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Assessing Public Sector Performance in Regions of the Russian Federation

Datos Bibliográficos

ID21219384
AutoresO V Tarasova, О В Тарасова (0000-0003-3523-7641, Russian Academy of Sciences, autor de correspondencia), Snezhana V Sedipkova (0000-0001-7591-8340, Russian Academy of Sciences, autor de correspondencia)
Año2024
Volumen14
Número2
Páginas296-305
Fecha de publicación2024-06-01
Open AccessSí
TipoARTICLE
RevistaRegional Research of Russia (JOURNAL)
Identificadores de la revistaISSN: 2079-9713 • E-ISSN: 2079-9705
EditorialPleiades Publishing Ltd (PUBLISHER)
DOI10.1134/s2079970524600185
OpenAlexW4399874468
IdiomaEN
Referencias citadas14

In connection with the growing spatial unevenness of socioeconomic development in Russia, empirical assessments of the activities of the public sector at the regional level are of scientific interest. Russia is a federal state in which all subjects have equal status; therefore, it is assumed that the state should strive to perform its functions equally throughout the country. A review of research into the activities of the public sector showed a lack of studies on its comprehensive assessment using Russian data at a regional level, which determined the aim of this study. The proposed assessment methodology is based on construction of a composite index of 74 indicators of socioeconomic development of regions for 2011–2020, in the formation of which the public sector plays a significant role. The PSP (Public Sector Performance) assessment methodology was modified by the authors by increasing the number of indicators considered and changing the standardization method, taking into account the characteristics of the data set. A procedure was also applied for assigning various weights to indicators through expert assessment of the state’s influence on them. A composite PSP index by region and subindices for eight blocks were calculated: Transport Infrastructure; Healthcare; Education, Science and Innovation; Sports and Culture; Social support; Safety; Ecology; and Economic Development. The Gini coefficient indicates low differentiation of PSP in Russian regions, although the leaders of the final ranking are Moscow and St. Petersburg by a significant margin. The gap behind the leaders is more pronounced in the first three blocks. Authorities can use the results to identify weaknesses of regions, and sectoral spatial gaps; to develop directions for correcting government programs; and to determine the pool of interregional interactions in order to transfer the best administrative cases, projects, and practices from leading regions in the corresponding areas

Business · Economic policy · Economics · Economy · Geography · Political science · Public sector · Regional science · Russian federation · Economic and Technological Developments in Russia · Regional Socio-Economic Development Trends · Socioeconomic and Demographic Analysis

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