Productivity Effects of Inventor Mobility in Agglomerations and Teams

聚集和团队中发明者流动性对生产力的影响

• 批准号: 329144242
• 负责人: Dr. Fabian Gäßler
• 金额: --
• 依托单位: Max-Planck-Institut für Innovation und Wettbewerb
• 依托单位国家: 德国
• 项目类别: Research Grants
• 财政年份: 2016
• 资助国家: 德国
• 起止时间: 2015-12-31 至 2019-12-31
• 项目状态: 已结题
• 来源: https://gepris.dfg.de/gepris/projekt/329144242?language=en
• 关键词: Productivity; Effects; Inventor; Mobility; Agglomerations

The main goal of the proposed project is to contribute to the understanding of knowledge production by inventors in either teams or (industrial) agglomerations. Towards this objective, our main focus will be on the role of inventor mobility via the labor market. According to the literature, the latter is a prominent mechanism to transfer knowledge and a contributor to successful knowledge generation. In the first part of the project we analyse the effects of spatial mobility on inventive productivity in the context of agglomerations. The results will provide micro level evidence how knowledge production of inventors benefits from an environment of agglomeration. In the second part, we address the dynamics of inventor teams in form of individual mobility or the co mobility of inventor teams. By using changes in team composition, we want to explain the role of team specific capital for inventive performance. In our research we aim at identifying the causal effects of mobility on knowledge production, as measured by patent applications. Our project is also the first to study these research questions in the context of the German labor market and innovation system. So far, contributions to research on the proposed topics have been hardly possible due to the lack of adequate inventor micro data. Therefore, the generation of a novel linked inventor biography dataset on German inventors, combining patent register data with social security data by means of record linkage, form the initial part of our project. The generation of this data will be based on and exploit prior experience and methodological skills of the applicants and the project partners with respect to patent register and social security data. The resulting linked employer-employee dataset includes detailed information from patent registers as well as labor market biographies originating from social security data. This database enables us to apply state-of-the-art micro econometric methods and to implement alternative strategies to identify the causal relationships of interest. With the conclusion of our research we commit to contribute our research data to the scientific community by supplying the dataset via the research data centre of the Federal Employment Agency at IAB.

所提议的项目的主要目标是促进对团队或（工业）聚集的发明家的知识生产的理解。为了实现这一目标，我们的主要重点将放在通过劳动力市场的发明家流动的作用上。根据文献，后者是知识转移的重要机制，也是成功知识生成的贡献者。在项目的第一部分，我们分析了在集群背景下空间流动性对创新生产力的影响。研究结果将为发明者的知识生产如何受益于集聚环境提供微观层面的证据。在第二部分中，我们以个人移动性或发明人团队的共同移动性的形式解决发明人团队的动态。通过使用团队组成的变化，我们想要解释团队特定资本对创新绩效的作用。在我们的研究中，我们旨在通过专利申请来确定流动性对知识生产的因果影响。我们的项目也是第一个在德国劳动力市场和创新体系的背景下研究这些研究问题的项目。到目前为止，由于缺乏足够的发明家微观数据，几乎不可能对所提出的主题进行研究。因此，通过记录链接的方式，将专利注册数据与社会保障数据结合起来，生成一个新的德国发明家链接发明家传记数据集，这是我们项目的初始部分。这些数据的生成将基于并利用申请人和项目合作伙伴在专利登记和社会保障数据方面的先前经验和方法技能。由此产生的雇主-雇员数据集包括来自专利注册的详细信息，以及来自社会保障数据的劳动力市场传记。这个数据库使我们能够应用最先进的微观计量经济学方法，并实施替代策略来确定感兴趣的因果关系。随着我们研究的结束，我们承诺通过IAB联邦就业局的研究数据中心提供数据集，将我们的研究数据贡献给科学界。