Candidate of economic Sciences, Kabashova E.V.

Bashkir State Agrarian University, Ufa, Russia

THE LIVING WAGE AND ITS IMPACT ON INCOME

 

The subsistence minimum is the valuation of the consumer basket, compulsory payments and fees. The consumer basket includes minimum set of food products or services, as well as food and things needed for the life of the citizen and the preservation of his health.

The living wage is an official guarantee to determine the state of social standards in areas such as: income, housing, utilities, household and socio-cultural services, health and education.

The size of the subsistence level established in accordance with the decree of the Government of the Russian Federation in accordance with the provisions of the Federal law «On the subsistence minimum in the Russian Federation» (24.10.1997).

According to this law, the subsistence minimum in the Russian Federation and its constituent entities are designed to:

 – assessment of the level of living of the population of the Russian Federation in the development and implementation of social policy and Federal social programs;

– justification set forth at the Federal level of the minimum wage, as well as the definition set forth at the Federal level the size of scholarships, allowances and other social payments;

– formation of the Federal budget;

– assessment of the level of living of the population of the corresponding subject of the Russian Federation in the development and implementation of regional social programs;

– provide the necessary state social help to needy citizens;

– generation of budgets of subjects of the Russian Federation;

– other established Federal law purposes.

The statistical indicators of the subsistence minimum include the following:

– the subsistence minimum for able-bodied persons;

– the subsistence minimum for children;

– the cost of living for pensioners;

– average cost of living per capita;

– the basic minimum social guarantees established by the legislation of the Russian Federation in relation to the subsistence minimum. For such guarantees include: minimum wage, the monthly allowance for the period of leave to care for a child under the age of eighteen, the minimum size of unemployment benefits, the size of the state academic scholarships for students enrolled in educational programs, and other);

– the ratio of gross wages or per capita incomes with the subsistence level.

Thus, at the regional level and in the whole country on the income level of the population equally important is having the minimum subsistence level.

To characterize the dependence of average per capita monetary incomes of the subsistence minimum in the regions of Central Federal district of the Russian Federation in 2014 we used correlation and regression analysis, whose main tasks are:

1) measurement of the parameters of the regression equation characterizing the relationship between the variation of resultant variable and the variation of the factor variable;

2) measurement of correlation of two (or more) signs to each other;

3) selection of the most important factors influencing the variation of resultant variable in the aggregate;

4) assessment of the significance and reliability of results of regression and correlation.

The results of econometric modeling for linear and nonlinear functions are presented in table 1.

According to the table 1 it is seen that all the mathematical functions (except the hyperbola) between subsistence level and income level of the population there is a strong relationship because the correlation coefficient is greater than 0,7.

Table 1. Comparative analysis of the results of the pair regression and correlation

The regression equation

The correlation coefficient

The determination coefficient

F-Fisher criterion

= -15334,25+5,12·õ

0,841

0,707

38,67

=

0,777

0,603

24,30

 = 0,699·õ1,22

0,729

0,532

18,171

 = - 372209+44332 ln(x)

0,793

0,629

27,13

 = 94985 - 19,277·õ +0,001·õ2

0,931

0,867

48,76

=

0,540

0,735

18,81

 

Most adequately the dependency between variables describes a parabolic function presented in figure 1.

Figure 1  Parabolic dependence of the amount of per capita

income from the minimum subsistence level

 

A parabolic dependence implies that 86.7% of the variation in income levels is due to the variation of the minimum subsistence level. The assessment of the significance of the regression equation will hold with the help of F-Fisher criterion, comparing its actual value with the table. Since the actual value is greater than table, the multiple regression equation is statistically significant and reliable and can be used for analysis and forecasting.

Thus, with the help of correlation and regression analysis proved a significant influence of the subsistence minimum on the level of income of the population as the guarantor of social protection of the population.

 

Literature

1. Federal law "On subsistence minimum in the Russian Federation" from 24.10.1997 ¹134-FZ // ConsultantPlus. – Open access: http://www.consultant.ru/document/cons_doc_LAW_16565/ - 23.11.2016.

2. Zherebin V. M. Indicators of population life quality / V. M. Zherebin // Questions of statistics. – 2012. – N 3. – P. 25-36.

3. Ivanova E. S. Statistical study of the dynamics of use of labor resources at the enterprise / E. S. Ivanova, E. V. Kabashova // Modern trends in science and industry: proceedings of the III International scientific-practical conference. 2016. – P. 252-254.

4. Kabashova E. V. The use of models of multiple regression in the analysis of the incomes // Scientific review. Actual problems and prospects of economic development: Russian and foreign experience: scientific review teachers, postgraduates, masters and students of Russian universities. Moscow: Buki-Vedi, 2016. – P. 8-10.

5. Kabashova E. V. Statistical research of incomes and their differentiation in the Republic of Bashkortostan: monograph / E. V. Kabashova, N. T. Rafikova. – Ufa, Publishing House: «Health Of Bashkortostan», 2008. – 127 p.

6. Kabashova E. V. Study of population incomes: the philosophical aspect // Scientific provision of sustainable development of agriculture: materials of All-Russian scientific-practical conference. Ufa, 2011. – P. 355-363.

7. Regions of Russia. Socio-economic indicators. 2015: Stat collection / Rosstat. M., 2015. – 1266 p.