Научная статья на тему 'Quality of life in the Krasnoyarsk Territory and a problem of human capital formation'

Quality of life in the Krasnoyarsk Territory and a problem of human capital formation Текст научной статьи по специальности «Экономика и бизнес»

CC BY
87
12
i Надоели баннеры? Вы всегда можете отключить рекламу.
Ключевые слова
QUALITY OF LIFE / STANDARD OF LIVING / MIGRATION / HUMAN CAPITAL / КАЧЕСТВО ЖИЗНИ / УРОВЕНЬ ЖИЗНИ / МИГРАЦИЯ / ЧЕЛОВЕЧЕСКИЙ КАПИТАЛ

Аннотация научной статьи по экономике и бизнесу, автор научной работы — Bukharova Evgenia B., Bronskaia Elena Iu., Vorontsova Irina P., Vitkovskaia Ludmila K., Pozdeev Aleksander N.

The paper summarizes the existing approaches to the assessment of the quality of life as an objective characteristic of the living conditions of the population, and clarifies a set of socio-economic indicators of the assessment of the quality of life, the calculation of which is based on official statistics. Based on the fact that the dynamics of the human capital of the Krasnoyarsk Territory, along with other Siberian regions, is mainly caused by migration, the paper presents an analysis of the quality of life of the population of the Krasnoyarsk Territory in comparison with Siberian Federal District and Russia as a whole in order to clarify the aspects of the migration outflow and inflow of the population. The results of the study can be used to develop a monitoring system of migration processes in the region to increase the rationality of the decisions on the development of the human capital of Siberia made by the regional authorities.

i Надоели баннеры? Вы всегда можете отключить рекламу.
iНе можете найти то, что вам нужно? Попробуйте сервис подбора литературы.
i Надоели баннеры? Вы всегда можете отключить рекламу.

Текст научной работы на тему «Quality of life in the Krasnoyarsk Territory and a problem of human capital formation»

Journal of Siberian Federal University. Humanities & Social Sciences 11 (2015 8) 2237-2247

УДК 338.2

Quality of Life in the Krasnoyarsk Territory and a Problem of Human Capital Formation

Evgenia B. Bukharova, Elena Iu. Bronskaia, Irina P. Vorontsova, Ludmila K. Vitkovskaia and Aleksander N. Pozdeev*

Siberian Federal University 79 Svobodny, Krasnoyarsk, 660041, Russia

Received 18.08.2015, received in revised form 26.08.2015, accepted 19.09.2015

The paper summarizes the existing approaches to the assessment of the quality of life as an objective characteristic of the living conditions of the population, and clarifies a set of socio-economic indicators of the assessment of the quality of life, the calculation of which is based on official statistics. Based on the fact that the dynamics of the human capital of the Krasnoyarsk Territory, along with other Siberian regions, is mainly caused by migration, the paper presents an analysis of the quality of life of the population of the Krasnoyarsk Territory in comparison with Siberian Federal District and Russia as a whole in order to clarify the aspects of the migration outflow and inflow of the population. The results of the study can be used to develop a monitoring system of migration processes in the region to increase the rationality of the decisions on the development of the human capital of Siberia made by the regional authorities.

Keywords: quality of life, standard of living, migration, human capital.

The study was funded by Krasnoyarsk Regional Fund of Science and Technology Support of the research Russian Humanitarian Scientific Fund and Krasnoyarsk Krai project named "Methodological approaches to the formation of applied models of analysis and forecasting of economic development of resource regions of Russia in terms of spatial inequality and asymmetry (by the example of the Krasnoyarsk Territory)", projectNo.15-12-24007.

DOI: 10.17516/1997-1370-2015-8-11-2237-2247.

Research area: economics.

Introduction

The Krasnoyarsk Territory (Krasnoyarsk Krai) is one of the largest subjects of the Russian Federation in Siberian Federal District on the area and the major macroeconomic indicators. Such federal projects as the preservation of the export potential in the energy markets, the energy security of the western regions of

the country are implemented in the Territory. However, there is an imbalance of social and economic development of the region, which is indirectly evidenced by the demographic situation that is characterized as tense. The experts predict an absolute shortage of labor resources to implement large investment projects in the Territory (E.B. Bukharova,

© Siberian Federal University. All rights reserved

* Corresponding author E-mail address: lvitkovskaya@sfu-kras.ru

- 2237 -

I.P. Vorontsova, L.K. Vitkovskaia, 2013), which is exacerbated by the structural imbalances of the labor market. The dynamics of the average annual population of the Krasnoyarsk Territory as a whole is determined mainly by migration rather than natural flows. Therefore, the imbalance of economic and social development of the Territory, which led to its low migration attractiveness, is a key problem of human capital formation in the Krasnoyarsk Territory.

In order to develop solutions on the measures to regulate the quality of life of the population to improve its migration attractiveness, it is important to develop approaches to assess the factors of migration outflow and inflow of the population in terms of the quality of life.

The complexity of the assessment of the quality of life, as opposed to the standard of living, lies in the need for a comprehensive, multidisciplinary approach. This paper attempts to characterize the quality of life of the Krasnoyarsk Territory's residents, on the basis of the system of objective economic indicators, which can be recommended as a preliminary "background" study. The advantages of this kind of assessment lie in relatively low labor intensity, high efficiency and the possibility to ensure the comparability of data in the future. The results of an objective assessment of the quality of life can be used to design a social-psychological study of the residents' state of health as an integral characteristic of the quality of their life.

Methods

The approaches to the modeling and assessment of the quality of life in relation to the measured parameters can be divided into objective (S.A. Aivazian, 2003), subjective (G.M. Zarakovskii, 2009; the methods of the World Health Organization) and integral (I.V. Grishina, 2012; T.V. Gavrilova, 2004; B.I. Khasan, L.A. Novopashina, L.A. Vorontsova, 2015).

The approach to the assessment of the quality of life on the basis of objective indicators allows conducting a comparative analysis of Siberian residents' quality of life, as there is official statistics according to the groups of indicators, with a lesser complexity of the study in comparison with social methods.

The analysis of the approaches to the modeling and assessment of the quality of life (G.M. Zarakovskii, 2009; I.V. Grishina, A.O. Polinev, S.A. Timonin, 2012; T.V. Gavrilova, 2004; V. Bulanov and E. Kataitseva, 2011; S.A. Aivazian, 2003; A.E. Kogut and V.E. Rokhchin, 2011; E.K. Chirkunova, 2006; A.A. Shabunova and M.V. Morev, 2012) gives reason to believe that "the quality of life" can be defined as a generalized objective assessment of the characteristics of the population's living conditions, which can be grouped as shown in Table 1. The choice of a set of indicators is conditioned, among other things, by the presence of official statistical information needed to calculate them.

The characteristics of the quality of life of the Krasnoyarsk Territory's population compared to Siberian Federal District (SFD below) and Russia as a whole, presented in this paper, is based on the aforesaid system of the indicators, calculated according to the data from the official website of Federal State Statistics Service of the Russian Federation. Since most of the regional figures are published in official documents with a delay of two years, the paper analyzes the period of 2010-2013.

Results

Module 1. Well-being

The rate and structure of the income of the Krasnoyarsk Territory's population indicates a high level of well-being of its residents compared with other regions of SFD and the Russian Federation. Thus, the Territory is leading in SFD

Table 1. Analyzed aspects of the quality of life and corresponding figures

Aspects of the quality of life Indicators of the quality of life

Module 1. Well-being 1.1 The share of consumer expenditure on recreation and cultural activities, as percentage 1.2 The share of consumer expenditure on food and non-alcoholic beverages, as percentage 1.3 Average money income per month, rubles 1.4 Real money income, as percentage of the previous year 1.5 The number of own passenger cars per 1,000 people, units 1.6 R/P 10 % ratio, times 1.7 Gini coefficient

Module 2. Education Opportunities 2.1 The coverage of children by preschool educational institutions, as percentage of eligible children 2.2 The number of university students per 10,000 population, for 1 September, people

Module 3. Health & Fitness 3.1 Life expectancy at birth, number of years 3.2 Incidence per 1,000 population (registered diseases in patients with a diagnosis determined for the first time) 3.3 Population per hospital bed, people 3.4 The capacity of children's recreational institutions per 1,000 population below working age 3.5 The number of sports facilities per 10,000 population

Module 4. Housing Opportunities 4.1 The total living area per resident, sq. m. 4.2 Average prices at the secondary housing market, rubles per sq. m.

Module 5. Employment Opportunities 5.1 Unemployment rate (by ILO methodology), as percentage 5.2 The rate of the unemployed, who have been looking for a job for 12 months or more, as percentage 5.3 The number of registered vacancies per 1,000 unemployed people 5.4 Average monthly nominal payable wage of employees of organizations, rubles 5.5 Real payable wage, as percentage of the previous year

Module 6. Culture 6.1 The number of museums, per 100,000 population 6.2 The number of theaters, per 100,000 population

Module 7. Life Safety 7.1 The number of reported crimes, per 100,000 population 7.2 The rate of crimes committed by juveniles or involving them, as percentage

Module 8. Environmental Situation 8.1 Emissions of pollutants into the air from stationary sources, per 1,000 sq. m. km of land area, 1,000 tons 8.2 Emissions of pollutants into the atmosphere from stationary sources per 1,000 population, tons

on the size of average income of the population (Fig. 1a), the number of own passenger cars per 1,000 population (Fig. 1b), shows a steady growth of real money incomes of the population (Fig. 1b); besides, the structure of our region's residents' expenditure is slightly dominated by services. However, a high income differentiation of the population, observed for many years, (Fig. 1 g) does not allow concluding that the regional

economy has stable development prospects, and its territory is attractive to young people, highly qualified personnel. In our opinion, it is a high income differentiation of the population that causes the migration situation in the Territory -"The Krasnoyarsk Territory is the territory that "gives" people".

The size of average income of the Krasnoyarsk Territory's population practically

a) Average money income per month, rubles

b) The number of own passenger cars per 1,000 population, units

b) Real money income, as percentage of the previous year

d) R/P 10% ratio, times

Fig. 1. Dynamics of Well-being Indic ators (eource: Federal State Statistics Service: http://krasstat.gks.ru/wps/ wcm/connect/rosstat_ts/krasstat/ru/statistic s/)

corresponds ao ehe natiopal rate; at the same time;, it significantly exceeds tire rate of SFD. So in 2013, the average income in the Territory amounted to 24922 rubles , while the average indicaaoo i n SrD was 20454 rubles.

The population's well-being growth rate in the Territory is relatively small, which is typical for SFD and Russia as a whole (in 2013, the growth in Russia was 4.8 % with respect to 2012, in SFO - 3.8 %, in the Krasnoyarsk Territory - 4, 6 %).

The share of expenditure of the Territory's population on food and non-alcoholic beverages is consistently lower than in Russia and SFD (The Krasnoyarsk Territory - 23.7 %, SFO - 28.6 %, Russia - 27.7 %), while at the same time, the share of expenditure of the Territory's population on recreation and cultural activities lags behind the national rate (6.1 % against 7.2 % in Russia)

and shows the rate that is roughly e qual to SFD (5.9 %).

The number of private cars per 1,000 population iu the Territory grew by 9.6 % (from 250 to 274) in the last 4 years. As for this indicator, here the Territory exceeds the average indicators for SFD and Russia.

High income differentiation is typical for Russia as a whole. We should note a positive decrease trend in income differentiation's indicators in the Territory. Due to high income differentiation, objective indicators of the quality of life in the Module "Well-being" are not sufficiently informative in explaining the causes of migration.

Module 2. Education Opportunities

Comfortable living in the territory is also provided by education opportunities. In terms of

the provision of kindergartens, the Krasnoyarsk Territory is at the bottom of the list of Russian regions, being the 67th there in 2013. In 2013, in Russia in general the coverage of eligible children by pre-school educational institutions was 63 %, and in the Krasnoyarsk Territory - 57.3 %, i.e. almost half of preschool-age children are not able to go to kindergarten.

The specific number of students in higher education institutions in the Territory was steadily decreasing (from 421 per 10,000 population in 2010 down to 359 per 10,000 population in 2013), but it corresponds to the national trend, causes by demographic processes .

Integral (economic, social-psychological) studies of the quality of life (I.P. Vorontsova, B.I. Khasan, L.A. Novopashina, 2015) prove that the prospects for education are a priority for the population. Thus, the situation in the regional education is a sort of driver of migration outflow.

Module 3. Health & Fitness

In terms of life expectancy in 2013, the Krasnoyarsk Territory ranked the 60th place in the rating of Russian regions, exceeding the average rate in SFD for r.5 aears (Fig. 2a). The presence of problems in maintaining the health of the population of the Territory is evidenced by the fact tliat the aveaage life eapectanca in Russrn was steadiiy growing (from 6f .9 in 2010 to 70.8

in 2013), while in the Krasnoyarsk Territory it fluctuated around the value of 68.6 years, despite the fact that the incidence of the population in the Territory was lower than the average one in SFO. Besides, there was the trend to incidence reduction (Fig. 2b), a satisfactory provision of children's recreational institutions (Fig. 3a) and a relatively high possibility to go in for sports (Fig. 3b).

The population's provision with health services in terms of population per hospital bed reduced (108 people in 2013), which was consistently higher than in SFD (100 people in 2013). Such dynamics of the indicator is due to the modernization of the health care system.

The Territory demonstrates a satisfactory rate of provision with children's recreational institutions; this figure is slightly below the average one for SFD, but higher than rhe average national rate. From 2010 to 2013, the capacity of cWldren's recaeariofal institutions per 1,000 people beiow working age in the Krasnoyatsk Territory was approximately at the same level (about 225 people).

An important factor in the quality of liff is the opportufiry to go in for sports. The presence of "yard" sports infrastructure is characterized by such an indicator as the specific number of sports facilities. The availability of spoots facilities in the Territory is almost at the level

a) Life expectancy at birth, number of years

b) Incidence per 1,000 population

Fig. 2. Life Expectancy and Incidence Indicators (Source: Federal State Statistics Service http://krasstat.gks.ru/ wps/wcm/connect/rosstat_ts/krasstat/ru/statistics/)

- 2rOS -

a) Capacity of children's recreational institutions b) The number of sports facilities per 10,000 population

per 1,000 population below working age, people

Fig. 3. Children's Health and Sports Facilities (Source: Federal State Statistics Service http://krasstat.gks.ru/wps/ wcm/connect/rosstat_ts/krasstat/ru/statistics/)

of SFD (17.3 in 2013) and thus is higher than the average Russian one (15.0 in 2013).

Thus, there are good opportunities for sports and recreation, but low life expectancy in the region. Ia our opinion, this is larnely due to the specific uncompensated natural and geographical features of the Territory, as well as adverse envieonmental c onditions (see Mo dule 8).

Module 4. Housing Opportunities

In terms of affordability of housing, it is necessary to note two opposing trends. On the one hand, according to the initial volume of housing and average prices for houring, the residenss of the Territofy have better housing opportunities in comparison with the average rate of SFD (Fig. 4). On the other hand, the growth rate of real incomes of the population is three times lower tloan the growati rate oS housing prices and, consequently, housing for the residents of the Territory becomes less affordable.

On a total area of housing per person the Krasnoyarsk Territory is ahead of the rate of SFD (23 and 22.2 sq. m. in 2013, respectively), but is slightly behind the average national rate (23.4 sq. m. in 2013).

The average price for 1 sq. m of housing in Russia as a whole decreased from 59,998 to

56,478 rubles (by 5.9 %) and in the Territory it incaeased from 36,°65 to 49,578 rable s (by 37.1 %) from 20KT to 201s. The grow thin housing prices may be indicative of a high demand, as new housing is actively under construction in the Territory.

Module 55. Employment Opportunitirs

The Krasnoyarsk Territory has a selatively low unemployment rate: about 5.7 % by ILO methodology (Fig. 5a). According to this indicator, the Territory is in a favorable situation in comparison with SFD, the average indicator of which was 7.2 % io 20s3. Besides, the Territory shows mone optimsstic rates ro terms of long-term unemployment in comparison with Russia and the Federal District (27.5 % in tSe Territory, 34.6 th in SFD, 31.0 % rn Russia in 2013). One moire positive indicator of the Territory is also an indicator of job security of the unemployed (Fig. 5b). However, the question of the real chances of employment of the unemployed, especially of the young and qualified professionals, due to accumulated structural imbalances of the labor market, is still open.

Nominal payable wage in the Territory follows a nationwide trend to growth (Fig. 5c). It

a) Total area of housing per person, sq.m.

b) Average prices at the secondary housing market, rubles

Fig. 4. Housing Market Indicators (Source: Federal State Statistics Service http://krasstat.gks.ru/wps/wcm/ connect/rosstat_ts/kras stat/ru/statistics/)

a) Unemployment rate (by ILO methodology) as percentage

-, Krasnoyarsk Territory

SFD

Russia

b) The number of registered vacancies per 1,000 unemployed people

. Krasnoyarsk Territory

a) Average monthly nominal payable wage of employees of organizations, rubles

109

103 1Q7 106 105

104 103 102 101 lOO

~ Russia SfO

Krasnoyarsk Territory

b) The growth rate of real payable wage, as percentage of the previous year

Fig. 5 - Labor market indicators (Source: Federal State Statistics Service http://krasstat.gks.ru/wps/wcm/connect/ rosstat_tr/krasstat/ru/statistics/)

practically corresponds to the Federal District on its rate, but consistently lags behind the national average rate (27,279 rubles in the Territory, 29.792 rubles in Russia in 2013).

The growth rate of real wage (Fig. 5d) over the period is consistently above 100 %, i.e. the purchasing power of wage increases. In 2013, the growth amounted to: + 4 % in the Territory, +3.9 % in SFD, +4.8 % in Russia compared with 2012. At the same time there is a decline in the growth rate in 2013 compared to 2012.

Module 6. Culture

The provision of the population with museums and theaters (Fig. 6) in the Krasnoyarsk Territory is not different from other regions. The total number of museums in Russia is 3024, in SFD - 426, in the Territory - 48, and theaters -854, 84 and 14, respectively. Per 100,000 population, the number of museums in the Territory is slightly smaller (1.7), compared with the rate of SFD (2.2) find Russia as a whole (2.1). As for the provision with theatres, the Territory's indicators are lower than the national ones (0.49 and 0.59, respectively), but higher than in SFD (0.44).

iНе можете найти то, что вам нужно? Попробуйте сервис подбора литературы.

Thus, the city's culture is not a factor stimulating the outflow of the population to more "cultural and inhabited" territories, as its rate corresponds to the aveoage rate in Russia and

does not significantly differ from the average rate in SFD.

Module 7. Life Safety

During the period under report, there is a general downward trend in the number of reported crimes. However, the Krasnoyarsk Territory, as well as SFO as a whole, is characterized by a high crime rate in comparison with the average rate in Russia (Fig. 7a). In 2013 the number of reported crimes per 100 population in the Territory exceeded the average rate in Russia by 28 %.

Furthermore, such an indicator as the number of crimes committed by children or involving them (Fig. 7b) is of interest in order to assess the quality of life. It describes not only life safety, but also the quality of the education system, and families' well-being. It is necessary to state that the Krasnoyarsk Territory demonstrates a consistently high rate of this indicator compared to the national average one, reflecting the unfavorable situation connected with juvenile delinqutncy.

Module 8. Environmental Situation

The environmental situation can be considered unfavorable.

If we use a traditional indicator (emrssions per unit of lend area, see Fig. 8a), in the Territory

Fig. 6. The number of museums and theaters, per 100,000 population (Source: "Museums of Russia» portal http:// museum.ru (August 20, 2015))

- 22-44 -

a) The number of reported crimes per 100,000 people

b) The rate of crimes committed by juveniles and involving them, as percentage

Fig. 7. Crime Rate Indicators (Source: Federal State Statistics Service http://krasstat.gks.ru/wps/wcm/connect/ rosstat_ts/krasstat/ru/stati stics/)

I Kuisia

'SFD

■ Kraîiwyaiïk Territory

1000 EDO 600 400 200 0

Russia

SFD

U

I Krasnoyarsk Territory

20102011 201!2013

2010 2011 2012 2013

a) Emissions of pollutants into the air from stationary sources, per 1,000 sq. km. of land area, 1,000 tons

b) Emissions of pollutants into the air

from stationary sources, per 1,000 people of land area, tons

Fig. 8. Environmental Situation Indicators (Source: Federal State Statistics Service http://krasstat.gks.ru/wps/ wcm/connect/rosstat_ts/krasstat/ru/statistics/)

it is significantly lower than this average one in Russia (lower ba 2 %) and SFD (bo 6.7 %). However, it should be taken into account, that the densiVy of the population in the Territory is about 7 times less than that of Russia and 3 times less compared to SFD; and the real rrte of pollution can be significantly higher. Therefore, we have calculated an alternative indicator, which characterizes the number of pollutants per 1,000 population living in the Tehrito ry (Fiji;. 8b).

The analysis of the indicators of the environmental situation i n hhe Territory showed that tie raOe of harmful sub stances per 1,000

population in nOe TcmOory in 20 13 erceeded the national average one by 6.8 times, and the rate of that in SFD - by 2.9 times.

Thus, ir wall be difficult to solve the problem oh low life expertancy as cn element of human cnpital without e competegt environmental policy.

Conclusion

The key aspects of migration in terms of the quality of life of the Territory's population should tie divided into 2 gronps : promoliag the inflow and promoting the outflow of population.

- 22U5 -

In our opinion, the aspects of the quality of life, causing migration inflow, can be:

1. A high rate of population's income.

2. Good prospects for housing provision.

3. A relatively high rate of availability of cultural objects.

The aspects of the quality of life of The Krasnoyarsk Territory's population, causing migration outflow, can be:

1. High income differentiation.

2. Relatively low life expectancy.

3. High growth rates of housing prices compared with the growth rates of real incomes of the population.

4. A high crime rate, especially in comparison with the average indicator in Russia and SFD, as well as a high rate of juvenile delinquency.

5. Environmental risks.

References

Aivazian, S. A. (2003). K metodologii izmereniia sinteticheskikh kategorii kachestva zhizni naseleniia [On the measurement methodology of synthetic categories of the population's quality of life]. Economics and mathematical methods, 2, 33.

Bukharova, E.B., Vorontsova, I.P., Vitkovskaia, L.K., Lapo, V.F., Semenova, A.R., Tsybatov, V.A. & Shilova, E.V. Otsenkafactorov i ogranichenii strategicheskogo razvitiia chelovecheskogo potentsiala i predprinimatel 'skoi sredy resursnykh regionov [Assessment of the factors and restrictions of human potential strategic development and business environment of resource regions]. Krasnoyarsk, Siberian Federal University, 2013, p. 312.

Bulanov, V. & Kataitseva, E. Chelovecheskii capital kak forma proiavleniia chelovecheskogo potentsiala [Human capital as a form of manifestation of human potential]. Society and economy, 2011, 1, 13-22.

Chirkunova, E. K. (2006). Nekotorye aspecty otsenki kachestva zhizni naseleniia [Some aspects of assessment of population's quality of life]. Bulletin of Samara State University, 3, 67-71.

Gavrilova, T.V. (2004). Printsipy i metody issledovaniia kachestva zhizni naseleniia [The principles and methods of research of population's quality of life]. The technologies of the quality of life, 4(2), 8-9.

Grishina, I.V., Polynev, A.O. & Timonin, S.A. (2012). Kachestvo zhizni naseleniia regionov Rossii: metodologiia issledovaniia i resul'taty kompleksnoi otsenki [The quality of life of Russian regions' population: the methodology of research and the results of complex assessment]. Sovremennye proizvoditel'nye sily, 1, 70-83.

Kogut, A. E. & Rokhchin, V.E. Regional 'nyi monitoring: kachestvo zhizni naseleniia [Regional monitoring: the quality of life of the population]. Saint-Petersburg, 2011, p. 13.

Quality of life index. The Economist Intelligence Unit's quality of life index. URL: http://www. economist.com/media/pdf/QUALITY_OF_LIFE.pdf.

The Economist Intelligence Unit's quality-of-life index. Available at: http://www.economist.com/ media/pdf/QUALITY_OF_LIFE.pdf (accessed on 2 September, 2015).

Shabunova, A.A. & Morev, M.V. (2012). Predstavlenie vologzhan o schast'e [The idea of happiness of Vologda residents]. Economic and social changes: facts, tendencies, forecast, 1, 137-150.

Vorontsova, I. P., Novopashina, L.A., Khasan, B.I. Professional 'no-strukturnye i psikhologicheskie aspekty modeli upravleniia i monitoring kachestva zhizni v regione [Professional-structural and

- 2246 -

psychological aspects of a model of management and monitoring of the quality of life in the region]. Krasnoyarsk, Siberian Federal University, 2015, 152 p.

Zarakovskii G.M. Kachestvo zhizni naseleniia Rossii: psikhologicheskie sostavliaushchie [The quality of life of Russian population: psychological components]. Moscow, Smysl, 2009, 320 p.

Качество жизни в Красноярском крае и проблема формирования человеческого капитала

Е.Б. Бухарова, Е.Ю. Бронская, И.П. Воронцова, Л.К. Витковская, А.Н. Поздеев

Сибирский федеральный университет Россия, 660041, Красноярск, пр. Свободный, 79

В статье обобщены существующие подходы к оценке качества жизни как объективной характеристики условий жизни населения и уточнен набор социально-экономических показателей оценки качества жизни, расчет которых базируется на данных официальной статистики. Исходя из факта, что динамику человеческого капитала Красноярского края, как и других регионов Сибири, обуславливает преимущественно миграция, представлен анализ качества жизни населения края по сравнению с Сибирским федеральным округом и Россией в целом с целью уточнения аспектов миграционного оттока и притока населения. Результаты исследования могут быть использованы в целях разработки системы мониторинга миграционных процессов в регионе для повышения рациональности принимаемых региональными органами власти решений по развитию человеческого капитала регионов Сибири.

Ключевые слова: качество жизни, уровень жизни, миграция, человеческий капитал.

Исследование выполнено при финансовой поддержке РГНФ и Красноярского края проекта проведения научных исследований «Методологические подходы к формированию прикладных моделей анализа и прогнозирования развития экономики ресурсных регионов России в условиях пространственного неравенства и асимметрии (на примере Красноярского края)», проект №15-12-24007.

Научная специальность: 08.00.00 - экономические науки.

i Надоели баннеры? Вы всегда можете отключить рекламу.