Pension and income in Russia: Regional differences and affecting factors

Marina Ryzhkova, Vladislav Spitsin, Aleksandr Mikhalchuk, Lubov Spitsina, Mikhail Shinkeev

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Citations (Scopus)

Abstract

The paper is focused on the differentiation of pensions and income of the elderly at the local level (rayons of the Tomsk region). We used the federal and regional statistics data and panel data of the older generation in the Tomsk region and applied methods of statistical analysis, including variance analysis and regressions. The research revealed a statistically significant difference in pension provision between rayons (77%) which is much higher than between regions. Regression analysis showed a strong statistically significant correlation between the level of wages and pensions size in rayons of Tomsk region. The study of retirement income based on the panel data of Tomsk region reveals a statistically significant difference in average income level by territory. In particular, a significantly higher amount of retirement payments was found in the territories where large industrial production was located. At the same time, the analysis of income and pensions on rayons' level does not bring to light urban/rural differences, which are observed at the level of Russia. We suspect that differences for cities and villages in Tomsk region are more complex and such factors as salary level, mining of oil and gas, northern regional coefficient and wage rise for arduous working conditions might be helpful in explanation of these discrepancies. The results of our study may be used to improve public care and social support for pensioners at the local level analysis in Russia.

Original languageEnglish
Title of host publicationProceedings of the 28th International Business Information Management Association Conference - Vision 2020
Subtitle of host publicationInnovation Management, Development Sustainability, and Competitive Economic Growth
EditorsKhalid S. Soliman
PublisherInternational Business Information Management Association, IBIMA
Pages433-442
Number of pages10
ISBN (Electronic)9780986041983
Publication statusPublished - 2016
Event28th International Business Information Management Association Conference - Vision 2020: Innovation Management, Development Sustainability, and Competitive Economic Growth - Seville, Spain
Duration: 9 Nov 201610 Nov 2016

Publication series

NameProceedings of the 28th International Business Information Management Association Conference - Vision 2020: Innovation Management, Development Sustainability, and Competitive Economic Growth

Conference

Conference28th International Business Information Management Association Conference - Vision 2020: Innovation Management, Development Sustainability, and Competitive Economic Growth
CountrySpain
CitySeville
Period9.11.1610.11.16

Keywords

  • Correlation and various analyses
  • Elderly population
  • Pension
  • Rural area
  • Salary
  • Tomsk region
  • Urban area

ASJC Scopus subject areas

  • Management Information Systems
  • Information Systems and Management

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