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Understanding China’s urban system evolution from web search index data
The spatial inequilibrium phenomenon is apparent during China’s rapid urbanization in the past four decades. As the fertility rate decreases and the population ages, this phenomenon will become more critical. To accurately forecast the future economic development of China, it is necessary to quantif...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer Berlin Heidelberg
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8959800/ https://www.ncbi.nlm.nih.gov/pubmed/35371907 http://dx.doi.org/10.1140/epjds/s13688-022-00332-y |
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author | Guo, Hao Zhang, Weiyu Du, Haode Kang, Chaogui Liu, Yu |
author_facet | Guo, Hao Zhang, Weiyu Du, Haode Kang, Chaogui Liu, Yu |
author_sort | Guo, Hao |
collection | PubMed |
description | The spatial inequilibrium phenomenon is apparent during China’s rapid urbanization in the past four decades. As the fertility rate decreases and the population ages, this phenomenon will become more critical. To accurately forecast the future economic development of China, it is necessary to quantify the attractiveness of individual cities. This study introduces web search data to quantify the attractiveness of cities with a fine spatial scale (prefecture-level city) and relatively long-term span (nine years). Results confirm that the estimated city attractiveness can unravel a city’s capability to attract labor force, and suggest that tourism and health care functions of a city have a positive effect to the city’s attractiveness. Additionally, China’s north-south gap in economic development has been widened in the past decade, and 11 cities with nationwide influence have prosperous development potential. This study provides a new lens for predicting China’s economic development, as well as its spatial patterns. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1140/epjds/s13688-022-00332-y. |
format | Online Article Text |
id | pubmed-8959800 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Springer Berlin Heidelberg |
record_format | MEDLINE/PubMed |
spelling | pubmed-89598002022-03-29 Understanding China’s urban system evolution from web search index data Guo, Hao Zhang, Weiyu Du, Haode Kang, Chaogui Liu, Yu EPJ Data Sci Regular Article The spatial inequilibrium phenomenon is apparent during China’s rapid urbanization in the past four decades. As the fertility rate decreases and the population ages, this phenomenon will become more critical. To accurately forecast the future economic development of China, it is necessary to quantify the attractiveness of individual cities. This study introduces web search data to quantify the attractiveness of cities with a fine spatial scale (prefecture-level city) and relatively long-term span (nine years). Results confirm that the estimated city attractiveness can unravel a city’s capability to attract labor force, and suggest that tourism and health care functions of a city have a positive effect to the city’s attractiveness. Additionally, China’s north-south gap in economic development has been widened in the past decade, and 11 cities with nationwide influence have prosperous development potential. This study provides a new lens for predicting China’s economic development, as well as its spatial patterns. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1140/epjds/s13688-022-00332-y. Springer Berlin Heidelberg 2022-03-28 2022 /pmc/articles/PMC8959800/ /pubmed/35371907 http://dx.doi.org/10.1140/epjds/s13688-022-00332-y Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Regular Article Guo, Hao Zhang, Weiyu Du, Haode Kang, Chaogui Liu, Yu Understanding China’s urban system evolution from web search index data |
title | Understanding China’s urban system evolution from web search index data |
title_full | Understanding China’s urban system evolution from web search index data |
title_fullStr | Understanding China’s urban system evolution from web search index data |
title_full_unstemmed | Understanding China’s urban system evolution from web search index data |
title_short | Understanding China’s urban system evolution from web search index data |
title_sort | understanding china’s urban system evolution from web search index data |
topic | Regular Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8959800/ https://www.ncbi.nlm.nih.gov/pubmed/35371907 http://dx.doi.org/10.1140/epjds/s13688-022-00332-y |
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