22 research outputs found
Russiaβs Birth Rate Dynamics Forecasting
This article covers contemporary issues of Russiaβs population reproduction, their causes and the state policy aimed to overcome the same. The urgency to fulfill the task related to assessment of the most probable future dynamics of Russiaβs population birth rate in the context of a low child-woman ratio, and subject to an impact of pronatalist policies implemented by the state, is justified. In order to fulfill the task based on the crude birth rate behavior probability distribution function, a probabilistic assessment of future dynamics of Russiaβs population reproduction has been carried out. Based on a modernized method suggested by Hurst, the following two forecasting paths of the crude birth rate dynamics have been built: the first path conforms to the scenario where a value of the crude birth rate is to tend to values between 8β10.5 births/1,000 people (probability is 0.182), in particular, through a negative external impact, the second path is to tend to values between 13β16.5 births/1,000 people (probability β 0.618), in particular, through a positive external impact. Notwithstanding that these scenarios significantly differ from each other, the paths of the crude birth rate dynamics for 2015β2041, corresponding to the reliable prediction time, forecasted according to the abovementioned scenarios, are virtually identical. The analysis of the findings allowed for the conclusion that the state demographic policy is not capable of having a significant impact on the future dynamics of the birth rate, substantially determined by the current situation and conjuncture shifts. These conclusions confirm the view prevailing in academic circles and suggesting that the state regulation of Russiaβs demographic situation should be primarily focused on the improvement in health and a rise in the life expectancy of the population.The research has been prepared with the support of the Russian Science Foundation grant (Project No. 14-18-00574 βInformation and analytic systems βAnticrisisβ: diagnostics of the regions, threat evaluation and scenario forecasting to preserve and reinforce the welfare of Russiaβ)
ΠΠΎΠ·ΠΌΠΎΠΆΠ½ΠΎΡΡΠΈ Π½Π°ΡΠΊΠΈ Π² ΠΈΠ½Π½ΠΎΠ²Π°ΡΠΈΠΎΠ½Π½ΠΎΠΌ ΡΠ°Π·Π²ΠΈΡΠΈΠΈ: Β«ΠΈΠ·ΠΌΠ΅ΡΠ΅Π½ΠΈΠ΅ ΡΠ΅Ρ Π½ΠΎΠ»ΠΎΠ³ΠΈΠΉΒ»
The purpose of the study is to identify the main conditions that ensure the influence of science on innovation, especially in terms of technological innovation. Comparative and structural analysis, application of measurement procedures, and evaluation of empirical data constitute the methodology of the study. The results of the study can be reduced to a number of provisions confirmed by analysis. Firstly, in Russia, in the course of permanent reorganizations, the institutional, informational, funding, and even personnel potential (due to a reduction in the number of researchers) was greatly weakened. Thus, the impact of scientific knowledge on the innovation process was clearly reduced, although the thesis that innovations are always results of scientific activities is difficult to dispute. Secondly, we should not talk about it as a direct relationship, but through the time lags. It is they who become a stumbling block in the conducting and planning current scientific and technological policy. Thirdly, the author has showed the main problems of technological innovation in Russia, identified in the course of many years of authorβs research, supporting the important conclusion about the lack of an accurate representation and measurement of the level of technological effectiveness of the economy. The author has also proposed to solve this problem by detailing and improving accounting and statistical procedures in the field of technology, e. g., by means of technological maps, as well as by introducing an indicator as technology coverage of relevant objects (enterprises, regions, etc.). The current piece measurement of technologies does not consider coverage. Such an omission causes a significant distortion in the assessment of the technological level, as well as in further studies of the relationship between basic science, R&D, and technological development.Π¦Π΅Π»ΡΡ ΡΡΠ°ΡΡΠΈ Π²ΡΡΡΡΠΏΠ°Π΅Ρ Π²ΡΡΠ²Π»Π΅Π½ΠΈΠ΅ ΠΎΡΠ½ΠΎΠ²Π½ΡΡ
ΡΡΠ»ΠΎΠ²ΠΈΠΉ, ΠΎΠ±Π΅ΡΠΏΠ΅ΡΠΈΠ²Π°ΡΡΠΈΡ
Π²Π»ΠΈΡΠ½ΠΈΠ΅ Π½Π°ΡΠΊΠΈ ΠΊΠ°ΠΊ ΡΡΠ΅ΡΡ Π΄Π΅ΡΡΠ΅Π»ΡΠ½ΠΎΡΡΠΈ Π½Π° ΠΈΠ½Π½ΠΎΠ²Π°ΡΠΈΠΈ, ΠΎΡΠΎΠ±Π΅Π½Π½ΠΎ Π² ΡΠ°Π·ΡΠ΅Π·Π΅ ΡΠ΅Ρ
Π½ΠΎΠ»ΠΎΠ³ΠΈΡΠ΅ΡΠΊΠΈΡ
ΠΈΠ½Π½ΠΎΠ²Π°ΡΠΈΠΉ. ΠΠ΅ΡΠΎΠ΄ΠΎΠ»ΠΎΠ³ΠΈΡ ΡΠΎΡΡΠ°Π²Π»ΡΠ΅Ρ ΡΡΠ°Π²Π½ΠΈΡΠ΅Π»ΡΠ½ΡΠΉ ΠΈ ΡΡΡΡΠΊΡΡΡΠ½ΡΠΉ Π°Π½Π°Π»ΠΈΠ·, ΠΏΡΠΈΠΌΠ΅Π½Π΅Π½ΠΈΠ΅ ΠΈΠ·ΠΌΠ΅ΡΠΈΡΠ΅Π»ΡΠ½ΡΡ
ΠΏΡΠΎΡΠ΅Π΄ΡΡ, ΠΎΡΠ΅Π½ΠΊΠ° ΡΠΌΠΏΠΈΡΠΈΡΠ΅ΡΠΊΠΈΡ
Π΄Π°Π½Π½ΡΡ
. ΠΠ±ΡΠΈΠΉ ΡΠ΅Π·ΡΠ»ΡΡΠ°Ρ ΠΈΡΡΠ»Π΅Π΄ΠΎΠ²Π°Π½ΠΈΡ ΡΠ²ΠΎΠ΄ΠΈΡΡΡ ΠΊ ΡΡΠ΄Ρ ΠΏΠΎΠ΄ΡΠ²Π΅ΡΠΆΠ΄ΡΠ½Π½ΡΡ
Π°Π½Π°Π»ΠΈΠ·ΠΎΠΌ ΠΏΠΎΠ»ΠΎΠΆΠ΅Π½ΠΈΠΉ. ΠΠΎ-ΠΏΠ΅ΡΠ²ΡΡ
, Π² Π ΠΎΡΡΠΈΠΈ Π² Ρ
ΠΎΠ΄Π΅ ΠΏΠ΅ΡΠΌΠ°Π½Π΅Π½ΡΠ½ΡΡ
ΡΠ΅ΠΎΡΠ³Π°Π½ΠΈΠ·Π°ΡΠΈΠΉ ΡΠΈΠ»ΡΠ½ΠΎ Π±ΡΠ» ΠΎΡΠ»Π°Π±Π»Π΅Π½ ΠΈΠ½ΡΡΠΈΡΡΡΠΈΠΎΠ½Π°Π»ΡΠ½ΡΠΉ, ΠΈΠ½ΡΠΎΡΠΌΠ°ΡΠΈΠΎΠ½Π½ΡΠΉ, ΡΠΎΠ½Π΄ΠΎΠ²ΡΠΉ ΠΈ Π΄Π°ΠΆΠ΅ ΠΊΠ°Π΄ΡΠΎΠ²ΡΠΉ ΠΏΠΎΡΠ΅Π½ΡΠΈΠ°Π» (Π·Π° ΡΡΡΡ ΡΠΎΠΊΡΠ°ΡΠ΅Π½ΠΈΡ ΡΠΈΡΠ»Π° ΠΈΡΡΠ»Π΅Π΄ΠΎΠ²Π°ΡΠ΅Π»Π΅ΠΉ), ΡΠ»Π΅Π΄ΠΎΠ²Π°ΡΠ΅Π»ΡΠ½ΠΎ, ΡΠ²Π½ΠΎ ΠΏΠΎΠ½ΠΈΠΆΠ΅Π½ΠΎ Π²Π»ΠΈΡΠ½ΠΈΠ΅ Π½Π°ΡΡΠ½ΠΎΠ³ΠΎ Π·Π½Π°Π½ΠΈΡ Π½Π° ΠΈΠ½Π½ΠΎΠ²Π°ΡΠΈΠΎΠ½Π½ΡΠΉ ΠΏΡΠΎΡΠ΅ΡΡ, Ρ
ΠΎΡΡ ΡΠ΅Π·ΠΈΡ, ΡΡΠΎ ΠΈΠ½Π½ΠΎΠ²Π°ΡΠΈΠΈ Π²ΡΠ΅Π³Π΄Π° ΡΠ²Π»ΡΡΡΡΡ ΡΠ°ΠΊ ΠΈΠ»ΠΈ ΠΈΠ½Π°ΡΠ΅ ΡΠ΅Π·ΡΠ»ΡΡΠ°ΡΠ°ΠΌΠΈ Π½Π°ΡΡΠ½ΠΎΠΉ Π΄Π΅ΡΡΠ΅Π»ΡΠ½ΠΎΡΡΠΈ, ΡΡΡΠ΄Π½ΠΎ ΠΎΡΠΏΠΎΡΠΈΡΡ. ΠΠΎ-Π²ΡΠΎΡΡΡ
, ΡΠ΅ΡΡ ΡΠ»Π΅Π΄ΡΠ΅Ρ Π²Π΅ΡΡΠΈ Π½Π΅ ΠΎ ΠΏΡΡΠΌΠΎΠΉ ΡΠ°ΠΊΠΎΠΉ ΡΠ²ΡΠ·ΠΈ, Π° ΡΠ΅ΡΠ΅Π· Π»Π°Π³ΠΈ ΠΏΠΎ Π²ΡΠ΅ΠΌΠ΅Π½ΠΈ. ΠΠΌΠ΅Π½Π½ΠΎ ΠΎΠ½ΠΈ ΡΡΠ°Π½ΠΎΠ²ΡΡΡΡ ΠΊΠ°ΠΌΠ½Π΅ΠΌ ΠΏΡΠ΅ΡΠΊΠ½ΠΎΠ²Π΅Π½ΠΈΡ Π² ΠΏΡΠΎΠ²Π΅Π΄Π΅Π½ΠΈΠΈ ΠΈ ΠΏΠ»Π°Π½ΠΈΡΠΎΠ²Π°Π½ΠΈΠΈ ΡΠ΅ΠΊΡΡΠ΅ΠΉ Π½Π°ΡΡΠ½ΠΎ-ΡΠ΅Ρ
Π½ΠΈΡΠ΅ΡΠΊΠΎΠΉ ΠΏΠΎΠ»ΠΈΡΠΈΠΊΠΈ. Π-ΡΡΠ΅ΡΡΠΈΡ
, ΠΏΠΎΠΊΠ°Π·Π°Π½Ρ ΠΎΡΠ½ΠΎΠ²Π½ΡΠ΅ ΠΏΡΠΎΠ±Π»Π΅ΠΌΡ ΡΠ΅Ρ
Π½ΠΎΠ»ΠΎΠ³ΠΈΡΠ΅ΡΠΊΠΈΡ
ΠΈΠ½Π½ΠΎΠ²Π°ΡΠΈΠΉ Π΄Π»Ρ Π ΠΎΡΡΠΈΠΈ, Π²ΡΡΠ²Π»Π΅Π½Π½ΡΠ΅ Π² Ρ
ΠΎΠ΄Π΅ ΠΌΠ½ΠΎΠ³ΠΎΠ»Π΅ΡΠ½ΠΈΡ
ΠΈΡΡΠ»Π΅Π΄ΠΎΠ²Π°Π½ΠΈΠΉ Π°Π²ΡΠΎΡΠ°ΠΌΠΈ, ΠΏΠΎΠ΄ΡΠ²Π΅ΡΠΆΠ΄Π°ΡΡΠΈΠ΅ Π²Π°ΠΆΠ½ΡΠΉ Π²ΡΠ²ΠΎΠ΄ ΠΎΠ± ΠΎΡΡΡΡΡΡΠ²ΠΈΠΈ ΡΠΎΡΠ½ΠΎΠ³ΠΎ ΠΏΡΠ΅Π΄ΡΡΠ°Π²Π»Π΅Π½ΠΈΡ ΠΈ ΠΈΠ·ΠΌΠ΅ΡΠ΅Π½ΠΈΡ ΡΡΠΎΠ²Π½Ρ ΡΠ΅Ρ
Π½ΠΎΠ»ΠΎΠ³ΠΈΡΠ½ΠΎΡΡΠΈ ΡΠΊΠΎΠ½ΠΎΠΌΠΈΠΊΠΈ. ΠΡΠ΅Π΄Π»Π°Π³Π°Π΅ΡΡΡ ΡΠ΅ΡΠ°ΡΡ Π΄Π°Π½Π½ΡΡ ΠΏΡΠΎΠ±Π»Π΅ΠΌΡ Π·Π° ΡΡΡΡ Π΄Π΅ΡΠ°Π»ΠΈΠ·Π°ΡΠΈΠΈ ΠΈ ΡΠΎΠ²Π΅ΡΡΠ΅Π½ΡΡΠ²ΠΎΠ²Π°Π½ΠΈΡ ΡΡΡΡΠ½ΠΎ-ΡΡΠ°ΡΠΈΡΡΠΈΡΠ΅ΡΠΊΠΈΡ
ΠΏΡΠΎΡΠ΅Π΄ΡΡ Π² ΠΎΠ±Π»Π°ΡΡΠΈ ΡΠ΅Ρ
Π½ΠΎΠ»ΠΎΠ³ΠΈΠΉ, Π½Π°ΠΏΡΠΈΠΌΠ΅Ρ, ΠΏΠΎΡΡΠ΅Π΄ΡΡΠ²ΠΎΠΌ ΡΠ΅Ρ
Π½ΠΎΠ»ΠΎΠ³ΠΈΡΠ΅ΡΠΊΠΈΡ
ΠΊΠ°ΡΡ, Π° ΡΠ°ΠΊΠΆΠ΅ Π²Π²ΠΎΠ΄ΠΎΠΌ ΡΠ°ΠΊΠΎΠ³ΠΎ ΠΏΠΎΠΊΠ°Π·Π°ΡΠ΅Π»Ρ ΠΊΠ°ΠΊ ΠΎΡ
Π²Π°Ρ ΡΠ΅Ρ
Π½ΠΎΠ»ΠΎΠ³ΠΈΠ΅ΠΉ ΡΠΎΠΎΡΠ²Π΅ΡΡΡΠ²ΡΡΡΠΈΡ
ΠΎΠ±ΡΠ΅ΠΊΡΠΎΠ² (ΠΏΡΠ΅Π΄ΠΏΡΠΈΡΡΠΈΠΉ, ΡΠ΅Π³ΠΈΠΎΠ½ΠΎΠ² ΠΈ Ρ. Π΄.). Π‘ΡΡΠ΅ΡΡΠ²ΡΡΡΠΈΠΉ ΡΡΡΡΠ½ΡΠΉ ΡΡΡΡ ΡΠ΅Ρ
Π½ΠΎΠ»ΠΎΠ³ΠΈΠΉ ΠΈΠ·Π±Π΅Π³Π°Π΅Ρ ΠΎΡΠ΅Π½ΠΊΠΈ ΠΎΡ
Π²Π°ΡΠ°, ΡΡΠΎ Π²Π½ΠΎΡΠΈΡ ΡΡΡΠ΅ΡΡΠ²Π΅Π½Π½ΠΎΠ΅ ΠΈΡΠΊΠ°ΠΆΠ΅Π½ΠΈΠ΅ Π² ΠΎΡΠ΅Π½ΠΊΡ ΡΠ΅Ρ
Π½ΠΎΠ»ΠΎΠ³ΠΈΡΠ΅ΡΠΊΠΎΠ³ΠΎ ΡΡΠΎΠ²Π½Ρ, ΠΈ Π² Π΄Π°Π»ΡΠ½Π΅ΠΉΡΠΈΠ΅ ΠΈΡΡΠ»Π΅Π΄ΠΎΠ²Π°Π½ΠΈΡ Π²Π·Π°ΠΈΠΌΠΎΡΠ²ΡΠ·ΠΈ ΡΡΠ½Π΄Π°ΠΌΠ΅Π½ΡΠ°Π»ΡΠ½ΠΎΠΉ Π½Π°ΡΠΊΠΈ, ΠΠΠΠΠ ΠΈ ΡΠ΅Ρ
Π½ΠΎΠ»ΠΎΠ³ΠΈΡΠ΅ΡΠΊΠΎΠ³ΠΎ ΡΠ°Π·Π²ΠΈΡΠΈΡ
Consequences of Raising The Retirement Age for the Labor Market in the Regions of Russia
The article presents the results of a study aimed at assessing the consequences for the labor market of raising the retirement age in Russia. The foreign experience of raising the retirement age, on the basis of which a number of characteristic moments of this process are highlighted, is presented. The review of the scientific literature showed a polemical character of the problem under investigation and allowed to formulate a hypothesis of the study, which is as follows: raising the retirement age will lead to an increase in the supply of labor, which will entail the reduction of the labor price. The article presents an analysis of the current situation in the labor market. Since the raise of the retirement age will require the availability of vacant jobs in an amount not less than the number of people detained in the labor market, two tasks have been solved in this study. In the first task, the change in the average wage was calculated, provided that the number of jobs will meet the increased need, i.e. unemployment will remain at the same level. In the second task, the number of jobs is fixed to estimate the potential effect of raising the retirement age. Evaluation of the effect of raising the retirement age with a fixed number of jobs was carried out by constructing a regression relationship between wages and unemployment, differences in age groups were taken into account by introducing fictitious shift and tilt variables into the model. According to the calculations obtained under the first and second tasks, wages will decrease with the raising of the retirement age by one year for both sexes. The results of the study showed that the decision to raise the retirement age should be accompanied by a number of serious additional measures, primarily in the employment of population sector. Β© 2019, Economic Laboratory for Transition Research. All rights reserved.Russian Science Foundation,Β RSF: 14-18-00574The research is conducted with the support of the Russian Science Foundation, Project No. 14-18-00574 "Anti-Crisis Information and Analysis System: Diagnostics of Regions, Threat Assessment, and Scenario Forecasting in Order to Preserve and Enhance Economic Security and Improve Welfare of Russia, an information-analytical system.
Estimating the Multiplier Effect of Investment Projects of the Far Eastern Federal District on Regional Socio-Economic Development
ΠΠ°Π»ΡΠ½Π΅Π²ΠΎΡΡΠΎΡΠ½ΡΠΉ ΡΠ΅Π΄Π΅ΡΠ°Π»ΡΠ½ΡΠΉ ΠΎΠΊΡΡΠ³ Π² Π½Π°ΡΡΠΎΡΡΠ΅Π΅ Π²ΡΠ΅ΠΌΡ ΡΠ²Π»ΡΠ΅ΡΡΡ ΠΏΠ»ΠΎΡΠ°Π΄ΠΊΠΎΠΉ Π΄Π»Ρ ΡΠ΅Π°Π»ΠΈΠ·Π°ΡΠΈΠΈ ΠΏΠΎΡΡΠ΄ΠΊΠ° Π΄Π²ΡΡ
ΡΡΡΡΡ ΠΈΠ½Π²Π΅ΡΡΠΈΡΠΈΠΎΠ½Π½ΡΡ
ΠΏΡΠΎΠ΅ΠΊΡΠΎΠ², ΠΊΠΎΡΠΎΡΡΠ΅ Π² ΠΎΠ±ΡΠ΅ΠΌ ΠΎΠ±ΡΠ΅ΠΌΠ΅ ΡΠΆΠ΅ ΠΏΡΠΎΡΠΈΠ½Π°Π½ΡΠΈΡΠΎΠ²Π°Π½Ρ Π½Π° ΡΡΠΌΠΌΡ ΠΎΠΊΠΎΠ»ΠΎ 700 ΠΌΠ»ΡΠ΄ ΡΡΠ±. Π‘ΡΠ΅Π΄ΠΈ ΡΠΆΠ΅ ΠΏΠΎΠ»ΡΡΠ΅Π½Π½ΡΡ
ΡΡΡΠ΅ΠΊΡΠΎΠ² ΠΎΡ ΡΠ΅Π°Π»ΠΈΠ·Π°ΡΠΈΠΈ Π΄Π°Π½Π½ΡΡ
ΠΏΡΠΎΠ΅ΠΊΡΠΎΠ² ΠΌΠΎΠΆΠ½ΠΎ ΠΎΡΠΌΠ΅ΡΠΈΡΡ Π²Π²ΠΎΠ΄ Π² ΡΠΊΡΠΏΠ»ΡΠ°ΡΠ°ΡΠΈΡ ΠΏΠΎΡΡΠ΄ΠΊΠ° 270 ΠΏΡΠ΅Π΄ΠΏΡΠΈΡΡΠΈΠΉ ΠΈ ΡΠΎΠ·Π΄Π°Π½ΠΈΠ΅ ΡΠ²ΡΡΠ΅ 40 ΡΡΡ. ΡΠ°Π±ΠΎΡΠΈΡ
ΠΌΠ΅ΡΡ. Π¦Π΅Π»ΡΡ ΡΠ°Π±ΠΎΡΡ ΡΠ²Π»ΡΡΡΡΡ ΡΠ°Π·ΡΠ°Π±ΠΎΡΠΊΠ° ΠΈ Π°ΠΏΡΠΎΠ±Π°ΡΠΈΡ ΠΈΠ½ΡΡΡΡΠΌΠ΅Π½ΡΠ°ΡΠΈΡ ΠΎΡΠ΅Π½ΠΊΠΈ ΠΌΡΠ»ΡΡΠΈΠΏΠ»ΠΈΠΊΠ°ΡΠΈΠ²Π½ΠΎΠ³ΠΎ Π²Π»ΠΈΡΠ½ΠΈΡ ΠΈΠ½Π²Π΅ΡΡΠΈΡΠΈΠΎΠ½Π½ΡΡ
ΠΏΡΠΎΠ΅ΠΊΡΠΎΠ² Π½Π° Π΄ΠΈΠ½Π°ΠΌΠΈΠΊΡ ΠΈΠ½Π΄ΠΈΠΊΠ°ΡΠΎΡΠΎΠ² ΡΠ΅Π³ΠΈΠΎΠ½Π°Π»ΡΠ½ΠΎΠ³ΠΎ ΡΠ°Π·Π²ΠΈΡΠΈΡ. ΠΠ΅ΡΠΎΠ΄ ΠΈΡΡΠ»Π΅Π΄ΠΎΠ²Π°Π½ΠΈΡ - ΠΈΠ½ΡΠ΅Π³ΡΠ°Π»ΡΠ½ΡΠΉ Π°Π½Π°Π»ΠΈΠ·, ΠΊΠΎΡΠΎΡΡΠΉ ΠΏΠΎΠ·Π²ΠΎΠ»ΡΠ΅Ρ Π°Π³ΡΠ΅Π³ΠΈΡΠΎΠ²Π°ΡΡ Π² ΠΎΠ΄Π½Ρ ΡΠΈΠ½ΡΠ΅ΡΠΈΡΠ΅ΡΠΊΡΡ Π²Π΅Π»ΠΈΡΠΈΠ½Ρ Π²Π΅ΡΡ ΠΏΠ΅ΡΠ΅ΡΠ΅Π½Ρ ΡΠ°Π·Π½ΠΎΡΠ°Π·ΠΌΠ΅ΡΠ½ΡΡ
Ρ
Π°ΡΠ°ΠΊΡΠ΅ΡΠΈΡΡΠΈΠΊ ΠΎΡΠΎΠ±ΡΠ°Π½Π½ΡΡ
ΠΏΡΠΎΠ΅ΠΊΡΠΎΠ². Π‘ΠΎΡΡΠ°Π²Π»Π΅Π½ ΠΎΠ±ΠΎΠ±ΡΠ΅Π½Π½ΡΠΉ ΡΠ΅ΠΉΡΠΈΠ½Π³ ΠΈΠ½Π²Π΅ΡΡΠΈΡΠΈΠΎΠ½Π½ΡΡ
ΠΏΡΠΎΠ΅ΠΊΡΠΎΠ² ΠΏΠΎ ΠΎΡΠ΅Π½ΠΊΠ΅ ΠΈΡ
ΡΠΎΠ²ΠΎΠΊΡΠΏΠ½ΠΎΠ³ΠΎ Π²ΠΊΠ»Π°Π΄Π° Π² ΡΠ΅Π³ΠΈΠΎΠ½Π°Π»ΡΠ½ΠΎΠ΅ ΡΠ°Π·Π²ΠΈΡΠΈΠ΅. Π’ΠΠ-3 ΡΠ΅ΠΉΡΠΈΠ½Π³Π° ΡΠΎΡΡΠ°Π²ΠΈΠ»ΠΈ: ΡΡΡΠΎΠΈΡΠ΅Π»ΡΡΡΠ²ΠΎ Π³ΠΎΡΠ½ΠΎ-ΠΎΠ±ΠΎΠ³Π°ΡΠΈΡΠ΅Π»ΡΠ½ΠΎΠ³ΠΎ ΠΊΠΎΠΌΠΏΠ»Π΅ΠΊΡΠ° ΠΠ½Π°Π³Π»ΠΈΠ½ΡΠΊΠΈΠΉ (1-Π΅ ΠΌΠ΅ΡΡΠΎ Π² ΡΠ΅ΠΉΡΠΈΠ½Π³Π΅ Π·Π° ΡΡΠ΅Ρ Π½Π°ΠΈΠ±ΠΎΠ»ΡΡΠ΅Π³ΠΎ ΡΠΊΠΎΠ½ΠΎΠΌΠΈΡΠ΅ΡΠΊΠΎΠ³ΠΎ ΡΡΡΠ΅ΠΊΡΠ°, ΠΎΡΠ΅Π½Π΅Π½Π½ΠΎΠ³ΠΎ ΠΎΠΆΠΈΠ΄Π°Π΅ΠΌΡΠΌ ΠΏΡΠΈΡΠ°ΡΠ΅Π½ΠΈΠ΅ΠΌ ΠΠ Π Π² ΠΎΠ±ΡΠ΅ΠΌΠ΅ 252 ΠΌΠ»ΡΠ΄ ΡΡΠ±.), ΠΊΠΎΡΠΌΠΎΠ΄ΡΠΎΠΌ Β«ΠΠΎΡΡΠΎΡΠ½ΡΠΉΒ» (2-Π΅ ΠΌΠ΅ΡΡΠΎ Π² ΡΠ΅ΠΉΡΠΈΠ½Π³Π΅ Π·Π° ΡΡΠ΅Ρ ΠΎΠΆΠΈΠ΄Π°Π΅ΠΌΠΎΠ³ΠΎ ΡΠΎΠ·Π΄Π°Π½ΠΈΡ Π½ΠΎΠ²ΡΡ
4000 ΡΠ°Π±ΠΎΡΠΈΡ
ΠΌΠ΅ΡΡ), ΡΡΡΠΎΠΈΡΠ΅Π»ΡΡΡΠ²ΠΎ Π‘Π°Ρ
Π°Π»ΠΈΠ½ΡΠΊΠΎΠΉ ΠΠ ΠΠ‘-2 (3-Π΅ ΠΌΠ΅ΡΡΠΎ Π² ΡΠ΅ΠΉΡΠΈΠ½Π³Π΅ Π·Π° ΡΡΠ΅Ρ ΠΊΠΎΠΌΠΌΠ΅ΡΡΠ΅ΡΠΊΠΎΠ³ΠΎ ΡΡΡΠ΅ΠΊΡΠ°, ΠΎΡΠ΅Π½Π΅Π½Π½ΠΎΠ³ΠΎ ΠΎΠΆΠΈΠ΄Π°Π΅ΠΌΡΠΌ ΠΏΡΠΈΡΠΎΠΊΠΎΠΌ ΡΠ°ΡΡΠ½ΡΡ
ΠΈΠ½Π²Π΅ΡΡΠΈΡΠΈΠΉ Π² ΠΎΠ±ΡΠ΅ΠΌΠ΅ 432 ΠΌΠ»ΡΠ΄ ΡΡΠ±.). ΠΠ΅ΡΠ°Π»ΡΠ½ΠΎΠ΅ ΠΈΡΡΠ»Π΅Π΄ΠΎΠ²Π°Π½ΠΈΠ΅ ΠΏΠΎΠ·ΠΈΡΠΈΠΉ ΠΈΠ½Π²Π΅ΡΡΠΈΡΠΈΠΎΠ½Π½ΡΡ
ΠΏΡΠΎΠ΅ΠΊΡΠΎΠ² ΠΠ€Π Π² ΠΏΡΠΎΡΡΡΠ°Π½ΡΡΠ²Π΅ ΠΊΠΎΠΎΡΠ΄ΠΈΠ½Π°Ρ Β«ΡΠ΅Π³ΠΈΠΎΠ½Π°Π»ΡΠ½Π°Ρ ΡΡΡΠ΅ΠΊΡΠΈΠ²Π½ΠΎΡΡΡ - ΡΠΎΡΠΈΠ°Π»ΡΠ½ΠΎ-ΡΠΊΠΎΠ½ΠΎΠΌΠΈΡΠ΅ΡΠΊΠΎΠ΅ ΡΠ°Π·Π²ΠΈΡΠΈΠ΅ ΡΠ΅Π³ΠΈΠΎΠ½Π°Β» ΠΏΠΎΠ·Π²ΠΎΠ»ΠΈΠ»ΠΎ Π΄Π°ΡΡ ΠΊΠΎΠ»ΠΈΡΠ΅ΡΡΠ²Π΅Π½Π½ΡΡ ΠΎΡΠ΅Π½ΠΊΡ ΠΌΡΠ»ΡΡΠΈΠΏΠ»ΠΈΠΊΠ°ΡΠΈΠ²Π½ΠΎΠ³ΠΎ Π²ΠΊΠ»Π°Π΄Π° ΠΏΡΠΎΠ΅ΠΊΡΠΎΠ² Π² ΡΡΠΎΠ²Π΅Π½Ρ ΡΠ°Π·Π²ΠΈΡΠΈΡ ΡΠΊΠΎΠ½ΠΎΠΌΠΈΠΊΠΈ ΠΈ ΡΠΎΡΠΈΠ°Π»ΡΠ½ΠΎΠΉ ΡΡΠ΅ΡΡ ΡΠ΅ΡΡΠΈΡΠΎΡΠΈΠΉ ΠΈΡ
ΡΠ΅Π°Π»ΠΈΠ·Π°ΡΠΈΠΈ. ΠΡΠΎΠ²Π΅Π΄Π΅Π½ΠΎ ΡΠ°Π½ΠΆΠΈΡΠΎΠ²Π°Π½ΠΈΠ΅ ΠΈΠ½Π²Π΅ΡΡΠΈΡΠΈΠΎΠ½Π½ΡΡ
ΠΏΡΠΎΠ΅ΠΊΡΠΎΠ² ΠΠ€Π, ΠΎΠΏΡΠ΅Π΄Π΅Π»Π΅Π½ΠΎ, ΡΡΠΎ Π½Π°ΠΈΠ±ΠΎΠ»Π΅Π΅ ΠΊΡΡΠΏΠ½ΡΠ΅ ΠΏΡΠΎΠ΅ΠΊΡΡ, ΠΈΠΌΠ΅ΡΡΠΈΠ΅ Π² ΠΏΡΠΎΠ³Π½ΠΎΠ·Π½ΠΎΠΉ ΠΏΠ΅ΡΡΠΏΠ΅ΠΊΡΠΈΠ²Π΅ Π²ΡΡΠΎΠΊΠΈΠ΅ ΠΊΠΎΠ»ΠΈΡΠ΅ΡΡΠ²Π΅Π½Π½ΡΠ΅ ΡΠ΅Π·ΡΠ»ΡΡΠ°ΡΡ, ΡΠ°Π·Π½ΠΎΠ½Π°ΠΏΡΠ°Π²Π»Π΅Π½Π½ΠΎ Π²Π»ΠΈΡΡΡ Π½Π° ΡΠΎΡΠΈΠ°Π»ΡΠ½ΠΎ-ΡΠΊΠΎΠ½ΠΎΠΌΠΈΡΠ΅ΡΠΊΠΈΠ΅ ΠΏΠΎΠΊΠ°Π·Π°ΡΠ΅Π»ΠΈ ΡΠ΅Π³ΠΈΠΎΠ½ΠΎΠ² ΠΏΡΠΈΡΡΡΡΡΠ²ΠΈΡ. ΠΠ±Π»Π°ΡΡΡ ΠΏΡΠΈΠΌΠ΅Π½Π΅Π½ΠΈΡ ΡΠ΅Π·ΡΠ»ΡΡΠ°ΡΠΎΠ² ΠΈΡΡΠ»Π΅Π΄ΠΎΠ²Π°Π½ΠΈΡ Π·Π°ΠΊΠ»ΡΡΠ°Π΅ΡΡΡ Π² ΡΠ°Π·ΡΠ°Π±ΠΎΡΠΊΠ΅ ΠΌΠ΅Ρ Π³ΠΎΡΡΠ΄Π°ΡΡΡΠ²Π΅Π½Π½ΠΎΠΉ ΠΈ ΡΠ΅Π³ΠΈΠΎΠ½Π°Π»ΡΠ½ΠΎΠΉ ΠΏΠΎΠ΄Π΄Π΅ΡΠΆΠΊΠΈ ΠΊΡΡΠΏΠ½ΡΡ
ΠΈΠ½Π²Π΅ΡΡΠΈΡΠΈΠΎΠ½Π½ΡΡ
ΠΏΡΠΎΠ΅ΠΊΡΠΎΠ², Π² ΡΠΎΠΌ ΡΠΈΡΠ»Π΅ ΠΏΠΎΠΈΡΠΊΠ΅ ΠΈ ΠΏΡΠΈΠ²Π»Π΅ΡΠ΅Π½ΠΈΠΈ Π΄ΠΎΠΏΠΎΠ»Π½ΠΈΡΠ΅Π»ΡΠ½ΡΡ
ΠΈΡΡΠΎΡΠ½ΠΈΠΊΠΎΠ² ΡΠΈΠ½Π°Π½ΡΠΈΡΠΎΠ²Π°Π½ΠΈΡ, ΡΠΎΡΠΌΠΈΡΠΎΠ²Π°Π½ΠΈΠΈ ΡΠΈΡΡΠ΅ΠΌΡ ΠΌΠ΅ΡΠΎΠΏΡΠΈΡΡΠΈΠΉ Π΄Π»Ρ ΠΎΠ±Π΅ΡΠΏΠ΅ΡΠ΅Π½ΠΈΡ Π½Π΅ΠΎΠ±Ρ
ΠΎΠ΄ΠΈΠΌΠΎΠ³ΠΎ ΠΈΠ½Π²Π΅ΡΡΠΈΡΠΈΠΎΠ½Π½ΠΎΠ³ΠΎ ΠΊΠ»ΠΈΠΌΠ°ΡΠ° Π² ΡΠ΅Π³ΠΈΠΎΠ½Π΅ ΠΈ ΡΠΎΠ·Π΄Π°Π½ΠΈΡ ΡΡΠ΅Π±ΡΠ΅ΠΌΠΎΠΉ ΠΈΠ½ΡΡΠ°ΡΡΡΡΠΊΡΡΡΡ.Approximately two thousand investment projects, which have already been financed at a cost of about 700 billion roubles, are being implemented in the Far Eastern Federal District. The effects from the implementation of these projects include the commissioning of about 270 enterprises and creation of over 40 thousand jobs. The paper aims to develop and test tools for estimating the multiplier effect of investment projects on the dynamics of regional development indicators. The integral analysis method was used to aggregate various multi-dimensional characteristics of selected projects into one synthetic indicator. As a result, a generalised ranking of investment projects was compiled to assess their combined contribution to regional development. The top-3 projects are: 1) Inaglinsky mining and processing plant (has the greatest economic effect estimated by the expected gross regional product increment of252 billion roubles); 2) Vostochny Cosmodrome (is expected to create 4,000 new jobs); 3) Sakhalin GRES-2 (has a commercial effect estimated by the expected inflow of private investment in the amount of 432 billion roubles). A detailed study of Far Eastern investment projects in the coordinate space βregional efficiency - regional socio-economic developmentβ allowed us to quantify their multiplicative contribution to socio-economic development of the regions. According to the ranking of investment projects in the Far Eastern Federal District, the largest projects, expected to show high quantitative results, have a multidirectional impact on the socio-economic indicators of the regions of operation. The research results can be used to develop national and regional support programmes for major investment projects to attract additional funding, establish a system of measures for maintaining a favourable investment climate in the region, as well as to create the necessary infrastructure
FEATURES OF REGIONAL ECONOMY
The article deals with the features of regional economy formation and the factors of the formation of the regional economic complex. The authors investigate conditions in the effective regional economic development
How to Raise Pensions by Legalizing Informal Employment
The article presents the study on the problems of imbalances in the
Russian pension system, which prevent ensuring the provision of decent
pensions for the population at a level that is adequate to their
labor contribution. In this study, the authors set a goal of substantiating
proposals for building a balanced pension system in Russia.
They considered the possibility of increasing the number of workers
(contributors to the pension system) by legalizing the informal employment
as a reserve for increasing the receipts of insurance contributions
to the pension system. In performing of the study was tested
the working hypothesis, which is: to ensure a balanced pension
system in Russia and raise the pensions, such reserve of increasing
the number of contributors as the legalization of informal employment
is sufficient. The article set and addressed the optimization
problem of legalizing the informal sector of the Russian economy
within the existing unfunded pension system in case of raising the
pensions to 40% of lost earnings. The authors built a non-linear programming
optimization problem based on the balance equation of
unfunded pension system. They presented a number of test estimates
and conclusions drawn on their basis. First, to ensure a balanced
pension system in Russia and raise the pensions, such reserve
for increasing the number of contributors as the legalization of informal
employment is significant but not sufficient. Secondly, a 40%
wage replacement rate can be achieved only in case of virtually
complete legalization of population employment in the informal sector.
Thirdly, the authors identified the particular characteristics of informal
employment legalization in specific economic activities
Modelling the Assessment of the Impact of Industry Factors on the Level of the Territoriesβ Socio-Economic Development and Economic Security
Nowadays, folk arts and crafts are not only a form of economic activity, but also a part of the Russian cultural heritage. However, in the context of crisis, slowdown of production volumes, and reduction of output, the independent existence of this industry is threatened. What is more, these factors jeopardize the level of economic security of the territories, where this type of activity primarily creates the territory's value added and serves as the only source of income for its population. The paper aims to discover such instruments of impact on the development of territories taking into account their industry specificity, as the point pressure on them will lead to economic growth. In this regard, we determined the study's objectives. They include identification of factors that most affect the industry's development; calculation of a composite integral indicator for assessing the level of the industry's development in a particular region; quantitative assessment of the identified factors' impact on the industry's development in the pilot regions. The main research methods are integrated analysis for ranking the regions, and correlation and regression modelling for assessing the impact of industry factors on the level of the territories' socio-economic development. We hypothesise that the creation of conditions for the development of the region's main industry will not only stimulate its socio-economic growth, but also provide the necessary level of economic security. As a result, we have compiled a rating of the territories (including the Arkhangelsk, Vladimir, Nizhny Novgorod, Moscow regions and the Republic of Dagestan) and identified stimulating and discouraging factors in the industry's development (historical, cultural, economic and social). Based on these findings, we have determined the instruments for influencing the industry in constituent entities. In conclusion, the proposed approach allowed us to establish the stimulating and discouraging factors in the industry's development and to determine the tools for influencing the industry of an individual constituent entity in order to increase the region's level of socioeconomic development and ensure its economic security. Β© 2020 Institute of Economics, Ural Branch of the Russian Academy of Sciences. All rights reserved.ΠΠ°ΡΠΎΠ΄Π½ΠΎ-Ρ
ΡΠ΄ΠΎΠΆΠ΅ΡΡΠ²Π΅Π½Π½ΡΠ΅ ΠΏΡΠΎΠΌΡΡΠ»Ρ ΡΠ΅Π³ΠΎΠ΄Π½Ρ ΡΠ²Π»ΡΡΡΡΡ Π½Π΅ ΡΠΎΠ»ΡΠΊΠΎ Π²ΠΈΠ΄ΠΎΠΌ ΡΠΊΠΎΠ½ΠΎΠΌΠΈΡΠ΅ΡΠΊΠΎΠΉ Π΄Π΅ΡΡΠ΅Π»ΡΠ½ΠΎΡΡΠΈ, Π½ΠΎ ΠΈ ΡΠ°ΡΡΡΡ ΠΊΡΠ»ΡΡΡΡΠ½ΠΎΠ³ΠΎ Π½Π°ΡΠ»Π΅Π΄ΠΈΡ Π ΠΎΡΡΠΈΠΈ. ΠΠ΄Π½Π°ΠΊΠΎ Π² ΡΡΠ»ΠΎΠ²ΠΈΡΡ
ΠΊΡΠΈΠ·ΠΈΡΠ°, ΠΏΠ°Π΄Π΅Π½ΠΈΡ ΠΎΠ±ΡΠ΅ΠΌΠΎΠ² ΠΏΡΠΎΠΈΠ·Π²ΠΎΠ΄ΡΡΠ²Π°, ΡΠΎΠΊΡΠ°ΡΠ΅Π½ΠΈΡ Π²ΡΠΏΡΡΠΊΠ° ΠΏΡΠΎΠ΄ΡΠΊΡΠΈΠΈ ΡΡΠ°Π²ΠΈΡΡΡ ΠΏΠΎΠ΄ ΡΠ³ΡΠΎΠ·Ρ Π½Π΅ ΡΠΎΠ»ΡΠΊΠΎ ΡΠ°ΠΌΠΎΡΡΠΎΡΡΠ΅Π»ΡΠ½ΠΎΠ΅ ΡΡΡΠ΅ΡΡΠ²ΠΎΠ²Π°Π½ΠΈΠ΅ Π΄Π°Π½Π½ΠΎΠΉ ΠΎΡΡΠ°ΡΠ»ΠΈ, Π½ΠΎ ΠΈ ΡΡΠΎΠ²Π΅Π½Ρ ΡΠΊΠΎΠ½ΠΎΠΌΠΈΡΠ΅ΡΠΊΠΎΠΉ Π±Π΅Π·ΠΎΠΏΠ°ΡΠ½ΠΎΡΡΠΈ ΡΠ΅ΡΡΠΈΡΠΎΡΠΈΠΉ ΠΏΡΠΈΡΡΡΡΡΠ²ΠΈΡ, Π³Π΄Π΅ Π΄Π°Π½Π½ΡΠΉ Π²ΠΈΠ΄ Π΄Π΅ΡΡΠ΅Π»ΡΠ½ΠΎΡΡΠΈ ΡΠ²Π»ΡΠ΅ΡΡΡ ΠΎΡΠ½ΠΎΠ²Π½ΡΠΌ Π² ΡΠΎΠ·Π΄Π°Π½ΠΈΠΈ Π΄ΠΎΠ±Π°Π²Π»Π΅Π½Π½ΠΎΠΉ ΡΡΠΎΠΈΠΌΠΎΡΡΠΈ ΡΠ΅ΡΡΠΈΡΠΎΡΠΈΠΉ ΠΈ Π΅Π΄ΠΈΠ½ΡΡΠ²Π΅Π½Π½ΡΠΌ ΠΈΡΡΠΎΡΠ½ΠΈΠΊΠΎΠΌ Π΄ΠΎΡ
ΠΎΠ΄ΠΎΠ² ΠΈΡ
Π½Π°ΡΠ΅Π»Π΅Π½ΠΈΡ. Π¦Π΅Π»ΡΡ ΡΠ°Π±ΠΎΡΡ ΡΠ²Π»ΡΠ΅ΡΡΡ ΠΏΠΎΠΈΡΠΊ ΡΠ°ΠΊΠΈΡ
ΠΈΠ½ΡΡΡΡΠΌΠ΅Π½ΡΠΎΠ² Π²Π»ΠΈΡΠ½ΠΈΡ Π½Π° ΡΠ°Π·Π²ΠΈΡΠΈΠ΅ ΡΠ΅ΡΡΠΈΡΠΎΡΠΈΠΉ Ρ ΡΡΠ΅ΡΠΎΠΌ ΠΈΡ
ΠΎΡΡΠ°ΡΠ»Π΅Π²ΠΎΠΉ ΡΠΏΠ΅ΡΠΈΡΠΈΠΊΠΈ, ΡΠΎΡΠ΅ΡΠ½ΠΎΠ΅ Π²ΠΎΠ·Π΄Π΅ΠΉΡΡΠ²ΠΈΠ΅ Π½Π° ΠΊΠΎΡΠΎΡΡΠ΅ ΠΏΡΠΈΠ²Π΅Π΄Π΅Ρ ΠΊ ΡΠΊΠΎΠ½ΠΎΠΌΠΈΡΠ΅ΡΠΊΠΎΠΌΡ ΡΠΎΡΡΡ. ΠΠ°Π΄Π°ΡΠ°ΠΌΠΈ ΠΈΡΡΠ»Π΅Π΄ΠΎΠ²Π°Π½ΠΈΡ Π² ΡΡΠΎΠΉ ΡΠ²ΡΠ·ΠΈ ΡΠ²Π»ΡΡΡΡΡ ΠΎΠΏΡΠ΅Π΄Π΅Π»Π΅Π½ΠΈΠ΅ ΡΠ°ΠΊΡΠΎΡΠΎΠ², Π² Π½Π°ΠΈΠ±ΠΎΠ»ΡΡΠ΅ΠΉ ΠΌΠ΅ΡΠ΅ Π²Π»ΠΈΡΡΡΠΈΡ
Π½Π° ΡΠ°Π·Π²ΠΈΡΠΈΠ΅ ΠΎΡΡΠ°ΡΠ»ΠΈ, ΡΠ°ΡΡΠ΅Ρ ΡΠ²ΠΎΠ΄Π½ΠΎΠ³ΠΎ ΠΈΠ½ΡΠ΅Π³ΡΠ°Π»ΡΠ½ΠΎΠ³ΠΎ ΠΏΠΎΠΊΠ°Π·Π°ΡΠ΅Π»Ρ ΠΎΡΠ΅Π½ΠΊΠΈ ΡΡΠΎΠ²Π½Ρ ΡΠ°Π·Π²ΠΈΡΠΈΡ ΠΎΡΡΠ°ΡΠ»ΠΈ Π² ΠΎΡΠ΄Π΅Π»ΡΠ½ΠΎΠΌ ΡΠ΅Π³ΠΈΠΎΠ½Π΅, ΠΊΠΎΠ»ΠΈΡΠ΅ΡΡΠ²Π΅Π½Π½Π°Ρ ΠΎΡΠ΅Π½ΠΊΠ° Π²Π»ΠΈΡΠ½ΠΈΡ Π²ΡΡΠ²Π»Π΅Π½Π½ΡΡ
ΡΠ°ΠΊΡΠΎΡΠΎΠ² Π½Π° ΡΠ°Π·Π²ΠΈΡΠΈΠ΅ ΠΎΡΡΠ°ΡΠ»ΠΈ Π² ΠΏΠΈΠ»ΠΎΡΠ½ΡΡ
ΡΠ΅Π³ΠΈΠΎΠ½Π°Ρ
. ΠΡΠ½ΠΎΠ²Π½ΡΠΌΠΈ ΠΌΠ΅ΡΠΎΠ΄Π°ΠΌΠΈ ΠΈΡΡΠ»Π΅Π΄ΠΎΠ²Π°Π½ΠΈΡ ΡΠ²Π»ΡΡΡΡΡ ΠΈΠ½ΡΠ΅Π³ΡΠ°Π»ΡΠ½ΡΠΉ Π°Π½Π°Π»ΠΈΠ· Π΄Π»Ρ ΡΠΎΡΡΠ°Π²Π»Π΅Π½ΠΈΡ ΡΠ΅ΠΉΡΠΈΠ½Π³Π° ΡΠ΅Π³ΠΈΠΎΠ½ΠΎΠ² ΠΈ ΠΊΠΎΡΡΠ΅Π»ΡΡΠΈΠΎΠ½Π½ΠΎ-ΡΠ΅Π³ΡΠ΅ΡΡΠΈΠΎΠ½Π½ΠΎΠ΅ ΠΌΠΎΠ΄Π΅Π»ΠΈΡΠΎΠ²Π°Π½ΠΈΠ΅ Π΄Π»Ρ ΠΎΡΠ΅Π½ΠΊΠΈ Π²Π»ΠΈΡΠ½ΠΈΡ ΠΎΡΡΠ°ΡΠ»Π΅Π²ΡΡ
ΡΠ°ΠΊΡΠΎΡΠΎΠ² Π½Π° ΡΡΠΎΠ²Π΅Π½Ρ ΡΠΎΡΠΈΠ°Π»ΡΠ½ΠΎ-ΡΠΊΠΎΠ½ΠΎΠΌΠΈΡΠ΅ΡΠΊΠΎΠ³ΠΎ ΡΠ°Π·Π²ΠΈΡΠΈΡ ΡΠ΅ΡΡΠΈΡΠΎΡΠΈΠΉ. Π ΡΡΠ°ΡΡΠ΅ Π²ΡΠ΄Π²ΠΈΠ½ΡΡΠ° Π³ΠΈΠΏΠΎΡΠ΅Π·Π°: ΡΠΎΠ·Π΄Π°Π½ΠΈΠ΅ ΡΡΠ»ΠΎΠ²ΠΈΠΉ Π΄Π»Ρ ΡΠ°Π·Π²ΠΈΡΠΈΡ ΠΎΡΠ½ΠΎΠ²Π½ΠΎΠΉ Π΄Π»Ρ ΡΠ΅Π³ΠΈΠΎΠ½Π° ΠΎΡΡΠ°ΡΠ»ΠΈ Π½Π΅ ΡΠΎΠ»ΡΠΊΠΎ Π²ΡΡΡΡΠΏΠΈΡ ΡΡΠΈΠΌΡΠ»ΠΎΠΌ Π΅Π³ΠΎ ΡΠΎΡΠΈΠ°Π»ΡΠ½ΠΎ-ΡΠΊΠΎΠ½ΠΎΠΌΠΈΡΠ΅ΡΠΊΠΎΠ³ΠΎ ΡΠΎΡΡΠ° ΠΈ ΠΎΠ±Π΅ΡΠΏΠ΅ΡΠΈΡ Π½Π΅ΠΎΠ±Ρ
ΠΎΠ΄ΠΈΠΌΡΠΉ ΡΡΠΎΠ²Π΅Π½Ρ ΡΠΊΠΎΠ½ΠΎΠΌΠΈΡΠ΅ΡΠΊΠΎΠΉ Π±Π΅Π·ΠΎΠΏΠ°ΡΠ½ΠΎΡΡΠΈ. Π Π΅Π·ΡΠ»ΡΡΠ°ΡΡ ΠΈΡΡΠ»Π΅Π΄ΠΎΠ²Π°Π½ΠΈΡ: ΡΠΎΡΡΠ°Π²Π»Π΅Π½ ΡΠ΅ΠΉΡΠΈΠ½Π³ ΡΠ΅ΡΡΠΈΡΠΎΡΠΈΠΉ (ΠΡΡ
Π°Π½Π³Π΅Π»ΡΡΠΊΠ°Ρ, ΠΠ»Π°Π΄ΠΈΠΌΠΈΡΡΠΊΠ°Ρ, ΠΠΈΠΆΠ΅Π³ΠΎΡΠΎΠ΄ΡΠΊΠ°Ρ, ΠΠΎΡΠΊΠΎΠ²ΡΠΊΠ°Ρ ΠΎΠ±Π»Π°ΡΡΠΈ ΠΈ Π Π΅ΡΠΏΡΠ±Π»ΠΈΠΊΠ° ΠΠ°Π³Π΅ΡΡΠ°Π½) ΠΈ Π²ΡΡΠ²Π»Π΅Π½Ρ ΡΡΠΈΠΌΡΠ»ΠΈΡΡΡΡΠΈΠ΅ ΠΈ Π΄Π΅ΡΡΠΈΠΌΡΠ»ΠΈΡΡΡΡΠΈΠ΅ ΡΠ°ΠΊΡΠΎΡΡ Π² ΡΠ°Π·Π²ΠΈΡΠΈΠΈ ΠΎΡΡΠ°ΡΠ»ΠΈ (ΠΈΡΡΠΎΡΠΈΠΊΠΎ-ΠΊΡΠ»ΡΡΡΡΠ½ΡΠ΅, ΡΠΊΠΎΠ½ΠΎΠΌΠΈΡΠ΅ΡΠΊΠΈΠ΅ ΠΈ ΡΠΎΡΠΈΠ°Π»ΡΠ½ΡΠ΅), Π½Π° Π±Π°Π·Π΅ ΡΠ΅Π³ΠΎ ΠΎΠΏΡΠ΅Π΄Π΅Π»Π΅Π½Ρ ΠΈΠ½ΡΡΡΡΠΌΠ΅Π½ΡΡ Π²ΠΎΠ·Π΄Π΅ΠΉΡΡΠ²ΠΈΡ Π½Π° ΠΎΡΡΠ°ΡΠ»Ρ Π² ΠΎΡΠ΄Π΅Π»ΡΠ½ΠΎΠΌ ΡΡΠ±ΡΠ΅ΠΊΡΠ΅. ΠΡΠ²ΠΎΠ΄Ρ: ΠΏΡΠ΅Π΄Π»ΠΎΠΆΠ΅Π½Π½ΡΠΉ ΠΏΠΎΠ΄Ρ
ΠΎΠ΄ ΠΏΠΎΠ·Π²ΠΎΠ»ΠΈΠ» Π²ΡΡΠ²ΠΈΡΡ ΡΡΠΈΠΌΡΠ»ΠΈΡΡΡΡΠΈΠ΅ ΠΈ Π΄Π΅ΡΡΠΈΠΌΡΠ»ΠΈΡΡΡΡΠΈΠ΅ ΡΠ°ΠΊΡΠΎΡΡ Π² ΡΠ°Π·Π²ΠΈΡΠΈΠΈ ΠΎΡΡΠ°ΡΠ»ΠΈ, Π½Π° Π±Π°Π·Π΅ ΡΠ΅Π³ΠΎ ΠΎΠΏΡΠ΅Π΄Π΅Π»ΠΈΡΡ ΠΈΠ½ΡΡΡΡΠΌΠ΅Π½ΡΡ Π²ΠΎΠ·Π΄Π΅ΠΉΡΡΠ²ΠΈΡ Π½Π° ΠΎΡΡΠ°ΡΠ»Ρ Π² ΠΎΡΠ΄Π΅Π»ΡΠ½ΠΎΠΌ ΡΡΠ±ΡΠ΅ΠΊΡΠ΅ Ρ ΡΠ΅Π»ΡΡ ΠΏΠΎΠ²ΡΡΠ΅Π½ΠΈΡ ΡΡΠΎΠ²Π½Ρ ΡΠΎΡΠΈΠ°Π»ΡΠ½ΠΎ-ΡΠΊΠΎΠ½ΠΎΠΌΠΈΡΠ΅ΡΠΊΠΎΠ³ΠΎ ΡΠ°Π·Π²ΠΈΡΠΈΡ ΠΈ ΠΎΠ±Π΅ΡΠΏΠ΅ΡΠ΅Π½ΠΈΡ ΡΠΊΠΎΠ½ΠΎΠΌΠΈΡΠ΅ΡΠΊΠΎΠΉ Π±Π΅Π·ΠΎΠΏΠ°ΡΠ½ΠΎΡΡΠΈ ΡΠ΅Π³ΠΈΠΎΠ½ΠΎΠ².The article has been prepared with the support of the Ministry of Industry and Trade Russia in the framework of the contract "Providing services for information-analytical and expert support in the elaboration of a concept for the development of places of traditional existence of folk arts and crafts, an action plan for the development and implementation of the regulatory framework and measures of their support as categories of preservation and evolvement of traditions of existence".Π‘ΡΠ°ΡΡΡ ΠΏΠΎΠ΄Π³ΠΎΡΠΎΠ²Π»Π΅Π½Π° Π² ΡΠ°ΠΌΠΊΠ°Ρ
ΠΏΡΠΈΠΊΠ»Π°Π΄Π½ΠΎΠ³ΠΎ ΡΠΊΠΎΠ½ΠΎΠΌΠΈΡΠ΅ΡΠΊΠΎΠ³ΠΎ ΠΈΡΡΠ»Π΅Π΄ΠΎΠ²Π°Π½ΠΈΡ ΠΏΠΎ Π·Π°ΠΊΠ°Π·Ρ ΠΠΈΠ½ΠΈΡΡΠ΅ΡΡΡΠ²Π° ΠΏΡΠΎΠΌΡΡΠ»Π΅Π½Π½ΠΎΡΡΠΈ ΠΈ ΡΠΎΡΠ³ΠΎΠ²Π»ΠΈ Π Π€ Π² ΡΠ°ΠΌΠΊΠ°Ρ
ΠΠΎΡΡΠ΄Π°ΡΡΡΠ²Π΅Π½Π½ΠΎΠ³ΠΎ ΠΊΠΎΠ½ΡΡΠ°ΠΊΡΠ° Β«ΠΠΊΠ°Π·Π°Π½ΠΈΠ΅ ΡΡΠ»ΡΠ³ ΠΏΠΎ ΠΈΠ½ΡΠΎΡΠΌΠ°ΡΠΈΠΎΠ½Π½ΠΎ-Π°Π½Π°Π»ΠΈΡΠΈΡΠ΅ΡΠΊΠΎΠΌΡ ΠΈ ΡΠΊΡΠΏΠ΅ΡΡΠ½ΠΎΠΌΡ ΡΠΎΠΏΡΠΎΠ²ΠΎΠΆΠ΄Π΅Π½ΠΈΡ ΡΠ°Π·ΡΠ°Π±ΠΎΡΠΊΠΈ ΠΊΠΎΠ½ΡΠ΅ΠΏΡΠΈΠΈ ΡΠ°Π·Π²ΠΈΡΠΈΡ ΠΌΠ΅ΡΡ ΡΡΠ°Π΄ΠΈΡΠΈΠΎΠ½Π½ΠΎΠ³ΠΎ Π±ΡΡΠΎΠ²Π°Π½ΠΈΡ Π½Π°ΡΠΎΠ΄Π½ΡΡ
Ρ
ΡΠ΄ΠΎΠΆΠ΅ΡΡΠ²Π΅Π½Π½ΡΡ
ΠΏΡΠΎΠΌΡΡΠ»ΠΎΠ², ΠΏΠ»Π°Π½Π° Π΄Π΅ΠΉΡΡΠ²ΠΈΠΉ ΠΏΠΎ ΡΠ°Π·ΡΠ°Π±ΠΎΡΠΊΠ΅ ΠΈ ΡΠ΅Π°Π»ΠΈΠ·Π°ΡΠΈΠΈ Π½ΠΎΡΠΌΠ°ΡΠΈΠ²Π½ΠΎ-ΠΏΡΠ°Π²ΠΎΠ²ΠΎΠΉ Π±Π°Π·Ρ ΠΈ ΠΌΠ΅Ρ ΠΈΡ
ΠΏΠΎΠ΄Π΄Π΅ΡΠΆΠΊΠΈ ΠΊΠ°ΠΊ ΠΊΠ°ΡΠ΅Π³ΠΎΡΠΈΠΉ ΡΠΎΡ
ΡΠ°Π½Π΅Π½ΠΈΡ ΠΈ ΡΠ°Π·Π²ΠΈΡΠΈΡ ΡΡΠ°Π΄ΠΈΡΠΈΠΉ ΡΠΊΠ»Π°Π΄Π° Π±ΡΡΠΎΠ²Π°Π½ΠΈΡΒ»