The artcle examines the innovatveness of enterprises in 69 Polish NUTS3 sub-regions in 2014. The analysis is based on unpublished regional data from the Polish Central Statstcal Ofce covering the following variables: the share of enterprises which have incurred outlays for innovatve actvites, the share of enterprises implementng process or product innovatons, the share of companies collaboratng in the feld of innovaton, and the share of new or modernized products in total producton sold in industrial companies. The analysis focuses on building rankings and cluster analysis of NUTS3 regions. As research methods, the author uses selected methods of multdimensional comparatve analysis, principal component analysis and the hierarchical Ward’s method. The results show that there are substantal differences among NUTS3 sub-regions as regards innovatveness of enterprises. The low level of cooperaton does not foster innovaton. Innovaton outputs of enterprises are also unsatsfactory. The highest variaton is seen in the share of new or modernized products in total producton sold in industrial companies. The fnal effect of the cluster analysis is the division of regions into 7 groups. In the case of units where innovaton inputs are not reflected in innovaton outputs, it would be useful to explore regional and local factors influencing those relatons. Further research is stll needed.

中文翻译：

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区域背景下波兰企业的创新能力

文章研究了2014年波兰69个NUTS3子区域的企业创新能力。该分析基于波兰中央统计局未发布的区域数据，该数据包括以下变量：承担创新活动费用的企业份额，份额实施过程或产品创新的企业，在创新领域合作的公司所占份额以及在工业公司销售的总产品中新产品或现代化产品所占的份额。该分析着重于对NUTS3地区的排名和聚类分析。作为研究方法，作者使用了多维比较分析，主成分分析和分层Ward方法的精选方法。结果表明，在企业创新方面，NUTS3子区域之间存在很大差异。合作的低水平不会促进创新。企业的创新产出也不尽人意。在工业公司出售的新产品或现代化产品中，新产品或现代化产品所占的比重最高。聚类分析的最终效果是将区域分为7组。对于在创新输出中未反映创新输入的单位，探索影响这些相关性的区域和局部因素将很有用。还需要进一步研究。在工业公司出售的新产品或现代化产品中，新产品或现代化产品所占的比重最高。聚类分析的最终效果是将区域分为7组。对于在创新输出中未反映创新输入的单位，探索影响这些相关性的区域和局部因素将很有用。还需要进一步研究。在工业公司出售的新产品或现代化产品中，新产品或现代化产品所占的比重最高。聚类分析的最终效果是将区域分为7组。对于在创新输出中未反映创新输入的单位而言，探索影响这些相关性的区域和局部因素将是有用的。还需要进一步研究。