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ASSESSMENT OF ENVIRONMENTAL WELL-BEING IN LARGE CITIES: CASE OF VOLGA FEDERAL DISTRICT IN RUSSIA

Ruslan Sadyrtdinov, D. Rodnyansky, E. Nekrasova, V. Kolesnikov

First published: 2018https://doi.org/10.5593/sgemsocial2018/1.3/S04.061View metrics

Abstract

In this paper authors present the assessment of ecological well-being in large Russian cities, situated in the Volga Federal District. Comparative analysis is made for five cities of the Volga Federal District of the Russian Federation for the period 2008-2015, based on data published annually by the Federal Service for State Statistics of the Russian Federation, namely the statistical yearbooks “Regions of Russia. Main socio-economic indicators of cities”. To assess the ecological well-being of inhabitants, statistical data is standardized by introducing normalized indices. The procedure of normalization is reduced to two formulas in different cases: direct (positive) and backward (negative) exponents. Further, the integral index of the ecological well-being of the population is calculated according to normalized ecological indicators. Results show that the worst situation is in city Kazan and city Ufa. Perhaps it is due to the large number of industry in these cities. Both cities are the outsiders in ecological well-being among the cities with population more than one million inhabitants in the Volga Federal District. The best ecological indicators were in city Perm for the 2008-2015 years. City Samara and city Nizhny Novgorod occupy the middle positions for both ecological indicators.

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Publication details

Title
ASSESSMENT OF ENVIRONMENTAL WELL-BEING IN LARGE CITIES: CASE OF VOLGA FEDERAL DISTRICT IN RUSSIA
Authors
Ruslan Sadyrtdinov, D. Rodnyansky, E. Nekrasova, V. Kolesnikov
Proceedings
5th International Multidisciplinary Scientific Conference on Social Sciences and Arts SGEM 2018
Publisher
STEF92 Technology
Year
2018
Pages
499-506
SWS Citekey
Sadyrtdinov20184499506
ISSN
2367-5659
ISBN
978-619-7408-63-8
Language
en
Publication type
Proceedings Paper
Keywords
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