EconPapers    
Economics at your fingertips  
 

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

Shanshan Ye and Zhu Qian

Growth and Change, 2021, vol. 52, issue 4, 2391-2411

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 evaluate the resilience of the GPCC from 2008 to 2018 and illustrate the characteristics of the resilience. The results show that the economic network of the GPCC is strongly hierarchical with a growing trend, a declining disassortativity, and a weak cohesion. Although the network has formed a core‐peripheral structure, its hierarchy and disassortativity would result in low resilience and high vulnerability, at the risk of external shocks to the GPCC. The impact of the network structure on economic resilience is analyzed by using a regression model, which verifies the validity of applying the network theory to resilience analysis. The results suggest that improving the interactions and economic connections between core and peripheral cities will strengthen the resilience of the GPCC.

Date: 2021
References: View references in EconPapers View complete reference list from CitEc
Citations: Track citations by RSS feed

Downloads: (external link)
https://doi.org/10.1111/grow.12530

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:bla:growch:v:52:y:2021:i:4:p:2391-2411

Ordering information: This journal article can be ordered from
http://www.blackwell ... bs.asp?ref=0017-4815

Access Statistics for this article

Growth and Change is currently edited by Dan Rickman and Barney Warf

More articles in Growth and Change from Wiley Blackwell
Bibliographic data for series maintained by Wiley Content Delivery ().

 
Page updated 2022-02-19
Handle: RePEc:bla:growch:v:52:y:2021:i:4:p:2391-2411