Proceedings of the 3rd International Academic Conference on Blockchain, Information Technology and Smart Finance (ICBIS 2024)

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An Empirical Study of Relationship Networks of Listed Forestry Enterprises

Authors
Xu Wang1, Lei Gao2, Jielong Huang3, Liqun Wang1, *
1School of Economics and Management, Beijing Forestry University, Beijing, 100083, China
2School of Economics and Management, Yanshan University, Qinhuangdao, 066004, China
3School of Internet Economics and Business, Fujian University of Technology, Fuzhou, 350000, China
*Corresponding author. Email: wlq@bjfu.edu.cn
Corresponding Author
Liqun Wang
Available Online 7 May 2024.
DOI
10.2991/978-94-6463-419-8_2How to use a DOI?
Keywords
Listed Forestry Companies; enterprise relationship network; structural characteristics
Abstract

Based on the data of the a-share national listed forestry enterprises in 2023, this paper uses the social network-analysis method to study the network structure characteristics of the national listed forestry enterprises and the role positioning and functional differences of the internal member enterprises from the perspective of network relations. The results show that Chinese listed forestry enterprises have formed a relatively close cross-regional inter-enterprise relationship network, and two cohesive regions have been formed at the same time, and there are some differences in the tightness of the ties among forestry enterprises with different main businesses in the relationship network. The results of this paper are intended to provide a reference basis for the upgrading of forestry industry chain and the coordinated development of forestry industry among regions under the “double-loop” pattern.

Copyright
© 2024 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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Volume Title
Proceedings of the 3rd International Academic Conference on Blockchain, Information Technology and Smart Finance (ICBIS 2024)
Series
Atlantis Highlights in Computer Sciences
Publication Date
7 May 2024
ISBN
10.2991/978-94-6463-419-8_2
ISSN
2589-4900
DOI
10.2991/978-94-6463-419-8_2How to use a DOI?
Copyright
© 2024 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Cite this article

risenwbib
TY  - CONF
AU  - Xu Wang
AU  - Lei Gao
AU  - Jielong Huang
AU  - Liqun Wang
PY  - 2024
DA  - 2024/05/07
TI  - An Empirical Study of Relationship Networks of Listed Forestry Enterprises
BT  - Proceedings of the 3rd International Academic Conference on Blockchain, Information Technology and Smart Finance (ICBIS 2024)
PB  - Atlantis Press
SP  - 4
EP  - 10
SN  - 2589-4900
UR  - https://doi.org/10.2991/978-94-6463-419-8_2
DO  - 10.2991/978-94-6463-419-8_2
ID  - Wang2024
ER  -