Poverty in Ukraine: evolution of interpreting and analysis of impact factors

Author:

Brychka BohdanORCID,Vyslobodska HalynaORCID,Voitovych NadiiaORCID

Abstract

Purpose. The purpose of the article is to analyze the evolution of interpretation of the poverty as a category. In addition, among the aims of the article is analysis of the dynamics of the poverty level in Ukraine and Lviv region as well as determination of the most effective economic factors affecting the poverty level. Methodology / approach. An analysis of the importance of the impact of annual growth of Ukraine’s GDP, GDP per capita, unemployment rate, and other possible factors on poverty level was carried out using statistical tools, namely the Pearson’s, Kendall’s, Spearman’s and Fechner’s correlation coefficients. Research methodology is a systematic approach to the study of the phenomenon of poverty using general scientific methods, as well as statistical methods. The questionnaire method was used to interview residents of cities and villages of Lviv region; methods of correlative-regression analysis were used to assess the importance of individual factors on the poverty level in Ukraine. Authors built VAR-model for the optimal analysis of the poverty level in Ukraine and factors of its influence. Results. After analyzing the value of the coefficient of determination, the authors concluded that the most significant factors of poverty in Ukraine are GDP per capita, PPP (R2 = 0.50), unemployment rate (R2 = 0.42), interest rates on loans (R2 = 0.21), inequality of income distribution (Gini index) (R2 = 0.20), taxes on income and profits (R2 = 0.15). GDP annual growth rate accounts for more than 64% of changes in poverty level in the second period. The value of the inequality of income distribution measured by the Gini index in the dynamics of the poverty level increases from 3.9% in the second period to 5.2% in the 10th period. In addition, value of the interest rate on loans and NBU’s account rate increase over time, accounting for approximately 10.0% and 2.4% of the variation in the level of poverty, respectively. Thus, level of interest rates is an important factor influencing the dynamics of poverty level in Ukraine. Originality / scientific novelty. An analysis of the dynamics of the poverty level in Ukraine was conducted, including a survey of residents of towns and villages in the Lviv region. A direct relationship between the interest rate on loans and the level of poverty has been established. In addition, the direct relationship between the inequality of income distribution and poverty level was confirmed. Practical value / implications. It is proposed to use the correlation coefficients of Pearson, Kendall, Spearman and Fechner to calculate the strength of connection between the poverty level and its economic factors. Authors suggest applying VAR-model for optimal analysis of the poverty level in Ukraine.

Publisher

Institute of Eastern European Research and Consulting

Subject

Marketing,Agricultural and Biological Sciences (miscellaneous),Business, Management and Accounting (miscellaneous)

Reference55 articles.

1. Krasun, A., & Turchyn, Ya. (2008). Poverty in Ukraine and ways to overcome it. Ukrainian National Idea: Realities and Prospects of Development, 2, 81–85. Available at: http://dspace.nbuv.gov.ua/bitstream/handle/123456789/25653/16-Krasun.pdf?sequence=1.

2. Komarova, O., & Bratchenko, L. (2018). Specific signs of poverty in Ukrainian society. Social Technologies: Current Problems of Theory and Practice, 79, 117–124. Available at: http://www.soctech-journal.kpu.zp.ua/archive/2018/79/17.pdf.

3. Melnychenko, S. (2010). Socio-philosophical reflection of the dialect of poverty and wealth. Visnyk of NTUU “KPI”. Philosophy. Psychology. Pedagogy, 2, 40–45. Available at: https://core.ac.uk/download/pdf/47229309.pdf.

4. Aristoteles (2000). Polityka [Politics], trans. O. Kislyuk. Kyiv, Osnovy. Available at: http://litopys.org.ua/aristotle/arist.htm.

5. Rudakevych, О., & Kryshevskyi, T. (2016). Poverty as a social evil. Psychology and Society, 2, 100–103. Available at: http://dspace.wunu.edu.ua/jspui/bitstream/316497/11696/1/2016_rud_kryshevsky.pdf

Cited by 2 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3