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An estimate of rural exodus in China using location-aware data

文献类型：期刊论文

作者Ma, Ting1,3,4; Lu, Rui1,3; Zhao, Na1,3; Shaw, Shih-Lung2
刊名PLOS ONE
出版日期2018-07-31
卷号13期号:7页码:14
ISSN号1932-6203
DOI10.1371/journal.pone.0201458
通讯作者Ma, Ting(mting@lreis.ac.cn) ; Shaw, Shih-Lung(sshaw@utk.edu)
英文摘要The 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.
WOS关键词URBAN MIGRATION ; POPULATION ; PREDICTABILITY ; URBANIZATION
资助项目National 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]
WOS研究方向Science & Technology - Other Topics
语种英语
WOS记录号WOS:000440300500036
出版者PUBLIC LIBRARY SCIENCE
资助机构National Natural Science Foundation of China ; Key Research Program of Frontier Science, Chinese Academy of Sciences ; National Science and Technology Key Project
源URL[http://ir.igsnrr.ac.cn/handle/311030/54461]  
专题中国科学院地理科学与资源研究所
通讯作者Ma, Ting; Shaw, Shih-Lung
作者单位1.Univ Chinese Acad Sci, Beijing, Peoples R China
2.Univ Tennessee, Dept Geog, Knoxville, TN 37996 USA
3.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, State Key Lab Resources & Environm Informat Syst, Beijing, Peoples R China
4.Jiangsu Ctr Collaborat Innovat Geog Informat Reso, Nanjing, Jiangsu, Peoples R China
推荐引用方式
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.

入库方式： OAI收割

来源：地理科学与资源研究所

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