Research on the influence of chain shareholder network on enterprise green innovation

Wentao Gu and Wenyu Yuan

Journal of Business Research, 2024, vol. 172, issue C

Abstract: Green innovation plays a pivotal role in the high-quality development of social economy, but its high risk and investment can daunt enterprises. As a result, business stakeholders often use interpersonal relationships to start to overcome boundaries to obtain and disseminate green innovation information and resources. Based on the number of green innovation patent applications from 2011 to 2020, this paper constructs an undirected weighted network of enterprise chain shareholders and empirically examines the influence of centrality and structural hole characteristics of social networks on green innovation. Additionally, a heterogeneity analysis is conducted from the perspectives of core-periphery structure and CEO overseas experience. The findings are beneficial for enterprises to have achieve a more comprehensive understanding of the role of their positional advantages in the network on green innovation and provide new ideas and directions for firms to improve their green innovation level.

Keywords: Enterprise Network; Centrality; Structural hole; Core-periphery structure; Green innovation (search for similar items in EconPapers)
Date: 2024
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (3)

Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0148296323007750
Full text for ScienceDirect subscribers only

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:eee:jbrese:v:172:y:2024:i:c:s0148296323007750

DOI: 10.1016/j.jbusres.2023.114416

Access Statistics for this article

Journal of Business Research is currently edited by A. G. Woodside

More articles in Journal of Business Research from Elsevier
Bibliographic data for series maintained by Catherine Liu ().