经济与创意多参数聚类

IF 0.7 Q2 AREA STUDIES
S. Slava
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引用次数: 0

摘要

本文提出了一种利用与经济和创造力相关的多参数集对乌克兰地区进行聚类的方法,以揭示参与者在跨地区比较中的主要作用。特别关注了2014年和2022年以来入侵地区的分析。该方法基于对结构化分析、相关性、回归和聚类建模的一致利用。通过相关和回归分析从二手数据中选择参数集,旨在确定最具影响的因素。研究样本包括乌克兰的25个地区。研究结果主要有助于比较区域分析的理论化,以及经济与创造力之间的关系及其在与战争危机直接相关的地区的具体行为。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Economy and creativity multiparametric clustering
This paper suggests a way to cluster Ukrainian regions by using economy and creativity-related multiparametric sets so as to reveal the main roles of players in cross-regional comparisons. Special attention was paid to an analysis of invaded regions since 2014 and 2022. The methodology is based on a consistent utilisation of structured analysis, correlation, regression and clustering modelling. Sets of parameters were selected from secondary data via correlation and regression analyses aimed at defining the most impactful factors. The study sample includes 25 regions in Ukraine. The research results contribute mainly to the theorisation of comparative regional analysis and to the relationship between the economy and creativity and their specific behaviour in regions directly linked to war crisis.
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来源期刊
Baltic Region
Baltic Region AREA STUDIES-
CiteScore
1.60
自引率
37.50%
发文量
11
审稿时长
24 weeks
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