{"title":"税收、不平等和贫困:来自乌克兰的证据","authors":"Oksana Markina","doi":"10.2478/ceej-2022-0001","DOIUrl":null,"url":null,"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.","PeriodicalId":9951,"journal":{"name":"Central European Journal of Economic Modelling and Econometrics","volume":"135 1","pages":"1 - 18"},"PeriodicalIF":0.5000,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Taxation, Inequality, and Poverty: Evidence from Ukraine\",\"authors\":\"Oksana Markina\",\"doi\":\"10.2478/ceej-2022-0001\",\"DOIUrl\":null,\"url\":null,\"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.\",\"PeriodicalId\":9951,\"journal\":{\"name\":\"Central European Journal of Economic Modelling and Econometrics\",\"volume\":\"135 1\",\"pages\":\"1 - 18\"},\"PeriodicalIF\":0.5000,\"publicationDate\":\"2022-01-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Central European Journal of Economic Modelling and Econometrics\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.2478/ceej-2022-0001\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q4\",\"JCRName\":\"ECONOMICS\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Central European Journal of Economic Modelling and Econometrics","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.2478/ceej-2022-0001","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"ECONOMICS","Score":null,"Total":0}
Taxation, Inequality, and Poverty: Evidence from Ukraine
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.
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.