Spatial Distribution of Human Development Index in the Regions of Russia

  • Nailya K. SHAMSUTDINOVA Center for the Study of Human Development, Institute for Strategic Studies of the Republic of Bashkortostan Ufa, Russian Federation
  • Elmira I. ISIANGULOVA Center for the Study of Human Development, Institute for Strategic Studies of the Republic of Bashkortostan Ufa, Russian Federation
  • Irina A. LAKMAN Department of Computer Science and Robotics, Ufa State Aviation Technical University (USATU) Ufa, Russian Federation
  • Vadim B. PRUDNIKOV Department of Mathematical Methods in Economics, Bashkir State University Ufa, Russian Federation
  • Liana F. SADIKOVA Department of Computer Science and Robotics, Ufa State Aviation Technical University Ufa, Russian Federation

Abstract

Spatial effects in human development levels among different regions of a territory are important to study in the context of the core-periphery model. We use different methods to study human development index (HDI) for 85 Russian regions. The authors studied the human development index (HDI) for 85 Russian regions. Methods of spatial statistics (econometrics) are used to estimate the ‘spatial gradient’ in economic geography (Moran’s global and local I, Geary’s C, Getis-Ord global G indices). As a weighting matrix we used a contiguity matrix, taking into account the HDI levels only in neighboring regions. Analysis of the global indices of Moran’s I, Geary’s C and Getis-Ord G and Morans scatter plots showed the presence of time-inconsistent spatial autoregressive dependence of the level of HDI in regions of Russia. The ‘spatial gradient’ of the level of human development in Russia is influenced by historically existing imbalances (due to strong oil and gas export-oriented nature of the economy) and insufficient use of human capital. To our view the regional differentiation in human development among the regions is caused primarily by the ‘catching up’ style of Russian economy: human capital is concentrated in regions with already high level of development, although in terms of growth rates Moscow and St. Petersburg are not the leaders. The territorial and geopolitical policies of Russian Federation also influence HDI distribution. For example, huge public investments in the regions of Russian Far East are often ineffective.

References

[1] Algieri, B. 2006. Human Capital in Russia. European Journal of Comparative Economics 3: 103-129.
[2] Benjamin, H. 2017. Regional Development Theories and Their Application. Great Britain: Routledge.
[3] Chauhan, R., Mohanty, S., Subramanian, S., Parida, J., Padhi, B. 2016. Regional estimates of poverty and inequality in India, 1993–2012. Social Indicators Research 127(3): 1249-1296.
[4] Chen, Z., Lu, M., Xu, Z.. 2014. Core-Periphery Model of Urban Economic Growth. Available at: http://www.sef.hku.hk/events/conference/jes2010/paper/3_Lu_Ming_Core-Periphery_Model_of_Urban_Economic_Growth-final.pdf (Date Accessed: 14/08/2017).
[5] Grigorieva, L.M., Bobyleva, S.N. 2014. Document on human development in the Russian Federation for 2014. Moscow: Analytical Center under the Government of the Russian Federation.
[6] Grigorieva, L.M., Bobyleva, S.N. 2015a. Reports on human development in the Russian Federation for 2015. Moscow: Analytical Center under the Government of the Russian Federation.
[7] Grigorieva, L.M., Bobyleva, S.N. 2015b. Document on human development in the Russian Federation for 2015. Moscow: Analytical Center under the Government of the Russian Federation.
[8] Krugman, P., Venables, J. 1995. Globalization and the Inequality of Nations. The Quarterly Journal of Economics 110(4): 857-880.
[9] Kühn, M. 2015. Peripheralization: theoretical concepts explaining socio-spatial inequalities. European Planning Studies 23(2): 367-378.
[10] Kusharjanto, H., Kim, D. 2011. Infrastructure and human development: the case of Java, Indonesia. Journal of the Asia Pacific Economy 16(1): 111-124.
[11] Mariani, S., Fauzi, F. 2017.The arcview and geoda application in optimization of spatial regression estimate. Journal of Theoretical & Applied Information Technology 95(6): 1286-1299.
[12] Meliciani, V. 2015. Regional Disparities in the Enlarged European Union: Geography, innovation and structural change. Great Britain: Routledge.
[13] Mkrtchyan, N., Karachurina, L. 2014. Centers and Peripherals in the Baltic States and Regions of the North-West of Russia: Population Dynamics in the 2000s. The Baltic Region 2(20): 62-80.
[14] Mkrtchyan, N.V., Karachurina, L.B., Korovkin, A.G. 2013. Scientific works Institute of Economic Forecasting of the Russian Academy of Sciences. Moscow: MAKS Press.
[15] Permanyer, I. 2013. Using Census Data to Explore the Spatial Distribution of Human Development. World Development 46: 1–13.
[16] Redding, S. 1996. The low-skill, low-quality trap: Strategic complementarities between human capital and R & D. The Economic Journal 106: 458-470.
[17] Social atlas of Russian regions. Independent Institute of Social Policy. Available at: http://atlas.socpol.ru (Date Accessed: 29/10/2017).
[18] Sustainable development: the challenges of Rio Report on Human Development in the Russian Federation. 2013. Available at: http://www.undp.ru/documents/NHDR-2013.pdf (Date Accessed: 28/09/2017).
[19] Technical notes. Available at: http://hdr.undp.org/sites/default/files/hdr2016_technical_notes.pdf (Date Accessed: 15/05/2017).
[20] Thibert, J., Osorio, G.A. 2013. Urban segregation and metropolitics in Latin America: The case of Bogotá, Colombia. International Journal of Urban and Regional Research 38: 1319–1343.
[21] Treivish, A. 2015. Time and space of Russian modernization: some lessons of history and geography. Regionalistics 2(1): 24-41.
[22] United Nations Development Program. Human development report 2009. Available at: http://hdr.undp.org/sites/default/files/reports/269/hdr_2009_en_complete.pdf (Date Accessed: 14/09/2017).
[23] World development report 2009: Reshaping economic geography. 2009. Available at: https://openknowledge.worldbank.org/handle/10986/5991 (Date Accessed: 16/11/2017).
[24] Zaborovskaia, O., Plotnikova, E., Sharafanova, E. 2014. Assessment of Conditions for Formation and Development of Human Capital in the Regions of the Russian Federation. Asian Social Science 10(21): 267-274.
[25] Zubarevich, N. 2010. Region of Russia: inequality, crisis, modernization. Moscow: Independent Institute of Social Policy.
[26] Zubarevich, N. 2015. Regional inequality and potential for modernization. The Challenges for Russia's Politicized Economic System. Great Britain: Routledge.
[27] Zubarevich, N., Safronov, S. 2014. Territorial nesvostvaniedotsentrii Russia and other major post-Soviet countries. Regional Studies 4: 100-110.
[28] Zubarevich, N.V. 2015. The strategy of spatial development after the crisis: from most projects to institutional modernization. Journal of New Economic Activity 2: 226-231.
Published
2018-09-05
How to Cite
SHAMSUTDINOVA, Nailya K. et al. Spatial Distribution of Human Development Index in the Regions of Russia. Journal of Advanced Research in Law and Economics, [S.l.], v. 8, n. 8, p. 2594-2604, sep. 2018. ISSN 2068-696X. Available at: <https://journals.aserspublishing.eu/jarle/article/view/2227>. Date accessed: 23 nov. 2024. doi: https://doi.org/10.14505//jarle.v8.8(30).31.