ASSESSMENT OF REGIONAL MORTGAGE INEQUALITY: COMPARATIVE ANALYSIS OF METHODS AND RESULTS

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Abstract

The article focuses on the study of the problems of assessing regional mortgage inequality in the Russian Federation. Based on an analysis of the experience of Russian and foreign economists and regionalists in the field of spatial inequality, possible approaches to assessing the disproportions in the regional mortgage market development are investigated. Calculations were carried out using the differentiation coefficient for extreme values of regions, fund coefficient for extreme groups of regions, log-normal distribution according to the 90/10 method, variation coefficient, Lorentz concentration coefficient and Gini index, Theil coefficient, as well as a differential indicator (author's development) of the development level of the housing mortgage lending system (HML) in the region and some other indicators. An economic interpretation of the calculation results is given. The significant variability of the various methods of estimation results is shown. On the basis of a comparative analysis of the approaches and their results, a substantiated method for assessing regional mortgage inequality was carried out. Statistical methods, including multivariate analysis, as well as expert assessment, were used as the methodological base of scientific research. The theoretical and practical significance of the study lies in substantiating the expediency of using the differential indicator proposed by the authors, characterizing the development level of the HML system in specific regions, to solve the problems of assessing the mortgage inequality of Russian subjects.

About the authors

Tatyana S. Korosteleva

Samara National Research University

Author for correspondence.
Email: korosteleva75@mail.ru

сandidate of Economic Sciences, assisstant professor of the Department of Management and Organization of Production

Russian Federation

Vladimir Y. Tselin

Samara National Research University

Email: vtzelin@mail.ru

сandidate of Economic Sciences, assisstant professor of the Department of Management and Organization of Production

Russian Federation

References

  1. Making Affordable Housing a Reality in Cities. Insight Report. World Economic Forum–2019. Available at: http://www3.weforum.org/docs/WEF_Making_Affordable_Housing_A_Reality_In_Cities_report.pdf.
  2. Baranov S.V., Skufina T.P. New techniques and results of research of inter-regional differentiation on the basis of the principal components method. Vestnik of MSTU, 2008, vol. 11, no. 2, pp. 201–210. Available at: https://cyberleninka.ru/article/n/novye-metodiki-i-rezultaty-issledovaniya-mezhregionalnoy-differentsiatsii-na-osnove-metoda-glavnyh-komponent. (In Russ.)
  3. Vertakova Yu.V. Summary index of state to the economy of region in system of indicators of a sustainable development. Economics and Management, 2011, no. 11 (73), pp. 72–77. Available at: https://cyberleninka.ru/article/n/svodnyy-indeks-sostoyaniya-ekonomiki-regiona-v-sisteme-indikatorov-ustoychivogo-razvitiya. (In Russ.)
  4. Girina A.N. Assessment methodology for socio-economic development of the region. Vestnik of the Orenburg State University, 2013, no. 8 (157), pp. 82–87. Available at: https://cyberleninka.ru/article/n/metodika-otsenki-sotsialno-ekonomicheskogo-razvitiya-regiona. (In Russ.)
  5. Ivanova N.V. Methodology for assessing the spatial differentiation of the economy of Russian regions. Ekonomika. Nalogi. Pravo = Economics, taxes & law, 2013, no. 6, pp. 63–70. Available at: https://cyberleninka.ru/article/n/metodika-otsenki-prostranstvennoy-differentsiatsii-ekonomiki-regionov-rossii. (In Russ.)
  6. Lavrenyuk K.I., Rakhmanova M.S., Solodukhin K.S. VRIO-based model for assessment of a region’s competitive potential: a case study of Kamchatka region. Modern problems of science and education, 2014, no. 6, p. 571. Available at: https://science-education.ru/pdf/2014/6/1208.pdf; https://www.elibrary.ru/item.asp?id=22877754. (In Russ.)
  7. Nizhegorodtsev R.M., Piskun E.I., Kudrevich V.V. The forecasting of regional social and economic development. Economy of Region, 2017, vol. 13, no. 1, pp. 38–48. DOI: http://doi.org/10.17059/2017-1-4.
  8. (In Russ.)
  9. Skotarenko O.V. New methods for assessing the level of socio-economic development of Russian regions. Vestnik of MSTU, 2012, vol. 15, no. 1, pp. 220–229. Available at: https://www.elibrary.ru/item.asp?id=20502046. (In Russ.)
  10. Shabunova A.A., Gruzdeva M.A. Development of the regions of the Russian Federation: integral technique as an evaluation tool. Regional Economics: Theory and Practice, 2016, no. 1 (424), pp. 100–112. Available at: https://cyberleninka.ru/article/n/razvitie-regionov-rossiyskoy-federatsii-integralnaya-metodika-kak-instrument-otsenki. (In Russ.)
  11. Berloffa G., Modena F. Economic well-being in Italy: The role of income insecurity and intergenerational inequality. Journal of Economic Behavior & Organization, 2012, vol. 81, issue 3, pp. 751–765, pp. 751–765. DOI: http://doi.org/10.1016/j.jebo.2010.12.022.
  12. Bertin G., Carrino L., Giove S. The Italian Regional Well-Being in a Multi-expert Nonadditive Perspective. Social Indicators Research, 2016, vol. 135 (1), pp. 15–51. DOI: http://doi.org/10.1007/s11205-016-1475-2.
  13. Bronisz U., Heijman W., Miszczuk A. Regional competitiveness in Poland: Creating an index. Jahrbuch für Regionalwissenschaft, 2008, vol. 28, nu. 2, S. 133–143. DOI: http://doi.org/10.1007/s10037-008-0026-y.
  14. Crescenzi R. Undermining the principle of concentration?: European Union regional policy and the socio-economic disadvantage of European regions. Regional Studies, 2009, vol. 43, no. 1, pp. 111–133. DOI: http://doi.org/10.1080/00343400801932276.
  15. Cui H. The Differentiation Analysis of Rural Resident Consumption in Four Economic Plate in China Based on Panel Data Model. Proceedings of the 2009 First International Workshop on Database Technology and Applications, April 2009, pp. 597–601. DOI: http://doi.org/10.1109/DBTA.2009.55.
  16. Murias P., Novello S., Martinez F. The Regions of Economic Well-being in Italy and Spain. Regional Studies, 2012, vol. 46, no. 6, pp. 793–816. DOI: https://doi.org/10.1080/00343404.2010.504702.
  17. Seguino S. All Types of Inequality Are Not Created Equal: Divergent Impacts of Equality on Economic Growth. SSRN Electronic Journal, 2005/08/01. DOI: http://doi.org/10.2139/ssrn.875382.
  18. Žítek V., Klímová V. The Competitiveness Index of Czech Regions. Acta Universitatis Agriculturae et Silviculturae Mendelianae Brunensis, Mendelova Univerzita v Brne, 2015, vol. 63, no. 2, pp. 693–701. DOI: http://dx.doi.org/10.11118/actaun201563020693.
  19. Zolotaryuk A.V., Yakovleva A.D. Calculation of the Gini coefficient using MS Excel In: Shirokov O.N. [et al.] (Eds.) Science, education, society: tendencies and prospects of development: materials of the
  20. III International research and practical conference. (Cheboksary, December 11, : in 2 vols. Vol. 1. Cheboksary: TsNS «Interaktiv plius», 2016, pp. 316–319. Available at: https://www.elibrary.ru/item.asp?id=27699292. (In Russ.)
  21. Zubarevich N.V. Regions of Russia: inequality, crisis, modernization. Moscow: Nezavisimyi institut sotsial'noi politiki, 2010, 160 p. (In Russ.)
  22. Cowell F. A. Measurement of inequality. Vol. 1. Handbook of Income Distribution. Elsevier, 2000, pp. 87–166.
  23. Vaskevich T.V. Determinants of regional mortgage potential: the analysis and an estimation. Management of economic system, 2013, no. 8 (56), pp. 1–6. Available at: http://uecs.ru/marketing/item/2275-2013-08-07-09-07-54. (In Russ.)
  24. Grezina M.A. Economic-mathematical methods for acceptance of administrative decisions in mortgage lending sphere. Izvestiya SFedU. Engineering Sciences, 2011, no. 11 (124), pp. 51–60. Available at: https://www.elibrary.ru/item.asp?id=17050374. (In Russ.)
  25. Gritsenko T.S., Peredera Zh.S., Teryaeva A.S. Identification of morgage lending development level in regions through cluster analysis and integrated assessment. Naukovedenie, 2017, vol. 9, no. 3, pp. 51–60. Available at: https://naukovedenie.ru/PDF/28EVN317.pdf. (In Russ.)
  26. Ivashkov A.O. The Potential of Russian Regions in Mortgage Lending. Russian Business. Russian Journal of Entrepreneurship, 2011, vol. 12, no. 8, pp. 98–103. Available at: https://creativeconomy.ru/lib/7029. (In Russ.)
  27. Savrukov A.N. Methodology for assessing the potential of housing mortgage lending in the region. Regional Economics: Theory and Practice, 2012, no. 8, pp. 33–43. Available at: https://www.elibrary.ru/item.asp?id=17317929. (In Russ.)
  28. Aranaz M.F., Marquez J.A. Identifying Regional Differences in the Spanish Mortgage Market with Sheaf Methodology. Esic Market Economics and Business Journal, 2013, vol. 44, issue 3, pp. 159–177. DOI: http://doi.org/10.7200/esicm.146.0443.4i.
  29. Kutlukaya M., Erol I. Analysis of cross-country variations in the depth of European mortgage markets. Journal of Housing and the Built Environment, 2016, 31 (3), pp. 513–543. Available at: http://link.springer.com/article/10.1007/s10901-015-9473-2.
  30. Mogaka A.J., Mboya K.J., Kamau R.G. The influence of macro economic factors on mortgage market growth in Kenya. Journal of Finance and Accounting, 2015, no. 3 (4), pp. 77–85. DOI: http://doi.org/10.11648/j.jfa.20150304.13.
  31. Ghosh A. Do real estate loans reflect regional banking and economic conditions. Journal of financial economic policy, 2016, no. 8 (1), pp. 37–63. DOI: http://doi.org/10.1108/JFEP-09-2015-0050.
  32. Tselin V.Y., Korosteleva T.S. Differential Indicator of the Level of Development of the Mortgage System of the Region. In: Education Excellence and Innovation Management: A 2025 Vision to Sustain Economic Development during Global Challenge. Proceedings of the 35th International Business Information Management Association Conference (IBIMA). Spain, April 1–2, 2020, pp. 10621–10631. Available at: https://ibima.org/accepted-paper/differential-indicator-of-the-level-of-development-of-the-mortgage-system-of-the-region.
  33. Korosteleva T.S. New approaches to the study of regional mortgage inequality on the basis of the principal component analysis. Russian Journal of Housing Research, 2020, vol. 7, no. 2, pp. 127–152. DOI: http://doi.org/10.18334/zhs.7.2.110447. (In Russ.)
  34. Korosteleva T.S., Tselin V.Y. Assessing the mortgage potential capacity of regions: A methodology and indicators. Regional Economics: Theory and Practice, 2020, vol. 18, issue 2 (473), pp. 381–396. DOI: http://doi.org/10.24891/re.18.2.381. (In Russ.)

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