Assessment of the social capital impact on the household income of the Russian Federation regions
https://doi.org/10.21686/2500-3925-2019-5-111-120
Abstract
Purpose of research. To identify the impact of social capital on economic development and income, using mathematical modeling. Also, based on the analysis of modern domestic and foreign literature on the theoretical foundations of social capital, to give a qualitative and quantitative characteristic of such indicators of social capital as marriage, divorce, the ratio of these indicators and the mechanisms of its possible impact on the income of Russian citizens.
Materials and methods. General scientific methods such as analysis and synthesis, induction and deduction, empirical methods were used to obtain scientific results. The theoretical basis of the study is the fundamental theoretical work and publications of Russian and foreign scientists in the field of social capital research as a factor affecting the development of the national economy as a whole and the income of the Russian population, in particular. The authors propose a methodological approach that distinguishes the study from other economists – this is mathematical modeling using the extended Cobb-Douglas production function with the inclusion of indicators representing human and social capital in the number of independent variables of this function. The variable, characterizing social capital is a statistical indicator “the ratio of marriage and divorce”, as a characteristic of the state of social (or its components of moral capital) in Russia. The calculations used data from statistical reference books “Regions of Russia. Socio-Economic Indicators”, “weighted” regressions, the indicator “number of people employed in the region’s economy” was used as a weighted variable.
Results. Calculations of spatial regression equations, using official statistics are carried out. The statistical evaluation of the effect of social capital on the income differentiation of the population in the regions of Russia is presented. Social capital, as shown by the calculations of the regression equations, along with the fixed capital per worker and the average level of education of the population, employed in the economy of the regions, has a significant impact on both income and differentiation of income of the population of Russian regions. In addition, calculations indicate that the frequency of divorces adversely affects the income of the employed population of the regions of Russia.
Conclusion. Calculations and analysis of statistical indicators show that social capital in Russia does not accumulate, but degrades. This can lead to undesirable consequences in terms of economic development, preventing the movement along progressive trajectories. In particular, for example, to the spread of such a negative phenomenon as information asymmetry in different groups: at work or in the family, which can interfere with productive work and result in lower quality of work, service, efficiency and competitiveness. Therefore, there is an urgent need to envisage a number of measures to accumulate and save social capital. Including the strengthening of the family, which makes a significant contribution to the creative processes of trust, and accordingly, the growth of social capital.
About the Authors
N. Е. KarmanovaRussian Federation
Natalya A. Karmanova – Senior Lecturer of the Department of Economics
Novosibirsk
A. V. Koritskiy
Russian Federation
Aleksey V. Koritskiy – Dr. Sci. (Economics), Associate Professor, Professor of the Department Economic Theory and Applied Economics
Novosibirsk
References
1. Kozyreva P.M. Interpersonal trust in the context of the formation of social capital. Sotsiologicheskiye issledovaniya = Sociological studies. 2009; 1: 43– 54. (In Russ.)
2. Kornai YA. Honesty and trust in a transitional economy. Voprosy ekonomiki = Issues of Economics. 2003; 9: 14–26. (In Russ.)
3. Polishchuk L., Menyashev R. Economic value of social capital. Voprosy ekonomiki = Problems of Economics. 2011; 12: 46–65. (In Russ.)
4. Kondrat’yeva, Ye.V. Social capital and the economic well-being of society. Zhurnal ekonomicheskoy teorii = Journal of Economic Theory. 2019; 16; 1: 111–119. (In Russ.)
5. Djankov S., Glaeser E., La Porta R., Lopez-de-Silanes F., Shleifer A. The New Comparative Economics. Journal of Comparative Economics. 2003; 31; 4: 595–619.
6. Knack S., Keefer Ph. Does Social Capital Have an Economic Payoff? A Cross-Country Investigation. Quarterly Journal of Economics. 1997; 112; 4: 1251–1288.
7. Glaeser E., La Porta R., Lopez-deSilanes F., Shleifer A. Do Institutions Cause Growth?. Journal of Economic Growth. 2004; 9; 3: 271–303.
8. Tabellini G. Institutions and Culture. Journal of the European Economic Association Papers and Proceedings. 2008; 6; 2–3: 255–294.
9. La Porta R., Lopez-de-Silanes F., Shleifer A., Vishny R. Trust in Large Organizations. American Economic Review. 1997; 87; 2: 333–338.
10. Ke R., Zhang Zh. Trust in China: A CrossRegional Analysis. Michigan: William Davidson Institute, 2003. Working Paper No. 586. 22 p.
11. Knack S. Social Capital and the Quality of Government: Evidence from the States. American Journal of Political Science. 2002; 16; 4: 772–783.
12. La Porta R., Lopez-de-Silanez F., Shleifer A., Vishny R. A new Comparative Economics. Journal of Comparative Economics. 2003; 31; 4: 595–619.
13. Bourdieu P. The forms of capital. In: Handbook of theory and research for sociology of Education. Ed. by J. Richardson. New York: Greenwood Press; 1986: 241–258.
14. Coleman J.S. Social Capital in the Creation of Human Capital. American Journal of Sociology. 1988; 94; Supplement: 95–120.
15. Coleman J.S. Foundations of social theory. Cambridge, Mass.: Belknap Press of Harvard University Press; 1990: 48–64.
16. Fukuyama F. Doveriye: sotsial’nyye dobrodeteli i sozidaniye blagosostoyaniya = Trust: social virtues and building wealth. Moscow: Ermak; 2004. 230 p. (In Russ.)
17. Putnam, R. Making Democracy Work: Civic Traditions in Modern Italy. Princeton: Princeton University Press. 1993. 360 p. (In Russ.)
18. Guzhavina T.A., Yasnikov, N.N., Lyasnikova, N.D. Formation of the social capital of schoolchildren: the experience of sociological analysis [Internet]. Molodoy uchenyy = Young scientist. 2018; 36: 85-91. Available from: https://moluch.ru/archive/222/52537/ (Cited 13.08.2019). (In Russ.)
19. Spetsian L.M. Family problems in modern market relations [Internet]. Modern scientific research and innovation. 2014; 11; Part 2. Available from: http://web.snauka.ru/issues/2014/11/40504 (Cited 14.08.2019). (In Russ.)
20. RBK = RBC [Internet]. Available from: https://www.rbc.ru/economics/08/04/2019 (Cited 14.08.19). (In Russ.)
21. Rossiyskiy statisticheskiy yezhegodnik. 2018. Stat. sbornik = Russian statistical yearbook. 2018. Stat. compilation. Moscow: Rosstat, 2018. 694 p. (In Russ.)
22. Lukas R. E. Lektsii po ekonomicheskomu rostu = Lectures on economic growth Moscow: Publishing house of the Gaidar Institute; 2013. 288 p. (In Russ.)
23. Kapelyuk S.D., Koritskiy A.V. The impact of urbanization on the differentiation of social norms of the return of education in Russia. Vestnik NGUEU = Bulletin of NSUU. 2015; 2: 231–251. (In Russ.)
24. Koritskiy A.V., Karelin I.N., Semenikhina V.A. Are the financial benefits of the state from the cost of education in Russia large? Vestnik NGUEU = Bulletin of NSUU. 2017; 1: 64–82. (In Russ.)
25. Berezovskaya A.G., Koritskiy A.V. Evaluation of the impact of human capital on GRP production in the regions of Russia. Mir ekonomiki i upravleniya = World of Economics and Management 2018; 18: 42-54. (In Russ.)
26. Regiony Rossii. Sotsial’no-ekonomicheskiye pokazateli 2013. Stat. sbornik = Regions of Russia. Socio-economic indicators 2013. Stat. compilation Moscow: Rosstat; 2013. 990 p. (In Russ.)
27. Regiony Rossii. Sotsial’no-ekonomicheskiye pokazateli 2017 Stat. sbornik = Regions of Russia. Socio-economic indicators 2017 Stat. compilation. Moscow: Rosstat; 2017. 1402 p. (In Russ.)
Review
For citations:
Karmanova N.Е., Koritskiy A.V. Assessment of the social capital impact on the household income of the Russian Federation regions. Statistics and Economics. 2019;16(5):111-120. (In Russ.) https://doi.org/10.21686/2500-3925-2019-5-111-120