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Parameters of regional cooperative behavior in the German biotech industry: a quantitative social network analysis

机译:德国生物技术产业区域合作行为参数:定量社会网络分析

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摘要

We analyse the determinants of network formation in German's biotechnology sector combining elements from social network analysis (SNA) and a regression framework for count data. For the latter we adopt a regional innovation system perspective, we estimate the number of total and interregional R&D collaborations of local biotech actors in the year 2005 as a function of region's innovation and economic context as well as a set of policy related variables. The inclusion of policy instruments in the regression approach allows us to answer the question to what extent R&D-based cluster policies such as the well-known BioRegio contest (BRC) shape the formation of the German biotech network. We use the region's degree centrality, a standard measure in SNA, as outcome variable. Our results show that policy indicators such as the volume of public funding for collaborative R&D are positively correlated with the region's total and interregional number of R&D cooperations. However, besides this direct funding effect no further advantages such as image effects etc. are found. Regarding the role of factors defining the regional innovation system, we observe that the number of biotech patent applications, the share of regional hightech start-ups and the population density are positively linked to the region's degree centrality.
机译:我们结合社交网络分析(SNA)的元素和计数数据的回归框架,分析了德国生物技术行业网络形成的决定因素。对于后者,我们采用区域创新系统的观点,我们估计了2005年当地生物技术参与者的全部和区域间R&D合作数量,这是区域创新和经济背景以及一系列与政策相关的变量的函数。在回归方法中包含政策工具,使我们能够回答以下问题:基于研发的集群政策(例如著名的BioRegio竞赛(BRC))在多大程度上影响了德国生物技术网络的形成。我们使用SNA中的标准量度作为结果变量作为区域变量的中心度。我们的结果表明,诸如合作研发的公共资金数量之类的政策指标与该地区的研发合作总数和区域间数量呈正相关。但是,除了这种直接的资金效应之外,没有发现其他优点,例如图像效果等。关于定义区域创新体系的因素的作用,我们观察到生物技术专利申请的数量,区域高科技初创企业所占的份额以及人口密度与该区域的学位中心呈正相关。

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  • 作者

    Mitze Timo; Strotebeck Falk;

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  • 年度 2012
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  • 原文格式 PDF
  • 正文语种 eng
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