Poverty in Ukraine: evolution of interpreting and analysis of impact factors
DOI:
https://doi.org/10.51599/are.2023.09.02.01Keywords:
poverty, poverty level, income, expenditure, savings.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.
References
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.
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.
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.
Aristoteles (2000). Polityka [Politics], trans. O. Kislyuk. Kyiv, Osnovy. Available at: http://litopys.org.ua/aristotle/arist.htm.
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
Lopukh, K. (2016). Adam Smith on the causes of inequality in society. History of National Economy and Economic Thought of Ukraine, 49, 239–249. Available at: http://nbuv.gov.ua/UJRN/ingedu_2016_49_17.
Novikov, D. (2016). Interrelationship of wage functions in labor law with classical economic theory. Zbirnyk Naukovykh Prats KhNPU imeni H. S. Skovorody. “Pravo”, 24, 43–51. https://doi.org/10.5281/zenodo.192580.
Zolotykh, І. (2013). Istoriia ekonomichnykh vchen [History of economic thought]. Kyiv, TsNL.
Melnychenko, S. (2009). Problems of studying the phenomenon of poverty in the socio-philosophical tradition. Bulletin of NTUU “KPI”. Philosophy. Psychology. Pedagogy, 3(27), 45–50. Available at: https://ela.kpi.ua/handle/123456789/9565?locale=uk.
Encyclopedia of political thought (2022). Slovnyk.me. Available at: https://slovnyk.me/dict/politics_encyclopedia.
Melnychuk, V. (2017). From poverty to wealth. Tyzhden.ua, 42(518). Available at: https://tyzhden.ua/vid-bidnosti-do-bahatstva.
Kharchenko, N. (1999). The diversity of aspects of poverty: an attempt at a sociological analysis. Scientific Notes NaUKMA. Politology. Sociology, 7, 38–49. Available at: https://www.kiis.com.ua/materials/articles/poverty.pdf.
Allen, R. C. (2020). Poverty and the labor market: today and yesterday. Annual Review of Economics, 12, 107–134. https://doi.org/10.1146/annurev-economics-091819-014652.
Kliuchnyk, R. (2022). Main interpretations of poverty in economic science. Academy Review, 1(56), 14–23. https://doi.org/10.32342/2074-5354-2022-1-56-2.
Zelinsky, T., Mysikova, M., & Garner, T. (2022). Trends in subjective income poverty rates in the European Union. European Journal of Development Research, 34(5), 2493–2516. https://doi.org/ 10.1057/s41287-021-00457-2.
Pryhodko, I. (2018). Theoretical and methodological approaches to defining the concept of poverty. Young Scientist, 1(53), 528–532. Available at: http://molodyvcheny.in.ua/files/journal/2018/1/124.pdf.
Tran, V. Q., Alkire, S., & Klasen, S. (2015). Static and dynamic disparities between monetary and multidimensional poverty measurement: evidence from Vietnam. OPHI Working Paper, 97, 249–281.
Alkire, S., Foster, J., Seth, S., Santos, M. E., Roche, J. M., & Ballon, P. (2015). Multi-dimensional poverty measurement and analysis. Oxford, Oxford University Press. Available at: https://books.google.com.ua/books?hl=uk&lr=&id=P8r9CAAAQBAJ&oi=fnd&pg=PP1&dq.
Luczak, A., & Kalinowski, S. (2022). A multidimensional comparative analysis of poverty statuses in European Union countries. International Journal of Economic Sciences, European Research Center, 11(1), 146–160. https://doi.org/10.52950/ES.2022.11.1.009.
Verkhovna Rada of Ukraine (2001). Decree of the President of Ukraine “About the Poverty Alleviation Strategy”. Available at: https://zakon.rada.gov.ua/laws/show/637/2001#Text.
Ministry of Social Policy of Ukraine (2012). Order of the Ministry of Social Policy “Method comprehensive assessment of poverty”. Available at: https://zakon.rada.gov.ua/laws/show/z1785-12#Text.
Council of the European Communities (1975). Council Decision of 22 July 1975 concerning a programme of pilot schemes and studies to combat poverty, 75/458/EEC. (OJL19930.7.1975). Brussels, Council of the European Communities. Available at: https://www.consilium.europa.eu/en.
Goedeme, T., Decerf, B., & Van den Bosch, K. (2022). A new poverty indicator for Europe: the extended headcount ratio. Journal of European Social Policy, 32(3), 287–301. https://doi.org/10.1177/09589287221080414.
Jenkins, S. (2020). Perspectives on poverty in Europe. Following in Tony Atkinson’s footsteps. Italian Economic Journal, 6(1), 129–155. https://doi.org/10.1007/s40797-019-00112-0.
Mussida, C., & Sciulli, D. (2021). Childbirth and poverty in Europe: a dynamic bivariate approach. The Review of Income and Wealth, 69(1), 34–59. https://doi.org/10.1111/roiw.12547.
UNICEF (2023). The impact of the war in Ukraine and subsequent economic downturn on child poverty in eastern Europe. Available at: https://www.unicef.org/eca/reports/impact-war-ukraine-and-subsequent-economic-downturn-child-poverty-eastern-europe.
Obrizan, M. (2022). Displacement, poverty and unemployment in Ukraine: three months into the full-scale war. VoxUkraine. Available at: https://voxukraine.org/en/displacement-poverty-and-unemployment-in-ukraine-three-months-into-the-full-scale-war.
Beno, P., Stukovsky, P., Cintulova, L., & Samohyl, M. (2020). Analysis of the poverty risk in European countries. Acta Missiologica, 14(1), 92–101. Available at: https://www.actamissiologica.com/sub/am-1,2020.pdf.
Gnangnon, S. (2021). Poverty volatility and poverty in developing countries. Economic Affairs, 41(1), 84–95. https://doi.org/10.1111/ecaf.12445.
Debucquet, D., & Martin, W. (2018). Implications of the global growth slowdown for rural poverty. Agricultural Economics, 49(3), 325–338. https://doi.org/10.1111/agec.12419.
Fransham, M. (2019). Income and population dynamics in deprived neighbourhoods: measuring the poverty turnover rate using administrative data. Applied Spatial Analysis and Policy, 12(2), 275–300. https://doi.org/10.1007/s12061-017-9242-6.
Doran, C., & Stratmann, T. (2020). The relationship between economic freedom and rates: cross-country evidence. Journal of Institutional and Theoretical Economics, 176(4), 686–707. https://doi.org/10.1628/jite-2020-0042.
Zohar, G., Domenech-Abella, J., De Backer, F., & Lombaerts, K. (2022). The relationship between level of education and household income in the justification of political violence in the EU. The moderating effect of poverty at the country level. Political Research Exchange, 4(1). https://doi.org/10.1080/2474736X.2022.2031233.
Marrero, G., & Serven, L. (2021). Growth, inequality and poverty: a robust relationship? Empirical Economics, 63(2), 725–791. https://doi.org/10.1007/s00181-021-02152-x.
Bergstrom, K. (2022). The role of income inequality for poverty reduction. World Bank Economic Review, 36(3), 583–604. https://doi.org/10.1093/wber/lhab026.
Gnangnon, S. (2021). Exchange rate pressure, fiscal redistribution and poverty in developing countries. Economic Change and Restructuring, 54(4), 1173–1203. https://doi.org/10.1007/s10644-020-09300-w.
Liu, Z., Hasan, M., Xuan, L., Saydaliev, H., Lan, J. & Iqbal, W. (2022) Trilemma association of education, income and poverty alleviation: managerial implications for inclusive economic growth. Singapore Economic Review. https://doi.org/10.1142/S0217590822440052.
Mahler, D., Aguilar, R., & Newhouse, D. (2022). Nowcasting Global Poverty. World Bank Economic Review, 36(4), 835–856. https://doi.org/10.1093/wber/lhac017.
Mathiassen, A., & Wold, B. (2021). Predicting poverty trends by survey-to-survey imputation: the challenge of comparability. Oxford Economic Papers, 73(3), 1153–1174. https://doi.org/10.1093/oep/gpab014.
Iftimoaei, C., Baciu, I., & Gabor, V. (2021). Typologies of poverty in EU-28 before COVID-19 pandemic. A multivariate statistical analysis. Romanian statistical review, 4, 3–26. Available at: https://www.revistadestatistica.ro/2021/12/typologies-of-poverty-in-eu-28-before-covid-19-pandemic-a-multivariate-statistical-analysis.
Li, N. (2019). Flat rate taxes and relative poverty measurement: a reconsideration. Social Choice and Welfare, 52(2), 353–362. https://doi.org/10.1007/s00355-018-1151-3.
Wijaya, D., Paramita, N., Uluwiyah, A., Rheza, M., Zahara, A., & Puspita, D. (2022). Estimating city-level poverty rate based on e-commerce data with machine learning. Electronic Commerce Research, 22(1), 195–221. https://doi.org/10.1007/s10660-020-09424-1.
Hellwig, T., & Marinova, D. (2022). Evaluating the unequal economy: poverty risk, economic indicators, and the perception gap. Political Research Quarterly, 76(1), 253–266. https://doi.org/10.1177/10659129221075579.
Kim, S., & Shahandashti, M. (2022). Characterizing relationship between demand surge and post-disaster reconstruction capacity considering poverty rates. International Journal of Disaster Risk Reduction, 76, 103014. https://doi.org/10.1016/j.ijdrr.2022.103014.
Gnangnon, S. (2021). Economic complexity and poverty in developing countries. Economic Affairs, 41(3), 416–429. https://doi.org/10.1111/ecaf.12485.
Sumner, A., Ortiz-Juarez, E., & Hoy, C. (2021). Measuring global poverty before and during the pandemic: a political economy of overoptimism. Third world quarterly, 43(1), 1–17. https://doi.org/10.1080/01436597.2021.1995712.
Lakner, C., Mahler, D., Negre, M., & Prydz, E. (2022). How much does reducing inequality matter for global poverty? Journal of economic inequality, 20(3), 559–585. https://doi.org/10.1007/s10888-021-09510-w.
Khomiak, М. (2013). Poverty in Ukraine in indicators of social statistics. Sociological Studios, 2(3), 70–76. Available at: https://sociostudios.vnu.edu.ua/index.php/socio/article/view/83/60.
Verbytska, H. (2010). Problems of poverty and standard of living of the population of Ukraine. Bulletin of the Lviv Polytechnic National University. Management and entrepreneurship in Ukraine: stages of formation and problems of development, 682, 252–258. Available at: http://nbuv.gov.ua/UJRN/VNULPM_2016_851_23.
Libanova, E., Sarioglo, V., Cherenko, L., Shyshkin, V. S., Poliakova, S. V., Ohai, M. Yu., … & Novoselska, T. V. (2010). Analiz bidnosti ta sotsialnykh naslidkiv ekonomichnoi kryzy v Ukraini: analitychna dopovid [Analysis of poverty and social consequences of the economic crisis in Ukraine: analytical report]. Kyiv. Available at: https://www.idss.org.ua/public_en.
Pidlypna, R. P. (2016). Analysis of the importance of social insurance in poverty. Global and National Problems of Economy, 10, 701–706. Available at: http://global-national.in.ua/archive/10-2016/146.pdf.
Statbank Lviv region (2022). Statistical data. Available at: http://database.ukrcensus.gov.ua/statbank_lviv/Database/19DEMOGR/databasetree_uk.asp.
Bakhrushyn, V. (2011). Metody analizu danykh [Methods of data analysis]. Zaporizhzhia, Classical Private University.
State Statistics Service of Ukraine (2023). Statistical data. Available at: https://www.ukrstat.gov.ua.
World Bank Open Data (2023). Statistical data. Available at: https://data.worldbank.org.
