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首页> 外文期刊>The journal of technology transfer >Analysing the effects of cluster policy: What can we learn from the German leading-edge cluster competition?
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Analysing the effects of cluster policy: What can we learn from the German leading-edge cluster competition?

机译：分析集群政策的影响：我们可以从德国领先的集群竞争中学到什么？

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摘要

Building on experiences collected in the course of an evaluation of a German cluster policy programme, the Leading-Edge Cluster Competition (LECC, evaluation 2008-2014), this paper scrutinizes central problems that arise in the evaluation of the impacts of large-scale innovation policy programmes. We find that our relatively modest knowledge with regard to the actual effects and impact patterns of comparable programmes is not necessarily due to methodological weaknesses of the evaluation studies, but rather to inherent structural programme characteristics. The present state-of-the-art evaluation methodology does not sufficiently allow us to take into consideration these characteristics. Challenges in the evaluation of technology programs relate closely to different facets of complexity. Our analysis shows that three aspects of programme effects deserve more attention in evaluation research: Emergence and non-linearity, uncertainty, and time patterns of the observed effects. Using the example of the LECC, our paper demonstrates how evaluators' work is affected by these phenomena. The results lead to the question of whether there are methodological alternatives that are suitable for future evaluations of complex innovation programmes.
机译：基于对德国集群政策计划的评估（前沿集群竞争）（LECC，2008-2014年评估）过程中积累的经验，本文详细研究了评估大规模创新影响时出现的核心问题政策方案。我们发现，我们对可比计划的实际效果和影响模式的了解相对较少，这不一定是由于评估研究的方法论缺陷，而是由于固有的结构性计划特征。当前的最新评估方法不足以使我们考虑这些特征。技术计划评估中的挑战与复杂性的不同方面密切相关。我们的分析表明，程序效果的三个方面在评估研究中应引起更多关注：出现效果和非线性，不确定性和观察到的效果的时间模式。我们以LECC为例，说明了这些现象如何影响评估人员的工作。结果导致了一个问题，即是否存在适合将来对复杂创新计划进行评估的方法替代方案。

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