Economic complexity and income inequality in EU countries

IF 0.5 Q4 ECONOMICS
Boris Cota, N. Erjavec, S. Jakšić
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引用次数: 0

Abstract

The article studies the relationship between economic complexity and income inequality across EU countries from 1995 to 2020. The analysed period characterises high globalisation in which “new” EU countries experienced a high transformation of their productive structure. Production structure largely determines income distribution and, thus, income inequality. We employed panel data methodology to assess the relationship between economic complexity and income inequality. To control for economic activity and education, GDP per capita and average years of secondary schooling are also included in the analysis. Expectedly, our findings point to the correlation between economic complexity and income inequality in EU countries. However, the results also indicate an opposite effect between the “old” EU member states and a group of “new” EU member states. This finding suggests that “new” EU members needed more economic complexity in the observed period to reduce income inequality.
欧盟国家的经济复杂性与收入不平等
本文研究了1995 - 2020年欧盟国家经济复杂性与收入不平等之间的关系。所分析的时期的特点是高度全球化,“新”欧盟国家经历了其生产结构的高度转变。生产结构在很大程度上决定了收入分配,从而决定了收入不平等。我们采用面板数据方法来评估经济复杂性和收入不平等之间的关系。为了控制经济活动和教育,人均国内生产总值和平均中等教育年限也包括在分析中。不出所料,我们的研究结果指出了欧盟国家经济复杂性与收入不平等之间的相关性。然而,研究结果也表明,在“老”欧盟成员国和一群“新”欧盟成员国之间存在相反的效应。这一发现表明,在观察期内,“新”欧盟成员国需要提高经济复杂性,以减少收入不平等。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
CiteScore
1.40
自引率
0.00%
发文量
5
审稿时长
22 weeks
期刊介绍: Croatian Operational Research Review (CRORR) is the journal which publishes original scientific papers from the area of operational research. The purpose is to publish papers from various aspects of operational research (OR) with the aim of presenting scientific ideas that will contribute both to theoretical development and practical application of OR. The scope of the journal covers the following subject areas: linear and non-linear programming, integer programing, combinatorial and discrete optimization, multi-objective programming, stohastic models and optimization, scheduling, macroeconomics, economic theory, game theory, statistics and econometrics, marketing and data analysis, information and decision support systems, banking, finance, insurance, environment, energy, health, neural networks and fuzzy systems, control theory, simulation, practical OR and applications. The audience includes both researchers and practitioners from the area of operations research, applied mathematics, statistics, econometrics, intelligent methods, simulation, and other areas included in the above list of topics. The journal has an international board of editors, consisting of more than 30 editors – university professors from Croatia, Slovenia, USA, Italy, Germany, Austria and other coutries.
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