Informal intervention, information availability and innovation efficiency in state-owned enterprises

IF 13.3 1区 管理学 Q1 BUSINESS Technological Forecasting and Social Change Pub Date : 2025-07-01 Epub Date: 2025-04-22 DOI:10.1016/j.techfore.2025.124149
Yao Wang, Nannan Yu
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Abstract

Innovation management studies have focused on improving innovation efficiency in state-owned enterprises (SOEs). Given the close relationship between government and SOEs, whether government intervention can impact firm innovation efficiency is an interesting question but underexplored. This study introduces a unique form of informal government intervention based on social connections between government leaders and firm managers and examines its impact on innovation efficiency using local SOEs innovation data during the 2008–2019 period. Our findings demonstrate that informal government intervention can enhance SOEs' innovation efficiency, mainly by improving SOEs' information availability. Moreover, the connection-based information availability has greater efficiency-enhancing impacts when the information providers (politicians) possess more external knowledge, and when the information receivers (SOE managers) belong to less technology-intensive industries. These findings illuminate how informal government intervention helps SOEs improve innovation efficiency by reducing agency risks. They also provide valuable policy insights for improving innovation efficiency in SOEs through strengthening institutional arrangements on information transparency.
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国有企业的非正式干预、信息可用性和创新效率
创新管理研究的重点是如何提高国有企业的创新效率。鉴于政府与国有企业之间的密切关系,政府干预是否会影响企业创新效率是一个有趣的问题,但尚未得到充分探讨。本研究引入了一种独特的基于政府领导与企业管理者之间社会关系的非正式政府干预形式,并利用2008-2019年期间的地方国有企业创新数据,考察了其对创新效率的影响。研究结果表明,政府非正式干预可以提高国有企业的创新效率,主要通过提高国有企业的信息可得性来实现。此外,当信息提供者(政治家)拥有更多的外部知识,以及信息接受者(国有企业管理者)所属的技术密集程度较低时,基于连接的信息可用性对效率的提升作用更大。这些发现阐明了政府非正式干预如何通过降低代理风险来帮助国有企业提高创新效率。通过加强信息透明的制度安排,为提高国有企业创新效率提供了宝贵的政策见解。
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来源期刊
CiteScore
21.30
自引率
10.80%
发文量
813
期刊介绍: Technological Forecasting and Social Change is a prominent platform for individuals engaged in the methodology and application of technological forecasting and future studies as planning tools, exploring the interconnectedness of social, environmental, and technological factors. In addition to serving as a key forum for these discussions, we offer numerous benefits for authors, including complimentary PDFs, a generous copyright policy, exclusive discounts on Elsevier publications, and more.
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