Interlocking directorates and firm performance: Evidence from China

IF 5.2 1区 经济学 Q1 ECONOMICS
Muzi Chen , Guangxin Guo , Difang Huang , Yan Wang , Boyao Wu
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引用次数: 0

Abstract

Using a comprehensive manually compiled dataset of Chinese A-share listed companies, we construct an interlocking directorate network to examine its influence on firm performance and investigate the underlying economic mechanisms involved. Our findings reveal that the propensity for firms to share directors increases as the interlocking directorate network exhibits rapid growth in both size and density from 2007 to 2022. Further investigation demonstrates that the network exerts a significant positive impact on the performance of firms characterized by a higher degree of interlocking directorate connectivity and those occupying a more central position within the network. To address potential endogeneity concerns, we exploit the 2013 introduction of government official director resignation policy as a plausibly exogenous shock to the interlocking directorate network and show that the departure of interlocking directors adversely affects short-term firm performance, with a more pronounced impact on non-state-owned enterprises. These results underscore the pivotal role of interlocking directors in facilitating information exchange and resource sharing.
连锁董事与公司绩效:来自中国的证据
我们利用手工编制的中国 A 股上市公司综合数据集,构建了一个董事互兼网络,以考察其对公司业绩的影响,并研究其中的潜在经济机制。我们的研究结果表明,从 2007 年到 2022 年,随着互锁董事网络在规模和密度上的快速增长,公司共享董事的倾向也随之增加。进一步的研究表明,对于互锁董事网络连接程度较高的企业和在网络中占据较中心位置的企业,该网络对其绩效产生了显著的积极影响。为了解决潜在的内生性问题,我们利用 2013 年政府官员董事辞职政策的出台作为对连锁董事网络的合理外生冲击,结果表明连锁董事的离职对企业的短期绩效产生了不利影响,对非国有企业的影响更为明显。这些结果凸显了连锁董事在促进信息交流和资源共享方面的关键作用。
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来源期刊
中国经济评论
中国经济评论 ECONOMICS-
CiteScore
10.60
自引率
4.40%
发文量
380
期刊介绍: The China Economic Review publishes original works of scholarship which add to the knowledge of the economy of China and to economies as a discipline. We seek, in particular, papers dealing with policy, performance and institutional change. Empirical papers normally use a formal model, a data set, and standard statistical techniques. Submissions are subjected to double-blind peer review.
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