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Spatial distribution of job opportunities in China: evidence from the opening of the high-speed rail


Shi, W and Lin, K-C and McLaughlin, H and Qi, G and Jin, M, Spatial distribution of job opportunities in China: evidence from the opening of the high-speed rail, Transportation Research. Part A, 133 pp. 138-147. ISSN 0965-8564 (2020) [Refereed Article]

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Copyright 2020 Elsevier Ltd.

DOI: doi:10.1016/j.tra.2020.01.006


The provision of sufficient job opportunities has traditionally been a primary objective for both local and central governments. In response to this concern, we investigate spatial dependence of job opportunities among 30 Chinese provincial capital cities (PCCs) from 2002 to 2016, giving special attention to the spatial spillovers of the opening of the high-speed rail (HSR). Using appropriate spatial panel data models, our findings suggest the presence of significant spatial autocorrelation of job opportunities among PCCs. Whilst the HSR has been found to increase job opportunities at the national level, which, however, is not confirmed at the regional level. The spatial spillover effects of the HSR are significant and positive only in the eastern/northeastern region. These findings can help the central government to more fully understand spatial dependence of job opportunities, better plan future HSR networks, and efficiently allocate transportation resources, encouraging cross-regional collaboration to promote regional employment.

Item Details

Item Type:Refereed Article
Keywords:job opportunities, high-speed rail, spatial spillovers, spatial panel data models
Research Division:Commerce, Management, Tourism and Services
Research Group:Transportation, logistics and supply chains
Research Field:Road transportation and freight services
Objective Division:Transport
Objective Group:Water transport
Objective Field:Coastal sea freight transport
UTAS Author:Shi, W (Dr Wenming Shi)
ID Code:137109
Year Published:2020
Web of Science® Times Cited:16
Deposited By:Maritime and Logistics Management
Deposited On:2020-01-31
Last Modified:2020-04-30

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