Sources of Income as a Factor of Interregional Social Economic Differentiation of the Russian Population (1995 â€šÃ„Ã¬ 2007 years)
The principal results of the statistical and econometrical studying of dynamics and factors of income inequality across the regions of The Russian Federation (RF) during 1995 â€šÃ„Ã¬ 2007 years have been presented at the paper. The objects of investigation have been the 79 subjects of RF. They have been described by variables: (a) population; (b) income per capita (at average for all population, living at the subject); (c) structure of income: the share of total income, obtained at average of all people in subjects, by five sources (their sum is equal to 100%): (1) business (enterprise) activity; (2) wages (salaries); (3) social transfers; (4) property; (5) other incomes. As the first step of â€šÃ„Ãºspace â€šÃ„Ã¬ timeâ€šÃ„Ã¹ analysis dynamics and differentiation of seven named above indicators have been studied. The same initial indicators let us to estimate Total Monetary Income (TMI) and its five component TMI(k), k=1, . . .,5 for each from 79 regions of RF. The spatial distributions of new six variables and their evolution from beginning of transition up to crisis have been considered at the second step of investigation. The GINI and FUND coefficients have been calculated for TMI and for its five components. The subjects of TMI concentration have been determined by comparative level-dynamic analysis of these indicators. The same has been done for TMI(k) from five sources. It could say that practically each region of RF has had the different way of social â€šÃ„Ã¬ economic development. GINI decomposition by five sources of income, presented GINI as a linear combination of income structure and the Coefficients of Concentration, has been the next step of investigation. The results of decomposition indicated clear that two sources of income â€šÃ„Ã¬ (4) â€šÃ„Ãºpropertiesâ€šÃ„Ã¹ and (5) â€šÃ„Ãºother incomesâ€šÃ„Ã¹ have been the main factors of interregional income inequality. There are â€šÃ„Ãºshort listsâ€šÃ„Ã¹ of subjects of RF, where the incomes from these two sources have been concentrated. The Decomposition method let us to discuss the different aspects of income inequality and make the emphasis at institutional factors of population economic activities and income redistribution.
|Date of creation:||Sep 2011|
|Date of revision:|
|Contact details of provider:|| Postal: Welthandelsplatz 1, 1020 Vienna, Austria|
Web page: http://www.ersa.org
Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:
- Dhongde, Shatakshee, 2004.
"Decomposing Spatial Differences in Poverty in India,"
Working Paper Series
UNU-WIDER Research Paper , World Institute for Development Economic Research (UNU-WIDER).
- Shatakshee Dhongde, 2010. "Decomposing Spatial Differences in Poverty in India," Working Papers id:3267, eSocialSciences.
- Murshed, S. Mansoob & Gates, Scott, 2004. "Spatial Horizontal Inequality and the Maoist Insurgency in Nepal," Working Paper Series UNU-WIDER Research Paper , World Institute for Development Economic Research (UNU-WIDER).
- Louis Kaplow, 2002.
"Why Measure Inequality?,"
NBER Working Papers
9342, National Bureau of Economic Research, Inc.
- Anderson, Kathryn & Pomfret, Richard, 2004. "Spatial Inequality and Development in Central Asia," Working Paper Series UNU-WIDER Research Paper , World Institute for Development Economic Research (UNU-WIDER).
When requesting a correction, please mention this item's handle: RePEc:wiw:wiwrsa:ersa10p378. See general information about how to correct material in RePEc.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Gunther Maier)
If references are entirely missing, you can add them using this form.