DOI: 10.33917/mic-6.89.2019.73-79

The algorithm for choosing strategic priorities for the development of social infrastructure is considered as a mechanism for managing territorial socio-economic systems (TSES). The applied approach is supplemented by monitoring the state of health care and education on the basis of a survey of direct consumers of social services at all stages of strategy development. To determine the priority areas for improving social infrastructure, a methodology for assessing the dynamics of the main indicators of the social sphere of TSES is proposed. It is based on determining the increment in the quantitative parameters of objects of health care and education systems. The advantage of the technique is the possibility to use publicly available statistics.

DOI: 10.33917/mic-6.89.2019.80-91

The studies have shown that the resource provision of health care in the Republic of Bashkortostan (RB) in the Volga Federal District (VFD) is low. This is evidenced by the obtained ranks in terms of resource provision for 2017. The resource support factors affecting the change in the gross regional health product and the provision of social services are also investigated. The direct moderate relationship was revealed with such factors as the capacity of outpatient organizations, the number of doctors of all specialties, and labor productivity. The high relationship has been established with the average salary of health workers and the provision of social services with an effective attribute. The economic and mathematical dependence of the gross regional health product on the average wage of workers in this field of activity is built. The model is applicable for predicting the development of healthcare in Bashkortostan.

In the article the state of health care development in the Russian Federation (RF), the Volga Federal District (PFD) and the Republic of Bashkortostan (RB) is analyzed. The study applied indicators of the development of health economics. The target values ​​for 2018 and 2020, reflected in the “Forecast of the long-term socio-economic development of the Russian Federation for the period up to 2030,” were used as the criteria parameters. This document was developed by the Ministry of Economic Development of the Russian Federation. The preliminary assessment of the implementation of the planned indicators of the development of health care in the Russian Federation revealed that in 2015, target indicators for reducing the mortality rate of the population from neoplasms and road accidents were not achieved. In addition, the analysis showed that the ratio of wages of doctors and medical employees to the average wage in the region is below target values, they differ in the regions of the Russian Federation, the Volga Federal District and the categories of employees. The existing problems in health care are solvable only in the conditions of a constant increase in expenditures in this social sphere.

The article correlation-regression models of the number of labor resources and people employed in the economy were built, depending on the average wage by type of activity and the working-age population not engaged in the economy. The assessment of the significance of models by coefficients of variation, correlation, Student’s t-criterion, Fisher’s F-criterion is carried out. The resulting regression models can be applied in practice when forecasting the number of labor resources and people employed in the economy. The contribution of the considered factors to the variation in the number of labor resources, including the population employed in the economy, is determined. It has been established that wages at the meso-level of the national economy are a tool for regulating the labor market and the employment of labor force by types of economic activity.