Factorial approach to population life quality management

UDC 316.4; 338.2
Publication date: 25.01.2017
International Journal of Professional Science №1-2017

Factorial approach to population life quality management

Zakharova S. G.
Ph.D., Associate Professor of Management and Public Administration Nizhny Novgorod state University named after N.I. Lobachevsky
Nizhny Novgorod, Russia
svetlana-nngu@mail.ru
Abstract: The article defines the term of population life quality. The main components characterizing the life quality of population have been revealed. The factorial approach to population income level increase has been represented graphically. The factors that impact on the life quality of population by the management system have been reviewed. The author has represented graphically the administrative impact by the municipal authorities on the life quality of population, which relates to creation of the conditions for economical, medico-ecological and culture-spiritual development of the municipal district. The interview with the respondents about the percentage distribution of the components constituting the life quality of population has been analyzed by comparing both predicted and actual values. The possible reasons for difference between the predicted and actual values of the components constituting the life quality of population have been found. The opportunities of the author-suggested factorial model of population life quality management for development of territories have been assessed.
Keywords: life quality, municipal districts, the factor model of population life quality management, estimation of the population life quality components


The institutional transformations of contemporary Russia are primarily aimed to principally change the life quality of population [3]. The population life quality management process provides the managing impact on the state and municipal socio-economical interrelations; however, it is not a simple task to assess the efficiency of such impact. Due to the fact that GOST ISO 9001-2011 defines the term “quality” itself as the degree of compliance of the total of inherent characteristics with the certain consumer requirements, the life quality of population will be understood as the degree of compliance of the total of inherent life-activity characteristics with the certain population requirements. The evaluation of “population life quality” by the scientists of different scientific schools [6] assumes the evaluation of the hierarchic system of the factors, criteria, and indicators that characterize comprehensively the economic development of society, material welfare level, medico-ecological and culture-spiritual well-being of population.

The institutional reforms discover the new capabilities to increase the population well-being level by means of the extra income sources [1]. From the factorial approach, the population revenues allow for not only labor payment but also returns on investment in the form of dividends, interests, property income, and the broad capabilities to use entrepreneurial skills [2]. According the Government of Russia, the revenues from sales of the production factors that are in ownership and economical processes shall significantly increase the quality of population life. In addition, the factorial model of population life quality management proposed by the author (Fig.1) [4] allows showing pictorially not only the capabilities to increase the population well-being level but also the managing system’s role in population life activity. The managing impact by the state and municipal authorities is to create a developed infrastructure, comfortable institutional environment, and special investment climate that ensure the conditions to implement easily the production factors in the economic territory [5]. Aimed to increase the quality of population life, the socio-economic system being interrelated functionally inside enables to determine the new horizons of economical, medico-ecological, and culture-spiritual development of the territory.

The factorial model of population life quality management under consideration shows the availability of three input factors which impact cannot be assessed by direct quantitative indicators but they are able to significantly change the life quality of population.

Figure 1 Factor model of population life quality management [4]

For the proposed factor model of population life quality management, the comprehensive population life quality study was conducted at the rural and municipal districts of the Nizhni Novgorod Region from 2010 to 2014, where more than 1500 persons with higher and incomplete higher education took part. The respondents were proposed to asses on a scale from one to ten their life quality components that include the general economic development, population income, spiritual well-being, and medico-ecological welfare levels. The respondents indicated their own satisfaction levels in each individual life-activity area as the degree of compliance of their requirements for the total of inherent characteristics with their life quality components. For the study, the respondents were suggested to make a prediction for 2015-2016. A portion of the study results was in the earlier works of the author [7], a complete analysis of the sociological interview results is in Table 1.

2015-2016 study was supplemented by the interview with more than 300 habitants of the Nizhni Novgorod Region of different age-grade, where assessment was “on actual basis”.

Table 1

Sociologic assessment of population life quality components for 2010-2016, score

Components that characterize population life quality Life quality assessment by population on a scale from one to ten
2010 2012 2014 2015

prediction

2015 2016

prediction

2016
General economic development level 6.6 6.02 5.76 4.94 5.04 5.82 6.78
Population material well-being level 6.36 5.98 5.86 4.68 5.08 5.90 6.41
Medico-ecological service level 5.98 5.94 5.90 4.92 5.22 5.40 5.67
Culture-spiritual and patriotic development level 6.38 5.74 5.72 7.12 7.78 7.46 7.04
Average integral indicator 6.33 5.92 5.81 5.42 5.78 6.15 6.48

The sociological study has shown that the predictive assessments of the life quality of population in Russia were significantly worse than the actual assessments given by the respondents on the results of the preceding years. This can be due to both the general-political situation around Russia and the negative prediction for the results of imposed sanctions. As per the prediction, in 2015, the population life quality integral indicator was expected to be reduced by 7.96% compared to 2014, and the general economic development value – by 14.26%. According to the respondents, yet more significant reduction was predicted for the population material well-being indicator group from 6.36 scores in 2010 to 4.68 scores in 2015 i.e. by 26.42%.  As is seen from the table, the pessimistic predictions were not came true; the population life quality category estimations have increased by 2016 and exceeded a little the level of 2010. Figure 2 shows that three significant categories of the life quality population reduced in 2015.

Figure 2. Sociological assessment of population life quality for 2010-2016 (actual)

Equalization of the integral indicator of population life quality is due to significant growth of the values for the indicator group of culture-spiritual (patriotic) well-being that has grown by 24.48% [7]. According to the respondents, it is mainly due to prolonged action of the earlier investments in the creation of sport and recreation centers over the entire region and in the mobilization of patriotic spirit among young people.

The predicted and actual quantitations of the population life quality categories are shown pictorially in Figure 3.

Figure 3. Sociological assessment of population life quality for 2015-2016 (prediction/actual)

Figure 3 data shows that by 2016 the satisfaction of population with the actual state of things in terms of the factor model of population life quality management was growing. All the categories were assessed above 5.57 scores on a scale from one to ten. By 2016, the people of the Nizhni Novgorod of Russia were satisfied with their material welfare assessed to be 6.41 scores and the general economic development level assessed to be 6.78 scores. The curve demonstrates pictorially the significant differences between the predicted and actual population life quality assessments in coordination of the components of the proposed factor model. Within this study.

The problem of evaluation of the direct influence by activity of the government and municipal authorities on population life quality is extremely severe and topical. The studies show that the population life level and quality are depending largely on both the revenues of population and other components of social activity. The factory model of population life quality management proposed by the author allows assessing the indirect impact of environmental factors on population life quality, using the quantitative indicators; and from the analysis of this impact, the main management solutions in the area of institutional and investment territory development policy can be formed.

References

1. Zakharova S. G., Maslennikov N. A. Money income generation assessment within the institutional transformations of population life quality at the rural and municipal districts // Innovations and investments. 2013. No. 3. p. 89-92.
2. Zakharova S. G., Maslennikov N. A. The regular patterns of population life quality modification as an indicator of the institutional transformations in Russia// Economics and management of management systems. 2013. No. 2.1. p. 134-143.
3. Zakharova S. G., Kulagina E. N. Institutional innovative transformations of municipal district’s social branches// Bulletin of Nizhni Novgorod State University named after N. I. Lobachevski. No. 2-2. 2012. p. 141-149
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7. Zakharova S. G., Sergeichev N. Yu. The population life quality modification tendencies at rural municipal regions under the influence of program budget// Increase in managerial, economical, social, and innovative technical potential of enterprises, branches, and people economic centers. Penza: Collected works of VIII International research-to-practice conference.2016. p. 31-36