314 research outputs found
Legal aspects in the legislation of robotics
The article comprises legislation questions in robotics and studies the laws that are being designed to regulate the relations between a robot and its designer. The development of an artificial intelligence, broad use of independent devices reveals the problems of technical and ethical character that are necessary to be solved in the collaboration of scientists of different fields. The article views the questions of harm infliction by robotic operations and ways of protection the robots. There were provided the forecasts for the next years about the possible change of the legislation in the world. The authors offer to create a special register for robots
Computerized Neuropsychological Assessment in 6β9 Years-old Children
The article presents a new computer-based test battery of neuropsychological assessment in 6β9-year-old children. The battery consists of seven tests for assessing executive functions, functions of activation regulation, functions of visual-spatial information and auditory information processing. The following tests are describedin the article: the Dots task, two-colored SchulteβGorbov tables, Corsi block span test and Understanding of Similar Sounding Words test. The battery is developed in the software platform βMSU-Practiceβ (http://psychosoft.ru). The system allows researchers to conduct the tests, collect data and analyze them. In addition, it includes cloud service to support the collaboration of different research groups. A total of 21 preschoolers, 52 first-graders and 114 second-graders took part in a pilot study. All three groups of children took the four computer tests and went through a neuropsychological assessment adapted for children between the ages of 5 and 9. The correlation analysis showed consistency between the results of the computertests and the results of the neuropsychological assessments. This allowed us to conclude that the new computer methodology is sufficiently sensible and valid to assess different components of higher mental functions in children.
Keywords: neuropsychology, higher mental functions, primary school children, cognitive functions, computer-based test
Π‘ΡΡΠ½ΠΎΡΡΡ ΠΈΠ½ΡΡΠΈΡΡΡΠΈΠΎΠ½Π°Π»ΡΠ½ΡΡ ΠΌΠ΅Ρ Π°Π½ΠΈΠ·ΠΌΠΎΠ² Π°Π΄Π°ΠΏΡΠ°ΡΠΈΠΈ Π½Π°ΡΠ΅Π»Π΅Π½ΠΈΡ ΠΈ ΠΎΡΠ΅Π½ΠΊΠ° ΠΈΡ ΡΠ΅Π·ΡΠ»ΡΡΠ°ΡΠΈΠ²Π½ΠΎΡΡΠΈ
The purpose of the study is to determine the level of effectiveness of institutional mechanisms of the population adaptation of the region. The relevance of the study is related to the problems of reflecting the essence of the institutional mechanisms of the population adaptation, which affect their effectiveness in the transition to dynamic development. It is assumed that the determination of the effectiveness of institutional mechanisms of the population adaptation of the region is evaluated on the basis of characteristics of population reproduction, growth of value added and peopleβs standard of living. The interaction of institutional mechanisms of the population adaptation with six institutional sectors of the economy is considered.Β The research methods are the theory and methodology of statistics, including the index and tabular method, grouping of data, series of dynamics and comparative estimates. To determine the essence of the institutional mechanisms of the population adaptation of the region, a statistical approach was used. The author gives an assessment of the level of effectiveness of the region according to 9 main quantitative and qualitative indexes that objectively reflect the general state of the economy, the standard of living of the population and the evolution of institutional mechanisms of the population adaptation for the period 1990-2020.Research results: the concept of the institutional mechanism of the population adaptation is clarified as a set of consistent actions of socioeconomic institutions, ensuring their effective interaction through the implementation of formal and informal rules, norms and standards in order to improve the level and quality of life of the population. In this regard, a toolkit has been developed to determine the effectiveness of institutional mechanisms of the population adaptation in terms of population reproduction, value-added growth, and the standard of living of the population. Over the past 30 years, there have been significant changes in many regions of the country regarding the use of institutional mechanisms for the population adaptation, which have contributed to improving the level of efficiency of business entities and revealing the characteristics of specific territories. However, in a number of regions of the country, including the Kurgan region, there is a significant decrease in the number and migration outflow of the population, real incomes of the population are slowly increasing.Conclusion: the use of the statistical approach makes it possible to determine not only the effectiveness of institutional mechanisms of the population adaptation, but also the effectiveness of the implemented development strategies for the future and the quality of the adopted decisions by management bodies. The interrelations of the used institutional mechanisms of the population adaptation with the level of economic potential of the territory are revealed. It is established that the population adapts faster to improved institutional mechanisms, while reducing social tension and increasing support for people in crisis situations. The main directions of further research on the problems of changes in the institutional mechanisms of the population adaptation and assessment of their effectiveness in the transition to dynamic development are substantiated.Π¦Π΅Π»ΡΡ ΠΈΡΡΠ»Π΅Π΄ΠΎΠ²Π°Π½ΠΈΡ ΡΠ²Π»ΡΠ΅ΡΡΡ ΠΎΠΏΡΠ΅Π΄Π΅Π»Π΅Π½ΠΈΠ΅ ΡΡΠΎΠ²Π½Ρ ΡΠ΅Π·ΡΠ»ΡΡΠ°ΡΠΈΠ²Π½ΠΎΡΡΠΈ ΠΈΠ½ΡΡΠΈΡΡΡΠΈΠΎΠ½Π°Π»ΡΠ½ΡΡ
ΠΌΠ΅Ρ
Π°Π½ΠΈΠ·ΠΌΠΎΠ² Π°Π΄Π°ΠΏΡΠ°ΡΠΈΠΈ Π½Π°ΡΠ΅Π»Π΅Π½ΠΈΡ ΡΠ΅Π³ΠΈΠΎΠ½Π°. ΠΠΊΡΡΠ°Π»ΡΠ½ΠΎΡΡΡ ΠΈΡΡΠ»Π΅Π΄ΠΎΠ²Π°Π½ΠΈΡ ΡΠ²ΡΠ·Π°Π½Π° Ρ ΠΏΡΠΎΠ±Π»Π΅ΠΌΠ°ΠΌΠΈ ΠΎΡΡΠ°ΠΆΠ΅Π½ΠΈΡ ΡΡΡΠ½ΠΎΡΡΠΈ ΠΈΠ½ΡΡΠΈΡΡΡΠΈΠΎΠ½Π°Π»ΡΠ½ΡΡ
ΠΌΠ΅Ρ
Π°Π½ΠΈΠ·ΠΌΠΎΠ² Π°Π΄Π°ΠΏΡΠ°ΡΠΈΠΈ Π½Π°ΡΠ΅Π»Π΅Π½ΠΈΡ, ΠΊΠΎΡΠΎΡΡΠ΅ Π²Π»ΠΈΡΡΡ Π½Π° ΠΈΡ
ΡΠ΅Π·ΡΠ»ΡΡΠ°ΡΠΈΠ²Π½ΠΎΡΡΡ Π² ΡΡΠ»ΠΎΠ²ΠΈΡΡ
ΠΏΠ΅ΡΠ΅Ρ
ΠΎΠ΄Π° ΠΊ Π΄ΠΈΠ½Π°ΠΌΠΈΡΠ½ΠΎΠΌΡ ΡΠ°Π·Π²ΠΈΡΠΈΡ. ΠΡΠ΅Π΄ΠΏΠΎΠ»Π°Π³Π°Π΅ΡΡΡ, ΡΡΠΎ ΠΎΠΏΡΠ΅Π΄Π΅Π»Π΅Π½ΠΈΠ΅ ΡΠ΅Π·ΡΠ»ΡΡΠ°ΡΠΈΠ²Π½ΠΎΡΡΠΈ ΠΈΠ½ΡΡΠΈΡΡΡΠΈΠΎΠ½Π°Π»ΡΠ½ΡΡ
ΠΌΠ΅Ρ
Π°Π½ΠΈΠ·ΠΌΠΎΠ² Π°Π΄Π°ΠΏΡΠ°ΡΠΈΠΈ Π½Π°ΡΠ΅Π»Π΅Π½ΠΈΡ ΡΠ΅Π³ΠΈΠΎΠ½Π° ΠΎΡΠ΅Π½ΠΈΠ²Π°Π΅ΡΡΡ Π½Π° ΠΎΡΠ½ΠΎΠ²Π΅ Ρ
Π°ΡΠ°ΠΊΡΠ΅ΡΠΈΡΡΠΈΠΊΠΈ Π²ΠΎΡΠΏΡΠΎΠΈΠ·Π²ΠΎΠ΄ΡΡΠ²Π° Π½Π°ΡΠ΅Π»Π΅Π½ΠΈΡ, ΡΠΎΡΡΠ° Π΄ΠΎΠ±Π°Π²Π»Π΅Π½Π½ΠΎΠΉ ΡΡΠΎΠΈΠΌΠΎΡΡΠΈ ΠΈ ΡΡΠΎΠ²Π½Ρ ΠΆΠΈΠ·Π½ΠΈ Π»ΡΠ΄Π΅ΠΉ. Π Π°ΡΡΠΌΠ°ΡΡΠΈΠ²Π°Π΅ΡΡΡ Π²Π·Π°ΠΈΠΌΠΎΠ΄Π΅ΠΉΡΡΠ²ΠΈΠ΅ ΠΈΠ½ΡΡΠΈΡΡΡΠΈΠΎΠ½Π°Π»ΡΠ½ΡΡ
ΠΌΠ΅Ρ
Π°Π½ΠΈΠ·ΠΌΡ Π°Π΄Π°ΠΏΡΠ°ΡΠΈΠΈ Π½Π°ΡΠ΅Π»Π΅Π½ΠΈΡ Ρ ΡΠ΅ΡΡΡΡ ΠΈΠ½ΡΡΠΈΡΡΡΠΈΠΎΠ½Π°Π»ΡΠ½ΡΠΌ ΡΠ΅ΠΊΡΠΎΡΠ°ΠΌ ΡΠΊΠΎΠ½ΠΎΠΌΠΈΠΊΠΈ.ΠΠ΅ΡΠΎΠ΄Π°ΠΌΠΈ ΠΈΡΡΠ»Π΅Π΄ΠΎΠ²Π°Π½ΠΈΡ ΡΠ²Π»ΡΡΡΡΡ ΡΠ΅ΠΎΡΠΈΡ ΠΈ ΠΌΠ΅ΡΠΎΠ΄ΠΎΠ»ΠΎΠ³ΠΈΡ ΡΡΠ°ΡΠΈΡΡΠΈΠΊΠΈ, Π² ΡΠΎΠΌ ΡΠΈΡΠ»Π΅ ΠΈΠ½Π΄Π΅ΠΊΡΠ½ΡΠΉ ΠΈ ΡΠ°Π±Π»ΠΈΡΠ½ΡΠΉ ΠΌΠ΅ΡΠΎΠ΄, Π³ΡΡΠΏΠΏΠΈΡΠΎΠ²ΠΊΠΈ Π΄Π°Π½Π½ΡΡ
, ΡΡΠ΄ΠΎΠ² Π΄ΠΈΠ½Π°ΠΌΠΈΠΊΠΈ ΠΈ ΡΡΠ°Π²Π½ΠΈΡΠ΅Π»ΡΠ½ΡΡ
ΠΎΡΠ΅Π½ΠΎΠΊ. ΠΠ»Ρ ΠΎΠΏΡΠ΅Π΄Π΅Π»Π΅Π½ΠΈΡ ΡΡΡΠ½ΠΎΡΡΠΈ ΠΈΠ½ΡΡΠΈΡΡΡΠΈΠΎΠ½Π°Π»ΡΠ½ΡΡ
ΠΌΠ΅Ρ
Π°Π½ΠΈΠ·ΠΌΠΎΠ² Π°Π΄Π°ΠΏΡΠ°ΡΠΈΠΈ Π½Π°ΡΠ΅Π»Π΅Π½ΠΈΡ ΡΠ΅Π³ΠΈΠΎΠ½Π° ΠΈΡΠΏΠΎΠ»ΡΠ·ΠΎΠ²Π°Π½ ΡΡΠ°ΡΠΈΡΡΠΈΡΠ΅ΡΠΊΠΈΠΉ ΠΏΠΎΠ΄Ρ
ΠΎΠ΄. ΠΠ²ΡΠΎΡΠΎΠΌ ΠΏΡΠΈΠ²Π΅Π΄Π΅Π½Π° ΠΎΡΠ΅Π½ΠΊΠ° ΡΡΠΎΠ²Π½Ρ ΡΠ΅Π·ΡΠ»ΡΡΠ°ΡΠΈΠ²Π½ΠΎΡΡΠΈ ΡΠ΅Π³ΠΈΠΎΠ½Π° ΠΏΠΎ 9 ΠΎΡΠ½ΠΎΠ²Π½ΡΠΌ ΠΊΠΎΠ»ΠΈΡΠ΅ΡΡΠ²Π΅Π½Π½ΡΠΌ ΠΈ ΠΊΠ°ΡΠ΅ΡΡΠ²Π΅Π½Π½ΡΠΌ ΠΏΠΎΠΊΠ°Π·Π°ΡΠ΅Π»ΡΠΌ, ΠΊΠΎΡΠΎΡΡΠ΅ ΠΎΠ±ΡΠ΅ΠΊΡΠΈΠ²Π½ΠΎ ΠΎΡΡΠ°ΠΆΠ°ΡΡ ΠΎΠ±ΡΠ΅Π΅ ΡΠΎΡΡΠΎΡΠ½ΠΈΠ΅ ΡΠΊΠΎΠ½ΠΎΠΌΠΈΠΊΠΈ, ΡΡΠΎΠ²Π΅Π½Ρ ΠΆΠΈΠ·Π½ΠΈ Π½Π°ΡΠ΅Π»Π΅Π½ΠΈΡ ΠΈ ΡΠ²ΠΎΠ»ΡΡΠΈΡ ΠΈΠ½ΡΡΠΈΡΡΡΠΈΠΎΠ½Π°Π»ΡΠ½ΡΡ
ΠΌΠ΅Ρ
Π°Π½ΠΈΠ·ΠΌΠΎΠ² Π°Π΄Π°ΠΏΡΠ°ΡΠΈΠΈ Π½Π°ΡΠ΅Π»Π΅Π½ΠΈΡ Π·Π° ΠΏΠ΅ΡΠΈΠΎΠ΄ 1990β2020 Π³ΠΎΠ΄Ρ.Π Π΅Π·ΡΠ»ΡΡΠ°ΡΡ ΠΈΡΡΠ»Π΅Π΄ΠΎΠ²Π°Π½ΠΈΡ: ΡΡΠΎΡΠ½Π΅Π½ΠΎ ΠΏΠΎΠ½ΡΡΠΈΠ΅ ΠΈΠ½ΡΡΠΈΡΡΡΠΈΠΎΠ½Π°Π»ΡΠ½ΠΎΠ³ΠΎ ΠΌΠ΅Ρ
Π°Π½ΠΈΠ·ΠΌΠ° Π°Π΄Π°ΠΏΡΠ°ΡΠΈΠΈ Π½Π°ΡΠ΅Π»Π΅Π½ΠΈΡ ΠΊΠ°ΠΊ ΡΠΎΠ²ΠΎΠΊΡΠΏΠ½ΠΎΡΡΡ ΠΏΠΎΡΠ»Π΅Π΄ΠΎΠ²Π°ΡΠ΅Π»ΡΠ½ΡΡ
Π΄Π΅ΠΉΡΡΠ²ΠΈΠΉ ΡΠΎΡΠΈΠ°Π»ΡΠ½ΠΎ-ΡΠΊΠΎΠ½ΠΎΠΌΠΈΡΠ΅ΡΠΊΠΈΡ
ΠΈΠ½ΡΡΠΈΡΡΡΠΎΠ², ΠΎΠ±Π΅ΡΠΏΠ΅ΡΠΈΠ²Π°ΡΡΠ°Ρ ΠΈΡ
ΡΠ΅Π·ΡΠ»ΡΡΠ°ΡΠΈΠ²Π½ΠΎΠ΅ Π²Π·Π°ΠΈΠΌΠΎΠ΄Π΅ΠΉΡΡΠ²ΠΈΠ΅ ΠΏΠΎΡΡΠ΅Π΄ΡΡΠ²ΠΎΠΌ Π²ΡΠΏΠΎΠ»Π½Π΅Π½ΠΈΡ ΡΠΎΡΠΌΠ°Π»ΡΠ½ΡΡ
ΠΈ Π½Π΅ΡΠΎΡΠΌΠ°Π»ΡΠ½ΡΡ
ΠΏΡΠ°Π²ΠΈΠ», Π½ΠΎΡΠΌ ΠΈ ΡΡΠ°Π½Π΄Π°ΡΡΠΎΠ² Ρ ΡΠ΅Π»ΡΡ ΠΏΠΎΠ²ΡΡΠ΅Π½ΠΈΡ ΡΡΠΎΠ²Π½Ρ ΠΈ ΠΊΠ°ΡΠ΅ΡΡΠ²Π° ΠΆΠΈΠ·Π½ΠΈ Π½Π°ΡΠ΅Π»Π΅Π½ΠΈΡ. Π ΡΡΠΎΠΉ ΡΠ²ΡΠ·ΠΈ ΡΠ°Π·ΡΠ°Π±ΠΎΡΠ°Π½ ΠΈΠ½ΡΡΡΡΠΌΠ΅Π½ΡΠ°ΡΠΈΠΉ ΠΊ ΠΎΠΏΡΠ΅Π΄Π΅Π»Π΅Π½ΠΈΡ ΡΠ΅Π·ΡΠ»ΡΡΠ°ΡΠΈΠ²Π½ΠΎΡΡΠΈ ΠΈΠ½ΡΡΠΈΡΡΡΠΈΠΎΠ½Π°Π»ΡΠ½ΡΡ
ΠΌΠ΅Ρ
Π°Π½ΠΈΠ·ΠΌΠΎΠ² Π°Π΄Π°ΠΏΡΠ°ΡΠΈΠΈ Π½Π°ΡΠ΅Π»Π΅Π½ΠΈΡ ΠΏΠΎ ΠΏΠΎΠΊΠ°Π·Π°ΡΠ΅Π»ΡΠΌ Π²ΠΎΡΠΏΡΠΎΠΈΠ·Π²ΠΎΠ΄ΡΡΠ²Π° Π½Π°ΡΠ΅Π»Π΅Π½ΠΈΡ, ΡΠΎΡΡΠ° Π΄ΠΎΠ±Π°Π²Π»Π΅Π½Π½ΠΎΠΉ ΡΡΠΎΠΈΠΌΠΎΡΡΠΈ, ΡΡΠΎΠ²Π½Ρ ΠΆΠΈΠ·Π½ΠΈ Π½Π°ΡΠ΅Π»Π΅Π½ΠΈΡ. ΠΠ° ΠΏΠΎΡΠ»Π΅Π΄Π½ΠΈΠ΅ 30 Π»Π΅Ρ ΠΏΡΠΎΠΈΠ·ΠΎΡΠ»ΠΈ ΡΡΡΠ΅ΡΡΠ²Π΅Π½Π½ΡΠ΅ ΠΈΠ·ΠΌΠ΅Π½Π΅Π½ΠΈΡ Π²ΠΎ ΠΌΠ½ΠΎΠ³ΠΈΡ
ΡΠ΅Π³ΠΈΠΎΠ½Π°Ρ
ΡΡΡΠ°Π½Ρ Π² ΠΎΡΠ½ΠΎΡΠ΅Π½ΠΈΠΈ ΠΈΡΠΏΠΎΠ»ΡΠ·ΠΎΠ²Π°Π½ΠΈΡ ΠΈΠ½ΡΡΠΈΡΡΡΠΈΠΎΠ½Π°Π»ΡΠ½ΡΡ
ΠΌΠ΅Ρ
Π°Π½ΠΈΠ·ΠΌΠΎΠ² Π°Π΄Π°ΠΏΡΠ°ΡΠΈΠΈ Π½Π°ΡΠ΅Π»Π΅Π½ΠΈΡ, ΠΊΠΎΡΠΎΡΡΠ΅ ΡΠΏΠΎΡΠΎΠ±ΡΡΠ²ΠΎΠ²Π°Π»ΠΈ ΠΏΠΎΠ²ΡΡΠ΅Π½ΠΈΡ ΡΡΠΎΠ²Π½Ρ ΡΠ΅Π·ΡΠ»ΡΡΠ°ΡΠΈΠ²Π½ΠΎΡΡΠΈ Π΄Π΅ΡΡΠ΅Π»ΡΠ½ΠΎΡΡΠΈ ΡΡΠ±ΡΠ΅ΠΊΡΠΎΠ² Ρ
ΠΎΠ·ΡΠΉΡΡΠ²ΠΎΠ²Π°Π½ΠΈΡ ΠΈ ΡΠ°ΡΠΊΡΡΡΠΈΡ ΠΎΡΠΎΠ±Π΅Π½Π½ΠΎΡΡΠ΅ΠΉ ΠΊΠΎΠ½ΠΊΡΠ΅ΡΠ½ΡΡ
ΡΠ΅ΡΡΠΈΡΠΎΡΠΈΠΉ. ΠΠ΄Π½Π°ΠΊΠΎ Π² ΡΡΠ΄Π΅ ΡΠ΅Π³ΠΈΠΎΠ½ΠΎΠ² ΡΡΡΠ°Π½Ρ, Π² ΡΠΎΠΌ ΡΠΈΡΠ»Π΅ ΠΡΡΠ³Π°Π½ΡΠΊΠΎΠΉ ΠΎΠ±Π»Π°ΡΡΠΈ, ΠΏΡΠΎΠΈΡΡ
ΠΎΠ΄ΠΈΡ Π·Π½Π°ΡΠΈΡΠ΅Π»ΡΠ½ΠΎΠ΅ ΡΠ½ΠΈΠΆΠ΅Π½ΠΈΠ΅ ΡΠΈΡΠ»Π΅Π½Π½ΠΎΡΡΠΈ ΠΈ ΠΌΠΈΠ³ΡΠ°ΡΠΈΠΎΠ½Π½ΡΠΉ ΠΎΡΡΠΎΠΊ Π½Π°ΡΠ΅Π»Π΅Π½ΠΈΡ, ΠΌΠ΅Π΄Π»Π΅Π½Π½ΠΎ ΡΠ²Π΅Π»ΠΈΡΠΈΠ²Π°ΡΡΡΡ ΡΠ΅Π°Π»ΡΠ½ΡΠ΅ Π΄ΠΎΡ
ΠΎΠ΄Ρ Π½Π°ΡΠ΅Π»Π΅Π½ΠΈΡ.ΠΠ°ΠΊΠ»ΡΡΠ΅Π½ΠΈΠ΅: ΠΈΡΠΏΠΎΠ»ΡΠ·ΠΎΠ²Π°Π½ΠΈΠ΅ ΡΡΠ°ΡΠΈΡΡΠΈΡΠ΅ΡΠΊΠΎΠ³ΠΎ ΠΏΠΎΠ΄Ρ
ΠΎΠ΄Π° ΠΏΠΎΠ·Π²ΠΎΠ»ΡΠ΅Ρ ΠΎΠΏΡΠ΅Π΄Π΅Π»ΠΈΡΡ Π½Π΅ ΡΠΎΠ»ΡΠΊΠΎ ΡΠ΅Π·ΡΠ»ΡΡΠ°ΡΠΈΠ²Π½ΠΎΡΡΡ ΠΈΠ½ΡΡΠΈΡΡΡΠΈΠΎΠ½Π°Π»ΡΠ½ΡΡ
ΠΌΠ΅Ρ
Π°Π½ΠΈΠ·ΠΌΠΎΠ² Π°Π΄Π°ΠΏΡΠ°ΡΠΈΠΈ Π½Π°ΡΠ΅Π»Π΅Π½ΠΈΡ, Π½ΠΎ ΠΈ ΡΡΡΠ΅ΠΊΡΠΈΠ²Π½ΠΎΡΡΡ ΡΠ΅Π°Π»ΠΈΠ·ΡΠ΅ΠΌΡΡ
ΡΡΡΠ°ΡΠ΅Π³ΠΈΠΉ ΡΠ°Π·Π²ΠΈΡΠΈΡ Π½Π° ΠΏΠ΅ΡΡΠΏΠ΅ΠΊΡΠΈΠ²Ρ ΠΈ ΠΊΠ°ΡΠ΅ΡΡΠ²ΠΎ ΠΏΡΠΈΠ½ΠΈΠΌΠ°Π΅ΠΌΡΡ
ΡΠ΅ΡΠ΅Π½ΠΈΠΉ ΠΎΡΠ³Π°Π½Π°ΠΌΠΈ ΡΠΏΡΠ°Π²Π»Π΅Π½ΠΈΡ. ΠΡΡΠ²Π»Π΅Π½Ρ Π²Π·Π°ΠΈΠΌΠΎΡΠ²ΡΠ·ΠΈ ΠΈΡΠΏΠΎΠ»ΡΠ·ΡΠ΅ΠΌΡΡ
ΠΈΠ½ΡΡΠΈΡΡΡΠΈΠΎΠ½Π°Π»ΡΠ½ΡΡ
ΠΌΠ΅Ρ
Π°Π½ΠΈΠ·ΠΌΠΎΠ² Π°Π΄Π°ΠΏΡΠ°ΡΠΈΠΈ Π½Π°ΡΠ΅Π»Π΅Π½ΠΈΡ Ρ ΡΡΠΎΠ²Π½Π΅ΠΌ ΡΠΊΠΎΠ½ΠΎΠΌΠΈΡΠ΅ΡΠΊΠΎΠ³ΠΎ ΠΏΠΎΡΠ΅Π½ΡΠΈΠ°Π»Π° ΡΠ΅ΡΡΠΈΡΠΎΡΠΈΠΈ. Π£ΡΡΠ°Π½ΠΎΠ²Π»Π΅Π½ΠΎ, ΡΡΠΎ Π½Π°ΡΠ΅Π»Π΅Π½ΠΈΠ΅ Π±ΡΡΡΡΠ΅Π΅ Π°Π΄Π°ΠΏΡΠΈΡΡΠ΅ΡΡΡ ΠΊ ΡΡΠΎΠ²Π΅ΡΡΠ΅Π½ΡΡΠ²ΠΎΠ²Π°Π½Π½ΡΠΌ ΠΈΠ½ΡΡΠΈΡΡΡΠΈΠΎΠ½Π°Π»ΡΠ½ΡΠΌ ΠΌΠ΅Ρ
Π°Π½ΠΈΠ·ΠΌΠ°ΠΌ, ΠΏΡΠΈ ΡΠ½ΠΈΠΆΠ΅Π½ΠΈΠΈ ΡΠΎΡΠΈΠ°Π»ΡΠ½ΠΎΠΉ Π½Π°ΠΏΡΡΠΆΠ΅Π½Π½ΠΎΡΡΠΈ ΠΈ ΡΠ²Π΅Π»ΠΈΡΠ΅Π½ΠΈΡ ΠΏΠΎΠ΄Π΄Π΅ΡΠΆΠΊΠΈ Π»ΡΠ΄Π΅ΠΉ Π² ΠΊΡΠΈΠ·ΠΈΡΠ½ΡΡ
ΡΠΈΡΡΠ°ΡΠΈΡΡ
. ΠΠ±ΠΎΡΠ½ΠΎΠ²Π°Π½Ρ ΠΎΡΠ½ΠΎΠ²Π½ΡΠ΅ Π½Π°ΠΏΡΠ°Π²Π»Π΅Π½ΠΈΡ Π΄Π°Π»ΡΠ½Π΅ΠΉΡΠΈΡ
ΠΈΡΡΠ»Π΅Π΄ΠΎΠ²Π°Π½ΠΈΠΉ ΠΏΠΎ ΠΏΡΠΎΠ±Π»Π΅ΠΌΠ°ΠΌ ΠΈΠ·ΠΌΠ΅Π½Π΅Π½ΠΈΠΉ ΠΈΠ½ΡΡΠΈΡΡΡΠΈΠΎΠ½Π°Π»ΡΠ½ΡΡ
ΠΌΠ΅Ρ
Π°Π½ΠΈΠ·ΠΌΠΎΠ² Π°Π΄Π°ΠΏΡΠ°ΡΠΈΠΈ Π½Π°ΡΠ΅Π»Π΅Π½ΠΈΡ ΠΈ ΠΎΡΠ΅Π½ΠΊΠΈ ΠΈΡ
ΡΠ΅Π·ΡΠ»ΡΡΠ°ΡΠΈΠ²Π½ΠΎΡΡΠΈ Π² ΡΡΠ»ΠΎΠ²ΠΈΡΡ
ΠΏΠ΅ΡΠ΅Ρ
ΠΎΠ΄Π° ΠΊ Π΄ΠΈΠ½Π°ΠΌΠΈΡΠ½ΠΎΠΌΡ ΡΠ°Π·Π²ΠΈΡΠΈΡ
Π‘ΡΡΠ°ΡΠ΅Π³ΠΈΡΠ΅ΡΠΊΠΈΠ΅ Π½Π°ΠΏΡΠ°Π²Π»Π΅Π½ΠΈΡ ΡΠ°Π·Π²ΠΈΡΠΈΡ ΠΈΠ½ΡΡΠΈΡΡΡΠΈΠΎΠ½Π°Π»ΡΠ½ΡΡ ΠΌΠ΅Ρ Π°Π½ΠΈΠ·ΠΌΠΎΠ² ΡΠΏΡΠ°Π²Π»Π΅Π½ΠΈΡ ΠΈ Π°Π΄Π°ΠΏΡΠ°ΡΠΈΠΈ ΠΊ Π½ΠΈΠΌ Π½Π°ΡΠ΅Π»Π΅Π½ΠΈΡ ΡΠ΅Π³ΠΈΠΎΠ½Π°
The purpose of the study is to substantiate the tools for developing regional directions for the development of institutional management mechanisms and adaptation of the population to them based on the strategic priorities of the state. The problem of working out strategic directions for the development of the region is connected with the differences, peculiarities and capabilities of each territory of the country. The adoption of the Decree of the President of the Russian Federation in 2020 βOn the national development goals of the Russian Federation for the period up to 2030β required changing the regional goals and directions of territorial development. The relevance of the study is related to the aggravation of socio-demographic problems that negatively affect the well-being and health of people, labor efficiency and entrepreneurship, and the adaptation of the population to modern threats. Hypothesis β the effectiveness of strategic directions for the development of institutional mechanisms for managing the region and adapting the population to them is proposed to be carried out on the basis of balance sheet structures.Methods: balance method, index method, structural method, comparative estimates and methodology of official statistics.Results. The main strategic directions for the development of institutional management mechanisms of the subsidized region have been worked out, which include: preservation of the population, health and well-being of people; accelerated development of the militaryindustrial complex and the agro-food system; creation of a comfortable and safe environment for life, successful entrepreneurship and digital transformation. The theoretical scheme of strategic directions of economic development based on the balance of interests of employees and employers is substantiated. Based on the assessment of the state of the regional economy of the Kurgan region, strategic directions of economic development for the period up to 2030 are substantiated.Conclusion. The advantage of this approach is the ability to take into account the peculiarities and differences in the functioning of management mechanisms and adaptation to them of the population of the countryβs regions. Strategic directions of the regionβs development will allow organizing further research to solve the problems of population reproduction, quality of life and sustainability of the functioning of the economy, in the long term to determine the effective and negative factors affecting the living conditions of people.Β Π¦Π΅Π»ΡΡ ΠΈΡΡΠ»Π΅Π΄ΠΎΠ²Π°Π½ΠΈΡ ΡΠ²Π»ΡΠ΅ΡΡΡ ΠΎΠ±ΠΎΡΠ½ΠΎΠ²Π°Π½ΠΈΠ΅ ΠΈΠ½ΡΡΡΡΠΌΠ΅Π½ΡΠ°ΡΠΈΡ Π΄Π»Ρ ΡΠ°Π·ΡΠ°Π±ΠΎΡΠΊΠΈ ΡΠ΅Π³ΠΈΠΎΠ½Π°Π»ΡΠ½ΡΡ
Π½Π°ΠΏΡΠ°Π²Π»Π΅Π½ΠΈΠΉ ΡΠ°Π·Π²ΠΈΡΠΈΡ ΠΈΠ½ΡΡΠΈΡΡΡΠΈΠΎΠ½Π°Π»ΡΠ½ΡΡ
ΠΌΠ΅Ρ
Π°Π½ΠΈΠ·ΠΌΠΎΠ² ΡΠΏΡΠ°Π²Π»Π΅Π½ΠΈΡ ΠΈ Π°Π΄Π°ΠΏΡΠ°ΡΠΈΠΈ ΠΊ Π½ΠΈΠΌ Π½Π°ΡΠ΅Π»Π΅Π½ΠΈΡ Π½Π° ΠΎΡΠ½ΠΎΠ²Π΅ ΡΡΡΠ°ΡΠ΅Π³ΠΈΡΠ΅ΡΠΊΠΈΡ
ΠΏΡΠΈΠΎΡΠΈΡΠ΅ΡΠΎΠ² Π³ΠΎΡΡΠ΄Π°ΡΡΡΠ²Π°. ΠΡΠΎΠ±Π»Π΅ΠΌΠ° ΡΠ°Π·ΡΠ°Π±ΠΎΡΠΊΠΈ ΡΡΡΠ°ΡΠ΅Π³ΠΈΡΠ΅ΡΠΊΠΈΡ
Π½Π°ΠΏΡΠ°Π²Π»Π΅Π½ΠΈΠΉ ΡΠ°Π·Π²ΠΈΡΠΈΡ ΡΠ΅Π³ΠΈΠΎΠ½Π° ΡΠ²ΡΠ·Π°Π½Π° Ρ ΡΠ°Π·Π»ΠΈΡΠΈΠ΅ΠΌ, ΠΎΡΠΎΠ±Π΅Π½Π½ΠΎΡΡΡΠΌΠΈ ΠΈ Π²ΠΎΠ·ΠΌΠΎΠΆΠ½ΠΎΡΡΡΠΌΠΈ ΠΊΠ°ΠΆΠ΄ΠΎΠΉ ΡΠ΅ΡΡΠΈΡΠΎΡΠΈΠΈ ΡΡΡΠ°Π½Ρ. ΠΡΠΈΠ½ΡΡΠΈΠ΅ Π£ΠΊΠ°Π·Π° ΠΡΠ΅Π·ΠΈΠ΄Π΅Π½ΡΠ° Π ΠΎΡΡΠΈΠΉΡΠΊΠΎΠΉ Π€Π΅Π΄Π΅ΡΠ°ΡΠΈΠΈ Π² 2020 Π³ΠΎΠ΄Ρ Β«Π Π½Π°ΡΠΈΠΎΠ½Π°Π»ΡΠ½ΡΡ
ΡΠ΅Π»Π΅ΠΉ ΡΠ°Π·Π²ΠΈΡΠΈΡ Π ΠΎΡΡΠΈΠΉΡΠΊΠΎΠΉ Π€Π΅Π΄Π΅ΡΠ°ΡΠΈΠΈ Π½Π° ΠΏΠ΅ΡΠΈΠΎΠ΄ Π΄ΠΎ 2030 Π³ΠΎΠ΄Π°Β» ΠΏΠΎΡΡΠ΅Π±ΠΎΠ²Π°Π»ΠΎ ΠΈΠ·ΠΌΠ΅Π½ΠΈΡΡ ΡΠ΅Π³ΠΈΠΎΠ½Π°Π»ΡΠ½ΡΠ΅ ΡΠ΅Π»ΠΈ ΠΈ Π½Π°ΠΏΡΠ°Π²Π»Π΅Π½ΠΈΡ ΡΠ°Π·Π²ΠΈΡΠΈΡ ΡΠ΅ΡΡΠΈΡΠΎΡΠΈΠΉ. ΠΠΊΡΡΠ°Π»ΡΠ½ΠΎΡΡΡ ΠΈΡΡΠ»Π΅Π΄ΠΎΠ²Π°Π½ΠΈΡ ΡΠ²ΡΠ·Π°Π½Π° Ρ ΠΎΠ±ΠΎΡΡΡΠ΅Π½ΠΈΠ΅ΠΌ ΡΠΎΡΠΈΠ°Π»ΡΠ½ΠΎ-Π΄Π΅ΠΌΠΎΠ³ΡΠ°ΡΠΈΡΠ΅ΡΠΊΠΈΡ
ΠΏΡΠΎΠ±Π»Π΅ΠΌ, ΠΊΠΎΡΠΎΡΡΠ΅ Π½Π΅Π³Π°ΡΠΈΠ²Π½ΠΎ Π²Π»ΠΈΡΡΡ Π½Π° Π±Π»Π°Π³ΠΎΠΏΠΎΠ»ΡΡΠΈΠ΅ ΠΈ Π·Π΄ΠΎΡΠΎΠ²ΡΠ΅ Π»ΡΠ΄Π΅ΠΉ, ΡΡΡΠ΅ΠΊΡΠΈΠ²Π½ΠΎΡΡΡ ΡΡΡΠ΄Π° ΠΈ ΠΏΡΠ΅Π΄ΠΏΡΠΈΠ½ΠΈΠΌΠ°ΡΠ΅Π»ΡΡΡΠ²ΠΎ, Π½Π° Π°Π΄Π°ΠΏΡΠ°ΡΠΈΡ Π½Π°ΡΠ΅Π»Π΅Π½ΠΈΡ ΠΊ ΡΠΎΠ²ΡΠ΅ΠΌΠ΅Π½Π½ΡΠΌ ΡΠ³ΡΠΎΠ·Π°ΠΌ. ΠΠΈΠΏΠΎΡΠ΅Π·Π° β ΡΠ΅Π·ΡΠ»ΡΡΠ°ΡΠΈΠ²Π½ΠΎΡΡΡ ΡΡΡΠ°ΡΠ΅Π³ΠΈΡΠ΅ΡΠΊΠΈΡ
Π½Π°ΠΏΡΠ°Π²Π»Π΅Π½ΠΈΠΉ ΡΠ°Π·Π²ΠΈΡΠΈΡ ΠΈΠ½ΡΡΠΈΡΡΡΠΈΠΎΠ½Π°Π»ΡΠ½ΡΡ
ΠΌΠ΅Ρ
Π°Π½ΠΈΠ·ΠΌΠΎΠ² ΡΠΏΡΠ°Π²Π»Π΅Π½ΠΈΡ ΡΠ΅Π³ΠΈΠΎΠ½ΠΎΠΌ ΠΈ Π°Π΄Π°ΠΏΡΠ°ΡΠΈΠΈ ΠΊ Π½ΠΈΠΌ Π½Π°ΡΠ΅Π»Π΅Π½ΠΈΡ ΠΏΡΠ΅Π΄Π»Π°Π³Π°Π΅ΡΡΡ ΠΏΡΠΎΠ²ΠΎΠ΄ΠΈΡΡ Π½Π° ΠΎΡΠ½ΠΎΠ²Π΅ Π±Π°Π»Π°Π½ΡΠΎΠ²ΡΡ
ΠΏΠΎΡΡΡΠΎΠ΅Π½ΠΈΠΉ.ΠΠ΅ΡΠΎΠ΄Ρ: Π±Π°Π»Π°Π½ΡΠΎΠ²ΡΠΉ ΠΌΠ΅ΡΠΎΠ΄, ΠΈΠ½Π΄Π΅ΠΊΡΠ½ΡΠΉ, ΡΡΡΡΠΊΡΡΡΠ½ΡΠΉ, ΡΡΠ°Π²Π½ΠΈΡΠ΅Π»ΡΠ½ΡΡ
ΠΎΡΠ΅Π½ΠΎΠΊ ΠΈ ΠΌΠ΅ΡΠΎΠ΄ΠΎΠ»ΠΎΠ³ΠΈΡ ΠΎΡΠΈΡΠΈΠ°Π»ΡΠ½ΠΎΠΉ ΡΡΠ°ΡΠΈΡΡΠΈΠΊΠΈ.Π Π΅Π·ΡΠ»ΡΡΠ°ΡΡ: ΡΠ°Π·ΡΠ°Π±ΠΎΡΠ°Π½Ρ ΠΎΡΠ½ΠΎΠ²Π½ΡΠ΅ ΡΡΡΠ°ΡΠ΅Π³ΠΈΡΠ΅ΡΠΊΠΈΠ΅ Π½Π°ΠΏΡΠ°Π²Π»Π΅Π½ΠΈΡ ΡΠ°Π·Π²ΠΈΡΠΈΡ ΠΈΠ½ΡΡΠΈΡΡΡΠΈΠΎΠ½Π°Π»ΡΠ½ΡΡ
ΠΌΠ΅Ρ
Π°Π½ΠΈΠ·ΠΌΠΎΠ² ΡΠΏΡΠ°Π²Π»Π΅Π½ΠΈΡ Π΄ΠΎΡΠ°ΡΠΈΠΎΠ½Π½ΠΎΠ³ΠΎ ΡΠ΅Π³ΠΈΠΎΠ½Π°, ΠΊΠΎΡΠΎΡΡΠ΅ Π²ΠΊΠ»ΡΡΠ°ΡΡ Π² ΡΠ΅Π±Ρ: ΡΠΎΡ
ΡΠ°Π½Π΅Π½ΠΈΠ΅ Π½Π°ΡΠ΅Π»Π΅Π½ΠΈΡ, Π·Π΄ΠΎΡΠΎΠ²ΡΡ ΠΈ Π±Π»Π°Π³ΠΎΠΏΠΎΠ»ΡΡΠΈΡ Π»ΡΠ΄Π΅ΠΉ; ΡΡΠΊΠΎΡΠ΅Π½Π½ΠΎΠ³ΠΎ ΡΠ°Π·Π²ΠΈΡΠΈΠ΅ ΠΎΠ±ΠΎΡΠΎΠ½Π½ΠΎ-ΠΏΡΠΎΠΌΡΡΠ»Π΅Π½Π½ΠΎΠ³ΠΎ ΠΊΠΎΠΌΠΏΠ»Π΅ΠΊΡΠ° ΠΈ Π°Π³ΡΠΎΠΏΡΠΎΠ΄ΠΎΠ²ΠΎΠ»ΡΡΡΠ²Π΅Π½Π½ΠΎΠΉ ΡΠΈΡΡΠ΅ΠΌΡ; ΡΠΎΠ·Π΄Π°Π½ΠΈΠ΅ ΠΊΠΎΠΌΡΠΎΡΡΠ½ΠΎΠΉ ΠΈ Π±Π΅Π·ΠΎΠΏΠ°ΡΠ½ΠΎΠΉ ΡΡΠ΅Π΄Ρ Π΄Π»Ρ ΠΆΠΈΠ·Π½ΠΈ, ΡΡΠΏΠ΅ΡΠ½ΠΎΠ³ΠΎ ΠΏΡΠ΅Π΄ΠΏΡΠΈΠ½ΠΈΠΌΠ°ΡΠ΅Π»ΡΡΡΠ²Π° ΠΈ ΡΠΈΡΡΠΎΠ²ΠΎΠΉ ΡΡΠ°Π½ΡΡΠΎΡΠΌΠ°ΡΠΈΠΈ. ΠΠ±ΠΎΡΠ½ΠΎΠ²Π°Π½Π° ΡΠ΅ΠΎΡΠ΅ΡΠΈΡΠ΅ΡΠΊΠ°Ρ ΡΡ
Π΅ΠΌΠ° ΡΡΡΠ°ΡΠ΅Π³ΠΈΡΠ΅ΡΠΊΠΈΡ
Π½Π°ΠΏΡΠ°Π²Π»Π΅Π½ΠΈΠΉ ΡΠ°Π·Π²ΠΈΡΠΈΡ ΡΠΊΠΎΠ½ΠΎΠΌΠΈΠΊΠΈ Π½Π° ΠΎΡΠ½ΠΎΠ²Π΅ Π±Π°Π»Π°Π½ΡΠ° ΠΈΠ½ΡΠ΅ΡΠ΅ΡΠΎΠ² Π½Π°Π΅ΠΌΠ½ΡΡ
ΡΠ°Π±ΠΎΡΠ½ΠΈΠΊΠΎΠ² ΠΈ ΡΠ°Π±ΠΎΡΠΎΠ΄Π°ΡΠ΅Π»Π΅ΠΉ. ΠΠ° ΠΎΡΠ½ΠΎΠ²Π΅ ΠΎΡΠ΅Π½ΠΊΠΈ ΡΠΎΡΡΠΎΡΠ½ΠΈΡ ΡΠ΅Π³ΠΈΠΎΠ½Π°Π»ΡΠ½ΠΎΠ³ΠΎ Ρ
ΠΎΠ·ΡΠΉΡΡΠ²Π° ΠΡΡΠ³Π°Π½ΡΠΊΠΎΠΉ ΠΎΠ±Π»Π°ΡΡΠΈ ΠΎΠ±ΠΎΡΠ½ΠΎΠ²Π°Π½Ρ ΡΡΡΠ°ΡΠ΅Π³ΠΈΡΠ΅ΡΠΊΠΈΠ΅ Π½Π°ΠΏΡΠ°Π²Π»Π΅Π½ΠΈΡ ΡΠ°Π·Π²ΠΈΡΠΈΡ ΡΠΊΠΎΠ½ΠΎΠΌΠΈΠΊΠΈ Π½Π° ΠΏΠ΅ΡΠΈΠΎΠ΄ Π΄ΠΎ 2030 Π³ΠΎΠ΄Π°.ΠΠ°ΠΊΠ»ΡΡΠ΅Π½ΠΈΠ΅: ΠΏΡΠ΅ΠΈΠΌΡΡΠ΅ΡΡΠ²ΠΎΠΌ Π΄Π°Π½Π½ΠΎΠ³ΠΎ ΠΏΠΎΠ΄Ρ
ΠΎΠ΄Π° ΡΠ²Π»ΡΠ΅ΡΡΡ Π²ΠΎΠ·ΠΌΠΎΠΆΠ½ΠΎΡΡΡ ΡΡΠ΅ΡΠ° ΠΎΡΠΎΠ±Π΅Π½Π½ΠΎΡΡΠ΅ΠΉ ΠΈ ΡΠ°Π·Π»ΠΈΡΠΈΠΉ ΡΡΠ½ΠΊΡΠΈΠΎΠ½ΠΈΡΠΎΠ²Π°Π½ΠΈΡ ΠΌΠ΅Ρ
Π°Π½ΠΈΠ·ΠΌΠΎΠ² ΡΠΏΡΠ°Π²Π»Π΅Π½ΠΈΡ ΠΈ Π°Π΄Π°ΠΏΡΠ°ΡΠΈΠΈ ΠΊ Π½ΠΈΠΌ Π½Π°ΡΠ΅Π»Π΅Π½ΠΈΡ ΡΠ΅Π³ΠΈΠΎΠ½ΠΎΠ² ΡΡΡΠ°Π½Ρ. Π‘ΡΡΠ°ΡΠ΅Π³ΠΈΡΠ΅ΡΠΊΠΈΠ΅ Π½Π°ΠΏΡΠ°Π²Π»Π΅Π½ΠΈΡ ΡΠ°Π·Π²ΠΈΡΠΈΡ ΡΠ΅Π³ΠΈΠΎΠ½Π° ΠΏΠΎΠ·Π²ΠΎΠ»ΡΡ ΠΎΡΠ³Π°Π½ΠΈΠ·ΠΎΠ²Π°ΡΡ Π΄Π°Π»ΡΠ½Π΅ΠΉΡΠΈΠ΅ ΠΈΡΡΠ»Π΅Π΄ΠΎΠ²Π°Π½ΠΈΡ ΠΏΠΎ ΡΠ΅ΡΠ΅Π½ΠΈΡ ΠΏΡΠΎΠ±Π»Π΅ΠΌ Π²ΠΎΡΠΏΡΠΎΠΈΠ·Π²ΠΎΠ΄ΡΡΠ²Π° Π½Π°ΡΠ΅Π»Π΅Π½ΠΈΡ, ΠΊΠ°ΡΠ΅ΡΡΠ²Π° ΠΆΠΈΠ·Π½ΠΈ ΠΈ ΡΡΡΠΎΠΉΡΠΈΠ²ΠΎΡΡΠΈ ΡΡΠ½ΠΊΡΠΈΠΎΠ½ΠΈΡΠΎΠ²Π°Π½ΠΈΡ ΡΠΊΠΎΠ½ΠΎΠΌΠΈΠΊΠΈ, Π² ΠΏΠ΅ΡΡΠΏΠ΅ΠΊΡΠΈΠ²Π΅ ΠΎΠΏΡΠ΅Π΄Π΅Π»ΡΡΡ ΡΠ΅Π·ΡΠ»ΡΡΠ°ΡΠΈΠ²Π½ΡΠ΅ ΠΈ Π½Π΅Π³Π°ΡΠΈΠ²Π½ΡΠ΅ ΡΠ°ΠΊΡΠΎΡΡ, Π²Π»ΠΈΡΡΡΠΈΠ΅ Π½Π° ΡΡΠ»ΠΎΠ²ΠΈΡ ΠΆΠΈΠ·Π½Π΅Π΄Π΅ΡΡΠ΅Π»ΡΠ½ΠΎΡΡΠΈ Π»ΡΠ΄Π΅ΠΉ
ΠΠ΅ΠΆΡΠ΅Π³ΠΈΠΎΠ½Π°Π»ΡΠ½Π°Ρ ΠΎΡΠ΅Π½ΠΊΠ° ΠΌΠΎΠ΄Π΅Π»Π΅ΠΉ Π°Π΄Π°ΠΏΡΠ°ΡΠΈΠΈ Π½Π°ΡΠ΅Π»Π΅Π½ΠΈΡ Π² ΡΡΠ»ΠΎΠ²ΠΈΡΡ Π΄ΠΈΠ½Π°ΠΌΠΈΡΠ½ΠΎΠ³ΠΎ ΡΠ°Π·Π²ΠΈΡΠΈΡ: ΡΡΠ°ΡΠΈΡΡΠΈΡΠ΅ΡΠΊΠΈΠΉ ΠΏΠΎΠ΄Ρ ΠΎΠ΄
The purpose of the study is to substantiate the tools for the interregional assessment of models of adaptation of the country's population. The study uses statistical methods that comply with international norms and standards, including the system of national accounts. It is assumed that the assessment of the models of adaptation of the population of the regions is determined on the basis of the characteristics of the living conditions and the economic potential operating in a particular territory. Models of adaptation of the population in the conditions of dynamic development include interaction of internal systems of the person and external systems of the environment for satisfaction of needs, creation of new goods, improvement of living conditions and safety of people. The following types of population adaptation models are used: active, optimal, inertial, and passive.The materials and methods of the study are the use of official data of the Federal State Statistics Service using the following methods: index, trend, balance, grouping, comparison, and multi-factor analysis. The author conducted an interregional assessment of population adaptation models of the country's regions according to 24 quantitative and qualitative indicators, which allow to objectively measuring the general state of the economy of the territories and the level of adaptability of the population for the period 2005-2019.Based on the results of the review of theoretical approaches, it is concluded that the models of population adaptation can be described as a complex object of research. Based on the measurement of the main socio-economic indicators, the ratings of the interregional assessment of population adaptation models, the living conditions of the population (work, life, leisure and security), the state of the economy and the standard of living of people are calculated. Over the past 15 years, there have been significant changes in many regions of the country in terms of the use of population adaptation models, which have contributed to an increase in the speed of adaptation of people to any situation. Thus, the central and north-western federal districts revealed an excessive concentration of financial, labor, administrative and material resources. Natural, industrial, technological, and economic resources are concentrated in the regions of the Volga, Ural, and Siberian federal districts. The regions of the southern and North Caucasus federal districts specialize in the development of recreational, agri-food, road, and housing and communal resources. The regions of the Far Eastern Federal District have the largest area of territory, investment activity, high per capita income of the population and wages of employees of organizations. However, in the territories, the living conditions of the population deteriorate, there is a significant migration outflow, and the adaptation of the population is slowed down.Conclusion: the use of the statistical approach for the interregional assessment of population adaptation models allowed to improve the quality of the information base, to determine the real state and contribution of each region to the country's economy, to measure the level of regional adaptability, which is of crucial importance when drawing up strategic directions for regional socio-economic development, to develop recommendations for improving regional policy in the conditions of dynamic development of territories.Π¦Π΅Π»Ρ ΠΈΡΡΠ»Π΅Π΄ΠΎΠ²Π°Π½ΠΈΡ ΡΠΎΡΡΠΎΠΈΡ Π² ΠΎΠ±ΠΎΡΠ½ΠΎΠ²Π°Π½ΠΈΠΈ ΠΈΠ½ΡΡΡΡΠΌΠ΅Π½ΡΠ°ΡΠΈΡ ΠΌΠ΅ΠΆΡΠ΅Π³ΠΈΠΎΠ½Π°Π»ΡΠ½ΠΎΠΉ ΠΎΡΠ΅Π½ΠΊΠΈ ΠΌΠΎΠ΄Π΅Π»Π΅ΠΉ Π°Π΄Π°ΠΏΡΠ°ΡΠΈΠΈ Π½Π°ΡΠ΅Π»Π΅Π½ΠΈΡ ΡΡΡΠ°Π½Ρ. Π ΠΈΡΡΠ»Π΅Π΄ΠΎΠ²Π°Π½ΠΈΠΈ ΠΏΡΠΈΠΌΠ΅Π½Π΅Π½Ρ ΡΡΠ°ΡΠΈΡΡΠΈΡΠ΅ΡΠΊΠΈΠ΅ ΠΌΠ΅ΡΠΎΠ΄Ρ, ΡΠΎΠΎΡΠ²Π΅ΡΡΡΠ²ΡΡΡΠΈΠ΅ ΠΌΠ΅ΠΆΠ΄ΡΠ½Π°ΡΠΎΠ΄Π½ΡΠΌ Π½ΠΎΡΠΌΠ°ΠΌ ΠΈ ΡΡΠ°Π½Π΄Π°ΡΡΠ°ΠΌ, Π² ΡΠΎΠΌ ΡΠΈΡΠ»Π΅ ΡΠΈΡΡΠ΅ΠΌΠ΅ Π½Π°ΡΠΈΠΎΠ½Π°Π»ΡΠ½ΡΡ
ΡΡΠ΅ΡΠΎΠ². ΠΡΠ΅Π΄ΠΏΠΎΠ»Π°Π³Π°Π΅ΡΡΡ, ΡΡΠΎ ΠΎΡΠ΅Π½ΠΊΠ° ΠΌΠΎΠ΄Π΅Π»Π΅ΠΉ Π°Π΄Π°ΠΏΡΠ°ΡΠΈΠΈ Π½Π°ΡΠ΅Π»Π΅Π½ΠΈΡ ΡΠ΅Π³ΠΈΠΎΠ½ΠΎΠ² ΠΎΠΏΡΠ΅Π΄Π΅Π»ΡΠ΅ΡΡΡ Π½Π° ΠΎΡΠ½ΠΎΠ²Π΅ Ρ
Π°ΡΠ°ΠΊΡΠ΅ΡΠΈΡΡΠΈΠΊΠΈ ΡΡΠ»ΠΎΠ²ΠΈΠΉ ΠΆΠΈΠ·Π½Π΅Π΄Π΅ΡΡΠ΅Π»ΡΠ½ΠΎΡΡΠΈ ΠΈ ΡΠΊΠΎΠ½ΠΎΠΌΠΈΡΠ΅ΡΠΊΠΎΠ³ΠΎ ΠΏΠΎΡΠ΅Π½ΡΠΈΠ°Π»Π°, Π΄Π΅ΠΉΡΡΠ²ΡΡΡΠ΅Π³ΠΎ Π½Π° ΠΊΠΎΠ½ΠΊΡΠ΅ΡΠ½ΠΎΠΉ ΡΠ΅ΡΡΠΈΡΠΎΡΠΈΠΈ. ΠΠΎΠ΄Π΅Π»ΠΈ Π°Π΄Π°ΠΏΡΠ°ΡΠΈΠΈ Π½Π°ΡΠ΅Π»Π΅Π½ΠΈΡ Π² ΡΡΠ»ΠΎΠ²ΠΈΡΡ
Π΄ΠΈΠ½Π°ΠΌΠΈΡΠ½ΠΎΠ³ΠΎ ΡΠ°Π·Π²ΠΈΡΠΈΡ Π²ΠΊΠ»ΡΡΠ°ΡΡ Π² ΡΠ΅Π±Ρ Π²Π·Π°ΠΈΠΌΠΎΠ΄Π΅ΠΉΡΡΠ²ΠΈΠ΅ Π²Π½ΡΡΡΠ΅Π½Π½ΠΈΡ
ΡΠΈΡΡΠ΅ΠΌ ΡΠ΅Π»ΠΎΠ²Π΅ΠΊΠ° ΠΈ Π²Π½Π΅ΡΠ½ΠΈΡ
ΡΠΈΡΡΠ΅ΠΌ ΠΎΠΊΡΡΠΆΠ°ΡΡΠ΅ΠΉ ΡΡΠ΅Π΄Ρ Π΄Π»Ρ ΡΠ΄ΠΎΠ²Π»Π΅ΡΠ²ΠΎΡΠ΅Π½ΠΈΡ ΠΏΠΎΡΡΠ΅Π±Π½ΠΎΡΡΠ΅ΠΉ, ΡΠΎΠ·Π΄Π°Π½ΠΈΡ Π½ΠΎΠ²ΡΡ
Π±Π»Π°Π³, ΡΠ»ΡΡΡΠ΅Π½ΠΈΡ ΡΡΠ»ΠΎΠ²ΠΈΠΉ ΠΆΠΈΠ·Π½Π΅Π΄Π΅ΡΡΠ΅Π»ΡΠ½ΠΎΡΡΠΈ ΠΈ Π±Π΅Π·ΠΎΠΏΠ°ΡΠ½ΠΎΡΡΠΈ Π»ΡΠ΄Π΅ΠΉ. ΠΡΠΏΠΎΠ»ΡΠ·ΡΡΡΡΡ ΡΠ»Π΅Π΄ΡΡΡΠΈΠ΅ Π²ΠΈΠ΄Ρ ΠΌΠΎΠ΄Π΅Π»Π΅ΠΉ Π°Π΄Π°ΠΏΡΠ°ΡΠΈΠΈ Π½Π°ΡΠ΅Π»Π΅Π½ΠΈΡ: Π°ΠΊΡΠΈΠ²Π½Π°Ρ, ΠΎΠΏΡΠΈΠΌΠ°Π»ΡΠ½Π°Ρ, ΠΈΠ½Π΅ΡΡΠΈΠΎΠ½Π½Π°Ρ ΠΈ ΠΏΠ°ΡΡΠΈΠ²Π½Π°Ρ.ΠΠ°ΡΠ΅ΡΠΈΠ°Π»Π°ΠΌΠΈ ΠΈ ΠΌΠ΅ΡΠΎΠ΄Π°ΠΌΠΈ ΠΈΡΡΠ»Π΅Π΄ΠΎΠ²Π°Π½ΠΈΡ ΡΠ²Π»ΡΠ΅ΡΡΡ ΠΏΡΠΈΠΌΠ΅Π½Π΅Π½ΠΈΠ΅ ΠΎΡΠΈΡΠΈΠ°Π»ΡΠ½ΡΡ
Π΄Π°Π½Π½ΡΡ
ΡΠ΅Π΄Π΅ΡΠ°Π»ΡΠ½ΠΎΠΉ ΡΠ»ΡΠΆΠ±Ρ Π³ΠΎΡΡΠ΄Π°ΡΡΡΠ²Π΅Π½Π½ΠΎΠΉ ΡΡΠ°ΡΠΈΡΡΠΈΠΊΠΈ Ρ ΠΈΡΠΏΠΎΠ»ΡΠ·ΠΎΠ²Π°Π½ΠΈΠ΅ΠΌ ΡΠ»Π΅Π΄ΡΡΡΠΈΡ
ΠΌΠ΅ΡΠΎΠ΄ΠΎΠ²: ΠΈΠ½Π΄Π΅ΠΊΡΠ½ΡΠΌ, ΡΡΠ΅Π½Π΄ΠΎΠ²ΡΠΌ, Π±Π°Π»Π°Π½ΡΠΎΠ²ΡΠΌ, Π³ΡΡΠΏΠΏΠΈΡΠΎΠ²ΠΎΠΊ, ΡΠΎΠΏΠΎΡΡΠ°Π²Π»Π΅Π½ΠΈΡ, ΠΌΠ½ΠΎΠ³ΠΎΡΠ°ΠΊΡΠΎΡΠ½ΠΎΠ³ΠΎ Π°Π½Π°Π»ΠΈΠ·Π°. ΠΠ²ΡΠΎΡΠΎΠΌ ΠΏΡΠΎΠ²Π΅Π΄Π΅Π½Π° ΠΌΠ΅ΠΆΡΠ΅Π³ΠΈΠΎΠ½Π°Π»ΡΠ½Π°Ρ ΠΎΡΠ΅Π½ΠΊΠ° ΠΌΠΎΠ΄Π΅Π»Π΅ΠΉ Π°Π΄Π°ΠΏΡΠ°ΡΠΈΠΈ Π½Π°ΡΠ΅Π»Π΅Π½ΠΈΡ ΡΠ΅Π³ΠΈΠΎΠ½ΠΎΠ² ΡΡΡΠ°Π½Ρ ΠΏΠΎ 24 ΠΊΠΎΠ»ΠΈΡΠ΅ΡΡΠ²Π΅Π½Π½ΡΠΌ ΠΈ ΠΊΠ°ΡΠ΅ΡΡΠ²Π΅Π½Π½ΡΠΌ ΠΏΠΎΠΊΠ°Π·Π°ΡΠ΅Π»ΡΠΌ, ΠΊΠΎΡΠΎΡΡΠ΅ ΠΏΠΎΠ·Π²ΠΎΠ»ΡΡΡ ΠΎΠ±ΡΠ΅ΠΊΡΠΈΠ²Π½ΠΎ ΠΈΠ·ΠΌΠ΅ΡΠΈΡΡ ΠΎΠ±ΡΠ΅Π΅ ΡΠΎΡΡΠΎΡΠ½ΠΈΠ΅ ΡΠΊΠΎΠ½ΠΎΠΌΠΈΠΊΠΈ ΡΠ΅ΡΡΠΈΡΠΎΡΠΈΠΉ ΠΈ ΡΡΠΎΠ²Π΅Π½Ρ Π°Π΄Π°ΠΏΡΠΈΠ²Π½ΠΎΡΡΠΈ Π½Π°ΡΠ΅Π»Π΅Π½ΠΈΡ Π·Π° ΠΏΠ΅ΡΠΈΠΎΠ΄ 2005β2019 Π³ΠΎΠ΄Ρ.ΠΠΎ ΡΠ΅Π·ΡΠ»ΡΡΠ°ΡΠ°ΠΌ ΠΎΠ±Π·ΠΎΡΠ° ΡΠ΅ΠΎΡΠ΅ΡΠΈΡΠ΅ΡΠΊΠΈΡ
ΠΏΠΎΠ΄Ρ
ΠΎΠ΄ΠΎΠ² ΡΠ΄Π΅Π»Π°Π½ Π²ΡΠ²ΠΎΠ΄, ΡΡΠΎ ΠΌΠΎΠ΄Π΅Π»ΠΈ Π°Π΄Π°ΠΏΡΠ°ΡΠΈΠΈ Π½Π°ΡΠ΅Π»Π΅Π½ΠΈΡ ΠΌΠΎΠ³ΡΡ Π±ΡΡΡ ΠΎΠΏΠΈΡΠ°Π½Ρ ΠΊΠ°ΠΊ ΠΊΠΎΠΌΠΏΠ»Π΅ΠΊΡΠ½ΡΠΉ ΠΎΠ±ΡΠ΅ΠΊΡ ΠΈΡΡΠ»Π΅Π΄ΠΎΠ²Π°Π½ΠΈΡ. ΠΠ° ΠΎΡΠ½ΠΎΠ²Π΅ ΠΈΠ·ΠΌΠ΅ΡΠ΅Π½ΠΈΡ ΠΎΡΠ½ΠΎΠ²Π½ΡΡ
ΡΠΎΡΠΈΠ°Π»ΡΠ½ΠΎ-ΡΠΊΠΎΠ½ΠΎΠΌΠΈΡΠ΅ΡΠΊΠΎΠΉ ΠΏΠΎΠΊΠ°Π·Π°ΡΠ΅Π»Π΅ΠΉ ΠΏΡΠΎΠ²Π΅Π΄Π΅Π½ ΡΠ°ΡΡΠ΅Ρ ΡΠ΅ΠΉΡΠΈΠ½Π³ΠΎΠ² ΠΌΠ΅ΠΆΡΠ΅Π³ΠΈΠΎΠ½Π°Π»ΡΠ½ΠΎΠΉ ΠΎΡΠ΅Π½ΠΊΠΈ ΠΌΠΎΠ΄Π΅Π»Π΅ΠΉ Π°Π΄Π°ΠΏΡΠ°ΡΠΈΠΈ Π½Π°ΡΠ΅Π»Π΅Π½ΠΈΡ, ΡΡΠ»ΠΎΠ²ΠΈΠΉ ΠΆΠΈΠ·Π½Π΅Π΄Π΅ΡΡΠ΅Π»ΡΠ½ΠΎΡΡΠΈ Π½Π°ΡΠ΅Π»Π΅Π½ΠΈΡ (ΡΡΡΠ΄Π°, Π±ΡΡΠ°, Π΄ΠΎΡΡΠ³Π° ΠΈ Π±Π΅Π·ΠΎΠΏΠ°ΡΠ½ΠΎΡΡΠΈ), ΡΠΎΡΡΠΎΡΠ½ΠΈΡ ΡΠΊΠΎΠ½ΠΎΠΌΠΈΠΊΠΈ ΠΈ ΡΡΠΎΠ²Π½Ρ ΠΆΠΈΠ·Π½ΠΈ Π»ΡΠ΄Π΅ΠΉ. ΠΠ° ΠΏΠΎΡΠ»Π΅Π΄Π½ΠΈΠ΅ 15 Π»Π΅Ρ ΠΏΡΠΎΠΈΠ·ΠΎΡΠ»ΠΈ ΡΡΡΠ΅ΡΡΠ²Π΅Π½Π½ΡΠ΅ ΠΈΠ·ΠΌΠ΅Π½Π΅Π½ΠΈΡ Π²ΠΎ ΠΌΠ½ΠΎΠ³ΠΈΡ
ΡΠ΅Π³ΠΈΠΎΠ½Π°Ρ
ΡΡΡΠ°Π½Ρ Π² ΠΎΡΠ½ΠΎΡΠ΅Π½ΠΈΠΈ ΠΈΡΠΏΠΎΠ»ΡΠ·ΠΎΠ²Π°Π½ΠΈΡ ΠΌΠΎΠ΄Π΅Π»Π΅ΠΉ Π°Π΄Π°ΠΏΡΠ°ΡΠΈΠΈ Π½Π°ΡΠ΅Π»Π΅Π½ΠΈΡ, ΠΊΠΎΡΠΎΡΡΠ΅ ΡΠΏΠΎΡΠΎΠ±ΡΡΠ²ΠΎΠ²Π°Π»ΠΈ ΡΠΎΡΡΡ ΡΠΊΠΎΡΠΎΡΡΠΈ ΠΏΡΠΈΡΠΏΠΎΡΠΎΠ±Π»Π΅Π½ΠΈΡ Π»ΡΠ΄Π΅ΠΉ ΠΊ Π»ΡΠ±ΡΠΌ ΡΠΈΡΡΠ°ΡΠΈΡΠΌ. Π’Π°ΠΊ, ΡΠ΅Π½ΡΡΠ°Π»ΡΠ½ΠΎΠΌ ΠΈ ΡΠ΅Π²Π΅ΡΠΎ-Π·Π°ΠΏΠ°Π΄Π½ΠΎΠΌ ΡΠ΅Π΄Π΅ΡΠ°Π»ΡΠ½ΠΎΠΌ ΠΎΠΊΡΡΠ³Π°ΠΌ Π²ΡΡΠ²Π»Π΅Π½Π° ΡΠ²Π΅ΡΡ
ΠΌΠ΅ΡΠ½Π°Ρ ΠΊΠΎΠ½ΡΠ΅Π½ΡΡΠ°ΡΠΈΡ ΡΠΈΠ½Π°Π½ΡΠΎΠ²ΡΡ
, ΡΡΡΠ΄ΠΎΠ²ΡΡ
, Π°Π΄ΠΌΠΈΠ½ΠΈΡΡΡΠ°ΡΠΈΠ²Π½ΡΡ
ΠΈ ΠΌΠ°ΡΠ΅ΡΠΈΠ°Π»ΡΠ½ΡΡ
ΡΠ΅ΡΡΡΡΠΎΠ². Π ΡΠ΅Π³ΠΈΠΎΠ½Π°Ρ
ΠΏΡΠΈΠ²ΠΎΠ»ΠΆΡΠΊΠΎΠ³ΠΎ, ΡΡΠ°Π»ΡΡΠΊΠΎΠ³ΠΎ ΠΈ ΡΠΈΠ±ΠΈΡΡΠΊΠΎΠ³ΠΎ ΡΠ΅Π΄Π΅ΡΠ°Π»ΡΠ½ΡΡ
ΠΎΠΊΡΡΠ³Π°Ρ
ΡΠΊΠΎΠ½ΡΠ΅Π½ΡΡΠΈΡΠΎΠ²Π°Π½Ρ ΠΏΡΠΈΡΠΎΠ΄Π½ΡΠ΅, ΠΏΡΠΎΠΈΠ·Π²ΠΎΠ΄ΡΡΠ²Π΅Π½Π½ΡΠ΅, ΡΠ΅Ρ
Π½ΠΎΠ»ΠΎΠ³ΠΈΡΠ΅ΡΠΊΠΈΠ΅ ΠΈ ΡΠΊΠΎΠ½ΠΎΠΌΠΈΡΠ΅ΡΠΊΠΈΡ
ΡΠ΅ΡΡΡΡΡ. Π Π΅Π³ΠΈΠΎΠ½Ρ ΡΠΆΠ½ΠΎΠ³ΠΎ ΠΈ ΡΠ΅Π²Π΅ΡΠΎΠΊΠ°Π²ΠΊΠ°Π·ΡΠΊΠΎΠ³ΠΎ ΡΠ΅Π΄Π΅ΡΠ°Π»ΡΠ½ΡΡ
ΠΎΠΊΡΡΠ³ΠΎΠ² ΡΠΏΠ΅ΡΠΈΠ°Π»ΠΈΠ·ΠΈΡΡΡΡΡΡ Π½Π° ΡΠ°Π·Π²ΠΈΡΠΈΠΈ ΡΠ΅ΠΊΡΠ΅Π°ΡΠΈΠΎΠ½Π½ΡΡ
, Π°Π³ΡΠΎΠΏΡΠΎΠ΄ΠΎΠ²ΠΎΠ»ΡΡΡΠ²Π΅Π½Π½ΡΡ
, Π΄ΠΎΡΠΎΠΆΠ½ΡΡ
ΠΈ ΠΆΠΈΠ»ΠΈΡΠ½ΠΎ-ΠΊΠΎΠΌΠΌΡΠ½Π°Π»ΡΠ½ΡΡ
ΡΠ΅ΡΡΡΡΠΎΠ². Π Π΅Π³ΠΈΠΎΠ½Ρ Π΄Π°Π»ΡΠ½Π΅Π²ΠΎΡΡΠΎΡΠ½ΠΎΠ³ΠΎ ΡΠ΅Π΄Π΅ΡΠ°Π»ΡΠ½ΠΎΠ³ΠΎ ΠΎΠΊΡΡΠ³Π° ΠΈΠΌΠ΅ΡΡ Π½Π°ΠΈΠ±ΠΎΠ»ΡΡΡΡ ΠΏΠ»ΠΎΡΠ°Π΄Ρ ΡΠ΅ΡΡΠΈΡΠΎΡΠΈΠΈ, ΠΈΠ½Π²Π΅ΡΡΠΈΡΠΈΠΎΠ½Π½ΡΡ Π°ΠΊΡΠΈΠ²Π½ΠΎΡΡΡ, Π²ΡΡΠΎΠΊΠΈΠ΅ ΡΡΠ΅Π΄Π½Π΅Π΄ΡΡΠ΅Π²ΡΠ΅ Π΄Π΅Π½Π΅ΠΆΠ½ΡΠ΅ Π΄ΠΎΡ
ΠΎΠ΄Ρ Π½Π°ΡΠ΅Π»Π΅Π½ΠΈΡ ΠΈ Π·Π°ΡΠ°Π±ΠΎΡΠ½Π°Ρ ΠΏΠ»Π°ΡΠ° ΡΠ°Π±ΠΎΡΠ½ΠΈΠΊΠΎΠ² ΠΎΡΠ³Π°Π½ΠΈΠ·Π°ΡΠΈΠΉ. ΠΠ΄Π½Π°ΠΊΠΎ Π½Π° ΡΠ΅ΡΡΠΈΡΠΎΡΠΈΡΡ
ΡΡ
ΡΠ΄ΡΠ°ΡΡΡΡ ΡΡΠ»ΠΎΠ²ΠΈΡ ΠΆΠΈΠ·Π½Π΅Π΄Π΅ΡΡΠ΅Π»ΡΠ½ΠΎΡΡΠΈ Π½Π°ΡΠ΅Π»Π΅Π½ΠΈΡ, ΠΏΡΠΎΠΈΡΡ
ΠΎΠ΄ΠΈΡ Π·Π½Π°ΡΠΈΡΠ΅Π»ΡΠ½ΡΠΉ ΠΌΠΈΠ³ΡΠ°ΡΠΈΠΎΠ½Π½ΡΠΉ ΠΎΡΡΠΎΠΊ, Π·Π°ΡΠΎΡΠΌΠΎΠΆΠ΅Π½Π° Π°Π΄Π°ΠΏΡΠ°ΡΠΈΡ Π½Π°ΡΠ΅Π»Π΅Π½ΠΈΡ.ΠΠ°ΠΊΠ»ΡΡΠ΅Π½ΠΈΠ΅: ΠΈΡΠΏΠΎΠ»ΡΠ·ΠΎΠ²Π°Π½ΠΈΠ΅ ΡΡΠ°ΡΠΈΡΡΠΈΡΠ΅ΡΠΊΠΎΠ³ΠΎ ΠΏΠΎΠ΄Ρ
ΠΎΠ΄Π° Π΄Π»Ρ ΠΌΠ΅ΠΆΡΠ΅Π³ΠΈΠΎΠ½Π°Π»ΡΠ½ΠΎΠΉ ΠΎΡΠ΅Π½ΠΊΠΈ ΠΌΠΎΠ΄Π΅Π»Π΅ΠΉ Π°Π΄Π°ΠΏΡΠ°ΡΠΈΠΈ Π½Π°ΡΠ΅Π»Π΅Π½ΠΈΡ ΠΏΠΎΠ·Π²ΠΎΠ»ΠΈΠ»ΠΎ ΠΏΠΎΠ²ΡΡΠΈΡΡ ΠΊΠ°ΡΠ΅ΡΡΠ²ΠΎ ΠΈΠ½ΡΠΎΡΠΌΠ°ΡΠΈΠΎΠ½Π½ΠΎΠΉ Π±Π°Π·Ρ, ΠΎΠΏΡΠ΅Π΄Π΅Π»ΠΈΡΡ ΡΠ΅Π°Π»ΡΠ½ΠΎΠ΅ ΡΠΎΡΡΠΎΡΠ½ΠΈΠ΅ ΠΈ Π²ΠΊΠ»Π°Π΄ ΠΊΠ°ΠΆΠ΄ΠΎΠ³ΠΎ ΡΠ΅Π³ΠΈΠΎΠ½Π° Π² ΡΠΊΠΎΠ½ΠΎΠΌΠΈΠΊΡ ΡΡΡΠ°Π½Ρ, ΠΈΠ·ΠΌΠ΅ΡΠΈΡΡ ΡΡΠΎΠ²Π΅Π½Ρ Π°Π΄Π°ΠΏΡΠΈΠ²Π½ΠΎΡΡΠΈ ΡΠ΅Π³ΠΈΠΎΠ½ΠΎΠ², ΡΡΠΎ ΠΈΠΌΠ΅Π΅Ρ Π²Π°ΠΆΠ½Π΅ΠΉΡΠ΅Π΅ Π·Π½Π°ΡΠ΅Π½ΠΈΠ΅ ΠΏΡΠΈ ΡΠΎΡΡΠ°Π²Π»Π΅Π½ΠΈΠΈ ΡΡΡΠ°ΡΠ΅Π³ΠΈΡΠ΅ΡΠΊΠΈΡ
Π½Π°ΠΏΡΠ°Π²Π»Π΅Π½ΠΈΠΉ ΡΠ΅Π³ΠΈΠΎΠ½Π°Π»ΡΠ½ΠΎΠ³ΠΎ ΡΠΎΡΠΈΠ°Π»ΡΠ½ΠΎ-ΡΠΊΠΎΠ½ΠΎΠΌΠΈΡΠ΅ΡΠΊΠΎΠ³ΠΎ ΡΠ°Π·Π²ΠΈΡΠΈΡ, ΡΠ°Π·ΡΠ°Π±ΠΎΡΠΊΠΈ ΡΠ΅ΠΊΠΎΠΌΠ΅Π½Π΄Π°ΡΠΈΠΉ ΠΏΠΎ ΡΠΎΠ²Π΅ΡΡΠ΅Π½ΡΡΠ²ΠΎΠ²Π°Π½ΠΈΡ ΡΠ΅Π³ΠΈΠΎΠ½Π°Π»ΡΠ½ΠΎΠΉ ΠΏΠΎΠ»ΠΈΡΠΈΠΊΠΈ Π² ΡΡΠ»ΠΎΠ²ΠΈΡΡ
Π΄ΠΈΠ½Π°ΠΌΠΈΡΠ½ΠΎΠ³ΠΎ ΡΠ°Π·Π²ΠΈΡΠΈΡ ΡΠ΅ΡΡΠΈΡΠΎΡΠΈΠΉ
Π‘ΡΠ°ΡΠΈΡΡΠΈΡΠ΅ΡΠΊΠΈΠΉ ΡΡΠ΅Ρ ΠΊΠ°ΠΊ ΡΠΈΡΡΠΎΠ²ΠΎΠΉ ΠΈΠ·ΠΌΠ΅ΡΠΈΡΠ΅Π»Ρ ΡΠ°Π·Π²ΠΈΡΠΈΡ Π°Π΄Π°ΠΏΡΠ°ΡΠΈΠΎΠ½Π½ΠΎΠ³ΠΎ ΠΏΠΎΡΠ΅Π½ΡΠΈΠ°Π»Π° ΡΠ΅Π³ΠΈΠΎΠ½Π° Π² ΡΡΠ»ΠΎΠ²ΠΈΡΡ ΡΠ°Π½ΠΊΡΠΈΠΉ
The purpose of the study is to substantiate the tools for digital measurement of the development of the adaptive potential of the region's population under sanctions using economic and statistical analysis methods. The study uses statistical characteristics that are suitable for creating a model of interaction between internal and external adaptation systems of the region's population. It is assumed that the adaptive potential of a person is determined by the amount of stress they experience over a certain period of time. To characterize the relative values of stress, the theory of population needs is used, in particular: natural-physiological, demographic, social, economic and organizational. The region's adaptive potential includes demographic, labor, social, economic, industrial, organizational, and other types. The materials and methods of the research are the application of official data of the Federal State Statistics Service using economic and statistical analysis methods, structural and dynamic analysis of indicators, as well as methods of theoretical research in the form of generalization, comparison, aggregation and special analytical procedures.According to the results of the review of theoretical approaches, it is concluded that the adaptive potential can be described as a complex object of research. Based on physiological, socio-demographic, activity, economic and other approaches, the author developed and proposed a model for digital measurement of the development of the region's adaptive potential under sanctions. The concept of adaptive potential is clarified as the ability (potency) of population organisms,Β resources of enterprises and territories, their specific capabilities to produce benefits and change (to adapt) to any situation. A model of interaction between internal and external systems of population adaptation, a method for calculating the aggregate index of development of the region's adaptation potential, and a matrix for estimating the growth rate (weights) of its elements are developed. Analysis of the measurement of the aggregated indices confirmed the assumption about the impact of foreign sanctions on the degree of adaptation of the population of the country's regions. For example, in 2015, the index of adaptive capacity decreased to negative values in all regions of the Ural Federal District and some in the Central Federal District and in subsequent years there was a gradual adaptation of regions to sanctions. The results obtained expand the understanding of the impact of sanctions on the adaptation of the population of regions; they can be used to diagnose socio-economic processes; develop practical recommendations for improving regional policies and strategies for sustainable development in the face of sanctions and other challenges of the time. The considered approach is linked to the tasks set for the Russian system of state statistics in the framework of the program "Digital economy of the Russian Federation".Π¦Π΅Π»Ρ ΠΈΡΡΠ»Π΅Π΄ΠΎΠ²Π°Π½ΠΈΡ ΡΠΎΡΡΠΎΠΈΡ Π² ΠΎΠ±ΠΎΡΠ½ΠΎΠ²Π°Π½ΠΈΠΈ ΠΈΠ½ΡΡΡΡΠΌΠ΅Π½ΡΠ°ΡΠΈΡ ΡΠΈΡΡΠΎΠ²ΠΎΠ³ΠΎ ΠΈΠ·ΠΌΠ΅ΡΠ΅Π½ΠΈΡ ΡΠ°Π·Π²ΠΈΡΠΈΡ Π°Π΄Π°ΠΏΡΠ°ΡΠΈΠΎΠ½Π½ΠΎΠ³ΠΎ ΠΏΠΎΡΠ΅Π½ΡΠΈΠ°Π»Π° Π½Π°ΡΠ΅Π»Π΅Π½ΠΈΡ ΡΠ΅Π³ΠΈΠΎΠ½Π° Π² ΡΡΠ»ΠΎΠ²ΠΈΡΡ
ΡΠ°Π½ΠΊΡΠΈΠΉ Ρ ΠΏΡΠΈΠΌΠ΅Π½Π΅Π½ΠΈΠ΅ΠΌ ΡΠΊΠΎΠ½ΠΎΠΌΠΈΠΊΠΎ-ΡΡΠ°ΡΠΈΡΡΠΈΡΠ΅ΡΠΊΠΈΡ
ΠΌΠ΅ΡΠΎΠ΄ΠΎΠ² Π°Π½Π°Π»ΠΈΠ·Π°. Π ΠΈΡΡΠ»Π΅Π΄ΠΎΠ²Π°Π½ΠΈΠΈ ΠΏΡΠΈΠΌΠ΅Π½Π΅Π½Ρ ΡΡΠ°ΡΠΈΡΡΠΈΡΠ΅ΡΠΊΠΈΠ΅ Ρ
Π°ΡΠ°ΠΊΡΠ΅ΡΠΈΡΡΠΈΠΊΠΈ, ΠΏΡΠΈΠ³ΠΎΠ΄Π½ΡΠ΅ Π΄Π»Ρ ΡΠΎΠ·Π΄Π°Π½ΠΈΡ ΠΌΠΎΠ΄Π΅Π»ΠΈ Π²Π·Π°ΠΈΠΌΠΎΠ΄Π΅ΠΉΡΡΠ²ΠΈΡ Π²Π½ΡΡΡΠ΅Π½Π½ΠΈΡ
ΠΈ Π²Π½Π΅ΡΠ½ΠΈΡ
ΡΠΈΡΡΠ΅ΠΌ Π°Π΄Π°ΠΏΡΠ°ΡΠΈΠΈ Π½Π°ΡΠ΅Π»Π΅Π½ΠΈΡ ΡΠ΅Π³ΠΈΠΎΠ½Π°. ΠΡΠ΅Π΄ΠΏΠΎΠ»Π°Π³Π°Π΅ΡΡΡ, ΡΡΠΎ Π°Π΄Π°ΠΏΡΠ°ΡΠΈΠΎΠ½Π½ΡΠΉ ΠΏΠΎΡΠ΅Π½ΡΠΈΠ°Π» ΡΠ΅Π»ΠΎΠ²Π΅ΠΊΠ° ΠΎΠΏΡΠ΅Π΄Π΅Π»ΡΠ΅ΡΡΡ Π²Π΅Π»ΠΈΡΠΈΠ½ΠΎΠΉ ΠΈΡΠΏΡΡΡΠ²Π°Π΅ΠΌΡΡ
ΠΈΠΌ ΡΡΡΠ΅ΡΡΠΎΠ² Π½Π° ΠΏΡΠΎΡΡΠΆΠ΅Π½ΠΈΠΈ ΠΎΠΏΡΠ΅Π΄Π΅Π»Π΅Π½Π½ΠΎΠ³ΠΎ ΠΏΠ΅ΡΠΈΠΎΠ΄Π° Π²ΡΠ΅ΠΌΠ΅Π½ΠΈ. ΠΠ»Ρ Ρ
Π°ΡΠ°ΠΊΡΠ΅ΡΠΈΡΡΠΈΠΊΠΈ ΠΎΡΠ½ΠΎΡΠΈΡΠ΅Π»ΡΠ½ΡΡ
Π²Π΅Π»ΠΈΡΠΈΠ½ ΡΡΡΠ΅ΡΡΠΎΠ² ΠΈΡΠΏΠΎΠ»ΡΠ·ΠΎΠ²Π°Π½Π° ΡΠ΅ΠΎΡΠΈΡ ΠΏΠΎΡΡΠ΅Π±Π½ΠΎΡΡΠ΅ΠΉ Π½Π°ΡΠ΅Π»Π΅Π½ΠΈΡ, Π² ΡΠ°ΡΡΠ½ΠΎΡΡΠΈ: Π΅ΡΡΠ΅ΡΡΠ²Π΅Π½Π½ΠΎ-ΡΠΈΠ·ΠΈΠΎΠ»ΠΎΠ³ΠΈΡΠ΅ΡΠΊΠΈΠ΅, Π΄Π΅ΠΌΠΎΠ³ΡΠ°ΡΠΈΡΠ΅ΡΠΊΠΈΠ΅, ΡΠΎΡΠΈΠ°Π»ΡΠ½ΡΠ΅, ΡΠΊΠΎΠ½ΠΎΠΌΠΈΡΠ΅ΡΠΊΠΈΠ΅ ΠΈ ΠΎΡΠ³Π°Π½ΠΈΠ·Π°ΡΠΈΠΎΠ½Π½ΡΠ΅. ΠΠ΄Π°ΠΏΡΠ°ΡΠΈΠΎΠ½Π½ΡΠΉ ΠΏΠΎΡΠ΅Π½ΡΠΈΠ°Π» ΡΠ΅Π³ΠΈΠΎΠ½Π° Π²ΠΊΠ»ΡΡΠ°Π΅Ρ Π² ΡΠ΅Π±Ρ Π΄Π΅ΠΌΠΎΠ³ΡΠ°ΡΠΈΡΠ΅ΡΠΊΠΈΠΉ, ΡΡΡΠ΄ΠΎΠ²ΠΎΠΉ, ΡΠΎΡΠΈΠ°Π»ΡΠ½ΡΠΉ, ΡΠΊΠΎΠ½ΠΎΠΌΠΈΡΠ΅ΡΠΊΠΈΠΉ, ΠΏΡΠΎΠΈΠ·Π²ΠΎΠ΄ΡΡΠ²Π΅Π½Π½ΡΠΉ, ΠΎΡΠ³Π°Π½ΠΈΠ·Π°ΡΠΈΠΎΠ½Π½ΡΠΉ ΠΈ Π΄ΡΡΠ³ΠΈΠ΅ Π²ΠΈΠ΄Ρ.ΠΠ°ΡΠ΅ΡΠΈΠ°Π»Π°ΠΌΠΈ ΠΈ ΠΌΠ΅ΡΠΎΠ΄Π°ΠΌΠΈ ΠΈΡΡΠ»Π΅Π΄ΠΎΠ²Π°Π½ΠΈΡ ΡΠ²Π»ΡΠ΅ΡΡΡ ΠΏΡΠΈΠΌΠ΅Π½Π΅Π½ΠΈΠ΅ ΠΎΡΠΈΡΠΈΠ°Π»ΡΠ½ΡΡ
Π΄Π°Π½Π½ΡΡ
ΡΠ΅Π΄Π΅ΡΠ°Π»ΡΠ½ΠΎΠΉ ΡΠ»ΡΠΆΠ±Ρ Π³ΠΎΡΡΠ΄Π°ΡΡΡΠ²Π΅Π½Π½ΠΎΠΉ ΡΡΠ°ΡΠΈΡΡΠΈΠΊΠΈ Ρ ΠΈΡΠΏΠΎΠ»ΡΠ·ΠΎΠ²Π°Π½ΠΈΠ΅ΠΌ ΡΠΊΠΎΠ½ΠΎΠΌΠΈΠΊΠΎ-ΡΡΠ°ΡΠΈΡΡΠΈΡΠ΅ΡΠΊΠΈΡ
ΠΌΠ΅ΡΠΎΠ΄ΠΎΠ² Π°Π½Π°Π»ΠΈΠ·Π°, ΠΏΡΠΈΠΌΠ΅Π½Π΅Π½Ρ ΡΡΡΡΠΊΡΡΡΠ½ΡΠΉ ΠΈ Π΄ΠΈΠ½Π°ΠΌΠΈΡΠ΅ΡΠΊΠΈΠΉ Π°Π½Π°Π»ΠΈΠ· ΠΏΠΎΠΊΠ°Π·Π°ΡΠ΅Π»Π΅ΠΉ, Π° ΡΠ°ΠΊΠΆΠ΅ ΠΌΠ΅ΡΠΎΠ΄Ρ ΡΠ΅ΠΎΡΠ΅ΡΠΈΡΠ΅ΡΠΊΠΎΠ³ΠΎ ΠΈΡΡΠ»Π΅Π΄ΠΎΠ²Π°Π½ΠΈΡ Π² ΡΠΎΡΠΌΠ΅ ΠΎΠ±ΠΎΠ±ΡΠ΅Π½ΠΈΡ, ΡΡΠ°Π²Π½Π΅Π½ΠΈΡ, Π°Π³ΡΠ΅Π³ΠΈΡΠΎΠ²Π°Π½ΠΈΡ ΠΈ ΡΠΏΠ΅ΡΠΈΠ°Π»ΡΠ½ΡΡ
Π°Π½Π°Π»ΠΈΡΠΈΡΠ΅ΡΠΊΠΈΡ
ΠΏΡΠΎΡΠ΅Π΄ΡΡ.ΠΠΎ ΡΠ΅Π·ΡΠ»ΡΡΠ°ΡΠ°ΠΌ ΠΎΠ±Π·ΠΎΡΠ° ΡΠ΅ΠΎΡΠ΅ΡΠΈΡΠ΅ΡΠΊΠΈΡ
ΠΏΠΎΠ΄Ρ
ΠΎΠ΄ΠΎΠ² ΡΠ΄Π΅Π»Π°Π½ Π²ΡΠ²ΠΎΠ΄, ΡΡΠΎ Π°Π΄Π°ΠΏΡΠ°ΡΠΈΠΎΠ½Π½ΡΠΉ ΠΏΠΎΡΠ΅Π½ΡΠΈΠ°Π» ΠΌΠΎΠΆΠ΅Ρ Π±ΡΡΡ ΠΎΠΏΠΈΡΠ°Π½ ΠΊΠ°ΠΊ ΠΊΠΎΠΌΠΏΠ»Π΅ΠΊΡΠ½ΡΠΉ ΠΎΠ±ΡΠ΅ΠΊΡ ΠΈΡΡΠ»Π΅Π΄ΠΎΠ²Π°Π½ΠΈΡ. ΠΠ° ΠΎΡΠ½ΠΎΠ²Π΅ ΡΠΈΠ·ΠΈΠΎΠ»ΠΎΠ³ΠΈΡΠ΅ΡΠΊΠΎΠ³ΠΎ, ΡΠΎΡΠΈΠ°Π»ΡΠ½ΠΎ-Π΄Π΅ΠΌΠΎΠ³ΡΠ°ΡΠΈΡΠ΅ΡΠΊΠΎΠ³ΠΎ, Π΄Π΅ΡΡΠ΅Π»ΡΠ½ΠΎΠ³ΠΎ, ΡΠΊΠΎΠ½ΠΎΠΌΠΈΡΠ΅ΡΠΊΠΎΠ³ΠΎ ΠΈ ΠΈΠ½ΡΡ
ΠΏΠΎΠ΄Ρ
ΠΎΠ΄ΠΎΠ² ΡΠ°Π·ΡΠ°Π±ΠΎΡΠ°Π½Π° ΠΈ ΠΏΡΠ΅Π΄Π»ΠΎΠΆΠ΅Π½Π° Π°Π²ΡΠΎΡΡΠΊΠ°Ρ ΠΌΠΎΠ΄Π΅Π»Ρ Π΄Π»Ρ ΡΠΈΡΡΠΎΠ²ΠΎΠ³ΠΎ ΠΈΠ·ΠΌΠ΅ΡΠ΅Π½ΠΈΡ ΡΠ°Π·Π²ΠΈΡΠΈΡ Π°Π΄Π°ΠΏΡΠ°ΡΠΈΠΎΠ½Π½ΠΎΠ³ΠΎ ΠΏΠΎΡΠ΅Π½ΡΠΈΠ°Π»Π° ΡΠ΅Π³ΠΈΠΎΠ½Π° Π² ΡΡΠ»ΠΎΠ²ΠΈΡΡ
ΡΠ°Π½ΠΊΡΠΈΠΉ. Π£ΡΠΎΡΠ½Π΅Π½ΠΎ ΠΏΠΎΠ½ΡΡΠΈΠ΅ Π°Π΄Π°ΠΏΡΠ°ΡΠΈΠΎΠ½Π½ΠΎΠ³ΠΎ ΠΏΠΎΡΠ΅Π½ΡΠΈΠ°Π»Π° ΠΊΠ°ΠΊ ΡΠΏΠΎΡΠΎΠ±Π½ΠΎΡΡΡ (ΠΏΠΎΡΠ΅Π½ΡΠΈΡ) ΠΎΡΠ³Π°Π½ΠΈΠ·ΠΌΠΎΠ² Π½Π°ΡΠ΅Π»Π΅Π½ΠΈΡ, ΡΠ΅ΡΡΡΡΠΎΠ² ΠΏΡΠ΅Π΄ΠΏΡΠΈΡΡΠΈΠΉ ΠΈ ΡΠ΅ΡΡΠΈΡΠΎΡΠΈΠΉ, ΠΈΡ
ΠΊΠΎΠ½ΠΊΡΠ΅ΡΠ½ΡΠ΅ Π²ΠΎΠ·ΠΌΠΎΠΆΠ½ΠΎΡΡΠΈ ΠΏΡΠΎΠΈΠ·Π²ΠΎΠ΄ΠΈΡΡ Π±Π»Π°Π³Π° ΠΈ ΠΈΠ·ΠΌΠ΅Π½ΡΡΡΡΡ (ΠΏΡΠΈΡΠΏΠΎΡΠ°Π±Π»ΠΈΠ²Π°ΡΡΡΡ) ΠΊ Π»ΡΠ±ΡΠΌ ΡΠΈΡΡΠ°ΡΠΈΡΠΌ. Π Π°Π·ΡΠ°Π±ΠΎΡΠ°Π½Ρ ΠΌΠΎΠ΄Π΅Π»Ρ Π²Π·Π°ΠΈΠΌΠΎΠ΄Π΅ΠΉΡΡΠ²ΠΈΡ Π²Π½ΡΡΡΠ΅Π½Π½ΠΈΡ
ΠΈ Π²Π½Π΅ΡΠ½ΠΈΡ
ΡΠΈΡΡΠ΅ΠΌ Π°Π΄Π°ΠΏΡΠ°ΡΠΈΠΈ Π½Π°ΡΠ΅Π»Π΅Π½ΠΈΡ, ΠΌΠ΅ΡΠΎΠ΄ΠΈΠΊΠ° ΡΠ°ΡΡΠ΅ΡΠ° Π°Π³ΡΠ΅Π³ΠΈΡΠΎΠ²Π°Π½Π½ΠΎΠ³ΠΎ ΠΈΠ½Π΄Π΅ΠΊΡΠ° ΡΠ°Π·Π²ΠΈΡΠΈΡ Π°Π΄Π°ΠΏΡΠ°ΡΠΈΠΎΠ½Π½ΠΎΠ³ΠΎ ΠΏΠΎΡΠ΅Π½ΡΠΈΠ°Π»Π° ΡΠ΅Π³ΠΈΠΎΠ½Π° ΠΈ ΠΌΠ°ΡΡΠΈΡΠ° ΠΎΡΠ΅Π½ΠΊΠΈ ΡΠ΅ΠΌΠΏΠΎΠ² ΠΏΡΠΈΡΠΎΡΡΠ° (Π²Π΅ΡΠΎΠ²) Π΅Π³ΠΎ ΡΠ»Π΅ΠΌΠ΅Π½ΡΠΎΠ². ΠΠ½Π°Π»ΠΈΠ· ΠΈΠ·ΠΌΠ΅ΡΠ΅Π½ΠΈΡ Π°Π³ΡΠ΅Π³ΠΈΡΠΎΠ²Π°Π½Π½ΡΡ
ΠΈΠ½Π΄Π΅ΠΊΡΠΎΠ² ΠΏΠΎΠ΄ΡΠ²Π΅ΡΠ΄ΠΈΠ» ΠΏΡΠ΅Π΄ΠΏΠΎΠ»ΠΎΠΆΠ΅Π½ΠΈΠ΅ ΠΎ Π²Π»ΠΈΡΠ½ΠΈΠΈ ΠΈΠ½ΠΎΡΡΡΠ°Π½Π½ΡΡ
ΡΠ°Π½ΠΊΡΠΈΠΉ Π½Π° ΡΡΠ΅ΠΏΠ΅Π½Ρ Π°Π΄Π°ΠΏΡΠ°ΡΠΈΠΈ Π½Π°ΡΠ΅Π»Π΅Π½ΠΈΡ ΡΠ΅Π³ΠΈΠΎΠ½ΠΎΠ² ΡΡΡΠ°Π½Ρ. Π’Π°ΠΊ, Π² 2015 Π³ΠΎΠ΄Ρ Π²ΠΎ Π²ΡΠ΅Ρ
ΡΠ΅Π³ΠΈΠΎΠ½Π°Ρ
Π£Π€Π ΠΈ ΠΎΡΠ΄Π΅Π»ΡΠ½ΡΡ
Π² Π¦Π€Π ΠΈΠ½Π΄Π΅ΠΊΡ Π°Π΄Π°ΠΏΡΠ°ΡΠΈΠΎΠ½Π½ΠΎΠ³ΠΎ ΠΏΠΎΡΠ΅Π½ΡΠΈΠ°Π»Π° ΡΠ½ΠΈΠ·ΠΈΠ»ΡΡ Π΄ΠΎ ΠΎΡΡΠΈΡΠ°ΡΠ΅Π»ΡΠ½ΡΡ
Π²Π΅Π»ΠΈΡΠΈΠ½, Π° Π² ΠΏΠΎΡΠ»Π΅Π΄ΡΡΡΠΈΠ΅ Π³ΠΎΠ΄Ρ Π½Π°Π±Π»ΡΠ΄Π°Π»ΠΎΡΡ ΠΏΠΎΡΡΠ΅ΠΏΠ΅Π½Π½ΠΎΠ΅ ΠΏΡΠΈΡΠΏΠΎΡΠΎΠ±Π»Π΅Π½ΠΈΠ΅ ΡΠ΅Π³ΠΈΠΎΠ½ΠΎΠ² ΠΊ ΡΠ°Π½ΠΊΡΠΈΡΠΌ. ΠΠΎΠ»ΡΡΠ΅Π½Π½ΡΠ΅ ΡΠ΅Π·ΡΠ»ΡΡΠ°ΡΡ ΡΠ°ΡΡΠΈΡΡΡΡ ΠΏΡΠ΅Π΄ΡΡΠ°Π²Π»Π΅Π½ΠΈΠ΅ ΠΎ Π²Π»ΠΈΡΠ½ΠΈΠΈ ΡΠ°Π½ΠΊΡΠΈΠΉ Π½Π° Π°Π΄Π°ΠΏΡΠ°ΡΠΈΡ Π½Π°ΡΠ΅Π»Π΅Π½ΠΈΡ ΡΠ΅Π³ΠΈΠΎΠ½ΠΎΠ²; ΠΎΠ½ΠΈ ΠΌΠΎΠ³ΡΡ Π±ΡΡΡ ΠΈΡΠΏΠΎΠ»ΡΠ·ΠΎΠ²Π°Π½Ρ Π΄Π»Ρ Π΄ΠΈΠ°Π³Π½ΠΎΡΡΠΈΠΊΠΈ ΡΠΎΡΠΈΠ°Π»ΡΠ½ΠΎ-ΡΠΊΠΎΠ½ΠΎΠΌΠΈΡΠ΅ΡΠΊΠΈΡ
ΠΏΡΠΎΡΠ΅ΡΡΠΎΠ²; ΡΠ°Π·ΡΠ°Π±ΠΎΡΠΊΠΈ ΠΏΡΠ°ΠΊΡΠΈΡΠ΅ΡΠΊΠΈΡ
ΡΠ΅ΠΊΠΎΠΌΠ΅Π½Π΄Π°ΡΠΈΠΉ ΠΏΠΎ ΡΠΎΠ²Π΅ΡΡΠ΅Π½ΡΡΠ²ΠΎΠ²Π°Π½ΠΈΡ ΡΠ΅Π³ΠΈΠΎΠ½Π°Π»ΡΠ½ΠΎΠΉ ΠΏΠΎΠ»ΠΈΡΠΈΠΊΠΈ ΠΈ ΡΡΡΠ°ΡΠ΅Π³ΠΈΠΉ ΡΡΡΠΎΠΉΡΠΈΠ²ΠΎΠ³ΠΎ ΡΠ°Π·Π²ΠΈΡΠΈΡ Π² ΡΡΠ»ΠΎΠ²ΠΈΡΡ
ΡΠ°Π½ΠΊΡΠΈΠΉ ΠΈ Π΄ΡΡΠ³ΠΈΡ
Π²ΡΠ·ΠΎΠ²ΠΎΠ² Π²ΡΠ΅ΠΌΠ΅Π½ΠΈ. Π Π°ΡΡΠΌΠΎΡΡΠ΅Π½Π½ΡΠΉ ΠΏΠΎΠ΄Ρ
ΠΎΠ΄ ΡΠ²ΡΠ·ΡΠ²Π°ΡΡΡΡ Ρ Π·Π°Π΄Π°ΡΠ°ΠΌΠΈ, ΠΏΠΎΡΡΠ°Π²Π»Π΅Π½Π½ΡΠΌΠΈ ΠΏΠ΅ΡΠ΅Π΄ ΡΠΎΡΡΠΈΠΉΡΠΊΠΎΠΉ ΡΠΈΡΡΠ΅ΠΌΠΎΠΉ Π³ΠΎΡΡΠ΄Π°ΡΡΡΠ²Π΅Π½Π½ΠΎΠΉ ΡΡΠ°ΡΠΈΡΡΠΈΠΊΠΈ Π² ΡΠ°ΠΌΠΊΠ°Ρ
ΠΡΠΎΠ³ΡΠ°ΠΌΠΌΡ Β«Π¦ΠΈΡΡΠΎΠ²Π°Ρ ΡΠΊΠΎΠ½ΠΎΠΌΠΈΠΊΠ° Π ΠΎΡΡΠΈΠΉΡΠΊΠΎΠΉ Π€Π΅Π΄Π΅ΡΠ°ΡΠΈΠΈΒ»
On necessary and sufficient conditions for output finite-time stability
International audienceOutput global finite-time stability of locally Lipschitz continuous autonomous systems is characterized by means of smooth Lyapunov functions. The so-called output-Lagrange stable systems are studied with details. Influence of a kind of continuity of the settling-time function is considered. Necessary and sufficient conditions of output finite-time stability are presented. The theoretical results are supported by academic examples and numerical simulations
On finite-time stability analysis of homogeneous Persidskii systems using LMIs
International audienceThe paper provides a sufficient condition to ensure robust finite-time stability of homogeneous generalized Persidskii systems. The proposed condition is formulated using linear matrix inequalities and it allows to obtain settling time estimates. The results are supported with numerical examples
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