Knowledge Sources and Manufacturing Enterprise’s Technological Innovation

IF 2.9 2区 数学 Q1 ECONOMICS Journal of Business & Economic Statistics Pub Date : 2023-08-22 DOI:10.58567/jes01020006
Shuang Yao, Ying Li, Xin Zhao
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Abstract

This paper uses the questionnaire data of the World Banks China Enterprise Survey 2012 to establish a Logit model to empirically study the relationship between knowledge sources and technological innovation in Chinese manufacturing enterprises. The results show that although internal and external knowledge has a positive effect on enterprise technological innovation in general, there are significant differences when taking the types of innovation, subject characteristic and the types of cooperation into consideration. From the current development stage of China's manufacturing enterprises, external knowledge sources, external enterprise knowledge subjects, and employee knowledge have a more positive effect on technological innovation, which also shows that the role of technical employees on technological innovation has a significant threshold effect, and only after a certain degree of accumulation can internal technical employees have a more significant positive effect on technological innovation.

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知识源与制造业企业技术创新
本文利用世界银行《2012年中国企业调查》的问卷数据,建立Logit模型,实证研究中国制造业企业知识来源与技术创新的关系。研究结果表明,虽然内部知识和外部知识总体上对企业技术创新具有正向影响,但在考虑创新类型、主体特征和合作类型的情况下,内部知识和外部知识对企业技术创新具有显著的正向影响。从中国制造企业目前的发展阶段来看,外部知识来源、外部企业知识主体和员工知识对技术创新的正向作用更大,这也说明技术员工对技术创新的作用具有显著的门槛效应,内部技术员工只有在积累到一定程度之后,才能对技术创新产生更显著的正向作用。
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来源期刊
Journal of Business & Economic Statistics
Journal of Business & Economic Statistics 数学-统计学与概率论
CiteScore
5.00
自引率
6.70%
发文量
98
审稿时长
>12 weeks
期刊介绍: The Journal of Business and Economic Statistics (JBES) publishes a range of articles, primarily applied statistical analyses of microeconomic, macroeconomic, forecasting, business, and finance related topics. More general papers in statistics, econometrics, computation, simulation, or graphics are also appropriate if they are immediately applicable to the journal''s general topics of interest. Articles published in JBES contain significant results, high-quality methodological content, excellent exposition, and usually include a substantive empirical application.
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