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Article: Investigating China’s Mid-Yangtze River economic growth region using a spatial network growth model
Title | Investigating China’s Mid-Yangtze River economic growth region using a spatial network growth model |
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Authors | |
Keywords | China economic transition city region growth network capital spatial effects |
Issue Date | 2020 |
Publisher | Sage Publications Ltd. The Journal's web site is located at http://usj.sagepub.com/ |
Citation | Urban Studies, 2020, v. 57 n. 14, p. 2973-2993 How to Cite? |
Abstract | China’s Mid-Yangtze River city region (MYR) has been designated as a national strategic growth region intended to reverse the slow-down in economic transition. However, there has been a lack of attention to the internal spatial organisation of the region’s growth capacity associated with its inter-city relations. This article combines an urban network approach and a spatial econometric framework to not only examine the local contribution to growth of MYR cities’ indigenous factors, cross-territorial flows and positions in the regional capital network, but also to estimate their spatial spillovers. The analysis sheds light on the interplay between spatial proximity and network capital in the regional growth process. Recent growth is found to be significantly influenced by indigenous capital stock, labour cost and technological advances, by commodity and self-investment flows, and by ‘authority’ and ‘hub’ network capital, associated with coexisting endogenous and exogenous spillovers. The findings infer that institutional capacity in organising endowment mobilities will be important for policy to promote coordinated development. |
Persistent Identifier | http://hdl.handle.net/10722/284111 |
ISSN | 2023 Impact Factor: 4.2 2023 SCImago Journal Rankings: 1.806 |
ISI Accession Number ID |
DC Field | Value | Language |
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dc.contributor.author | Shi, S | - |
dc.contributor.author | Pain, K | - |
dc.date.accessioned | 2020-07-20T05:56:11Z | - |
dc.date.available | 2020-07-20T05:56:11Z | - |
dc.date.issued | 2020 | - |
dc.identifier.citation | Urban Studies, 2020, v. 57 n. 14, p. 2973-2993 | - |
dc.identifier.issn | 0042-0980 | - |
dc.identifier.uri | http://hdl.handle.net/10722/284111 | - |
dc.description.abstract | China’s Mid-Yangtze River city region (MYR) has been designated as a national strategic growth region intended to reverse the slow-down in economic transition. However, there has been a lack of attention to the internal spatial organisation of the region’s growth capacity associated with its inter-city relations. This article combines an urban network approach and a spatial econometric framework to not only examine the local contribution to growth of MYR cities’ indigenous factors, cross-territorial flows and positions in the regional capital network, but also to estimate their spatial spillovers. The analysis sheds light on the interplay between spatial proximity and network capital in the regional growth process. Recent growth is found to be significantly influenced by indigenous capital stock, labour cost and technological advances, by commodity and self-investment flows, and by ‘authority’ and ‘hub’ network capital, associated with coexisting endogenous and exogenous spillovers. The findings infer that institutional capacity in organising endowment mobilities will be important for policy to promote coordinated development. | - |
dc.language | eng | - |
dc.publisher | Sage Publications Ltd. The Journal's web site is located at http://usj.sagepub.com/ | - |
dc.relation.ispartof | Urban Studies | - |
dc.rights | Shuai Shi, Kathy Pain, Investigating China’s Mid-Yangtze River economic growth region using a spatial network growth model, Urban Studies vol. 57, issue 14, pp. 2973-2993. Copyright © 2020 Urban Studies Journal Limited. DOI: 10.1177/0042098019894232. | - |
dc.subject | China economic transition | - |
dc.subject | city region growth | - |
dc.subject | network capital | - |
dc.subject | spatial effects | - |
dc.title | Investigating China’s Mid-Yangtze River economic growth region using a spatial network growth model | - |
dc.type | Article | - |
dc.identifier.email | Shi, S: alexshi@hku.hk | - |
dc.description.nature | postprint | - |
dc.identifier.doi | 10.1177/0042098019894232 | - |
dc.identifier.scopus | eid_2-s2.0-85078719031 | - |
dc.identifier.hkuros | 310868 | - |
dc.identifier.volume | 57 | - |
dc.identifier.issue | 14 | - |
dc.identifier.spage | 2973 | - |
dc.identifier.epage | 2993 | - |
dc.identifier.isi | WOS:000510342400001 | - |
dc.publisher.place | United Kingdom | - |
dc.identifier.issnl | 0042-0980 | - |