnitude over the country is increasingly important for sociological and political concerns. Because of the limited availability of internal migration data, which was derived previously from the decennial population census and small-scale household survey, we could not obtain timely and consistent observations for rural depopulation dynamics across the whole country. In this study, we use aggregate location-aware data collected from mobile location requests in the largest Chinese social media platform during the period of the 2016 Chinese New Year to conduct a nationwide estimate of rural depopulation in China (in terms of the grid cell-level prevalence and the magnitude) based on the world's largest travel period. Our results suggest a widespread rural flight likely occurring in 60.2% (36.5%-81.0%, lower-upper estimate) of rural lands at the grid cell-level and covering similar to 1.55 (1.48-1.94) million villages and hamlets, most of China's rural settlement sites. Moreover, we find clear regional variations in the magnitude and spatial extent of the estimated rural depopulation. These variations are likely connected to regional differences in the size of the source population, largely because of the nationwide prevalence of rural flight in today's China. Our estimate can provide insights into related investigations of China's rural depopulation and the potential of increasingly available crowd-sourced data for demographic studies.
DOI10.1371/journal.pone.0201458
WOS KeywordURBAN MIGRATION ; POPULATION ; PREDICTABILITY ; URBANIZATION
Indexed BySCI
Language英语
Funding ProjectNational Natural Science Foundation of China[41421001] ; National Natural Science Foundation of China[41771418] ; Key Research Program of Frontier Science, Chinese Academy of Sciences[QYZDY-SSW-DQC007] ; National Science and Technology Key Project[2016YFB0502301]
Funding OrganizationNational Natural Science Foundation of China ; Key Research Program of Frontier Science, Chinese Academy of Sciences ; National Science and Technology Key Project
WOS Research AreaScience & Technology - Other Topics
WOS SubjectMultidisciplinary Sciences
WOS IDWOS:000440300500036
PublisherPUBLIC LIBRARY SCIENCE
Citation statistics
Cited Times:3[WOS]   [WOS Record]     [Related Records in WOS]
Document Type期刊论文
Identifierhttp://ir.igsnrr.ac.cn/handle/311030/54462
Collection中国科学院地理科学与资源研究所
Corresponding AuthorMa, Ting; Shaw, Shih-Lung
Affiliation1.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, State Key Lab Resources & Environm Informat Syst, Beijing, Peoples R China
2.Univ Chinese Acad Sci, Beijing, Peoples R China
3.Jiangsu Ctr Collaborat Innovat Geog Informat Reso, Nanjing, Jiangsu, Peoples R China
4.Univ Tennessee, Dept Geog, Knoxville, TN 37996 USA
Recommended Citation
GB/T 7714
Ma, Ting,Lu, Rui,Zhao, Na,et al. An estimate of rural exodus in China using location-aware data[J]. PLOS ONE,2018,13(7):14.
APA Ma, Ting,Lu, Rui,Zhao, Na,&Shaw, Shih-Lung.(2018).An estimate of rural exodus in China using location-aware data.PLOS ONE,13(7),14.
MLA Ma, Ting,et al."An estimate of rural exodus in China using location-aware data".PLOS ONE 13.7(2018):14.
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