2017
DOI: 10.1016/j.ruje.2017.09.003
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Assessment of gross urban product in Russian cities and its contribution to Russian GDP in 2000–2015

Abstract: The article presents a new methodology for estimating gross urban product (the gross domestic product by city or metropolitan level) in Russia under extremely low statistical data availability about economy performance at the local level. These estimates provide new analytical instruments for assessing disparities in economic development between more than 1,000 Russian cities and other areas, and cities' contributions to GDP as well as for comparing indicators of Russian cities with those of foreign countries.

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Cited by 9 publications
(4 citation statements)
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“…Samara is on the Russian Federation largest cities' list, which has powerful internal resources, developed infrastructure and high socio-economic development key indicators (Kosareva & Polidi, 2017).…”
Section: Resultsmentioning
confidence: 99%
“…Samara is on the Russian Federation largest cities' list, which has powerful internal resources, developed infrastructure and high socio-economic development key indicators (Kosareva & Polidi, 2017).…”
Section: Resultsmentioning
confidence: 99%
“…However, in practice, such indicator is not available from official statistics, although a number of scientists have attempted to calculate it (e.g. see [1]). Therefore, we believe it possible to determine the economic specialization of a city by calculating the specialization ratio.…”
Section: Materials and Methods (Model)mentioning
confidence: 99%
“…Therefore, we believe it possible to determine the economic specialization of a city by calculating the specialization ratio. To do this, we use the following formula: C ir = a ir / a r (1) where C ir is the specialization ratio; a ir is the proportion of the number of city employees r in a region by type of economic activity i; a r is the proportion of the number of city employees r in a region for all types of economic activity.…”
Section: Materials and Methods (Model)mentioning
confidence: 99%
“…These territories have higher economic and resource potential. Over the past decade, the contri bution of these cities to Russia's GDP has been 30-32 % [1]. In such cities, the demand for spatial changes is supported by financial opportunities to implement these changes.…”
Section: Introductionmentioning
confidence: 99%