Proceedings of the 2016 International Conference on Modern Management, Education Technology, and Social Science (MMETSS 2016)

Cross - shareholding Analysis of China 's Listed Companies by Sector based on Social Network Perspective

Authors
Huifang Fei, Canzhong Yao
Corresponding Author
Huifang Fei
Available Online February 2017.
DOI
https://doi.org/10.2991/mmetss-16.2017.29How to use a DOI?
Keywords
Cross-shareholdings, social network, QAP analysis, Performance Impact Analysis.
Abstract
Taking the cross shareholdings(CSH) A-share firms from Shanghai and Shenzhen stock markets from 2006 to 2014 as research samples, this study constructs corporate network and industrial network of CSH from the perspective of social network. QAP analysis is used to explore the influence factors of industry shareholding relationship,and Multi-regression analysis is used to explore the influence of network location index on different industry performance. The results show that CSH of industrial relationship tends to occur among industries having weak correlation, similar industrial profitability and operating capacity. CSH relationship is irrelevant to whether these enterprises are in the same industries or not. The network location index only has significant influence on the performance of the public utility industry and the information technology industry with degree centrality and betweenness centrality having a significant positive effect for the former and betweenness centrality having a significant negative impact for the latter.
Open Access
This is an open access article distributed under the CC BY-NC license.

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Cite this article

TY  - CONF
AU  - Huifang Fei
AU  - Canzhong Yao
PY  - 2017/02
DA  - 2017/02
TI  - Cross - shareholding Analysis of China 's Listed Companies by Sector based on Social Network Perspective
BT  - Proceedings of the 2016 International Conference on Modern Management, Education Technology, and Social Science (MMETSS 2016)
PB  - Atlantis Press
SN  - 2352-5398
UR  - https://doi.org/10.2991/mmetss-16.2017.29
DO  - https://doi.org/10.2991/mmetss-16.2017.29
ID  - Fei2017/02
ER  -