Well-Being Indices Comparative Analysis: Russia And Foreign Countries
Abstract
Using the OECD’s data, we study well-being indices comparison main areas for Russia and economically developed countries. The tendency of unleading countries to find mechanisms of economic growth by the welfare various aspects impact is noted. We used the method of complex efficiency estimation to solve the problem of economic well-being analysis. We assessed the effectiveness and optimality of economic well-being of the population. The effectiveness assessment of economic well-being in Russia revealed a significant gap from foreign countries by most indices. The optimality assessment of economic well-being did not reveal any major differences in values between men and women both in Russia and in foreign countries, but allowed to establish a greater gap between the values of indicators of leading and lagging groups in Russia than in other countries. Indicators ratio of lagging groups in Russia with foreign countries was worse than the ratio of indicators at the entire population level. The results of the economic well-being analysis are advisable to consider in the process of state regulation in Russia. State support of social services should be a priority of social and economic policy on the federal and regional authorities. Our analysis justifies the recommendation to reduce the gap between rich and poor groups of Russias population by using various regulatory tools, including a progressive scale for a number of taxes.
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About this article
Publication Date
20 February 2016
Article Doi
eBook ISBN
978-1-80296-006-8
Publisher
Future Academy
Volume
7
Print ISBN (optional)
-
Edition Number
1st Edition
Pages
1-513
Subjects
Social welfare, social services, personal health, public health
Cite this article as:
Spitsina, L., Spitsin, V., & Shashkova, A. (2016). Well-Being Indices Comparative Analysis: Russia And Foreign Countries. In F. Casati (Ed.), Lifelong Wellbeing in the World - WELLSO 2015, vol 7. European Proceedings of Social and Behavioural Sciences (pp. 448-455). Future Academy. https://doi.org/10.15405/epsbs.2016.02.57