The Dynamic Influence of High-Speed Rail on the Spatial Structure of Economic Networks and the Underlying Mechanisms in Northeastern China

Drawing on 185 cities in the northeastern region of China, this paper improves the radiation model by incorporating the accessibility index to characterize the asymmetric process of economic linkages before HSR in 2007 and after HSR in 2016. Then social network analysis is utilized to examine the im...

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Autores principales:	Sanwei He, Lei Mei, Lei Wang
Formato:	article
Lenguaje:	EN
Publicado:	MDPI AG 2021
Materias:	high-speed rail the radiation model nodal centrality spatial econometrics Geography (General) G1-922
Acceso en línea:	https://doaj.org/article/381ac65e58444405895ef21e9fcd3e32
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id	oai:doaj.org-article:381ac65e58444405895ef21e9fcd3e32
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spelling	oai:doaj.org-article:381ac65e58444405895ef21e9fcd3e322021-11-25T17:53:10ZThe Dynamic Influence of High-Speed Rail on the Spatial Structure of Economic Networks and the Underlying Mechanisms in Northeastern China10.3390/ijgi101107762220-9964https://doaj.org/article/381ac65e58444405895ef21e9fcd3e322021-11-01T00:00:00Zhttps://www.mdpi.com/2220-9964/10/11/776https://doaj.org/toc/2220-9964Drawing on 185 cities in the northeastern region of China, this paper improves the radiation model by incorporating the accessibility index to characterize the asymmetric process of economic linkages before HSR in 2007 and after HSR in 2016. Then social network analysis is utilized to examine the impact of HSR on the spatial structure of economic networks, including nodal centrality and community structures. Finally, spatial econometric models are employed to explore the driving factors of nodal centrality in economic networks and some policy implications are proposed. The major findings of this paper are the following. First, HSR services can weaken the core-peripheral inequality of economic linkages and a corridor economy is evident in northeastern China. Second, HSR services have significantly improved the out-degree centrality of prefecture-level cities but have slightly decreased the in-degree centrality of Liaoning. Third, there was a slight decline of coherence in the economic network after the construction of HSR and the within-modular connections were strengthened by HSR. Four, the spatial error model (SEM) is more desirable for explaining the distribution of in-degree centrality. GDP, fixed asset investment, education, population, and fiscal expenditure are important contributors to the in-degree centrality in economic networks. These findings give significant insights into city system planning, integrated transport and land use development, formulating regional poles and the coordinated development across administrative boundaries in northeastern China.Sanwei HeLei MeiLei WangMDPI AGarticlehigh-speed railthe radiation modelnodal centralityspatial econometricsGeography (General)G1-922ENISPRS International Journal of Geo-Information, Vol 10, Iss 776, p 776 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	high-speed rail the radiation model nodal centrality spatial econometrics Geography (General) G1-922
spellingShingle	high-speed rail the radiation model nodal centrality spatial econometrics Geography (General) G1-922 Sanwei He Lei Mei Lei Wang The Dynamic Influence of High-Speed Rail on the Spatial Structure of Economic Networks and the Underlying Mechanisms in Northeastern China
description	Drawing on 185 cities in the northeastern region of China, this paper improves the radiation model by incorporating the accessibility index to characterize the asymmetric process of economic linkages before HSR in 2007 and after HSR in 2016. Then social network analysis is utilized to examine the impact of HSR on the spatial structure of economic networks, including nodal centrality and community structures. Finally, spatial econometric models are employed to explore the driving factors of nodal centrality in economic networks and some policy implications are proposed. The major findings of this paper are the following. First, HSR services can weaken the core-peripheral inequality of economic linkages and a corridor economy is evident in northeastern China. Second, HSR services have significantly improved the out-degree centrality of prefecture-level cities but have slightly decreased the in-degree centrality of Liaoning. Third, there was a slight decline of coherence in the economic network after the construction of HSR and the within-modular connections were strengthened by HSR. Four, the spatial error model (SEM) is more desirable for explaining the distribution of in-degree centrality. GDP, fixed asset investment, education, population, and fiscal expenditure are important contributors to the in-degree centrality in economic networks. These findings give significant insights into city system planning, integrated transport and land use development, formulating regional poles and the coordinated development across administrative boundaries in northeastern China.
format	article
author	Sanwei He Lei Mei Lei Wang
author_facet	Sanwei He Lei Mei Lei Wang
author_sort	Sanwei He
title	The Dynamic Influence of High-Speed Rail on the Spatial Structure of Economic Networks and the Underlying Mechanisms in Northeastern China
title_short	The Dynamic Influence of High-Speed Rail on the Spatial Structure of Economic Networks and the Underlying Mechanisms in Northeastern China
title_full	The Dynamic Influence of High-Speed Rail on the Spatial Structure of Economic Networks and the Underlying Mechanisms in Northeastern China
title_fullStr	The Dynamic Influence of High-Speed Rail on the Spatial Structure of Economic Networks and the Underlying Mechanisms in Northeastern China
title_full_unstemmed	The Dynamic Influence of High-Speed Rail on the Spatial Structure of Economic Networks and the Underlying Mechanisms in Northeastern China
title_sort	dynamic influence of high-speed rail on the spatial structure of economic networks and the underlying mechanisms in northeastern china
publisher	MDPI AG
publishDate	2021
url	https://doaj.org/article/381ac65e58444405895ef21e9fcd3e32
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The Dynamic Influence of High-Speed Rail on the Spatial Structure of Economic Networks and the Underlying Mechanisms in Northeastern China

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