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On the meaning of innovation performance: Is the synthetic indicator of the Innovation Union Scoreboard flawed?

机译:关于创新绩效的含义:是创新联盟记分牌缺陷的合成指标吗?

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摘要

The European Union (EU) annually publishes an Innovation Union Scoreboard (IUS) as a tool to measure the innovation performance of EU Member States by means of a composite index, called the Summary Innovation Index (SII). The SII is constituted by an average of 25 indicators. The SII is claimed to rank Member States according to their innovation performance. This means that the higher the average value of the 25 indicators, the better the innovation performance is said to be. The first purpose of this article is to assess whether the SII constitutes a meaningful measure of innovation performance. Our conclusion is that it does not. Our second purpose is to develop alternative, productivity or efficiency-based, measures of innovation system performance based on a simple index number, and complement it with advanced and robust nonparametric Data Envelopment Analysis techniques. By doing so, the article offers a critical review of the SII, and proposes to put more emphasis on the identification of and relation between input and output innovation indicators. The data provided by the 2014 and 2015 editions of the IUS are here used to analyze the innovation performance of all 28 EU national innovation systems. A theoretical background and reasons for selecting the indicators used are presented, and our new ranking of the innovation performance using bias-corrected efficiency scores of all EU countries is calculated. We find that the results differ substantially between the SII and the ranking based on our method, with significant consequences for the design of innovation policies.
机译:欧洲联盟(欧盟)每年发布创新联盟记分牌(IUS)作为衡量欧盟成员国的创新绩效的工具,称为综合创新指数(SII)。 SII平均构成25个指标。 SII据称根据其创新绩效征收成员国。这意味着25个指标的平均值越高,据说创新性能越好。本文的第一个目的是评估SII是否构成了创新绩效的有意义衡量标准。我们的结论是它没有。我们的第二个目的是基于简单的索引号来开发基于替代,生产力或效率,创新系统性能的措施,并通过先进和强大的非参数数据包络分析技术来补充它。通过这样做,文章向SII提供了一次关键审查,并建议更加重视输入和输出创新指标之间的识别和关系。 IUS 2014和2015年版本提供的数据用于分析所有28欧盟国家创新系统的创新绩效。展示了选择所使用指标的理论背景及理由,并计算了使用所有欧盟各国的偏置效率分数的创新绩效的新排名。我们发现,基于我们的方法,SII和排名之间的结果大大差异,对创新政策的设计具有重大影响。

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