Has Economic Growth in Balkan Countries Been Pro-Poor in the 2012–2017 period?

IF 0.5 Q4 ECONOMICS
J. Zwierzchowski, T. Panek
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引用次数: 1

Abstract

Abstract The study investigates whether economic growth in the Balkan countries was pro-poor in the most recent period. We also try to establish to what extent various measures of pro-poorness of economic growth produce consistent and comparable results. Firstly, concepts of pro-poor growth are defined and corresponding approaches toward measuring pro-poor growth are presented. We distinguish between measures based on a general class of pro-poor indices and a dominance-based techniques. In the empirical part of the study, we verified whether economic growth in six Balkan countries (Greece, Bulgaria, Romania, Slovenia, Croatia and Serbia) was pro-poor in the 2012–2017 period. The analyses is based on the latest available panel data of the European Union Survey on Income and Living Conditions (EU-SILC). Growth was pro-poor in Croatia, Romania and Slovenia during the whole analysed period. The growth pattern was non pro-poor in Bulgaria, Greece and Serbia in certain years, mainly during periods of economic downfall. Various measures of pro-poor growth patterns do not produce consistent results in all instances. The results of the conducted comparative analysis suggest that the level of social benefits does not directly influence the pro-poor nature of the economic growth.
2012-2017年巴尔干国家的经济增长是否有利于贫困人口?
摘要本研究探讨了巴尔干国家最近一段时期的经济增长是否有利于贫困。我们还试图确定在多大程度上,各种有利于贫穷的经济增长措施产生一致和可比较的结果。首先,定义了有利于贫困人口增长的概念,并提出了衡量有利于贫困人口增长的相应方法。我们区分了基于一般类型的扶贫指数和基于优势的技术的措施。在研究的实证部分,我们验证了2012-2017年期间六个巴尔干国家(希腊、保加利亚、罗马尼亚、斯洛文尼亚、克罗地亚和塞尔维亚)的经济增长是否有利于穷人。这些分析是基于欧盟收入和生活条件调查(EU-SILC)的最新可用面板数据。在整个分析期间,克罗地亚、罗马尼亚和斯洛文尼亚的经济增长有利于穷人。保加利亚、希腊和塞尔维亚的增长模式在某些年份,主要是在经济衰退时期,是不利于穷人的。对有利于穷人的增长模式的各种衡量并不能在所有情况下产生一致的结果。所进行的比较分析结果表明,社会福利水平并不直接影响经济增长的扶贫性质。
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
0.60
自引率
0.00%
发文量
9
期刊介绍: The Central European Journal of Economic Modelling and Econometrics (CEJEME) is a quarterly international journal. It aims to publish articles focusing on mathematical or statistical models in economic sciences. Papers covering the application of existing econometric techniques to a wide variety of problems in economics, in particular in macroeconomics and finance are welcome. Advanced empirical studies devoted to modelling and forecasting of Central and Eastern European economies are of particular interest. Any rigorous methods of statistical inference can be used and articles representing Bayesian econometrics are decidedly within the range of the Journal''s interests.
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