China’s commuting-based metropolitan areas
Using commuting flows derived from cellphone location data at fine geographical levels, this paper presents the first delineation of China’s commuting-based metropolitan areas (MAs). The size distribution of those MAs follows a power law, with larger MAs hosting more skilled workers, more productive firms, and offering higher wage premiums. China’s commuting-based MAs exhibit a few notable features compared to several other large countries. First, commutes are short in both time and distance and rarely cross administrative boundaries. Second, China’s MAs are small relative to the size of the country, with MA sizes highly correlated with the administrative hierarchy. The authors discuss existing policies that may have contributed to these characteristics. The authors demonstrate that commuting-based MAs differ substantively from other definitions of Chinese cities. The commuting-based MAs provide a valuable tool for researchers who need to define Chinese cities as local labor markets but are limited by the availability of official delineations.
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Availability:
- Find a library where document is available. Order URL: http://worldcat.org/issn/00941190
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Supplemental Notes:
- © 2024 Elsevier Inc. All rights are reserved, including those for text and data mining, AI training, and similar technologies. Abstract reprinted with permission of Elsevier.
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Authors:
- Chen, Ting
- Gu, Yizhen
- Zou, Ben
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0000-0001-7925-0966
- Publication Date: 2024-11
Language
- English
Media Info
- Media Type: Web
- Features: References;
- Pagination: 103715
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Serial:
- Journal of Urban Economics
- Volume: 144
- Issue Number: 0
- Publisher: Elsevier
- ISSN: 0094-1190
- Serial URL: http://www.sciencedirect.com/science/journal/00941190
Subject/Index Terms
- TRT Terms: Commuting; Data mining; Labor market; Metropolitan areas; Mobile telephones; Urbanization
- Geographic Terms: China
- Subject Areas: Data and Information Technology; Economics; Highways; Planning and Forecasting;
Filing Info
- Accession Number: 01937341
- Record Type: Publication
- Files: TRIS
- Created Date: Nov 19 2024 9:21AM