欧盟地区知识密集型商业服务业的就业结构与经济发展

IF 0.7 Q3 ECONOMICS
M. Markowska, P. Hlaváček, D. Strahl
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引用次数: 1

摘要

该研究展示了2008年和2018年根据特定部门(知识密集型高科技服务业、知识密集型市场服务业和其他知识密集型服务业)的就业份额以及人均GDP对欧盟坚果2地区进行分组的结果。区域的分组是通过聚类方法完成的(对于结构数据),包括确定分组数量的Ward方法和最终划分的k - means。GDP组使用样本均值和一个标准差来定义。为了评估分类的相似性,从而评估就业结构与经济发展水平和速度之间的相关性,使用了Sokołowski提出的分区相似性度量。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Knowledge‑Intensive Business Services Employment Structure and Economic Development in EU Regions
The study presents the results of grouping EU NUTS 2 regions based on the share of employment in particular sectors (knowledge‑intensive high‑technology services, knowledge‑intensive market services and other knowledge‑intensive services), as well as GDP per capita, in 2008 and 2018. The grouping of regions was done by clustering methods (for structure data), including Ward’s method to determine the number of groups and the k‑means for the final partition. GDP groups were defined using a sample mean and one standard deviation. To assess the similarity of the classifications and, consequently, to evaluate correlations between the employment structures and the level and pace of economic development, the similarity measure for partitions proposed by Sokołowski was used.
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来源期刊
CiteScore
1.30
自引率
0.00%
发文量
26
审稿时长
16 weeks
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