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Academia-industry collaboration, government funding and innovation efficiency in Chinese industrial enterprises

机译:学术界 - 工业合作,政府资助与中国工业企业的创新效率

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This article uses a stochastic frontier model to elaborate how academia-industry research and development collaboration and government funding influence the innovation efficiency of industrial enterprises through a panel dataset from 2009 to 2015, including 30 provinces in China. We find that the research institute-industry collaboration promotes innovation efficiency of enterprises, while university-industry collaboration is adversely associated with innovation efficiency. Government funding plays a positive role on innovation efficiency across the board. Next, we divide the sample into three clusters according to enterprises' innovation ability. In the first cluster, which has the least innovation ability, research institute-industry collaboration, university-industry collaboration and government funding have no significant effect on enterprise innovation efficiency. In the second and third clusters, university-industry collaboration exerts a negative impact on innovation efficiency but government funding improves innovation efficiency. At the same time, we investigate the interaction effects of enterprise R&D personnel and academia-industry collaboration and government funding on innovation efficiency. We find some heterogeneity in the full sample and the three sub-samples.
机译:本文采用了一个随机前沿模型,详细说明了学术界 - 行业研究和发展协作和政府资助通过2009年至2015年的小组数据集对工业企业的创新效率影响,包括中国30个省份。我们发现,研究所 - 行业合作促进了企业的创新效率,而大学行业合作与创新效率不利相关。政府资金对董事会的创新效率发挥着积极的作用。接下来,我们根据企业的创新能力将样品分成三个集群。在第一个集群中,拥有最少的创新能力,研究所 - 行业合作,大学行业的合作和政府资金对企业创新效率没有显着影响。在第二和第三集群中,大学 - 行业合作对创新效率产生负面影响,但政府资金提高了创新效率。与此同时,我们调查企业研发人员和学术界 - 行业合作与政府资助对创新效率的互动影响。我们在完整的样本和三个子样本中发现了一些异质性。

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