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

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 pol...

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Autores principales: Ma, Ting, Lu, Rui, Zhao, Na, Shaw, Shih-Lung
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6067761/
https://www.ncbi.nlm.nih.gov/pubmed/30063720
http://dx.doi.org/10.1371/journal.pone.0201458
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author Ma, Ting
Lu, Rui
Zhao, Na
Shaw, Shih-Lung
author_facet Ma, Ting
Lu, Rui
Zhao, Na
Shaw, Shih-Lung
author_sort Ma, Ting
collection PubMed
description 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 ~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.
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spelling pubmed-60677612018-08-10 An estimate of rural exodus in China using location-aware data Ma, Ting Lu, Rui Zhao, Na Shaw, Shih-Lung PLoS One Research Article 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 ~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. Public Library of Science 2018-07-31 /pmc/articles/PMC6067761/ /pubmed/30063720 http://dx.doi.org/10.1371/journal.pone.0201458 Text en © 2018 Ma et al http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Article
Ma, Ting
Lu, Rui
Zhao, Na
Shaw, Shih-Lung
An estimate of rural exodus in China using location-aware data
title An estimate of rural exodus in China using location-aware data
title_full An estimate of rural exodus in China using location-aware data
title_fullStr An estimate of rural exodus in China using location-aware data
title_full_unstemmed An estimate of rural exodus in China using location-aware data
title_short An estimate of rural exodus in China using location-aware data
title_sort estimate of rural exodus in china using location-aware data
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6067761/
https://www.ncbi.nlm.nih.gov/pubmed/30063720
http://dx.doi.org/10.1371/journal.pone.0201458
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