THE IMPACT OF ECONOMIC, DEMOGRAPHIC, AND INFRASTRUCTURAL FACTORS ON INCOME INEQUALITY AND POVERTY IN RUSSIA

Authors

  • Rogneda Groznykh Graduate School of Economics and Management, Russian Federation
  • Elena Ignatieva The Ural Branch of Russian Academy of Sciences, Russian Federation
  • Oleg Mariev Ural Federal University, and The Ural Branch of the Russian Academy of Sciences, Russian Federation
  • Alla Serkova Ural Federal University, and The Ural Branch of the Russian Academy of Sciences, Russian Federation

DOI:

https://doi.org/10.12955/peb.v1.21

Keywords:

Poverty, Distribution of the Incomes, Policy Measurements

Abstract

The prime objective of the research is to examine the factors influencing both the alteration in the income distribution and the relative change in the incidence of poverty in the regions of Russia. The list of the identified factors/determinants includes economic, demographic, and infrastructural factors. An econometric model, indicating the relationship between the explanatory variables with both the income inequality index and the relative poverty proportions in Russian regions has been provided in this article. The determinants that cause variations in the income inequality and poverty of a country such as social mobility, average life expectancy of urban women, life expectancy of rural men, the number of university graduates, etc. have also been specified in this study. The analysis was executed based on a dataset of 72 Russian regions for the period between 2012-2017.

Author Biographies

Rogneda Groznykh, Graduate School of Economics and Management, Russian Federation

Graduate School of Economics and Management, Ural Federal University, Ekaterinburg, Russian Federation

Elena Ignatieva, The Ural Branch of Russian Academy of Sciences, Russian Federation

The Ural Branch of Russian Academy of Sciences, Ekaterinburg, Russian Federation

Oleg Mariev, Ural Federal University, and The Ural Branch of the Russian Academy of Sciences, Russian Federation

Ural Federal University, Graduate School of Economics and Management, Department of Econometrics and Statistics, Ekaterinburg, Russian Federation

Institute of Economics, The Ural Branch of the Russian Academy of Sciences, Ekaterinburg, Russian Federation

Alla Serkova, Ural Federal University, and The Ural Branch of the Russian Academy of Sciences, Russian Federation

Ural Federal University, Graduate School of Economics and Management, Department of Econometrics and Statistics, Ekaterinburg, Russian Federation

Institute of Economics, The Ural Branch of the Russian Academy of Sciences, Ekaterinburg, Russian Federation

References

Ahluwalia, M. (1976). Inequality, Poverty and Development. Journal of Development Economics, vol. 3 (4), p. 307-342.

Bigsten, A., Levin, J. (2001). Growth, Income Distribution, and Poverty: A Review. WIDER Discussion Paper (UNU), no. 2001/129, р. 25.

Blau, F., Kahn, L. (1996), International Differences in Male Wage Inequality: Institutions Versus Market Forces. Journal of Political Economy. № 104(4), pp. 791-837.

Bogdan, O., Tudorel, A. (2017). Income inequality in Romania: The exponential-Pareto distribution. Physica A: Statistical Mechanics and its Applications. Volume 469, pp. 486-498.

Castelló-Climent, A. (2010). Inequality and Growth in Advanced Economies: An Empirical Investigation. Journal of Economic Inequality. Springer, vol. 8(3), pages 293-321.

Chen, J., Si, Y., Li, F., Zhao, A. (2014). An Analysis of Relationship among Income Inequality, Poverty, and Income Mobility, Based on Distribution Functions. Hindawi Publishing Corporation. pp. 21-31.

Cristiano, P., Gaetano, M. (2008). Income Inequality Within European Regions: Determinants and Effects on Growth. Review of Income and Wealth Series, 54(3).

Emwanu, T., Kanyerezi Bwoogi, J., Muwonge, J. (1995). Data Collection Problems in Measuring Poverty Levels. Statistics Department, Ministry of Finance and Planning.

Ferreira, F., Gignoux, J. (2011). The Measurement of Inequality of Opportunity: Theory and an Application to Latin America. Review of Income and Wealth. Vol. 57(4), pp. 622–657.

Grootaert, C. (1994). Poverty and Basic Needs Fulfillment in Africa During Structural Change: Evidence from Cete d'Ivoire. World Development. Vol. 22(10), рр. 1521-34.

Guvenen, S., Kaplan, Song, J. (2014). How Risky Are Recessions for Top Earners? The American Economic Review. Papers & Proceedings. Vol. 104(5), pp. 148-153.

Halvarsson, D., Korpib, M., Wennberg, K. (2017). Entrepreneurship and Income Inequality. CrossMark. Volume 145, pp. 275-293.

Hertz, T., Jayasundera, T., Piraino, P., Selcuk, S., Smith, N., Verashchagina, A. (2007) The Inheritance of Educational Inequality: International Comparisons and Fifty-Year Trends. The B.E. Journal of Economic Analysis and Policy. Vol. 7(2)., рр. 1–46.

Jagielski, M., Duczmal R., Kutner, R. (2015). Income distribution in the European Union versus in the United States. Physic A: Statistical Mechanics and its Applications. Volume 433, pp. 36-41.

Martin, J. (2014). Activation and Active Labour Market Policies in OECD Countries: Stylized Facts and Evidence on their Effectiveness. IZA Policy paper. No.84.

Oancea, B., Tudorel, A., Pirjol, D. (2017). Income inequality in Romania: The exponential-Pareto distribution. Physica A: Statistical Mechanics and its Applications. 469. 486–498. Doi: 10.1016/j.physa.2016.11.094.

Perron, P. (1988). Trends and random walks in macroeconomic time series: Further evidence from a new approach. Journal of Economic Dynamics and Control. Vol. 12, pp. 297–332.

Townsend, P. (1993). The International Analysis of Poverty. New York: Harvester Wheatsceaf.

Wood, A. (1995). How Trade Hurts Unskilled Workers. Journal of Economic Perspectives. Vol. 9(3), pp. 57-80.

Downloads

Published

2020-11-16

How to Cite

Groznykh, R. ., Ignatieva, E. ., Mariev, O. ., & Serkova, A. . (2020). THE IMPACT OF ECONOMIC, DEMOGRAPHIC, AND INFRASTRUCTURAL FACTORS ON INCOME INEQUALITY AND POVERTY IN RUSSIA. Proceedings of CBU in Economics and Business, 1, 70-75. https://doi.org/10.12955/peb.v1.21