Regional Economics: Theory and Practice
 

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A comprehensive analysis of the socio-economic situation of municipal districts on the basis of economic-mathematical tools: Evidence from the Moscow Oblast

Vol. 17, Iss. 7, JULY 2019

Received: 29 April 2016

Received in revised form: 26 May 2016

Accepted: 30 June 2016

Available online: 15 July 2019

Subject Heading: SUSTAINABLE DEVELOPMENT OF REGIONS

JEL Classification: C3, С38, O18, R11

Pages: 1298–1315

https://doi.org/10.24891/re.17.7.1298

Pakhomova E.A. Dubna State University, Dubna, Moscow Oblast, Russian Federation
uni-dubna@mail.ru

ORCID id: not available

Kharcheva K.S. Dubna State University, Dubna, Moscow Oblast, Russian Federation
kharcheva562@gmail.com

ORCID id: not available

Sharkova T.S. Dubna State University, Dubna, Moscow Oblast, Russian Federation
sharkovat1994@gmail.com

ORCID id: not available

Subject The article deals with the issues of regional social and economic development.
Objectives The paper aims to perform a comprehensive analysis of the socio-economic situation of the municipal districts of the Moscow oblast to objectively assess the socio-economic condition of the oblast's substructures, i.e. the municipal districts of North-Western and South-Eastern parts of the Moscow oblast, and verify the results obtained for the Moscow oblast as a whole.
Methods For the research, we used the methods of factorial and cluster analyses, i.e. single-linkage clustering criterion and Ward's minimum variance method.
Results The data obtained using factor and cluster analyses, prove to be consistent, that testifies to their sustainability. The clustering of a large-scale integrated object is virtually identical with the clustering in parts.
Conclusions and Relevance The paper concludes about the consistency of the results of applying the various techniques. The results obtained can be used in practice by the administrations of municipalities to arrive at decisions on the development of the territories. Moreover, they can serve as the basis for the development of research techniques to assess staffing needs at the regional level.

Keywords: region, municipal district, socio-economic indicators, cluster analysis, factor analysis

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