
Teaching Staff’s Salaries in Regions of the Far North: Economic and Statistical Analysis
Author(s) -
Larisa Karaseva,
А.А. Охрименко
Publication year - 2020
Publication title -
voprosy statistiki
Language(s) - English
Resource type - Journals
eISSN - 2658-5499
pISSN - 2313-6383
DOI - 10.34023/2313-6383-2020-27-3-81-93
Subject(s) - salary , remuneration , decree , russian federation , presidential system , value (mathematics) , accounting , economics , demographic economics , political science , economic growth , statistics , finance , economic policy , mathematics , law , market economy , politics
This article covers selected results of economic and statistical analysis of the dynamics of teaching staff’s remuneration in 12 regions of the Russian Federation, the territory of which completely belongs to the Far North and equated areas as of 01.01.2019. The growth tendencies in remuneration of teaching staff at two levels of the educational system preschool and general education (including as compared to Russia as a whole) were revealed, as well as problems encountered in 2013-2018 in connection with the implementation of Presidential Executive Order No. 597 of May 7, 2012 «On Measures to Implement the State Social Policy». The authors argue the need for widespread use of the average annual absolute value of one percent growth, which allows to correctly validate the nal rating of the country’s regions by average wages level. The indicator «advance coefficient» is proposed, which allows to highlight the main factors of fulllment or nonfulllment of the 2012 May Decree of the President of the Russian Federation in certain regions of the country. The article states that the achievement of the salary targets for each year of the period under review is determined by a combination of two factors: the level of implementation of the target indicator in the base year and the advance coefficient, which is the ratio between the growth rate of teachers’ salaries and the growth rate of the Presidential Decree of 2012’s target indicator. According to the authors, improved methods of economic and statistical analysis shall improve forecast estimates accuracy, which in turn is necessary to outline concrete steps to implement social tasks of national importance concerning each of the regions under consideration.