2021
DOI: 10.1111/grow.12530
|View full text |Cite
|
Sign up to set email alerts
|

The Economic Network Resilience of the Guanzhong Plain City Cluster, China: A network analysis from the evolutionary perspective

Abstract: This article applies the network analysis to evaluate the resilience of economic network in Guanzhong Plain City Cluster (GPCC) and examine the impact of network structural properties on economic resilience, thus providing an innovative research perspective and a theoretical framework for evaluating the economic resilience of the city cluster. A modified gravity model is introduced to construct the economic network. Three structural properties of the network, hierarchy, assortativity, and cohesion, are used to… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
1
1
1

Citation Types

0
7
0

Year Published

2022
2022
2024
2024

Publication Types

Select...
9

Relationship

0
9

Authors

Journals

citations
Cited by 24 publications
(7 citation statements)
references
References 46 publications
0
7
0
Order By: Relevance
“…Te results also show that the adaptive cycle stage of urban agglomerations is consistent with its core region when the scale changes. Te research by Fang et al [62] and Ye et al [63] can confrm this result from the side. Tey pointed out that core cities play a leading role in economic development, social structure, strategic policies, and other aspects and are important growth poles leading the development of urban agglomeration.…”
Section: Scale Heterogeneity Of Urban and Regional Adaptivementioning
confidence: 82%
“…Te results also show that the adaptive cycle stage of urban agglomerations is consistent with its core region when the scale changes. Te research by Fang et al [62] and Ye et al [63] can confrm this result from the side. Tey pointed out that core cities play a leading role in economic development, social structure, strategic policies, and other aspects and are important growth poles leading the development of urban agglomeration.…”
Section: Scale Heterogeneity Of Urban and Regional Adaptivementioning
confidence: 82%
“…Within the realm of RFUN research, the key aim is to enhance urban networks' positive impact on facilitating regional cooperation in handling disruptions, while minimizing their negative effects on the spread of disturbances and chain reactions. Strategies proposed to achieve this goal often emphasize enhancing connectivity and efficiency within urban networks, as well as establishing smoother connections between central and peripheral nodes (Peng et al, 2018;Ye & Qian, 2021). In the current era of economic globalization and regional integration, collaboration among cities is not only advantageous but also an irreversible trend in urban development.…”
Section: Strategies For Improving Urban Network Resiliencementioning
confidence: 99%
“…The measure of assortativity can be reflected by the network degree correlation index (Crespo et al, 2013;Wei and Pan, 2021;Ye and Qian, 2021). The mean degree of the relevant neighborhood (V j ) for each node i can be calculated from following equations:…”
Section: Assortativitymentioning
confidence: 99%