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

Datos Bibliográficos

ID3249151
AutoresYong 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, autor de correspondencia), Dan Wang (0000-0001-8174-0024, Xi'an University of Architecture and Technology)
Año2020
Volumen10
Número4
Fecha de publicación2020-10-01
Peer ReviewedSí
Open AccessSí
TipoARTICLE
RevistaSAGE Open (JOURNAL)
Identificadores de la revistaISSN: 2158-2440 • E-ISSN: 2158-2440
EditorialSAGE Publications Inc (PUBLISHER)
DOI10.1177/2158244020983309
OpenAlexW3116149362
IdiomaEN
Citas recibidas1
Referencias citadas23

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