+7 925 966 4690, 9am6pm (GMT+3), Monday – Friday
ИД «Финансы и кредит»

JOURNALS

  

FOR AUTHORS

  

SUBSCRIBE

    
National Interests: Priorities and Security
 

Differentiating the Russian regions through an econometric analysis by socio-economic indicators influencing the consumer demand

Vol. 13, Iss. 12, DECEMBER 2017

PDF  Article PDF Version

Received: 13 September 2017

Received in revised form: 6 October 2017

Accepted: 23 October 2017

Available online: 22 December 2017

Subject Heading: SUSTAINABLE DEVELOPMENT OF ECONOMY

JEL Classification: С10, C80, E42, O18

Pages: 2200–2217

https://doi.org/10.24891/ni.13.12.2200

Pakhomov A.V. NPK Dedal (Rosatom State Corporation Company), Dubna, Moscow Oblast, Russian Federation
pakhomov_av@dedal.ru

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

Rozhkova O.V. Dubna State University, Dubna, Moscow Oblast, Russian Federation
olga_r2006@mail.ru

Importance The article focuses on a correlation between regional socio-economic indicators and amount of various retail loans, gross portfolio of which represents one of the institutional determinants of consumer demand. We review a spectrum of characteristics for finding the best forms to interact and coordinate interests of the State, real economy, banking and the public in socio-economic transformations.
Objectives The regions are differentiated by aspect influencing retail lending.
Methods The research is performed in two steps. First, socio-economic indicators are checked. Second, the regions are differentiated on the basis of the analyzable socioeconomic indicators using cluster analysis methods.
Results Classifications based on different indicators and methods may lead to similar and even approximate results. However, as an in-depth analysis of items within the same population (cluster) shows, substantial discrepancies may arise from one or several factors, thus proving that they shall be attributed to different groups. The substantive interpretation of regions' similarities and differences helps adjust the outcome, consider the specifics of each subject and create conditions for making informed decisions on governance of vast territories.
Conclusions and Relevance The research may become a substantive and instrumental underpinning for further recommendations for federal and regional authorities to address consumer demand issues and assess its effect on the development of economic systems at different levels.

Keywords: socio-economic indicator, consumer demand, correlation and regression analysis, structural equation, cluster analysis

References:

  1. Ando A., Modigliani F. The Life Cycle Hypothesis of Saving: Aggregate Implications and Tests. American Economic Review, 1963, vol. 53, no. 1, pp. 55–84.
  2. Saakova Yu.V. Razvitie i sovershenstvovanie potrebitel'skogo kreditovaniya pri osuschestvlenii bankovskoi deyatel'nosti: monografiya [Development and improvement of consumer lending as part of banking activities: a monograph]. Moscow, Nauka i obrazovanie Publ., 2016, 173 p.
  3. Mokeeva N.N., Kharina P.A. [Consumer lending in modern Russia: Trends and Expectations]. Mezhdunarodnyi zhurnal eksperimental'nogo obrazovaniya = International Journal of Experimental Education, 2014, no. 5-2, pp. 115–117. (In Russ.)
  4. Veselova D.E., Pakhomova E.A. [The development of the housing in Russia and an econometric analysis of the flat market in Moscow]. Ekonomika i matematicheskie metody = Economics and Mathematical Methods, 2001, vol. 37, no. 2, pp. 38–43. (In Russ.)
  5. Zubarevich N.V. Regiony Rossii: neravenstvo, krizis, modernizatsiya [Regions of Russia: Inequality, crisis, modernization]. Moscow, Independent Institute for Social Policy Publ., 2010, 160 p.
  6. Chemezova E.Yu. [Statistical methods in the solution of the applied problems of the development of territory]. Vestnik NGUEU = Vestnik NSUEM, 2013, no. 4, pp. 153–165. (In Russ.)
  7. Tarasova O.B. [Study into the socio-economic development of agricultural territories through a cluster analysis]. Mezhdunarodnyi sel'skokhozyaistvennyi zhurnal = International Agricultural Journal, 2013, no. 2, pp. 47–50. (In Russ.)
  8. Klassifikatsiya i klaster [Classification and Clustering]. Moscow, Mir Publ., 1980, 389 p.
  9. Pakhomova E.A. Metodologicheskie osnovy otsenki vliyaniya vuza na effektivnost' regional'nogo razvitiya [Methodological principles for evaluating the university's impact on the efficiency of regional development]. Moscow, MEILER Publ., 2010, 725 p.
  10. Zadorozhneva Yu.V., Kalinina A.E. [Multifactor assessment of efficiency realization socio‑economic policy of region]. Sovremennye problemy nauki i obrazovaniya, 2012, no. 4, pp. 86–89. URL: Link (In Russ.)
  11. Treshchevskii D.Yu. [The cluster approach to the analysis of the innovative development of regions of Russia]. Region: sistemy, ekonomika, upravlenie = Region: Systems, Economics, Management, 2011, no. 1, pp. 37–47. (In Russ.)
  12. Guzairov M.B., Degtyareva I.V., Makarova E.A. [Regional population expenditure for foodstuffs in the Russian Federation: Componental and cluster analyses]. Ekonomika regiona = Economy of Region, 2015, no. 4, pp. 145–157. (In Russ.) URL: Link
  13. Ryumina E.V., Anikina A.M. [Analyzing the effect of the natural resource factor on the economic development level of the Russian regions]. Problemy prognozirovaniya = Problems of Forecasting, 2007, no. 5, pp. 106–125. (In Russ.)
  14. Kovanova E.S. [Cluster analysis in handling the problem of typology of regions of Russia by level and intensity of internal labor migration]. Vestnik NGUEU = Vestnik NSUEM, 2013, no. 4, pp. 166–175. (In Russ.)

View all articles of issue

 

ISSN 2311-875X (Online)
ISSN 2073-2872 (Print)

Journal current issue

Vol. 20, Iss. 3
March 2024

Archive