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The threshold effect of firm size on technological innovation: examination of panel data from China

机译:公司规模对技术创新的阈值效应:中国面板数据的审查

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Purpose - The purpose of this paper is to explore the threshold effect of firm size on technological innovation using panel data from 2007 to 2012 for listed enterprises in China's manufacturing sector. Design/methodology/approach - Considering the aim of research question is to examine the nonlinear relationship, this paper utilizes the threshold regression proposed by Hansen's (2000). Findings - Based on a threshold regression model using panel data from 2007 to 2012 for listed enterprises in China's manufacturing sector, we find a series of new results. This nonlinear relationship is under the restrictions and impacts of various factors, such as industry characteristics and government subsidies. The results suggest that the threshold regression model well explains the complicated nonlinear relationship and transition process, and it can also shed light on management practice and policy. Originality/value - There are categorical arguments regarding why firm size is not as effective as before in explaining the monotonic principle of industrial innovation, especially for establishing an effective industrial policy in a particular situation. One of the important reasons is that we have begun to adopt a new perspective from the nonlinear view on the relationship between firm size and industrial innovation. In this study, we have examined the threshold effect of firm size on industrial technological innovation, which is the most representative nonlinear relationship.
机译:目的 - 本文的目的是利用2007年至2012年中国制造业的上市企业从2007年至2012年使用面板数据探讨公司规模对技术创新的阈值效应。设计/方法/方法 - 考虑研究问题的目的是检查非线性关系,本文利用汉森(2000)提出的阈值回归。调查结果 - 基于使用2007年至2012年在中国制造业的上市企业的面板数据的阈值回归模型,我们发现了一系列新结果。这种非线性关系受到各种因素的限制和影响,如行业特征和政府补贴。结果表明,阈值回归模型很好地解释了复杂的非线性关系和过渡过程,也可以阐明管理实践和政策。原创性/价值 - 有关为什么公司规模不如在解释工业创新的单调原则的情况下,有一个分类论点,特别是在特定情况下在特定情况下建立有效的产业政策。其中一个重要原因是,我们已经开始从非线性观点上采取新的视角,就坚定规模与产业创新之间的关系。在这项研究中,我们研究了公司规模对工业技术创新的阈值效应,这是最具代表性的非线性关系。

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