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Systemic interventions in regional innovation systems: entrepreneurship, knowledge accumulation and regional innovation

机译:区域创新系统的系统干预:企业家精神,知识积累和区域创新

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摘要

The paper employs a regional innovation system concept and divides system failures into three categories: institutional infrastructure, organizational landscape and structural connectedness. To analyze the economic effects of systemic interventions, it employs the VISIBLE model, which allows ex-ante policy experiments to be conducted in a virtual simulation environment. First, the findings show that regional learning and knowledge exchange are accompanied by pronounced non-linearities and combined learning strategies generate highest regional returns. Second, systemic interventions, originally designed to stimulate qualitatively different types of entrepreneurial entries, show - against the backdrop of different regional learning regimes - rather ambiguous effects for both the target firms and the incumbent firms. Finally, it can be seen that interventions designed to affect individual linking behaviour of entrepreneurial firms are effective and robust even for different learning regimes.
机译:本文采用了区域创新系统的概念,并将系统故障分为三类:机构基础设施,组织格局和结构联系。为了分析系统干预的经济效果,它采用了可视模型,该模型允许在虚拟仿真环境中进行事前政策实验。首先,研究结果表明,区域学习和知识交流伴随着明显的非线性,而组合的学习策略产生了最高的区域回报。第二,系统性干预最初旨在刺激质量上不同类型的创业者进入,在不同的区域学习制度的背景下,对目标公司和现有公司的影响都相当模糊。最后,可以看出,即使对于不同的学习制度,旨在影响企业家公司的个体联系行为的干预措施也是有效而有效的。

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