全球贸易领导力创新集群

IF 0.7 Q3 ECONOMICS
Liudmyla Tsymbal, N. Moskalyuk, Svitlana Gromenkova, V. Chaban
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引用次数: 0

摘要

新的全球体系的形成和系统性的全球相互依存为市场参与者产生了新的竞争因素,决定了他们适当的战略行为,以确保高度竞争的地位和领导地位。因此,本研究的目的是确定全球市场上智力领袖的国家,以及影响这些国家在领导力方面取得的地位的因素。采用多因素回归模型、聚类分析、比较分析等研究方法。根据作者评估国家智力领导力的方法,确定了全球经济中国家的集群。评价算法基于三个层次:1)资源,2)智力活动的中间结果,3)整体进步的最终结果。利用多因素回归模型和聚类分析,根据智力领导的关键指标确定了四类国家。对于每个集群,分析了两个国家在商品出口方面的专业化:集群1 -美国和德国;第2组-以色列和意大利;第三组-巴西和乌克兰;第四组——中国和韩国。给每个国家分配了一个经济复杂性指数,并指出了十年来每个国家在一组中的地位变化。一个重要的目标是了解每个地理区域的国家领导的决定因素。该分析是基于以前出版物中进行的聚类分析。国家分类是根据过去15年宏观经济指标的动态进行的。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Innovative Clusters of Global Trade Leadership
The formation of a new global system and systemic global interdependence has generated new competitiveness factors for market participants, determining their appropriate strategic behavior to ensure a highly competitive position and leadership. Therefore, the purpose of the study is to identify the countries of intellectual leaders in the global market and the factors that influence the positions that countries achieve in terms of leadership. The following research methods were used: multifactor regression models, cluster analysis, and comparative analysis. Based on the authors’ methodology for assessing countries’ intellectual leadership, the clustering of countries in the global economy is determined. The evaluation algorithm was based on three levels: 1) resources, 2) the intermediate results of intellectual activity, and 3) the final results of overall progress. Using a multifactor regression model and cluster analysis, four clusters of countries were identified according to key indicators of intellectual leadership. For each cluster, the specialization of the two countries in terms of merchandise exports was analyzed: cluster 1 – the United States and Germany; cluster 2 – Israel and Italy; cluster 3 – Brazil and Ukraine; cluster 4 – China and South Korea. Each country is assigned an index of economic complexity, and the change in position of each country within a cluster over ten years is noted. An important goal is to understand the determinants of the leadership of countries in each geographic region. The analysis is based on the cluster analysis carried out in previous publications. The clustering of countries was carried out based on the dynamics of macroeconomic indicators over the past 15 years.
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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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