Taxation, Inequality, and Poverty: Evidence from Ukraine

IF 0.5 Q4 ECONOMICS
Oksana Markina
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引用次数: 0

Abstract

Abstract The aim of the article is to assess the impact of taxes on poverty and inequality in Ukraine and provide recommendations on how taxation should be used to address problems of inequality and poverty. The research methodology is based on a combination of linear regression and commitment to equity (CEQ) methodology, which was designed by Lustig to analyse the impact of taxation and social spending on inequality and poverty in individual countries. The dataset consists of data from the World Inequality Data Base and data from State Statistic Service of Ukraine. The analysis shows that income tax reform in Ukraine should not take place in the context of changing tax rates and tax periods but in the context of shifting the tax burden from the poor to the rich and preventing aggressive tax planning. Also, the results of the analysis show that the Ukrainian government’s policy of reducing free education and health services may contribute to poverty if the government does not change its redistributive policies. The article contributes to the academic literature on the impact of taxation on poverty and inequality in developing countries. The practical results obtained in the paper are useful for developing countries’ governments to design poverty- and inequality-sensitive tax policies.
税收、不平等和贫困:来自乌克兰的证据
摘要本文的目的是评估税收对乌克兰贫困和不平等的影响,并就如何利用税收来解决不平等和贫困问题提供建议。研究方法是基于线性回归和公平承诺(CEQ)方法的结合,该方法是由Lustig设计的,用于分析个别国家税收和社会支出对不平等和贫困的影响。该数据集由来自世界不平等数据库和乌克兰国家统计局的数据组成。分析表明,乌克兰的所得税改革不应在改变税率和纳税期限的背景下进行,而应在将税收负担从穷人转移到富人和防止激进的税收规划的背景下进行。此外,分析结果表明,如果乌克兰政府不改变其再分配政策,乌克兰政府减少免费教育和保健服务的政策可能会助长贫困。这篇文章为关于税收对发展中国家贫困和不平等影响的学术文献做出了贡献。本文获得的实际结果对发展中国家政府设计对贫困和不平等敏感的税收政策是有用的。
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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