6 research outputs found
ΠΡΠ΅Π½ΠΊΠ° Π²Π»ΠΈΡΠ½ΠΈΡ ΡΠΎΡΠΈΠ°Π»ΡΠ½ΠΎΠ³ΠΎ ΠΊΠ°ΠΏΠΈΡΠ°Π»Π° Π½Π° Π΄ΠΎΡ ΠΎΠ΄Ρ Π½Π°ΡΠ΅Π»Π΅Π½ΠΈΡ ΡΠ΅Π³ΠΈΠΎΠ½ΠΎΠ² Π ΠΎΡΡΠΈΠΈ
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. Β 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 β 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 βthe ratio of marriage and divorceβ, as a characteristic of the state of social (or its components of moral capital) in Russia. The calculations used data from statistical reference books βRegions of Russia. Socio-Economic Indicatorsβ, βweightedβ regressions, the indicator βnumber of people employed in the regionβs economyβ was used as a weighted variable. Β 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 Β 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. Β 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. Β Π¦Π΅Π»Ρ ΠΈΡΡΠ»Π΅Π΄ΠΎΠ²Π°Π½ΠΈΡ. ΠΡΠΏΠΎΠ»ΡΠ·ΡΡ ΠΌΠ°ΡΠ΅ΠΌΠ°ΡΠΈΡΠ΅ΡΠΊΠΎΠ΅ ΠΌΠΎΠ΄Π΅Π»ΠΈΡΠΎΠ²Π°Π½ΠΈΠ΅ Π²ΡΡΠ²ΠΈΡΡ Π²Π»ΠΈΡΠ½ΠΈΠ΅ ΡΠΎΡΠΈΠ°Π»ΡΠ½ΠΎΠ³ΠΎ ΠΊΠ°ΠΏΠΈΡΠ°Π»Π° Π½Π° ΡΠΊΠΎΠ½ΠΎΠΌΠΈΡΠ΅ΡΠΊΠΎΠ΅ ΡΠ°Π·ΒΠ²ΠΈΡΠΈΠ΅ ΠΈ Π΄ΠΎΡ
ΠΎΠ΄Ρ Π½Π°ΡΠ΅Π»Π΅Π½ΠΈΡ, Π΄Π°ΡΡ ΠΎΡΠ΅Π½ΠΊΡ ΡΠΈΠ»Ρ ΡΡΠΎΠ³ΠΎ Π²Π»ΠΈΡΠ½ΠΈΡ ΠΏΡΠΈ ΠΏΠΎΠΌΠΎΡΠΈ ΡΡΠ°ΡΠΈΡΡΠΈΡΠ΅ΡΠΊΠΈΡ
ΠΌΠ΅ΡΠΎΠ΄ΠΎΠ². Π’Π°ΠΊ ΠΆΠ΅ Π½Π° ΠΎΡΠ½ΠΎΠ²Π΅ Π°Π½Π°Π»ΠΈΠ·Π° ΡΠΎΠ²ΡΠ΅ΠΌΠ΅Π½Π½ΠΎΠΉ ΠΎΡΠ΅ΡΠ΅ΡΡΠ²Π΅Π½Π½ΠΎΠΉ ΠΈ Π·Π°ΡΡΠ±Π΅ΠΆΠ½ΠΎΠΉ Π»ΠΈΡΠ΅ΡΠ°ΡΡΡΡ ΠΏΠΎ ΡΠ΅ΠΎΒΡΠ΅ΡΠΈΡΠ΅ΡΠΊΠΈΠΌ ΠΎΡΠ½ΠΎΠ²Π°ΠΌ ΡΠΎΡΠΈΠ°Π»ΡΠ½ΠΎΠ³ΠΎ ΠΊΠ°ΠΏΠΈΡΠ°Π»Π° Π΄Π°ΡΡ ΠΊΠ°ΡΠ΅ΡΡΠ²Π΅Π½Π½ΡΡ ΠΈ ΠΊΠΎΠ»ΠΈΡΠ΅ΡΡΠ²Π΅Π½Π½ΡΡ Ρ
Π°ΡΠ°ΠΊΡΠ΅ΡΠΈΡΡΠΈΠΊΡ ΡΠ°ΠΊΠΈΡ
ΠΈΠ½Π΄ΠΈΠΊΠ°ΡΠΎΡΠΎΠ² ΡΠΎΡΠΈΠ°Π»ΡΒΠ½ΠΎΠ³ΠΎ ΠΊΠ°ΠΏΠΈΡΠ°Π»Π°, ΠΊΠ°ΠΊ Π±ΡΠ°ΡΠ½ΡΠ΅ ΠΎΡΠ½ΠΎΡΠ΅Π½ΠΈΡ, ΡΠ°Π·Π²ΠΎΠ΄Ρ, ΡΠΎΠΎΡΠ½ΠΎΡΠ΅Π½ΠΈΠ΅ ΡΡΠΈΡ
ΠΈΠ½Π΄ΠΈΠΊΠ°ΡΠΎΡΠΎΠ² ΠΈ ΠΌΠ΅Ρ
Π°Π½ΠΈΠ·ΠΌΠΎΠ² Π΅Π³ΠΎ Π²ΠΎΠ·ΠΌΠΎΠΆΠ½ΠΎΠ³ΠΎ Π²Π»ΠΈΡΠ½ΠΈΡ Π½Π° Π΄ΠΎΡ
ΠΎΠ΄Ρ ΡΠΎΡΡΠΈΠΉΡΠΊΠΈΡ
Π³ΡΠ°ΠΆΠ΄Π°Π½. Β ΠΠ°ΡΠ΅ΡΠΈΠ°Π»Ρ ΠΈ ΠΌΠ΅ΡΠΎΠ΄Ρ. ΠΠ»Ρ ΠΏΠΎΠ»ΡΡΠ΅Π½ΠΈΡ Π½Π°ΡΡΠ½ΡΡ
ΡΠ΅Π·ΡΠ»ΡΡΠ°ΡΠΎΠ² ΠΈΡΠΏΠΎΠ»ΡΠ·ΠΎΠ²Π°Π½Ρ ΡΠ°ΠΊΠΈΠ΅ ΠΎΠ±ΡΠ΅Π½Π°ΡΡΠ½ΡΠ΅ ΠΌΠ΅ΡΠΎΠ΄Ρ, ΠΊΠ°ΠΊ Π°Π½Π°Π»ΠΈΠ· ΠΈ ΡΠΈΠ½ΡΠ΅Π·, ΠΈΠ½Π΄ΡΠΊΡΠΈΡ ΠΈ Π΄Π΅Π΄ΡΠΊΡΠΈΡ, ΡΠΌΠΏΠΈΡΠΈΡΠ΅ΡΠΊΠΈΠ΅ ΠΌΠ΅ΡΠΎΠ΄Ρ. Π’Π΅ΠΎΡΠ΅ΡΠΈΡΠ΅ΡΠΊΠΎΠΉ ΠΎΡΠ½ΠΎΠ²ΠΎΠΉ ΠΈΡΡΠ»Π΅Π΄ΠΎΠ²Π°Π½ΠΈΡ ΡΠ²Π»ΡΡΡΡΡ ΡΡΠ½Π΄Π°ΠΌΠ΅Π½ΡΠ°Π»ΡΠ½ΡΠ΅ ΡΠ΅ΠΎΡΠ΅ΡΠΈΒΡΠ΅ΡΠΊΠΈΠ΅ ΡΠ°Π±ΠΎΡΡ ΠΈ ΠΏΡΠ±Π»ΠΈΠΊΠ°ΡΠΈΠΈ ΡΠΎΡΡΠΈΠΉΡΠΊΠΈΡ
ΠΈ Π·Π°ΡΡΠ±Π΅ΠΆΠ½ΡΡ
ΡΡΡΠ½ΡΡ
Π² ΠΎΠ±Π»Π°ΡΡΠΈ ΠΈΡΡΠ»Π΅Π΄ΠΎΠ²Π°Π½ΠΈΡ ΡΠΎΡΠΈΠ°Π»ΡΠ½ΠΎΠ³ΠΎ ΠΊΠ°ΠΏΠΈΡΠ°Π»Π° ΠΊΠ°ΠΊ ΡΠ°ΠΊΡΠΎΡΠ°, Π²Π»ΠΈΡΡΡΠ΅Π³ΠΎ Π½Π° ΡΠ°Π·Π²ΠΈΡΠΈΠ΅ Π½Π°ΡΠΈΠΎΠ½Π°Π»ΡΠ½ΠΎΠΉ ΡΠΊΠΎΠ½ΠΎΠΌΠΈΠΊΠΈ Π² ΡΠ΅Π»ΠΎΠΌ ΠΈ Π½Π° Π΄ΠΎΡ
ΠΎΠ΄Ρ Π½Π°ΡΠ΅Π»Π΅Π½ΠΈΡ Π ΠΎΡΡΠΈΠΈ, Π² ΡΠ°ΡΡΠ½ΠΎΡΡΠΈ. ΠΠ²ΡΠΎΡΠ°ΠΌΠΈ ΠΏΡΠ΅Π΄Π»ΠΎΠΆΠ΅Π½ ΠΌΠ΅ΡΠΎΠ΄ΠΈΡΠ΅ΡΠΊΠΈΠΉ ΠΏΠΎΠ΄Ρ
ΠΎΠ΄, ΠΊΠΎΡΠΎΡΡΠΉ ΠΎΡΠ»ΠΈΡΠ°Π΅Ρ Π΅Π³ΠΎ ΠΈΡΡΠ»Π΅Π΄ΠΎΠ²Π°Π½ΠΈΠ΅ ΠΎΡ Π΄ΡΡΠ³ΠΈΡ
ΡΠΊΠΎΠ½ΠΎΠΌΠΈΡΡΠΎΠ² β ΡΡΠΎ ΠΌΠ°ΡΠ΅ΠΌΠ°ΡΠΈΡΠ΅ΡΠΊΠΎΠ΅ ΠΌΠΎΠ΄Π΅Π»ΠΈΡΠΎΠ²Π°Π½ΠΈΠ΅ Ρ ΠΏΠΎΠΌΠΎΡΡΡ ΡΠ°ΡΡΠΈΡΠ΅Π½Π½ΠΎΠΉ ΠΏΡΠΎΠΈΠ·Π²ΠΎΠ΄ΡΡΠ²Π΅Π½Π½ΠΎΠΉ ΡΡΠ½ΠΊΡΠΈΠΈ ΠΠΎΠ±Π±Π°-ΠΡΒΠ³Π»Π°ΡΠ° Ρ Π²ΠΊΠ»ΡΡΠ΅Π½ΠΈΠ΅ΠΌ Π² ΡΠΈΡΠ»ΠΎ Π½Π΅Π·Π°Π²ΠΈΡΠΈΠΌΡΡ
ΠΏΠ΅ΡΠ΅ΠΌΠ΅Π½Π½ΡΡ
ΡΡΠΎΠΉ ΡΡΠ½ΠΊΡΠΈΠΈ ΠΏΠΎΠΊΠ°Π·Π°ΡΠ΅Π»Π΅ΠΉ, ΠΏΡΠ΅Π΄ΡΡΠ°Π²Π»ΡΡΡΠΈΡ
ΡΠ΅Π»ΠΎΠ²Π΅ΡΠ΅ΡΠΊΠΈΠΉ ΠΈ ΡΠΎΡΠΈΒΠ°Π»ΡΠ½ΡΠΉ ΠΊΠ°ΠΏΠΈΡΠ°Π»Ρ. ΠΠ΅ΡΠ΅ΠΌΠ΅Π½Π½Π°Ρ, Ρ
Π°ΡΠ°ΠΊΡΠ΅ΡΠΈΠ·ΡΡΡΠ°Ρ ΡΠΎΡΠΈΠ°Π»ΡΠ½ΡΠΉ ΠΊΠ°ΠΏΠΈΡΠ°Π» β ΡΡΠ°ΡΠΈΡΡΠΈΡΠ΅ΡΠΊΠΈΠΉ ΠΏΠΎΠΊΠ°Π·Π°ΡΠ΅Π»Ρ Β«ΡΠΎΠΎΡΠ½ΠΎΡΠ΅Π½ΠΈΠ΅ Π±ΡΠ°ΠΊΠΎΠ² ΠΈ ΡΠ°Π·Π²ΠΎΠ΄ΠΎΠ²Β», ΠΊΠ°ΠΊ Ρ
Π°ΡΠ°ΠΊΡΠ΅ΡΠΈΡΡΠΈΠΊΠ° ΡΠΎΡΡΠΎΡΠ½ΠΈΡ ΡΠΎΡΠΈΠ°Π»ΡΠ½ΠΎΠ³ΠΎ (ΠΈΠ»ΠΈ Π΅Π³ΠΎ ΠΊΠΎΠΌΠΏΠΎΠ½Π΅Π½ΡΡ ΠΌΠΎΡΠ°Π»ΡΠ½ΠΎΠ³ΠΎ ΠΊΠ°ΠΏΠΈΡΠ°Π»Π°) Π² Π ΠΎΡΡΠΈΠΈ. Π ΡΠ°ΡΡΡΡΠ°Ρ
ΠΈΡΠΏΠΎΠ»ΡΠ·ΠΎΠ²Π°Π½Ρ Π΄Π°Π½Π½ΡΠ΅ ΠΈΠ· ΡΡΠ°ΡΠΈΡΡΠΈΡΠ΅ΡΠΊΠΈΡ
ΡΠΏΡΠ°Π²ΠΎΡΠ½ΠΈΠΊΠΎΠ² Β«Π Π΅Π³ΠΈΠΎΠ½Ρ Π ΠΎΡΡΠΈΠΈ. Π‘ΠΎΡΠΈΠ°Π»ΡΠ½ΠΎ-ΡΠΊΠΎΠ½ΠΎΠΌΠΈΡΠ΅ΡΠΊΠΈΠ΅ ΠΏΠΎΠΊΠ°Π·Π°ΡΠ΅Π»ΠΈΒ», ΡΠ΅Π³ΡΠ΅ΡΡΠΈΠΈ Β«Π²Π·Π²Π΅ΒΡΠ΅Π½Π½ΡΠ΅Β», Π² ΠΊΠ°ΡΠ΅ΡΡΠ²Π΅ Π²Π΅ΡΠΎΠ²ΠΎΠΉ ΠΏΠ΅ΡΠ΅ΠΌΠ΅Π½Π½ΠΎΠΉ ΠΈΡΠΏΠΎΠ»ΡΠ·ΠΎΠ²Π°Π½ ΠΏΠΎΠΊΠ°Π·Π°ΡΠ΅Π»Ρ Β«ΡΠΈΡΠ»Π΅Π½Π½ΠΎΡΡΡ Π·Π°Π½ΡΡΠΎΠ³ΠΎ Π² ΡΠΊΠΎΠ½ΠΎΠΌΠΈΠΊΠ΅ ΡΠ΅Π³ΠΈΠΎΠ½Π° Π½Π°ΡΠ΅Π»Π΅Π½ΠΈΡΒ». Β Π Π΅Π·ΡΠ»ΡΡΠ°ΡΡ. ΠΡΠΎΠ²Π΅Π΄Π΅Π½Ρ ΡΠ°ΡΡΡΡΡ ΠΏΡΠΎΡΡΡΠ°Π½ΡΡΠ²Π΅Π½Π½ΡΡ
ΡΠ΅Π³ΡΠ΅ΡΡΠΈΒΠΎΠ½Π½ΡΡ
ΡΡΠ°Π²Π½Π΅Π½ΠΈΠΉ Ρ ΠΈΡΠΏΠΎΠ»ΡΠ·ΠΎΠ²Π°Π½ΠΈΠ΅ΠΌ ΠΎΡΠΈΡΠΈΠ°Π»ΡΠ½ΡΡ
ΡΡΠ°ΡΠΈΡΡΠΈΡΠ΅ΒΡΠΊΠΈΡ
Π΄Π°Π½Π½ΡΡ
. ΠΠ°Π½Π° ΡΡΠ°ΡΠΈΡΡΠΈΡΠ΅ΡΠΊΠ°Ρ ΠΎΡΠ΅Π½ΠΊΠ° Π²Π»ΠΈΡΠ½ΠΈΡ ΡΠΎΡΠΈΠ°Π»ΡΠ½ΠΎΠ³ΠΎ ΠΊΠ°ΠΏΠΈΡΠ°Π»Π° Π½Π° Π΄ΠΈΡΡΠ΅ΡΠ΅Π½ΡΠΈΠ°ΡΠΈΡ Π΄ΠΎΡ
ΠΎΠ΄ΠΎΠ² Π½Π°ΡΠ΅Π»Π΅Π½ΠΈΡ Π² ΡΠ΅Π³ΠΈΠΎΠ½Π°Ρ
Π ΠΎΡΡΠΈΠΈ. Π‘ΠΎΡΠΈΠ°Π»ΡΠ½ΡΠΉ ΠΊΠ°ΠΏΠΈΡΠ°Π», ΠΊΠ°ΠΊ ΠΏΠΎΠΊΠ°Π·Π°Π»ΠΈ ΡΠ°ΡΡΡΡΡ ΡΠ΅Π³ΡΠ΅ΡΒΡΠΈΠΎΠ½Π½ΡΡ
ΡΡΠ°Π²Π½Π΅Π½ΠΈΠΉ, Π½Π°ΡΡΠ΄Ρ Ρ ΡΠΎΠ½Π΄ΠΎΠ²ΠΎΠΎΡΡΠΆΡΠ½Π½ΠΎΡΡΡΡ ΡΡΡΠ΄Π°, ΠΈ ΡΡΠ΅Π΄Π½ΠΈΠΌ ΡΡΠΎΠ²Π½Π΅ΠΌ ΠΎΠ±ΡΠ°Π·ΠΎΠ²Π°Π½ΠΈΡ Π·Π°Π½ΡΡΠΎΠ³ΠΎ Π² ΡΠΊΠΎΠ½ΠΎΠΌΠΈΠΊΠ΅ ΡΠ΅Π³ΠΈΠΎΠ½ΠΎΠ² Π½Π°ΡΠ΅Π»Π΅Π½ΠΈΡ ΠΎΠΊΠ°Π·ΡΠ²Π°Π΅Ρ Π·Π½Π°ΡΠΈΡΠ΅Π»ΡΠ½ΠΎΠ΅ Π²Π»ΠΈΡΠ½ΠΈΠ΅, ΠΊΠ°ΠΊ Π½Π° Π΄ΠΎΡ
ΠΎΠ΄Ρ, ΡΠ°ΠΊ ΠΈ Π½Π° Π΄ΠΈΡΡΠ΅ΡΠ΅Π½ΡΠΈΠ°ΡΠΈΡ Π΄ΠΎΡ
ΠΎΠ΄ΠΎΠ² Π½Π°ΡΠ΅Π»Π΅Π½ΠΈΡ ΡΠ΅Π³ΠΈΠΎΠ½ΠΎΠ² Π ΠΎΡΡΠΈΠΈ. Π’Π°ΠΊ ΠΆΠ΅ ΡΠ°ΡΡΠ΅ΡΡ ΡΠ²ΠΈΠ΄Π΅ΡΠ΅Π»ΡΡΡΠ²ΡΡΡ ΠΎ ΡΠΎΠΌ, ΡΡΠΎ ΡΠ°ΡΡΠΎΡΠ° ΡΠ°Π·Π²ΠΎΠ΄ΠΎΠ² ΠΎΡΡΠΈΡΠ°ΡΠ΅Π»ΡΠ½ΠΎ Π²Π»ΠΈΡΠ΅Ρ Π½Π° Π΄ΠΎΡ
ΠΎΠ΄Ρ Π·Π°Π½ΡΡΠΎΠ³ΠΎ Π½Π°ΡΠ΅Π»Π΅Π½ΠΈΡ ΡΠ΅Π³ΠΈΠΎΠ½ΠΎΠ² Π ΠΎΡΡΠΈΠΈ. Β ΠΠ°ΠΊΠ»ΡΡΠ΅Π½ΠΈΠ΅. ΠΠ· ΡΠ°ΡΡΠ΅ΡΠΎΠ² ΠΈ Π°Π½Π°Π»ΠΈΠ·Π° ΡΡΠ°ΡΠΈΡΡΠΈΡΠ΅ΡΠΊΠΈΡ
ΠΏΠΎΠΊΠ°Π·Π°ΡΠ΅ΒΠ»Π΅ΠΉ, ΠΎΡΠ΅Π²ΠΈΠ΄Π½ΠΎ, ΡΡΠΎ ΡΠΎΡΠΈΠ°Π»ΡΠ½ΡΠΉ ΠΊΠ°ΠΏΠΈΡΠ°Π» Π² Π ΠΎΡΡΠΈΠΈ Π½Π΅ ΡΠΎΠ»ΡΠΊΠΎ Π½Π΅ Π½Π°ΠΊΠ°ΠΏΠ»ΠΈΠ²Π°Π΅ΡΡΡ, Π° Π΄Π΅Π³ΡΠ°Π΄ΠΈΡΡΠ΅Ρ. ΠΡΠΎ Π²ΠΏΠΎΠ»Π½Π΅ ΡΠΏΠΎΡΠΎΠ±Π½ΠΎ ΠΏΡΠΈΠ²Π΅ΡΡΠΈ ΠΊ Π½Π΅ΠΆΠ΅Π»Π°ΡΠ΅Π»ΡΠ½ΡΠΌ ΠΏΠΎΡΠ»Π΅Π΄ΡΡΠ²ΠΈΡΠΌ Π² ΠΏΠ»Π°Π½Π΅ ΡΠ°Π·Π²ΠΈΡΠΈΡ ΡΠΊΠΎΠ½ΠΎΠΌΠΈΠΊΠΈ, ΠΏΡΠ΅ΠΏΡΡΡΡΠ²ΡΡ Π΄Π²ΠΈΠΆΠ΅Π½ΠΈΡ ΠΏΠΎ ΠΏΡΠΎΠ³ΡΠ΅ΡΡΠΈΠ²Π½ΡΠΌ ΡΡΠ°Π΅ΠΊΡΠΎΡΠΈΡΠΌ. Π ΡΠ°ΡΡΠ½ΠΎΡΡΠΈ, Π½Π°ΠΏΡΠΈΠΌΠ΅Ρ, ΠΊ ΡΠ°ΡΠΏΡΠΎΡΡΡΠ°Π½Π΅Π½ΠΈΡ ΡΠ°ΠΊΠΎΠ³ΠΎ Π½Π΅Π³Π°ΡΠΈΠ²Π½ΠΎΠ³ΠΎ ΡΠ²Π»Π΅Π½ΠΈΡ, ΠΊΠ°ΠΊ Π°ΡΠΈΠΌΠΌΠ΅ΡΡΠΈΡ ΠΈΠ½ΡΠΎΡΠΌΠ°ΡΠΈΠΈ Π² ΡΠ°Π·Π»ΠΈΡΠ½ΡΡ
Π³ΡΡΠΏΠΏΠ°Ρ
: Π½Π° ΡΠ°Π±ΠΎΡΠ΅ ΠΈΠ»ΠΈ Π² ΡΠ΅ΠΌΡΠ΅, ΡΡΠΎ ΠΌΠΎΠΆΠ΅Ρ ΠΌΠ΅ΡΠ°ΡΡ ΠΏΡΠΎΠ΄ΡΠΊΡΠΈΠ²Π½ΠΎ ΡΡΡΠ΄ΠΈΡΡΡΡ ΠΈ ΠΏΡΠΈΠ²ΠΎΠ΄ΠΈΡΡ Π² ΠΈΡΠΎΠ³Π΅ ΠΊ ΡΠ½ΠΈΠΆΠ΅Π½ΠΈΡ ΠΊΠ°ΡΠ΅ΡΡΠ²Π° ΡΠ°Π±ΠΎΡΡ, ΠΏΡΠΎΠ΄ΡΠΊΡΠ°, ΡΡΠ»ΡΠ³ΠΈ, ΡΡΡΠ΅ΠΊΡΠΈΠ²Π½ΠΎΡΡΠΈ ΠΈ ΠΊΠΎΠ½ΠΊΡΡΠ΅Π½ΡΠΎΡΠΏΠΎΡΠΎΠ±Π½ΠΎΡΡΠΈ. ΠΠΎΡΡΠΎΠΌΡ ΡΡΡΠ΅ΡΡΠ²ΡΠ΅Ρ Π½Π°ΡΡΡΠ½Π°Ρ Π½Π΅ΠΎΠ±Ρ
ΠΎΠ΄ΠΈΠΌΠΎΡΡΡ ΠΏΡΠ΅Π΄ΡΡΠΌΠΎΡΡΠ΅ΡΡ ΡΡΠ΄ ΠΌΠ΅Ρ ΠΏΠΎ Π°ΠΊΠΊΡΠΌΡΠ»ΠΈΡΠΎΠ²Π°Π½ΠΈΡ, ΡΠ±Π΅ΡΠ΅ΠΆΠ΅Π½ΠΈΡ ΠΈ Π½Π°ΠΊΠΎΠΏΠ»Π΅Π½ΠΈΡ ΡΠΎΡΠΈΠ°Π»ΡΠ½ΠΎΠ³ΠΎ ΠΊΠ°ΒΠΏΠΈΡΠ°Π»Π°. Π ΡΠΎΠΌ ΡΠΈΡΠ»Π΅ ΠΈ ΡΠΊΡΠ΅ΠΏΠ»Π΅Π½ΠΈΡ ΠΈΠ½ΡΡΠΈΡΡΡΠ° ΡΠ΅ΠΌΡΠΈ, ΠΊΠΎΡΠΎΡΡΠΉ ΡΠ°ΠΊ ΠΆΠ΅ Π²Π½ΠΎΡΠΈΡ Π²Π΅ΡΠΎΠΌΡΠΉ Π²ΠΊΠ»Π°Π΄ Π² ΡΠΎΠ·ΠΈΠ΄Π°ΡΠ΅Π»ΡΠ½ΡΠ΅ ΠΏΡΠΎΡΠ΅ΡΡΡ ΡΠΊΡΠ΅ΒΠΏΠ»Π΅Π½ΠΈΡ Π΄ΠΎΠ²Π΅ΡΠΈΡ ΠΈ, ΡΠΎΠΎΡΠ²Π΅ΡΡΡΠ²Π΅Π½Π½ΠΎ, ΡΠΎΡΡΡ ΡΠΎΡΠΈΠ°Π»ΡΠ½ΠΎΠ³ΠΎ ΠΊΠ°ΠΏΠΈΡΠ°Π»Π°.
Π‘ΡΠ°Π²Π½ΠΈΡΠ΅Π»ΡΠ½Π°Ρ ΠΎΡΠ΅Π½ΠΊΠ° Π²Π»ΠΈΡΠ½ΠΈΡ ΡΠ΅Π»ΠΎΠ²Π΅ΡΠ΅ΡΠΊΠΎΠ³ΠΎ ΠΊΠ°ΠΏΠΈΡΠ°Π»Π° Π½Π° Π΄ΠΎΡ ΠΎΠ΄Ρ Π½Π°ΡΠ΅Π»Π΅Π½ΠΈΡ Π² Π΅Π²ΡΠΎΠΏΠ΅ΠΉΡΠΊΠΈΡ ΠΈ Π°Π·ΠΈΠ°ΡΡΠΊΠΈΡ ΡΠ΅Π³ΠΈΠΎΠ½Π°Ρ Π ΠΎΡΡΠΈΠΈ
The relevance of the study is explained by the link between economic growth and investment in human capital.The purpose of the study is a comparative analysis of the dynamics of the return of physical and human capital in the European and Asian regions of Russia.Materials and methods. In the article, the authors use the extended Cobb-Douglas production function and conduct a regression spatial analysis based on data of the official Russian statistics.Results. There are estimates of the relationship between the income of the population of regions with the number of employed, with the volume of fixed assets of regions and human capital; the wage fund of the population of regions with the number of employed, with the volume of fixed assets of regions and human capital, the elasticity coefficients are justified. The authors analyzed and interpreted the values of the elasticity coefficients. In particular, the coefficients of elasticity of household income by fixed assets for Asian and European regions tend to decrease; the authors explain this by the low level of investment in the renewal of fixed capital at enterprises. The coefficients of elasticity of income of the population by the number of people employed in the economy of the regions are noticeably higher and tend to increase. At the same time, human capital has a stronger impact on the income of the population than fixed assets and the number of people employed in the economy of the regions. There is a decrease in the influence of human capital on the income of the population in the group of European regions of Russia at the end of the period under review and the relative stability of its returns in the Asian group of regions.Conclusion. The impact of human capital on the income of the population differs significantly in the European and Asian regions of Russia. The authors identified efficiency trends and features of the use of the main factors of production in different groups of regions of the Russian Federation in the period under review. Scientific significance is the generalization of knowledge about the role of human capital in economic development, technology transfer and increasing the investment attractiveness of settlements and regions due to it; obtaining statistically significant models for assessing the economic return of human capital.ΠΠΊΡΡΠ°Π»ΡΠ½ΠΎΡΡΡ ΠΈΡΡΠ»Π΅Π΄ΠΎΠ²Π°Π½ΠΈΡ ΠΎΠ±ΡΡΡΠ½ΡΠ΅ΡΡΡ ΡΠ²ΡΠ·ΡΡ ΡΠΊΠΎΠ½ΠΎΠΌΠΈΡΠ΅ΡΠΊΠΎΠ³ΠΎ ΡΠΎΡΡΠ° ΠΈ ΠΈΠ½Π²Π΅ΡΡΠΈΡΠΈΠΉ Π² ΡΠ΅Π»ΠΎΠ²Π΅ΡΠ΅ΡΠΊΠΈΠΉ ΠΊΠ°ΠΏΠΈΡΠ°Π».Π¦Π΅Π»Ρ ΠΈΡΡΠ»Π΅Π΄ΠΎΠ²Π°Π½ΠΈΡ. Π¦Π΅Π»ΡΡ ΠΈΡΡΠ»Π΅Π΄ΠΎΠ²Π°Π½ΠΈΡ ΡΠ²Π»ΡΠ΅ΡΡΡ ΡΡΠ°Π²Π½ΠΈΡΠ΅Π»ΡΠ½ΡΠΉ Π°Π½Π°Π»ΠΈΠ· Π΄ΠΈΠ½Π°ΠΌΠΈΠΊΠΈ ΠΎΡΠ΄Π°ΡΠΈ ΡΠΈΠ·ΠΈΡΠ΅ΡΠΊΠΎΠ³ΠΎ ΠΈ ΡΠ΅Π»ΠΎΠ²Π΅ΡΠ΅ΡΠΊΠΎΠ³ΠΎ ΠΊΠ°ΠΏΠΈΡΠ°Π»Π° Π² Π΅Π²ΡΠΎΠΏΠ΅ΠΉΡΠΊΠΈΡ
ΠΈ Π°Π·ΠΈΠ°ΡΡΠΊΠΈΡ
ΡΠ΅Π³ΠΈΠΎΠ½Π°Ρ
Π ΠΎΡΡΠΈΠΈ. ΠΠ°ΡΠ΅ΡΠΈΠ°Π»Ρ ΠΈ ΠΌΠ΅ΡΠΎΠ΄Ρ. Π ΡΡΠ°ΡΡΠ΅ Π°Π²ΡΠΎΡΡ ΠΈΡΠΏΠΎΠ»ΡΠ·ΡΡΡ ΡΠ°ΡΡΠΈΡΠ΅Π½Π½ΡΡ ΠΏΡΠΎΠΈΠ·Π²ΠΎΠ΄ΡΡΠ²Π΅Π½Π½ΡΡ ΡΡΠ½ΠΊΡΠΈΡ ΠΠΎΠ±Π±Π°-ΠΡΠ³Π»Π°ΡΠ° ΠΈ ΠΏΡΠΎΠ²ΠΎΠ΄ΡΡ ΡΠ΅Π³ΡΠ΅ΡΡΠΈΠΎΠ½Π½ΡΠΉ ΠΏΡΠΎΡΡΡΠ°Π½ΡΡΠ²Π΅Π½Π½ΡΠΉ Π°Π½Π°Π»ΠΈΠ· Π½Π° ΠΎΡΠ½ΠΎΠ²Π΅ Π΄Π°Π½Π½ΡΡ
ΠΎΡΠΈΡΠΈΠ°Π»ΡΠ½ΠΎΠΉ ΡΠΎΡΡΠΈΠΉΡΠΊΠΎΠΉ ΡΡΠ°ΡΠΈΡΡΠΈΠΊΠΈ.Π Π΅Π·ΡΠ»ΡΡΠ°ΡΡ. ΠΠ°Π½Ρ ΠΎΡΠ΅Π½ΠΊΠΈ Π²Π·Π°ΠΈΠΌΠΎΡΠ²ΡΠ·ΠΈ Π΄ΠΎΡ
ΠΎΠ΄ΠΎΠ² Π½Π°ΡΠ΅Π»Π΅Π½ΠΈΡ ΡΠ΅Π³ΠΈΠΎΠ½ΠΎΠ² Ρ ΡΠΈΡΠ»Π΅Π½Π½ΠΎΡΡΡΡ Π·Π°Π½ΡΡΡΡ
, Ρ ΠΎΠ±ΡΡΠΌΠΎΠΌ ΠΎΡΠ½ΠΎΠ²Π½ΡΡ
ΡΠΎΠ½Π΄ΠΎΠ² ΡΠ΅Π³ΠΈΠΎΠ½ΠΎΠ² ΠΈ ΡΠ΅Π»ΠΎΠ²Π΅ΡΠ΅ΡΠΊΠΈΠΌ ΠΊΠ°ΠΏΠΈΡΠ°Π»ΠΎΠΌ; ΡΠΎΠ½Π΄Π° Π·Π°ΡΠ°Π±ΠΎΡΠ½ΠΎΠΉ ΠΏΠ»Π°ΡΡ Π½Π°ΡΠ΅Π»Π΅Π½ΠΈΡ ΡΠ΅Π³ΠΈΠΎΠ½ΠΎΠ² Ρ ΡΠΈΡΠ»Π΅Π½Π½ΠΎΡΡΡΡ Π·Π°Π½ΡΡΡΡ
, Ρ ΠΎΠ±ΡΡΠΌΠΎΠΌ ΠΎΡΠ½ΠΎΠ²Π½ΡΡ
ΡΠΎΠ½Π΄ΠΎΠ² ΡΠ΅Π³ΠΈΠΎΠ½ΠΎΠ² ΠΈ ΡΠ΅Π»ΠΎΠ²Π΅ΡΠ΅ΡΠΊΠΈΠΌ ΠΊΠ°ΠΏΠΈΡΠ°Π»ΠΎΠΌ, ΠΎΠ±ΠΎΡΠ½ΠΎΠ²Π°Π½Ρ ΠΊΠΎΡΡΡΠΈΡΠΈΠ΅Π½ΡΡ ΡΠ»Π°ΡΡΠΈΡΠ½ΠΎΡΡΠΈ. ΠΡΠΎΠ°Π½Π°Π»ΠΈΠ·ΠΈΡΠΎΠ²Π°Π½Ρ ΠΈ ΠΈΠ½ΡΠ΅ΡΠΏΡΠ΅ΡΠΈΡΠΎΠ²Π°Π½Ρ Π·Π½Π°ΡΠ΅Π½ΠΈΡ ΠΊΠΎΡΡΡΠΈΡΠΈΠ΅Π½ΡΠΎΠ² ΡΠ»Π°ΡΡΠΈΡΠ½ΠΎΡΡΠΈ. Π ΡΠ°ΡΡΠ½ΠΎΡΡΠΈ, ΠΊΠΎΡΡΡΠΈΡΠΈΠ΅Π½ΡΡ ΡΠ»Π°ΡΡΠΈΡΠ½ΠΎΡΡΠΈ Π΄ΠΎΡ
ΠΎΠ΄ΠΎΠ² Π½Π°ΡΠ΅Π»Π΅Π½ΠΈΡ ΠΏΠΎ ΠΎΡΠ½ΠΎΠ²Π½ΡΠΌ ΡΠΎΠ½Π΄Π°ΠΌ Π΄Π»Ρ Π°Π·ΠΈΠ°ΡΡΠΊΠΈΡ
ΠΈ Π΅Π²ΡΠΎΠΏΠ΅ΠΉΡΠΊΠΈΡ
ΡΠ΅Π³ΠΈΠΎΠ½ΠΎΠ² ΠΈΠΌΠ΅ΡΡ ΡΠ΅Π½Π΄Π΅Π½ΡΠΈΡ ΠΊ ΡΠ½ΠΈΠΆΠ΅Π½ΠΈΡ, ΡΡΠΎ Π°Π²ΡΠΎΡΡ ΠΎΠ±ΡΡΡΠ½ΡΡΡ Π½ΠΈΠ·ΠΊΠΈΠΌ ΡΡΠΎΠ²Π½Π΅ΠΌ ΠΈΠ½Π²Π΅ΡΡΠΈΡΠΈΠΉ Π² ΠΎΠ±Π½ΠΎΠ²Π»Π΅Π½ΠΈΠ΅ ΠΎΡΠ½ΠΎΠ²Π½ΠΎΠ³ΠΎ ΠΊΠ°ΠΏΠΈΡΠ°Π»Π° Π½Π° ΠΏΡΠ΅Π΄ΠΏΡΠΈΡΡΠΈΡΡ
. ΠΠΎΡΡΡΠΈΡΠΈΠ΅Π½ΡΡ ΡΠ»Π°ΡΡΠΈΡΠ½ΠΎΡΡΠΈ Π΄ΠΎΡ
ΠΎΠ΄ΠΎΠ² Π½Π°ΡΠ΅Π»Π΅Π½ΠΈΡ ΠΏΠΎ ΡΠΈΡΠ»Π΅Π½Π½ΠΎΡΡΠΈ Π·Π°Π½ΡΡΠΎΠ³ΠΎ Π² ΡΠΊΠΎΠ½ΠΎΠΌΠΈΠΊΠ΅ ΡΠ΅Π³ΠΈΠΎΠ½ΠΎΠ² Π½Π°ΡΠ΅Π»Π΅Π½ΠΈΡ Π·Π°ΠΌΠ΅ΡΠ½ΠΎ Π΅Π³ΠΎ Π²ΡΡΠ΅ ΠΈ ΠΈΠΌΠ΅ΡΡ ΡΠ΅Π½Π΄Π΅Π½ΡΠΈΡ ΠΊ ΡΠΎΡΡΡ. ΠΡΠΈ ΡΡΠΎΠΌ ΡΠ΅Π»ΠΎΠ²Π΅ΡΠ΅ΡΠΊΠΈΠΉ ΠΊΠ°ΠΏΠΈΡΠ°Π» ΠΎΠΊΠ°Π·ΡΠ²Π°Π΅Ρ Π±ΠΎΠ»Π΅Π΅ ΡΠΈΠ»ΡΠ½ΠΎΠ΅ Π²Π»ΠΈΡΠ½ΠΈΠ΅ Π½Π° Π΄ΠΎΡ
ΠΎΠ΄Ρ Π½Π°ΡΠ΅Π»Π΅Π½ΠΈΡ, ΡΠ΅ΠΌ ΠΎΡΠ½ΠΎΠ²Π½ΡΠ΅ ΡΠΎΠ½Π΄Ρ ΠΈ ΡΠΈΡΠ»Π΅Π½Π½ΠΎΡΡΡ Π·Π°Π½ΡΡΠΎΠ³ΠΎ Π² ΡΠΊΠΎΠ½ΠΎΠΌΠΈΠΊΠ΅ ΡΠ΅Π³ΠΈΠΎΠ½ΠΎΠ² Π½Π°ΡΠ΅Π»Π΅Π½ΠΈΡ. ΠΡΡΠ²Π»Π΅Π½ΠΎ ΡΠ½ΠΈΠΆΠ΅Π½ΠΈΠ΅ Π²Π»ΠΈΡΠ½ΠΈΡ ΡΠ΅Π»ΠΎΠ²Π΅ΡΠ΅ΡΠΊΠΎΠ³ΠΎ ΠΊΠ°ΠΏΠΈΡΠ°Π»Π° Π½Π° Π΄ΠΎΡ
ΠΎΠ΄Ρ Π½Π°ΡΠ΅Π»Π΅Π½ΠΈΡ Π² Π³ΡΡΠΏΠΏΠ΅ Π΅Π²ΡΠΎΠΏΠ΅ΠΉΡΠΊΠΈΡ
ΡΠ΅Π³ΠΈΠΎΠ½ΠΎΠ² Π ΠΎΡΡΠΈΠΈ Π² ΠΊΠΎΠ½ΡΠ΅ ΡΠ°ΡΡΠΌΠ°ΡΡΠΈΠ²Π°Π΅ΠΌΠΎΠ³ΠΎ ΠΏΠ΅ΡΠΈΠΎΠ΄Π° ΠΈ ΠΎΡΠ½ΠΎΡΠΈΡΠ΅Π»ΡΠ½Π°Ρ ΡΡΠ°Π±ΠΈΠ»ΡΠ½ΠΎΡΡΡ Π΅Π³ΠΎ ΠΎΡΠ΄Π°ΡΠΈ Π² Π°Π·ΠΈΠ°ΡΡΠΊΠΎΠΉ Π³ΡΡΠΏΠΏΠ΅ ΡΠ΅Π³ΠΈΠΎΠ½ΠΎΠ².ΠΠ°ΠΊΠ»ΡΡΠ΅Π½ΠΈΠ΅. ΠΠ»ΠΈΡΠ½ΠΈΠ΅ ΡΠ΅Π»ΠΎΠ²Π΅ΡΠ΅ΡΠΊΠΎΠ³ΠΎ ΠΊΠ°ΠΏΠΈΡΠ°Π»Π° Π½Π° Π΄ΠΎΡ
ΠΎΠ΄Ρ Π½Π°ΡΠ΅Π»Π΅Π½ΠΈΡ ΡΡΡΠ΅ΡΡΠ²Π΅Π½Π½ΠΎ ΠΎΡΠ»ΠΈΡΠ°Π΅ΡΡΡ Π² Π΅Π²ΡΠΎΠΏΠ΅ΠΉΡΠΊΠΈΡ
ΠΈ Π°Π·ΠΈΠ°ΡΡΠΊΠΈΡ
ΡΠ΅Π³ΠΈΠΎΠ½Π°Ρ
Π ΠΎΡΡΠΈΠΈ. ΠΠ²ΡΠΎΡΠ°ΠΌΠΈ Π²ΡΡΠ²Π»Π΅Π½Ρ ΡΠ΅Π½Π΄Π΅Π½ΡΠΈΠΈ ΡΡΡΠ΅ΠΊΡΠΈΠ²Π½ΠΎΡΡΠΈ ΠΈ ΠΎΡΠΎΠ±Π΅Π½Π½ΠΎΡΡΠΈ ΠΈΡΠΏΠΎΠ»ΡΠ·ΠΎΠ²Π°Π½ΠΈΡ ΠΎΡΠ½ΠΎΠ²Π½ΡΡ
ΡΠ°ΠΊΡΠΎΡΠΎΠ² ΠΏΡΠΎΠΈΠ·Π²ΠΎΠ΄ΡΡΠ²Π° Π² ΡΠ°Π·Π½ΡΡ
Π³ΡΡΠΏΠΏΠ°Ρ
ΡΠ΅Π³ΠΈΠΎΠ½ΠΎΠ² Π Π€ Π² ΡΠ°ΡΡΠΌΠ°ΡΡΠΈΠ²Π°Π΅ΠΌΡΠΉ ΠΏΠ΅ΡΠΈΠΎΠ΄. ΠΠ°ΡΡΠ½Π°Ρ Π·Π½Π°ΡΠΈΠΌΠΎΡΡΡ ΡΠΎΡΡΠΎΠΈΡ Π² ΠΎΠ±ΠΎΠ±ΡΠ΅Π½ΠΈΠΈ Π·Π½Π°Π½ΠΈΠΉ ΠΎ ΡΠΎΠ»ΠΈ ΡΠ΅Π»ΠΎΠ²Π΅ΡΠ΅ΡΠΊΠΎΠ³ΠΎ ΠΊΠ°ΠΏΠΈΡΠ°Π»Π° Π² ΡΠΊΠΎΠ½ΠΎΠΌΠΈΡΠ΅ΡΠΊΠΎΠΌ ΡΠ°Π·Π²ΠΈΡΠΈΠΈ, ΠΏΠ΅ΡΠ΅Π΄Π°ΡΠ΅ ΡΠ΅Ρ
Π½ΠΎΠ»ΠΎΠ³ΠΈΠΉ ΠΈ ΠΏΠΎΠ²ΡΡΠ΅Π½ΠΈΠΈ Π·Π° Π΅Π³ΠΎ ΡΡΠ΅Ρ ΠΈΠ½Π²Π΅ΡΡΠΈΡΠΈΠΎΠ½Π½ΠΎΠΉ ΠΏΡΠΈΠ²Π»Π΅ΠΊΠ°ΡΠ΅Π»ΡΠ½ΠΎΡΡΠΈ Π½Π°ΡΠ΅Π»Π΅Π½Π½ΡΡ
ΠΏΡΠ½ΠΊΡΠΎΠ² ΠΈ ΡΠ΅Π³ΠΈΠΎΠ½ΠΎΠ²; ΠΏΠΎΠ»ΡΡΠ΅Π½ΠΈΠΈ ΡΡΠ°ΡΠΈΡΡΠΈΡΠ΅ΡΠΊΠΈ Π·Π½Π°ΡΠΈΠΌΡΡ
ΠΌΠΎΠ΄Π΅Π»Π΅ΠΉ ΠΎΡΠ΅Π½ΠΊΠΈ ΡΠΊΠΎΠ½ΠΎΠΌΠΈΡΠ΅ΡΠΊΠΎΠΉ ΠΎΡΠ΄Π°ΡΠΈ ΡΠ΅Π»ΠΎΠ²Π΅ΡΠ΅ΡΠΊΠΎΠ³ΠΎ ΠΊΠ°ΠΏΠΈΡΠ°Π»Π°
Assessment of the social capital impact on the household income of the Russian Federation regions
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. Β 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 β 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 βthe ratio of marriage and divorceβ, as a characteristic of the state of social (or its components of moral capital) in Russia. The calculations used data from statistical reference books βRegions of Russia. Socio-Economic Indicatorsβ, βweightedβ regressions, the indicator βnumber of people employed in the regionβs economyβ was used as a weighted variable. Β 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 Β 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. Β 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
Π§Π΅Π»ΠΎΠ²Π΅ΡΠ΅ΡΠΊΠΈΠΉ ΠΊΠ°ΠΏΠΈΡΠ°Π» Π‘ΠΈΠ±ΠΈΡΠΈ Π² ΡΠΏΠΎΡ Ρ ΡΠ°Π·Π²ΠΈΡΠΈΡ ΡΠΈΡΡΠΎΠ²ΠΎΠΉ ΡΠΊΠΎΠ½ΠΎΠΌΠΈΠΊΠΈ
The change of employeesβ functions and the creation of network interaction conditions have led to employment expansion, change of working time patterns, blurring of geographical boundaries, increased flexibility of work and transfer of economic and social activities to cyberspace. In the era of digital economy, human capital has become in more demand and has gained greater impact. This is confirmed by calculations and interpretation of the modified Mintzerβs equation. Employees should be constantly engaged in personal development, continual education; they should be able to think critically and systematically, quickly adapt to changing environment; be fluent in foreign languages, strive to achieve goals, and be set up for success. The results of the survey show that freelancers meet these requirements better in contrast to workers with a standard form employmentΠ‘ΠΌΠ΅Π½Π° ΡΡΠ½ΠΊΡΠΈΠΉ ΡΠ°Π±ΠΎΡΠ½ΠΈΠΊΠΎΠ² ΠΈ ΡΠΎΠ·Π΄Π°Π½Π½ΡΠ΅ ΡΡΠ»ΠΎΠ²ΠΈΡ ΡΠ΅ΡΠ΅Π²ΠΎΠ³ΠΎ Π²Π·Π°ΠΈΠΌΠΎΠ΄Π΅ΠΉΡΡΠ²ΠΈΡ ΠΏΡΠΈΠ²Π΅Π»ΠΈ ΠΊ ΡΠ°ΡΡΠΈΡΠ΅Π½ΠΈΡ ΡΠΎΡΠΌ Π·Π°Π½ΡΡΠΎΡΡΠΈ, ΠΈΠ·ΠΌΠ΅Π½Π΅Π½ΠΈΡ ΡΠ΅ΠΆΠΈΠΌΠΎΠ² ΡΠ°Π±ΠΎΡΠ΅Π³ΠΎ Π²ΡΠ΅ΠΌΠ΅Π½ΠΈ, ΡΡΠΈΡΠ°Π½ΠΈΡ Π΅ΡΡΠΈΡΠΎΡΠΈΠ°Π»ΡΠ½ΡΡ
ΡΠ°ΠΌΠΎΠΊ, ΠΏΠΎΠ²ΡΡΠ΅Π½ΠΈΡ Π³ΠΈΠ±ΠΊΠΎΡΡΠΈ ΡΡΡΠ΄Π°, ΠΏΠ΅ΡΠ΅Π½ΠΎΡΠ° Ρ
ΠΎΠ·ΡΠΉΡΡΠ²Π΅Π½Π½ΠΎΠΉ, ΠΎΠ±ΡΠ΅ΡΡΠ²Π΅Π½Π½ΠΎΠΉ Π΄Π΅ΡΡΠ΅Π»ΡΠ½ΠΎΡΡΠΈ
Π² ΠΊΠΈΠ±Π΅ΡΠΏΡΠΎΡΡΡΠ°Π½ΡΡΠ²Π΅. Π ΡΠΏΠΎΡ
Ρ ΡΠ°Π·Π²ΠΈΡΠΈΡ ΡΠΈΡΡΠΎΠ²ΠΎΠΉ ΡΠΊΠΎΠ½ΠΎΠΌΠΈΠΊΠΈ ΡΠ΅Π»ΠΎΠ²Π΅ΡΠ΅ΡΠΊΠΈΠΉ ΠΊΠ°ΠΏΠΈΡΠ°Π» ΡΡΠ°Π» Π±ΠΎΠ»Π΅Π΅ Π²ΠΎΡΡΡΠ΅Π±ΠΎΠ²Π°Π½Π½ΡΠΌ ΠΈ ΠΈΠΌΠ΅Π΅Ρ Π±ΠΎΠ»ΡΡΡΡ ΠΎΡΠ΄Π°ΡΡ. ΠΡΠΎ ΠΏΠΎΠ΄ΡΠ²Π΅ΡΠΆΠ΄Π°Π΅ΡΡΡ ΡΠ°ΡΡΠ΅ΡΠ°ΠΌΠΈ ΠΈ ΠΈΠ½ΡΠ΅ΡΠΏΡΠ΅ΡΠ°ΡΠΈΠ΅ΠΉ ΠΌΠΎΠ΄ΠΈΡΠΈΡΠΈΡΠΎΠ²Π°Π½Π½ΠΎΠ³ΠΎ ΡΡΠ°Π²Π½Π΅Π½ΠΈΡ ΠΠΈΠ½ΡΠ΅ΡΠ°. Π Π°Π±ΠΎΡΠ½ΠΈΠΊΠΈ Π΄ΠΎΠ»ΠΆΠ½Ρ Π·Π°Π½ΠΈΠΌΠ°ΡΡΡΡ ΠΏΠΎΡΡΠΎΡΠ½Π½ΠΎ ΡΠ°ΠΌΠΎΡΠ°Π·Π²ΠΈΡΠΈΠ΅ΠΌ, Π½Π΅ΠΏΡΠ΅ΡΡΠ²Π½ΡΠΌ ΠΎΠ±ΡΠ°Π·ΠΎΠ²Π°Π½ΠΈΠ΅ΠΌ; ΡΠΌΠ΅ΡΡ ΠΌΡΡΠ»ΠΈΡΡ ΠΊΡΠΈΡΠΈΡΠ΅ΡΠΊΠΈ ΠΈ ΡΠΈΡΡΠ΅ΠΌΠ½ΠΎ,
Π±ΡΡΡΡΠΎ Π°Π΄Π°ΠΏΡΠΈΡΠΎΠ²Π°ΡΡΡΡ ΠΊ ΠΌΠ΅Π½ΡΡΡΠΈΠΌΡΡ ΡΡΠ»ΠΎΠ²ΠΈΡΠΌ; ΡΠ²ΠΎΠ±ΠΎΠ΄Π½ΠΎ Π²Π»Π°Π΄Π΅ΡΡ ΠΈΠ½ΠΎΡΡΡΠ°Π½Π½ΡΠΌΠΈ ΡΠ·ΡΠΊΠ°ΠΌΠΈ,
ΡΡΡΠ΅ΠΌΠΈΡΡΡΡ ΠΊ Π΄ΠΎΡΡΠΈΠΆΠ΅Π½ΠΈΡ ΠΏΠΎΡΡΠ°Π²Π»Π΅Π½Π½ΡΡ
ΡΠ΅Π»Π΅ΠΉ, Π±ΡΡΡ Π½Π°ΡΡΡΠΎΠ΅Π½Π½ΡΠΌ Π½Π° ΡΡΠΏΠ΅Ρ
. Π Π΅Π·ΡΠ»ΡΡΠ°ΡΡ
Π°Π½ΠΊΠ΅ΡΠΈΡΠΎΠ²Π°Π½ΠΈΡ ΠΏΠΎΠΊΠ°Π·ΡΠ²Π°ΡΡ, ΡΡΠΎ ΡΡΠΈΠ»Π°Π½ΡΠ΅ΡΡ Π² ΠΎΡΠ»ΠΈΡΠΈΠ΅ ΠΎΡ ΡΠ°Π±ΠΎΡΠ½ΠΈΠΊΠΎΠ² ΡΠΎ ΡΡΠ°Π½Π΄Π°ΡΡΠ½ΠΎΠΉ Π·Π°Π½ΡΡΠΎΡΡΡΡ Π±ΠΎΠ»ΡΡΠ΅ ΡΠΎΠΎΡΠ²Π΅ΡΡΡΠ²ΡΡΡ ΡΡΠΈΠΌ ΡΡΠ΅Π±ΠΎΠ²Π°Π½ΠΈΡ
Π§Π΅Π»ΠΎΠ²Π΅ΡΠ΅ΡΠΊΠΈΠΉ ΠΊΠ°ΠΏΠΈΡΠ°Π» Π‘ΠΈΠ±ΠΈΡΠΈ Π² ΡΠΏΠΎΡ Ρ ΡΠ°Π·Π²ΠΈΡΠΈΡ ΡΠΈΡΡΠΎΠ²ΠΎΠΉ ΡΠΊΠΎΠ½ΠΎΠΌΠΈΠΊΠΈ
The change of employeesβ functions and the creation of network interaction conditions have led to employment expansion, change of working time patterns, blurring of geographical boundaries, increased flexibility of work and transfer of economic and social activities to cyberspace. In the era of digital economy, human capital has become in more demand and has gained greater impact. This is confirmed by calculations and interpretation of the modified Mintzerβs equation. Employees should be constantly engaged in personal development, continual education; they should be able to think critically and systematically, quickly adapt to changing environment; be fluent in foreign languages, strive to achieve goals, and be set up for success. The results of the survey show that freelancers meet these requirements better in contrast to workers with a standard form employmentΠ‘ΠΌΠ΅Π½Π° ΡΡΠ½ΠΊΡΠΈΠΉ ΡΠ°Π±ΠΎΡΠ½ΠΈΠΊΠΎΠ² ΠΈ ΡΠΎΠ·Π΄Π°Π½Π½ΡΠ΅ ΡΡΠ»ΠΎΠ²ΠΈΡ ΡΠ΅ΡΠ΅Π²ΠΎΠ³ΠΎ Π²Π·Π°ΠΈΠΌΠΎΠ΄Π΅ΠΉΡΡΠ²ΠΈΡ ΠΏΡΠΈΠ²Π΅Π»ΠΈ ΠΊ ΡΠ°ΡΡΠΈΡΠ΅Π½ΠΈΡ ΡΠΎΡΠΌ Π·Π°Π½ΡΡΠΎΡΡΠΈ, ΠΈΠ·ΠΌΠ΅Π½Π΅Π½ΠΈΡ ΡΠ΅ΠΆΠΈΠΌΠΎΠ² ΡΠ°Π±ΠΎΡΠ΅Π³ΠΎ Π²ΡΠ΅ΠΌΠ΅Π½ΠΈ, ΡΡΠΈΡΠ°Π½ΠΈΡ Π΅ΡΡΠΈΡΠΎΡΠΈΠ°Π»ΡΠ½ΡΡ
ΡΠ°ΠΌΠΎΠΊ, ΠΏΠΎΠ²ΡΡΠ΅Π½ΠΈΡ Π³ΠΈΠ±ΠΊΠΎΡΡΠΈ ΡΡΡΠ΄Π°, ΠΏΠ΅ΡΠ΅Π½ΠΎΡΠ° Ρ
ΠΎΠ·ΡΠΉΡΡΠ²Π΅Π½Π½ΠΎΠΉ, ΠΎΠ±ΡΠ΅ΡΡΠ²Π΅Π½Π½ΠΎΠΉ Π΄Π΅ΡΡΠ΅Π»ΡΠ½ΠΎΡΡΠΈ
Π² ΠΊΠΈΠ±Π΅ΡΠΏΡΠΎΡΡΡΠ°Π½ΡΡΠ²Π΅. Π ΡΠΏΠΎΡ
Ρ ΡΠ°Π·Π²ΠΈΡΠΈΡ ΡΠΈΡΡΠΎΠ²ΠΎΠΉ ΡΠΊΠΎΠ½ΠΎΠΌΠΈΠΊΠΈ ΡΠ΅Π»ΠΎΠ²Π΅ΡΠ΅ΡΠΊΠΈΠΉ ΠΊΠ°ΠΏΠΈΡΠ°Π» ΡΡΠ°Π» Π±ΠΎΠ»Π΅Π΅ Π²ΠΎΡΡΡΠ΅Π±ΠΎΠ²Π°Π½Π½ΡΠΌ ΠΈ ΠΈΠΌΠ΅Π΅Ρ Π±ΠΎΠ»ΡΡΡΡ ΠΎΡΠ΄Π°ΡΡ. ΠΡΠΎ ΠΏΠΎΠ΄ΡΠ²Π΅ΡΠΆΠ΄Π°Π΅ΡΡΡ ΡΠ°ΡΡΠ΅ΡΠ°ΠΌΠΈ ΠΈ ΠΈΠ½ΡΠ΅ΡΠΏΡΠ΅ΡΠ°ΡΠΈΠ΅ΠΉ ΠΌΠΎΠ΄ΠΈΡΠΈΡΠΈΡΠΎΠ²Π°Π½Π½ΠΎΠ³ΠΎ ΡΡΠ°Π²Π½Π΅Π½ΠΈΡ ΠΠΈΠ½ΡΠ΅ΡΠ°. Π Π°Π±ΠΎΡΠ½ΠΈΠΊΠΈ Π΄ΠΎΠ»ΠΆΠ½Ρ Π·Π°Π½ΠΈΠΌΠ°ΡΡΡΡ ΠΏΠΎΡΡΠΎΡΠ½Π½ΠΎ ΡΠ°ΠΌΠΎΡΠ°Π·Π²ΠΈΡΠΈΠ΅ΠΌ, Π½Π΅ΠΏΡΠ΅ΡΡΠ²Π½ΡΠΌ ΠΎΠ±ΡΠ°Π·ΠΎΠ²Π°Π½ΠΈΠ΅ΠΌ; ΡΠΌΠ΅ΡΡ ΠΌΡΡΠ»ΠΈΡΡ ΠΊΡΠΈΡΠΈΡΠ΅ΡΠΊΠΈ ΠΈ ΡΠΈΡΡΠ΅ΠΌΠ½ΠΎ,
Π±ΡΡΡΡΠΎ Π°Π΄Π°ΠΏΡΠΈΡΠΎΠ²Π°ΡΡΡΡ ΠΊ ΠΌΠ΅Π½ΡΡΡΠΈΠΌΡΡ ΡΡΠ»ΠΎΠ²ΠΈΡΠΌ; ΡΠ²ΠΎΠ±ΠΎΠ΄Π½ΠΎ Π²Π»Π°Π΄Π΅ΡΡ ΠΈΠ½ΠΎΡΡΡΠ°Π½Π½ΡΠΌΠΈ ΡΠ·ΡΠΊΠ°ΠΌΠΈ,
ΡΡΡΠ΅ΠΌΠΈΡΡΡΡ ΠΊ Π΄ΠΎΡΡΠΈΠΆΠ΅Π½ΠΈΡ ΠΏΠΎΡΡΠ°Π²Π»Π΅Π½Π½ΡΡ
ΡΠ΅Π»Π΅ΠΉ, Π±ΡΡΡ Π½Π°ΡΡΡΠΎΠ΅Π½Π½ΡΠΌ Π½Π° ΡΡΠΏΠ΅Ρ
. Π Π΅Π·ΡΠ»ΡΡΠ°ΡΡ
Π°Π½ΠΊΠ΅ΡΠΈΡΠΎΠ²Π°Π½ΠΈΡ ΠΏΠΎΠΊΠ°Π·ΡΠ²Π°ΡΡ, ΡΡΠΎ ΡΡΠΈΠ»Π°Π½ΡΠ΅ΡΡ Π² ΠΎΡΠ»ΠΈΡΠΈΠ΅ ΠΎΡ ΡΠ°Π±ΠΎΡΠ½ΠΈΠΊΠΎΠ² ΡΠΎ ΡΡΠ°Π½Π΄Π°ΡΡΠ½ΠΎΠΉ Π·Π°Π½ΡΡΠΎΡΡΡΡ Π±ΠΎΠ»ΡΡΠ΅ ΡΠΎΠΎΡΠ²Π΅ΡΡΡΠ²ΡΡΡ ΡΡΠΈΠΌ ΡΡΠ΅Π±ΠΎΠ²Π°Π½ΠΈΡ