Economic Performance in Post-Soviet and Post-Communist Countries – Evidence from Panel Data and Multivariate Statistical Analysis

IF 0.6 Q4 ECONOMICS
Agata Szymańska
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引用次数: 2

Abstract

Abstract The study examines the effect of sets of determinants of economic growth, which are widely emphasised in the literature, in a group of 27 selected post-Soviet, post-communist and transition countries from Central and Eastern Europe, the former Soviet Union, and Mongolia during 1997–2017. The set of baseline variables includes, among others, trade openness, investment rate, public consumption spending, and selected demographic factors. The methodology uses panel data and it is supported by multivariate statistical methods of grouping objects. The panel data provides results that are mainly consistent with the literature review. However, the effects of demographic factors are rather not significant, but the role of investment has been emphasised. In turn, the multivariate statistical approaches indicate the shifts in regional (dis)similarity between the analysed countries with respect to the performance of the selected variables over the last 20 years.
后苏联和后共产主义国家的经济表现——来自面板数据和多元统计分析的证据
摘要:本研究考察了文献中广泛强调的一系列经济增长决定因素的影响,研究对象是1997-2017年间从中欧和东欧、前苏联和蒙古选出的27个后苏联、后共产主义和转型国家。这组基准变量包括贸易开放度、投资率、公共消费支出和选定的人口因素。该方法采用面板数据,并以分组对象的多元统计方法为支撑。面板数据提供的结果与文献综述基本一致。然而,人口因素的影响相当不显著,但投资的作用已得到强调。反过来,多元统计方法表明,所分析的国家在过去20年所选变量的执行情况方面的区域(非)相似性发生了变化。
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
2.30
自引率
10.00%
发文量
0
审稿时长
13 weeks
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