-


¹3 (28) 2016

Demography and social economy, 2016, 3(28):133-144
doi: https://doi.org/10.15407/dse2016.03.133

G.M. Urchik

PhD (Economics), Associate Prof.
National University of Water Management and Environmental Engineering
33028, Ukraine, Rivne, st. Soborna, 11
E-mail: g.m.urchik@nuwm.edu.ua

N.M. Samoliuk
PhD (Economics), Associate Prof.
National University of Water Management and Environmental Engineering
33028, Ukraine, Rivne, st. Soborna, 11
E-mail: n.m.samoliuk@nuwm.edu.ua


INCOME DIFFERENTIATION OF RESIDENTS OF UKRAINE UNDER CONDITIONS OF SHADOW ECONOMY
Section: HUMAN DEVELOPMENT AND SOCIAL PROBLEMS
Language: Ukrainian
Abstract: The objective of the article is to study income differentiation of the population of Ukraine with consideration of its shadow components. Official data-based analysis of income differentiation indicates a moderate rate of inequality in income distribution in Ukraine, as compared with the EU. At the same time, a share of the shadow economy exceeds the safe level by most estimates. As there is no reliable data for assessments of distribution of the shadow incomes, such a study is very relevant. The article discusses some possible criteria to characterize the distribution of the shadow incomes by decile population groups based on the author’s approach, suggesting consideration of the structure of household’s expenditures and self-assessment of the quality of life. The presented findings indicate significant variation in the population differentiation by total incomes and adjusted total incomes. Considering the shadow income component proves that real inequality in income distribution in Ukraine is significantly higher in comparison to official data. Ignoring relevant problems only creates the social and political instability in society. Thus, the question of legalization of the national economy, distribution, and redistribution of income is based on transparency and social justice that is a priority of the government.
Key words: income differentiation, shadow economy, Lorenz curve, total income, shadow income, adjusted total income.
References:
1. Lorenz, M. (1905). Methodsof Measuring the Concentration of Wealth. Publications of the American Statistical Association, 9 (70), 209-219 [in English]. https://doi.org/10.2307/2276207
2. Dalton, H. (1920). The Measurement of the Inequality of Income. The Economic Journal, 30 (119), 348-361 [in English]. https://doi.org/10.2307/2223525
3. Atkinson, A. (1970). On the Measurement of inequalityñ. Journal of Economic Theory, 2, 244-263 [in English]. https://doi.org/10.1016/0022-0531(70)90039-6
4. Bourguignon, F. (1979). Decomposable Income Inequality Measures. Econometrica, 47, 901-920 [in English]. https://doi.org/10.2307/1914138
5. Cowell, F. (1980). On the Structure of Additive Inequality Measures. Review of Economic Studies, 47, 521-531 [in English]. https://doi.org/10.2307/2297303
6. Shorrocks, A. (1982). The Impact of Income Components on the Distribution of Family Incomes. Quarterly Journal of Economics, 98, 311-326 [in English]. https://doi.org/10.2307/1885627
7. Yitzhaki, S. & Lerman, R. (1991). Income Inequality Effects by Income Source: a New Approach and Applications to the United States. The Review of Income and Wealth, 37, 313-329 [in English]. https://doi.org/10.1111/j.1475-4991.1991.tb00374.x
8. Deaton, A. (1996). The Analysis of Household Surveys: A Microeconometric Approach to Development Policy. Baltimore MD: The John Hopkins University Press : World Bank [in English].
9. Semenov, V. (2008). Ekonomiko-statystychni modeli ta metody doslidzhennya sotsial’nykh protsesiv: nerivnist’, bidnist’, polyaryzatsiya [Economic and statistical models and methods of social processes: inequality, poverty, polarization]. Poltava: RVVPUSKU [in Ukrainian].
10. Hvelesiani, A. (2009). Otsinka struktury hroshovykh dokhodiv naselennya Ukrayiny metodom dekompozytsiyi koefitsiyenta Dzhyni [Assessment of cash income Ukraine by decomposition of the Gini coefficient]. Demohrafiia ta sotsialna ekonomika - Demography and social economy, 2, 153-161 [in Ukrainian]. doi: https://doi.org/10.15407/dse2009.02.153
11. Vytraty i resursy domohospodarstv Ukrayiny (za danymy vybirkovoho obstezhennya zhyttya domohospodarstv Ukrayiny) [The costs and resources of households in Ukraine (according to sampling household budget of Ukraine)]. (2011-2014). State Statistics Service of Ukraine. Retrieved from http://ukrstat.gov.ua/ [in Ukrainian].
12. Income and living condition (2012-2015). European Commission. Eurostat. Retrieved from http://ec.europa.eu/eurostat/data/database [in English].
13. Tendentsiyi tin’ovoyi ekonomiky v Ukrayini I kvartal 2015 roku: Zvit Ministerstva ekonomichnoho rozvytku i torhivli Ukrayiny [Trends shadow economy in Ukraine the first quarter of 2015. Statement of the Ministry of Economic Development and Trade of Ukraine] (2015). Ministry of Economic Development and Trade of Ukraine. Retrieved from http://www.niss.gov.ua [in Ukrainian].
14. Schneider, F. (2015). Size and Development of the Shadow Economy of 31 European and 5 other OECD Countries from 2003 to 2015: Different Developments. Retrieved from http://www.econ.jku.at/members/Schneider/files/publications/2015/ShadEcEurope31.pdf [in English].
15. Tokhtarova, V. (2011). Dohodyi naseleniya: uroven, struktura i differentsiatsiya [Income of the population: the level, structure and differentiation]. Demohrafiia ta sotsialna ekonomika - Demography and social economy, 2, 166-175. doi: https://doi.org/10.15407/dse2011.02.166 [in Russian].
16. Samootsinka domohospodarstvamy Ukrayiny rivnya svoyikh dokhodiv [Ukraine households self-perceived of their income]. (2015). State Statistics Service of Ukraine [in Ukrainian].
» pdf