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

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  • Yong Zhou
  • Miaomiao Li
  • Dan Wang

Abstract

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.

Suggested Citation

  • Yong Zhou & Miaomiao Li & Dan Wang, 2020. "The Interregional Transfer of Cluster Enterprises in China From the Perspective of Network Embedding," SAGE Open, , vol. 10(4), pages 21582440209, December.
    • Handle: RePEc:sae:sagope:v:10:y:2020:i:4:p:2158244020983309
    DOI: 10.1177/2158244020983309
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    Cited by:

    1. Huatao Peng & Bingbing Li & Yang Liu, 2022. "How Social Network Influences the Growth of Entrepreneurial Enterprises: Perspective on Organizational and Personal Network," SAGE Open, , vol. 12(2), pages 21582440221, June.

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