The Interregional Transfer of Cluster Enterprises in China From the Perspective of Network Embedding

Bibliographic Data

ID3249151
AuthorsYong Zhou (0000-0003-0363-372X, Xi'an University of Architecture and Technology), Miaomiao Li (0000-0001-5619-3364, Xi'an University of Architecture and Technology, corresponding author), Dan Wang (0000-0001-8174-0024, Xi'an University of Architecture and Technology)
Year2020
Volume10
Issue4
Publication date2020-10-01
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenueSAGE Open (JOURNAL)
Journal identifiersISSN: 2158-2440 • E-ISSN: 2158-2440
PublisherSAGE Publications Inc (PUBLISHER)
DOI10.1177/2158244020983309
OpenAlexW3116149362
LanguageEN
Citations received1
References cited23

Based on the network embedding theory, cluster enterprises embedded in a social network can be divided into those based either on relational or structural embeddings. We use different indicators to measure how the characteristics of embeddedness in networks affect the interregional industry transfer stickiness and choice of transfer mode in China. We measure an enterprise's network and structure characteristics, and adopt a multiple linear regression using survey data to test the hypotheses. The results indicate that the greater the relationship strength and relationship stability, the stronger the transfer stickiness and the more inclined enterprises are to choosing the partial transfer mode. Similarly, the greater the network density and network centrality, the stronger the transfer stickiness and the more inclined enterprises are to choosing partial transfers. Conversely, the higher the network heterogeneity, the weaker the transfer stickiness, meaning that enterprises tend to choose the overall transfer mode

Business · Centrality · Embeddedness · Sociology · Statistics · Business Strategy and Innovation · Complex Network Analysis Techniques · Computer Science · Mathematics · Psychology · Social Capital and Networks · Artificial Intelligence