IDEAS home Printed from https://ideas.repec.org/a/ags/areint/337433.html
   My bibliography  Save this article

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

Author

Listed:
  • Brychka, Bohdan
  • Vyslobodska, Halyna
  • Voitovych, Nadiia

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.

Suggested Citation

  • Brychka, Bohdan & Vyslobodska, Halyna & Voitovych, Nadiia, 2023. "Poverty in Ukraine: evolution of interpreting and analysis of impact factors," Agricultural and Resource Economics: International Scientific E-Journal, Agricultural and Resource Economics: International Scientific E-Journal, vol. 9(2), June.
  • Handle: RePEc:ags:areint:337433
    DOI: 10.22004/ag.econ.337433
    as

    Download full text from publisher

    File URL: https://ageconsearch.umn.edu/record/337433/files/1_Brychka_article.pdf
    Download Restriction: no

    File URL: https://libkey.io/10.22004/ag.econ.337433?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. Van Q. Tran & Sabina Alkire & Stephan Klasen, 2015. "Static and Dynamic Disparities between Monetary and Multidimensional Poverty Measurement: Evidence from Vietnam," Research on Economic Inequality, in: Thesia I. Garner & Kathleen S. Short (ed.), Measurement of Poverty, Deprivation, and Economic Mobility, volume 23, pages 249-281, Emerald Publishing Ltd.
    2. Dedy Rahman Wijaya & Ni Luh Putu Satyaning Pradnya Paramita & Ana Uluwiyah & Muhammad Rheza & Annisa Zahara & Dwi Rani Puspita, 2022. "Estimating city-level poverty rate based on e-commerce data with machine learning," Electronic Commerce Research, Springer, vol. 22(1), pages 195-221, March.
    3. Tomáš Želinský & Martina Mysíková & Thesia I. Garner, 2022. "Trends in Subjective Income Poverty Rates in the European Union," The European Journal of Development Research, Palgrave Macmillan;European Association of Development Research and Training Institutes (EADI), vol. 34(5), pages 2493-2516, October.
    4. Christoph Lakner & Daniel Gerszon Mahler & Mario Negre & Espen Beer Prydz, 2022. "How much does reducing inequality matter for global poverty?," The Journal of Economic Inequality, Springer;Society for the Study of Economic Inequality, vol. 20(3), pages 559-585, September.
    5. Stephen P. Jenkins, 2020. "Perspectives on Poverty in Europe. Following in Tony Atkinson’s Footsteps," Italian Economic Journal: A Continuation of Rivista Italiana degli Economisti and Giornale degli Economisti, Springer;Società Italiana degli Economisti (Italian Economic Association), vol. 6(1), pages 129-155, March.
    6. Colin Doran & Thomas Stratmann, 2020. "The Relationship between Economic Freedom and Poverty Rates: Cross-Country Evidence," Journal of Institutional and Theoretical Economics (JITE), Mohr Siebeck, Tübingen, vol. 176(4), pages 686-707.
    7. Van Q. Tran & Sabina Alkire & Stephan Klasen, 2015. "Static and Dynamic Disparities between Monetary and Multidimensional Poverty Measurement: Evidence from Vietnam," Research on Economic Inequality, in: Measurement of Poverty, Deprivation, and Economic Mobility, volume 23, pages 249-281, Emerald Group Publishing Limited.
    8. Aleksandra ?uczak & S?awomir Kalinowski, 2022. "A multidimensional comparative analysis of poverty statuses in European Union countries," International Journal of Economic Sciences, European Research Center, vol. 11(1), pages 146-160, April.
    9. Nan Li, 2019. "Flat rate taxes and relative poverty measurement: a reconsideration," Social Choice and Welfare, Springer;The Society for Social Choice and Welfare, vol. 52(2), pages 353-362, February.
    10. Sena Kimm Gnangnon, 2021. "Poverty volatility and poverty in developing countries," Economic Affairs, Wiley Blackwell, vol. 41(1), pages 84-95, February.
    11. Katy Bergstrom, 2022. "The Role of Income Inequality for Poverty Reduction," The World Bank Economic Review, World Bank, vol. 36(3), pages 583-604.
    12. Daniel Gerszon Mahler & R Andrés Castañeda Aguilar & David Newhouse, 2022. "Nowcasting Global Poverty [Why Is Growth in Developing Countries So Hard to Measure?]," The World Bank Economic Review, World Bank, vol. 36(4), pages 835-856.
    13. Sèna Kimm Gnangnon, 2021. "Exchange rate pressure, fiscal redistribution and poverty in developing countries," Economic Change and Restructuring, Springer, vol. 54(4), pages 1173-1203, November.
    14. David Laborde Debucquet & Will Martin, 2018. "Implications of the global growth slowdown for rural poverty," Agricultural Economics, International Association of Agricultural Economists, vol. 49(3), pages 325-338, May.
    15. Alkire, Sabina & Foster, James & Seth, Suman & Santos, Maria Emma & Roche, Jose Manuel & Ballon, Paola, 2015. "Multidimensional Poverty Measurement and Analysis," OUP Catalogue, Oxford University Press, number 9780199689491.
    16. Astrid Mathiassen & Bjørn K. Getz Wold, 2021. "Predicting poverty trends by survey-to-survey imputation: the challenge of comparability," Oxford Economic Papers, Oxford University Press, vol. 73(3), pages 1153-1174.
    17. Sena Kimm Gnangnon, 2021. "Economic complexity and poverty in developing countries," Economic Affairs, Wiley Blackwell, vol. 41(3), pages 416-429, October.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Kalaitan, Tetyana & Stybel, Volodymyr & Hrymak, Oleh & Sarakhman, Oksana & Shurpenkova, Ruslana, 2023. "State support of the dairy industry and prospects for its development in the post-war period," Agricultural and Resource Economics: International Scientific E-Journal, Agricultural and Resource Economics: International Scientific E-Journal, vol. 9(3), September.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Rodrigo García Arancibia & Ignacio Girela, 2023. "Graphical Representation of Multidimensional Poverty: Insights for Index Construction and Policy Making," Working Papers 233, Red Nacional de Investigadores en Economía (RedNIE).
    2. Pinaki Das & Bibek Paria & Shama Firdaush, 2021. "Juxtaposing Consumption Poverty and Multidimensional Poverty: A Study in Indian Context," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 153(2), pages 469-501, January.
    3. Sugata Bag & Suman Seth, 2016. "Understanding Standard of Living and Correlates in Slums - An Analysis Using Monetary Versus Multidimensional Approaches in Three Indian Cities," Working papers 263, Centre for Development Economics, Delhi School of Economics.
    4. Achille Lemmi & Donatella Grassi & Alessandra Masi & Nicoletta Pannuzi & Andrea Regoli, 2019. "Methodological Choices and Data Quality Issues for Official Poverty Measures: Evidences from Italy," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 141(1), pages 299-330, January.
    5. Anh Thu Quang Pham & Pundarik Mukhopadhaya, 2018. "Measurement of Poverty in Multiple Dimensions: The Case of Vietnam," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 138(3), pages 953-990, August.
    6. Keetie Roelen, 2018. "Poor Children in Rich Households and Vice Versa: A Blurred Picture or Hidden Realities?," The European Journal of Development Research, Palgrave Macmillan;European Association of Development Research and Training Institutes (EADI), vol. 30(2), pages 320-341, April.
    7. Giovanni Valensisi, 2020. "COVID-19 and Global Poverty: Are LDCs Being Left Behind?," The European Journal of Development Research, Palgrave Macmillan;European Association of Development Research and Training Institutes (EADI), vol. 32(5), pages 1535-1557, December.
    8. Paola Ballón & John Cockburn & Sylvain Dessy & Setou Diarra, 2018. "Child Monetary Poverty and Multidimensional Deprivations: Why They Differ," Journal of African Economies, Centre for the Study of African Economies, vol. 27(4), pages 483-512.
    9. Sabina Alkire, 2018. "The Research Agenda on Multidimensional Poverty Measurement: Important and As-yet Unanswered Questions," OPHI Working Papers ophiwp119_3.pdf, Queen Elizabeth House, University of Oxford.
    10. Anh Thu Quang Pham & Pundarik Mukhopadhaya & Ha Vu, 2020. "Targeting Administrative Regions for Multidimensional Poverty Alleviation: A Study on Vietnam," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 150(1), pages 143-189, July.
    11. Khaufelo Raymond Lekobane, 2022. "Does it matter which poverty measure we use to identify those left behind? Investigating poverty mismatch and overlap for Botswana," Journal of Social and Economic Development, Springer;Institute for Social and Economic Change, vol. 24(1), pages 171-196, June.
    12. Rodrigo García Arancibia & Ignacio Girela, 2021. "Conditional Associations of Multidimensional Poverty Indicators in Argentina: A Graphical Representation," Asociación Argentina de Economía Política: Working Papers 4478, Asociación Argentina de Economía Política.
    13. Balasubramanian, P. & Burchi, F. & Malerba, D., 2023. "Does economic growth reduce multidimensional poverty? Evidence from low- and middle-income countries," World Development, Elsevier, vol. 161(C).
    14. Sugata Bag & Suman Seth, 2018. "Does It Matter How We Assess Standard of Living? Evidence from Indian Slums Comparing Monetary and Multidimensional Approaches," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 140(2), pages 715-754, November.
    15. Thi Kim Thanh Bui & Guido Erreygers, 2020. "Multidimensional Inequality in Vietnam, 2002–2012," Economies, MDPI, vol. 8(2), pages 1-31, April.
    16. Woojin Jung, 2022. "The Discrepancy Between Two Approaches to Global Poverty: What Does it Reveal?," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 162(3), pages 1313-1344, August.
    17. Hoang Xuan Diem & Tran Van Hoang, 2018. "Multidimensional poverty in Vietnam: Evidence from a rural household survey," WIDER Working Paper Series wp-2018-127, World Institute for Development Economic Research (UNU-WIDER).
    18. Sèna Kimm Gnangnon, 2023. "Do unilateral trade preferences help reduce poverty in beneficiary countries?," International Journal of Economic Policy Studies, Springer, vol. 17(1), pages 249-288, February.
    19. Burchi, Francesco & Malerba, Daniele & Rippin, Nicole & Montenegro, Claudio E., 2019. "Comparing global trends in multidimensional and income poverty and assessing horizontal inequalities," IDOS Discussion Papers 2/2019, German Institute of Development and Sustainability (IDOS).
    20. Ali Akbar Barati & Milad Zhoolideh & Mostafa Moradi & Eydieh Sohrabi Mollayousef & Christine Fürst, 2022. "Multidimensional poverty and livelihood strategies in rural Iran," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 24(11), pages 12963-12993, November.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:ags:areint:337433. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: AgEcon Search (email available below). General contact details of provider: http://are-journal.com/are .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.