In the section | Articles |
Title of the article | Relationship Between Consumption and Personal Income Within a Hierarchically Structured Spatial System |
Pages | 91-112 |
Author 1 | Venera Maratovna Timiryanova Candidate of Sciences (Economics), Senior Researcher Bashkir State University 3/4 Karl Marx St., Ufa, Bashkortostan, 450076, Russian Federation This email address is being protected from spambots. You need JavaScript enabled to view it. ORCID: 0000-0002-1004-0722 |
Author 2 | Kasim Nazifovich Yusupov Doctor of Sciences (Economics), Professor, Chief Researcher Bashkir State University 3/4 Karl Marx St., Ufa, Bashkortostan, 450076, Russian Federation This email address is being protected from spambots. You need JavaScript enabled to view it. ORCID: 0000-0002-7699-3817 |
Author 3 | Ruzel Faritovich Salimyanov Candidate of Sciences (History), Senior Researcher Ufa Federal Research Center of the RAS 71 October Avenue, Ufa, Russia, 450076 This email address is being protected from spambots. You need JavaScript enabled to view it. ORCID: 0000-0003-4850-1448 |
Abstract | Differentiation in the level of socio-economic development of territories is largely manifested in both inter-regional and intra-regional differences in personal income and consumption of goods. In this regard the methods of hierarchical analysis (HLM, Hierarchical Linear Modeling) that make it possible to study variation at several levels taking into account both municipal and regional factors are acquiring special relevance. Along with hierarchical effects, neighborhood effects can be distinguished. This is possible due to the imposition of a spatial adjacency matrix on the data observing spatial interactions within the spatial-hierarchical models (HSAM, Hierarchical Spatial Autoregressive Modeling). The aim of the study is to better understand the relationship between consumption and personal income within a hierarchically structured and spatially oriented economic system. The analysis uses the data from 2319 municipalities (i.e. municipal districts or rayons) and urban districts (okrugs) in 84 constituent entities of the Russian Federation for 2018. It showed that 38.4% of the variation among municipalities in terms of sold foods volume is explained by regional factors. The developed hierarchical (two-level) model revealed the positive impact of the volume of social benefits and taxable personal income in the municipality, and the volume of per capita retail trade at the level of the Russian Federation constituent entities, on the volume of foods sold within municipalities, and substantiate the negative impact of the Gini index increase, as well as highlight the positive spatial effect |
Code | 332.1 |
JEL | E21, R12, С31 |
DOI | https://dx.doi.org/10.14530/se.2020.4.091-112 |
Keywords | personal income ♦ consumption ♦ hierarchical (multilevel) analysis ♦ hierarchical spatial autoregressive modeling ♦ regional differentiation ♦ RF constituent entity |
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For citation | Timiryanova V.M., Kasim N.Y., Ruzel F.S. Relationship Between Consumption and Personal Income Within a Hierarchically Structured Spatial System. Prostranstvennaya Ekonomika = Spatial Economics, 2020, vol. 16, no. 4, pp. 91–112. https://dx.doi.org/10.14530/se.2020.4.091-112 (In Russian) |
References | 1. Aganbegyan A.G. Overcoming Poverty and Reducing the Income and Consumption Inequalities in Russia. EKO = ECO Journal, 2017, no. 9 (519), pp. 66–84. http://dx.doi.org/10.30680/ECO0131-7652-2017-9-66-84 (In Russian). 2. Awaworyi Churchill S., Yew S.L. Are Government Transfers Harmful to Economic Growth? A Meta-Analysis. Economic Modelling, 2017, vol. 64, pp. 270–287. 3. Cellmer R., Kobylinska K., Belej M. Application of Hierarchical Spatial Autoregressive Models to Develop Land Value Maps in Urbanized Areas. ISPRS International Journal of Geo-Information, 2019, vol. 8 (4), 20 p. 4. Corrado L., Fingleton B. Where is the Economics in Spatial Econometrics? Journal of Regional Science, 2011, vol. 52, issue 2, pp. 210–239. 5. Dai S.I.S., Sulila I. Purchase Power and Consumption Pattern Change of Society (Analysis of 34 Panel Data in Indonesia). Journal of Economics and Sustainable Development, 2020, vol. 11, no. 2, pp. 66–73. 6. Dubovik M.V., Timiryanova V.M., Zimin A.F. Modeling of the Deferred Demand on the Market of Household Appliances. European Research Studies Journal, 2017, vol. XX, issue 2B, pp. 149–161. 7. Giambattista E., Pennings S. When is the Government Transfer Multiplier Large? World Bank Group. Policy Research Working Paper No. 8184, 2015, 40 p. Available at: 8. Goldstein H. Multilevel Statistical Models. Wiley, 2010, 384 p. 9. Hierarchical Linear Modeling: Guide and Applications. Edited by D. Garson. SAGE Publications Inc., 2013, 390 p. 10. Hill R.P., Martin K.D., Chaplin L.N. A Tale of Two Marketplaces: Consumption Restriction, Social Comparison, and Life Satisfaction. Marketing Letters, 2012, vol. 23 (3), pp. 731–744. 11. Ivanova V. Spatial Convergence of Real Wages in Russian Cities. The Annals of Regional Science, 2017, vol. 61 (1), pp. 1–30. 12. Kolomak Е.А. Interregional Disparities in Russia: Economic and Social Aspects. Prostranstvennaya Ekonomika = Spatial Economics, 2010, no. 1, pp. 26–35. https://dx.doi.org/10.14530/se.2010.1.026-035 (In Russian). 13. Korchagina I.I., Migranova L.A. Consumption of the Population. Regional Features of the Level and Quality of Life. Edited by N.M. Rimashevskaya. Institute of Socio-Economic Studies of Population of the Russian Academy of Sciences. Moscow, 2012, pp. 281–338. (In Russian). 14. Kupreshhenko N.P., Fedotova E.A. Differentiation of Income and Poverty as a Threat to Economic Security of Russia. Vestnik Ekonomicheskoy Bezopasnosti = Vestnik of Economic Security, 2016, no. 3, pp. 318–322. (In Russian). 15. Leonidova E.G. Stimulating Final Consumption within the Reduction of Regional Inequality. Ekonomicheskie i Sotsialnye Peremeny: Fakty, Tendentsii, Prognoz = Economic and Social Changes: Facts, Trends, Forecast, 2020, vol. 13, no. 3, pp. 59–73. 16. Malkina M.Yu. Dynamics and Determinants of Intra and Inter-Regional Income Differentiation of the Population of the Russian Federation. Prostranstvennaya Ekonomika = Spatial Economics, 2014, no. 3, pp. 44–66. https://dx.doi.org/10.14530/se.2014.3.044-066 (In Russian). 17. Maslikhina V.Yu. The Acceptable Level of Interregional Differentiation in Russia for Sustainable Development. Teoriya i Praktika Obshchestvennogo Razvitiya = Theory and Practice of Social Development, 2017, no. 12, pp. 93–96. 18. McCall L. Explaining Levels of Within-Group Wage Inequality in U.S. Labor Markets. Demography, 2000, vol. 37 (4), pp. 415–430. 19. Monitoring of Income and Living Standards of the Russian Population-2018. Edited by B.N. Bobkov. Institute of Socio-Economic Studies of Population of the Russian Academy of Sciences. Moscow, 2019, no. 1 (198), 98 p. (In Russian). 20. Ovcharova L.N., Biryukova S.S., Ter-Akopov S.A., Vardanyan E.G. What has Changed in the Population’s Income, Expenditure, and Consumption? Moscow: National Research University Higher School of Economics, 2014, 42 p. (In Russian). 21. Ryabov I. Conspicuous Consumption Among Hispanics: Evidence from the Consumer Expenditure Survey. Research in Social Stratification and Mobility, 2016, vol. 44, pp. 68–76. 22. Timpf S., Frank A.U. Using Hierarchical Spatial Data Structures for Hierarchical Spatial Reasoning. Spatial Information Theory a Theoretical Basis for GIS, 1997, pp. 69–84. 23. Wieland T. REAT: Regional Economic Analysis Toolbox for R. Region, 2019, vol. 6, no. 3, pp. R1–R57. 24. Wu X., Fong H.I., Wong I. A Study of Intra-National Consumer Behaviours in China: The Role of Regional Wealth. Second International Conference on Economic and Business Management (FEBM 2017), 2017, vol. 33, pp. 461–466. 25. Yusupov K.N., Timiryanova V.M., Toktamysheva Iu.S., Popov D.V. Hierarchical and Spatial Effects in the Development of Municipalities. Ekonomicheskie i Sotsialnye Peremeny: Fakty, Tendentsii, Prognoz = Economic and Social Changes: Facts, Trends, Forecast, 2018, vol. 11, no. 5, pp. 137–154. 26. Zubarevich N. Regional Inequality and Potential for Modernization. The Challenges for Russia’s Politicized Economic System. Routledge, 2015, pp. 182–201. 27. Zubarevich N.V., Safronov S.G. People and Money: Incomes, Consumption and Financial Behavior of the Population of the Russian Regions in 2000–2017. Izvestiya RAN. Seriya Geograficheskaya = Regional Research of Russia, 2019, no. 5, pp. 3–17. (In Russian). |
Financing | The paper presents the effects of state budget research carried out after Government Contract of Russian Federation Ministry of Science and Higher Education (scientific code FZWU-2020-0027) |
Submitted | 28.10.2020 |
Revised | 15.11.2020 |
Published online | 25.12.2020 |