欧盟候选国与欧盟28国创新绩效效率差异研究

Sc. Slagjana Stojanovska, Sc. Violeta Madzova
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引用次数: 0

摘要

本文的目的是确定两组国家之间的创新绩效效率是否存在差异:欧盟候选国,如马其顿、塞尔维亚和土耳其,以及欧盟28个国家2010 - 2017年的创新绩效平均水平。本文进一步的分析旨在确定影响两类国家创新绩效效率的最关键因素和指标。从这个意义上说,我们使用欧洲创新记分牌(EIS)数据以及2010 - 2017年期间的12个EIS指标,对两组观察到的国家进行了比较分析。为了对各国进行基准测试,我们创建了三个指标:投入创新分指数(II)、产出创新分指数(OI)和创新效率绩效指数(IEPI)。研究结果表明,在被观察的两组国家之间,创新绩效指标的效率存在差异,但在每个欧盟候选国之间也存在差异。事实上,马其顿(IEPI=2.33)的创新投入转化为创新产出的效率是欧盟28国(IEPI=1.17)、塞尔维亚(IEPI=1.06)和土耳其(IEPI= 0.24)的两倍。值得注意的是,马其顿设法利用其有限的资源以更有效/更有成效的方式(IEPI= 2.33)投入(分类指数II= 0.13),并获得大多数产出创新(分类指数OI= 0.29)。本文的研究结果可用于在观察的欧盟候选国设计更好的创新政策。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Differences in efficiency of innovation performance among EU candidate countries and EU 28 countries
The aim of this paper is to identify if there are differences in the efficiency of innovation performance between the two groups of countries: EU candidate countries such as Macedonia, Serbia and Turkey and the average level of innovation performance in EU-28 countries from 2010 - 2017. The further paper’s analysis aims to identify the most crucial factors and indicator that contribute to the efficiency of innovation performance in both groups of countries.In that sense, the comparative analyses of the two observed groups of countries has been done, using   the European Innovation Scoreboard (EIS) data as well as 12 EIS indicators for the period 2010 - 2017. For benchmarking of the countries three indicators are created: sub-index Input Innovation (II), sub-index Output Innovation (OI) and the Innovation Efficiency Performance Index (IEPI).The findings show that there is a difference in efficiency of innovation performance indicators between the observed two groups of countries, but as well as among each the EU candidate country. In fact, Macedonia (IEPI=2.33) has twice higher efficiency of transforming innovation inputs into innovation output unlike the EU28 countries (IEPI=1.17), Serbia (IEPI=1.06) and Turkey (IEPI=.24).It can be noted as well that Macedonia managed to use its limited resources to input (sub-index II= 0.13) in much more efficient/productive way (IEPI= 2.33) and to obtain most output innovation (sub-index OI= 0.29). This paper’s findings can be used for designing better innovation policy in the observed EU candidate countries.
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