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    Π—ΠΠ’Π˜Π‘Π˜ΠœΠžΠ‘Π’Π¬ ΠΠ•Π€ΠžΠ ΠœΠΠ›Π¬ΠΠžΠ™ Π—ΠΠΠ―Π’ΠžΠ‘Π’Π˜ ОВ Π£Π ΠžΠ’ΠΠ― Π”ΠžΠ₯ΠžΠ”ΠžΠ’ ΠΠΠ‘Π•Π›Π•ΠΠ˜Π― Π ΠžΠ‘Π‘Π˜Π™Π‘ΠšΠ˜Π₯ Π Π•Π“Π˜ΠžΠΠžΠ’: УРОКИ ΠŸΠΠΠ”Π•ΠœΠ˜Π˜

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    РаспространСниС Π½ΠΎΠ²ΠΎΠΉ коронавирусной ΠΈΠ½Ρ„Π΅ΠΊΡ†ΠΈΠΈ трансформировало экономику ΠΈ общСствСнный ΡƒΠΊΠ»Π°Π΄, пандСмия нанСсла ΡΠΎΠΊΡ€ΡƒΡˆΠΈΡ‚Π΅Π»ΡŒΠ½Ρ‹ΠΉ ΡƒΠ΄Π°Ρ€ ΠΏΠΎ Ρ€Ρ‹Π½ΠΊΡƒ Ρ‚Ρ€ΡƒΠ΄Π°. На Ρ„ΠΎΠ½Π΅ обострСния ΠΏΡ€ΠΎΠ±Π»Π΅ΠΌ Π±Π΅Π·Ρ€Π°Π±ΠΎΡ‚ΠΈΡ†Ρ‹ Π°ΠΊΡ‚ΡƒΠ°Π»ΠΈΠ·ΠΈΡ€ΠΎΠ²Π°Π»ΠΈΡΡŒ Π·Π°Π΄Π°Ρ‡ΠΈ сокращСния уровня Π½Π΅Ρ„ΠΎΡ€ΠΌΠ°Π»ΡŒΠ½ΠΎΠΉ занятости, ΠΎΠ±ΡƒΡΠ»ΠΎΠ²Π»ΠΈΠ²Π°ΡŽΡ‰Π΅ΠΉ прирост объСмов Ρ‚Π΅Π½Π΅Π²ΠΎΠΉ экономики. Π“ΠΈΠΏΠΎΡ‚Π΅Π·ΠΎΠΉ исслСдования стало ΠΏΡ€Π΅Π΄ΠΏΠΎΠ»ΠΎΠΆΠ΅Π½ΠΈΠ΅, Ρ‡Ρ‚ΠΎ ΠΏΠ°Π΄Π΅Π½ΠΈΠ΅ ΠΎΡ„ΠΈΡ†ΠΈΠ°Π»ΡŒΠ½Ρ‹Ρ… Π΄ΠΎΡ…ΠΎΠ΄ΠΎΠ² насСлСния Π² ΠΏΠ΅Ρ€ΠΈΠΎΠ΄ ΠΏΠ°Π½Π΄Π΅ΠΌΠΈΠΈ ΡΠΎΠΏΡ€ΠΎΠ²ΠΎΠΆΠ΄Π°Π»ΠΎΡΡŒ ростом Π½Π΅Ρ„ΠΎΡ€ΠΌΠ°Π»ΡŒΠ½ΠΎΠΉ занятости, Π΄ΠΈΡ„Ρ„Π΅Ρ€Π΅Π½Ρ†ΠΈΡ€ΠΎΠ²Π°Π½Π½Ρ‹ΠΌ ΠΏΠΎ Ρ€Π΅Π³ΠΈΠΎΠ½Π°ΠΌ России. ЦСлью Π½Π°ΡƒΡ‡Π½ΠΎΠ³ΠΎ поиска явилось тСорСтичСскоС обоснованиС ΠΈ эмпиричСскоС ΠΏΠΎΠ΄Ρ‚Π²Π΅Ρ€ΠΆΠ΄Π΅Π½ΠΈΠ΅ взаимосвязи послСдствий ΠΏΠ°Π½Π΄Π΅ΠΌΠΈΠΈ, сниТСния уровня Π΄ΠΎΡ…ΠΎΠ΄ΠΎΠ² насСлСния ΠΈ Π½Π΅Ρ„ΠΎΡ€ΠΌΠ°Π»ΡŒΠ½ΠΎΠΉ занятости Π² Ρ€Π΅Π³ΠΈΠΎΠ½Π°Π»ΡŒΠ½ΠΎΠΌ Ρ€Π°Π·Ρ€Π΅Π·Π΅ ΠΈ Ρ„ΠΎΡ€ΠΌΡƒΠ»ΠΈΡ€ΠΎΠ²Π°Π½ΠΈΠ΅ Π½Π°ΠΏΡ€Π°Π²Π»Π΅Π½ΠΈΠΉ нивСлирования ΠΈΡ… Π½Π΅Π³Π°Ρ‚ΠΈΠ²Π½ΠΎΠ³ΠΎ влияния Π½Π° Ρ€Ρ‹Π½ΠΎΠΊ Ρ‚Ρ€ΡƒΠ΄Π°. Π’ основу ΠΌΠ΅Ρ‚ΠΎΠ΄ΠΎΠ»ΠΎΠ³ΠΈΠΈ исслСдования ΠΏΠΎΠ»ΠΎΠΆΠ΅Π½ ΠΏΠΎΠ΄Ρ…ΠΎΠ΄ Росстата ΠΊ ΠΎΠΏΡ€Π΅Π΄Π΅Π»Π΅Π½ΠΈΡŽ ΠΊΡ€ΠΈΡ‚Π΅Ρ€ΠΈΠ΅Π² занятости, поставлСнныС Π·Π°Π΄Π°Ρ‡ΠΈ Ρ€Π΅ΡˆΠ°Π»ΠΈΡΡŒ с использованиСм экспСртно-аналитичСских ΠΌΠ΅Ρ‚ΠΎΠ΄ΠΎΠ², Π°Π½Π°Π»ΠΈΠ·Π° статистичСских рядов, кластСризации ΠΈ ΠΊΠ°Ρ€Ρ‚ΠΎΠ³Ρ€Π°Ρ„ΠΈΠΈ. Π“Ρ€ΡƒΠΏΠΏΠΈΡ€ΠΎΠ²ΠΊΠ° Ρ€Π΅Π³ΠΈΠΎΠ½ΠΎΠ² Π²Ρ‹ΠΏΠΎΠ»Π½Π΅Π½Π° Π½Π° основС иСрархичСского ΠΌΠ΅Ρ‚ΠΎΠ΄Π° Π£ΠΎΡ€Π΄Π°, кластСры построСны ΠΏΠΎ Π²Π·Π²Π΅ΡˆΠ΅Π½Π½Ρ‹ΠΌ стандартизированным Π΄Π°Π½Π½Ρ‹ΠΌ. ЭмпиричСская Π±Π°Π·Π° сформирована ΠΈΠ· ΠΎΡ„ΠΈΡ†ΠΈΠ°Π»ΡŒΠ½ΠΎΠΉ ΠΈΠ½Ρ„ΠΎΡ€ΠΌΠ°Ρ†ΠΈΠΈ Π€Π΅Π΄Π΅Ρ€Π°Π»ΡŒΠ½ΠΎΠΉ слуТбы государствСнной статистики Π Π€, ΠžΡ€Π³Π°Π½ΠΈΠ·Π°Ρ†ΠΈΠΈ ΠžΠ±ΡŠΠ΅Π΄ΠΈΠ½Π΅Π½Π½Ρ‹Ρ… Наций, ВсСмирного Π±Π°Π½ΠΊΠ°. Π Π΅Π·ΡƒΠ»ΡŒΡ‚Π°Ρ‚Ρ‹ исслСдования ΠΌΠ°ΡΡˆΡ‚Π°Π±ΠΎΠ² Π½Π΅Ρ„ΠΎΡ€ΠΌΠ°Π»ΡŒΠ½ΠΎΠΉ занятости Π² Ρ€Π΅Π³ΠΈΠΎΠ½Π°Ρ… России Π² условиях ΠΏΠ°Π½Π΄Π΅ΠΌΠΈΠΈ, Π²ΠΎΠΏΡ€Π΅ΠΊΠΈ гипотСтичСским оТиданиям, ΠΏΠΎΠΊΠ°Π·Π°Π»ΠΈ, Ρ‡Ρ‚ΠΎ Π² ΠΏΠ΅Ρ€ΠΈΠΎΠ΄ кризиса Π½Π΅Ρ„ΠΎΡ€ΠΌΠ°Π»ΡŒΠ½Π°Ρ Π·Π°Π½ΡΡ‚ΠΎΡΡ‚ΡŒ насСлСния Π² Π±ΠΎΠ»ΡŒΡˆΠΈΠ½ΡΡ‚Π²Π΅ ΡΡƒΠ±ΡŠΠ΅ΠΊΡ‚ΠΎΠ² Π€Π΅Π΄Π΅Ρ€Π°Ρ†ΠΈΠΈ ΡΠΎΠΊΡ€Π°Ρ‚ΠΈΠ»Π°ΡΡŒ, ΠΏΡ€ΠΈ этом набольшСС Π΅Π΅ сниТСниС ΠΎΡ‚ΠΌΠ΅Ρ‡Π΅Π½ΠΎ Π² рСспубликах Π‘Π΅Π²Π΅Ρ€Π½ΠΎΠ³ΠΎ Кавказа. ΠšΠ»Π°ΡΡ‚Π΅Ρ€ΠΈΠ·Π°Ρ†ΠΈΡ Ρ‚Π΅Ρ€Ρ€ΠΈΡ‚ΠΎΡ€ΠΈΠΉ ΠΏΠΎΠ·Π²ΠΎΠ»ΠΈΠ»Π° Π²Ρ‹ΡΠ²ΠΈΡ‚ΡŒ Π³Ρ€ΡƒΠΏΠΏΡ‹ российских Ρ€Π΅Π³ΠΈΠΎΠ½ΠΎΠ² ΠΏΠΎ стСпСни зависимости Π½Π΅Ρ„ΠΎΡ€ΠΌΠ°Π»ΡŒΠ½ΠΎΠΉ занятости ΠΎΡ‚ Π΄ΠΎΡ…ΠΎΠ΄ΠΎΠ² насСлСния ΠΈ Π²Π°Π»ΠΎΠ²ΠΎΠ³ΠΎ Ρ€Π΅Π³ΠΈΠΎΠ½Π°Π»ΡŒΠ½ΠΎΠ³ΠΎ ΠΏΡ€ΠΎΠ΄ΡƒΠΊΡ‚Π° Π½Π° Π΄ΡƒΡˆΡƒ насСлСния. ΠŸΡ€Π°ΠΊΡ‚ΠΈΡ‡Π΅ΡΠΊΠΎΠ΅ Π·Π½Π°Ρ‡Π΅Π½ΠΈΠ΅ Ρ€Π΅Π·ΡƒΠ»ΡŒΡ‚Π°Ρ‚ΠΎΠ² обусловлСно Π²ΠΎΠ·ΠΌΠΎΠΆΠ½ΠΎΡΡ‚ΡŒΡŽ ΠΈΡ… использования для Π²Ρ‹Ρ€Π°Π±ΠΎΡ‚ΠΊΠΈ Ρ‚ΠΈΠΏΠΎΠ²Ρ‹Ρ… Ρ€Π΅ΡˆΠ΅Π½ΠΈΠΉ Π² части формирования комплСкса ΠΌΠ΅Ρ€ долгосрочной ΠΈ краткосрочной ΠΏΠΎΠ΄Π΄Π΅Ρ€ΠΆΠΊΠΈ Ρ€Π°Π±ΠΎΡ‚Π½ΠΈΠΊΠΎΠ² Π½Π° ΡƒΡ€ΠΎΠ²Π½Π΅ государства, ΡΡƒΠ±ΡŠΠ΅ΠΊΡ‚ΠΎΠ² Π€Π΅Π΄Π΅Ρ€Π°Ρ†ΠΈΠΈ ΠΈ Π½Π° ΠΌΠΈΠΊΡ€ΠΎΡƒΡ€ΠΎΠ²Π½Π΅ Π² Π½Π°ΠΏΡ€Π°Π²Π»Π΅Π½ΠΈΠΈ сниТСния Π½Π΅Π³Π°Ρ‚ΠΈΠ²Π½ΠΎΠ³ΠΎ влияния выявлСнных ΠΏΡ€ΠΈΡ‡ΠΈΠ½ Π½Π° рост Π½Π΅Ρ„ΠΎΡ€ΠΌΠ°Π»ΡŒΠ½ΠΎΠΉ занятости

    Π—ΠΠ’Π˜Π‘Π˜ΠœΠžΠ‘Π’Π¬ ΠΠ•Π€ΠžΠ ΠœΠΠ›Π¬ΠΠžΠ™ Π—ΠΠΠ―Π’ΠžΠ‘Π’Π˜ ОВ Π£Π ΠžΠ’ΠΠ― Π”ΠžΠ₯ΠžΠ”ΠžΠ’ ΠΠΠ‘Π•Π›Π•ΠΠ˜Π― Π ΠžΠ‘Π‘Π˜Π™Π‘ΠšΠ˜Π₯ Π Π•Π“Π˜ΠžΠΠžΠ’: УРОКИ ΠŸΠΠΠ”Π•ΠœΠ˜Π˜

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    РаспространСниС Π½ΠΎΠ²ΠΎΠΉ коронавирусной ΠΈΠ½Ρ„Π΅ΠΊΡ†ΠΈΠΈ трансформировало экономику ΠΈ общСствСнный ΡƒΠΊΠ»Π°Π΄, пандСмия нанСсла ΡΠΎΠΊΡ€ΡƒΡˆΠΈΡ‚Π΅Π»ΡŒΠ½Ρ‹ΠΉ ΡƒΠ΄Π°Ρ€ ΠΏΠΎ Ρ€Ρ‹Π½ΠΊΡƒ Ρ‚Ρ€ΡƒΠ΄Π°. На Ρ„ΠΎΠ½Π΅ обострСния ΠΏΡ€ΠΎΠ±Π»Π΅ΠΌ Π±Π΅Π·Ρ€Π°Π±ΠΎΡ‚ΠΈΡ†Ρ‹ Π°ΠΊΡ‚ΡƒΠ°Π»ΠΈΠ·ΠΈΡ€ΠΎΠ²Π°Π»ΠΈΡΡŒ Π·Π°Π΄Π°Ρ‡ΠΈ сокращСния уровня Π½Π΅Ρ„ΠΎΡ€ΠΌΠ°Π»ΡŒΠ½ΠΎΠΉ занятости, ΠΎΠ±ΡƒΡΠ»ΠΎΠ²Π»ΠΈΠ²Π°ΡŽΡ‰Π΅ΠΉ прирост объСмов Ρ‚Π΅Π½Π΅Π²ΠΎΠΉ экономики. Π“ΠΈΠΏΠΎΡ‚Π΅Π·ΠΎΠΉ исслСдования стало ΠΏΡ€Π΅Π΄ΠΏΠΎΠ»ΠΎΠΆΠ΅Π½ΠΈΠ΅, Ρ‡Ρ‚ΠΎ ΠΏΠ°Π΄Π΅Π½ΠΈΠ΅ ΠΎΡ„ΠΈΡ†ΠΈΠ°Π»ΡŒΠ½Ρ‹Ρ… Π΄ΠΎΡ…ΠΎΠ΄ΠΎΠ² насСлСния Π² ΠΏΠ΅Ρ€ΠΈΠΎΠ΄ ΠΏΠ°Π½Π΄Π΅ΠΌΠΈΠΈ ΡΠΎΠΏΡ€ΠΎΠ²ΠΎΠΆΠ΄Π°Π»ΠΎΡΡŒ ростом Π½Π΅Ρ„ΠΎΡ€ΠΌΠ°Π»ΡŒΠ½ΠΎΠΉ занятости, Π΄ΠΈΡ„Ρ„Π΅Ρ€Π΅Π½Ρ†ΠΈΡ€ΠΎΠ²Π°Π½Π½Ρ‹ΠΌ ΠΏΠΎ Ρ€Π΅Π³ΠΈΠΎΠ½Π°ΠΌ России. ЦСлью Π½Π°ΡƒΡ‡Π½ΠΎΠ³ΠΎ поиска явилось тСорСтичСскоС обоснованиС ΠΈ эмпиричСскоС ΠΏΠΎΠ΄Ρ‚Π²Π΅Ρ€ΠΆΠ΄Π΅Π½ΠΈΠ΅ взаимосвязи послСдствий ΠΏΠ°Π½Π΄Π΅ΠΌΠΈΠΈ, сниТСния уровня Π΄ΠΎΡ…ΠΎΠ΄ΠΎΠ² насСлСния ΠΈ Π½Π΅Ρ„ΠΎΡ€ΠΌΠ°Π»ΡŒΠ½ΠΎΠΉ занятости Π² Ρ€Π΅Π³ΠΈΠΎΠ½Π°Π»ΡŒΠ½ΠΎΠΌ Ρ€Π°Π·Ρ€Π΅Π·Π΅ ΠΈ Ρ„ΠΎΡ€ΠΌΡƒΠ»ΠΈΡ€ΠΎΠ²Π°Π½ΠΈΠ΅ Π½Π°ΠΏΡ€Π°Π²Π»Π΅Π½ΠΈΠΉ нивСлирования ΠΈΡ… Π½Π΅Π³Π°Ρ‚ΠΈΠ²Π½ΠΎΠ³ΠΎ влияния Π½Π° Ρ€Ρ‹Π½ΠΎΠΊ Ρ‚Ρ€ΡƒΠ΄Π°. Π’ основу ΠΌΠ΅Ρ‚ΠΎΠ΄ΠΎΠ»ΠΎΠ³ΠΈΠΈ исслСдования ΠΏΠΎΠ»ΠΎΠΆΠ΅Π½ ΠΏΠΎΠ΄Ρ…ΠΎΠ΄ Росстата ΠΊ ΠΎΠΏΡ€Π΅Π΄Π΅Π»Π΅Π½ΠΈΡŽ ΠΊΡ€ΠΈΡ‚Π΅Ρ€ΠΈΠ΅Π² занятости, поставлСнныС Π·Π°Π΄Π°Ρ‡ΠΈ Ρ€Π΅ΡˆΠ°Π»ΠΈΡΡŒ с использованиСм экспСртно-аналитичСских ΠΌΠ΅Ρ‚ΠΎΠ΄ΠΎΠ², Π°Π½Π°Π»ΠΈΠ·Π° статистичСских рядов, кластСризации ΠΈ ΠΊΠ°Ρ€Ρ‚ΠΎΠ³Ρ€Π°Ρ„ΠΈΠΈ. Π“Ρ€ΡƒΠΏΠΏΠΈΡ€ΠΎΠ²ΠΊΠ° Ρ€Π΅Π³ΠΈΠΎΠ½ΠΎΠ² Π²Ρ‹ΠΏΠΎΠ»Π½Π΅Π½Π° Π½Π° основС иСрархичСского ΠΌΠ΅Ρ‚ΠΎΠ΄Π° Π£ΠΎΡ€Π΄Π°, кластСры построСны ΠΏΠΎ Π²Π·Π²Π΅ΡˆΠ΅Π½Π½Ρ‹ΠΌ стандартизированным Π΄Π°Π½Π½Ρ‹ΠΌ. ЭмпиричСская Π±Π°Π·Π° сформирована ΠΈΠ· ΠΎΡ„ΠΈΡ†ΠΈΠ°Π»ΡŒΠ½ΠΎΠΉ ΠΈΠ½Ρ„ΠΎΡ€ΠΌΠ°Ρ†ΠΈΠΈ Π€Π΅Π΄Π΅Ρ€Π°Π»ΡŒΠ½ΠΎΠΉ слуТбы государствСнной статистики Π Π€, ΠžΡ€Π³Π°Π½ΠΈΠ·Π°Ρ†ΠΈΠΈ ΠžΠ±ΡŠΠ΅Π΄ΠΈΠ½Π΅Π½Π½Ρ‹Ρ… Наций, ВсСмирного Π±Π°Π½ΠΊΠ°. Π Π΅Π·ΡƒΠ»ΡŒΡ‚Π°Ρ‚Ρ‹ исслСдования ΠΌΠ°ΡΡˆΡ‚Π°Π±ΠΎΠ² Π½Π΅Ρ„ΠΎΡ€ΠΌΠ°Π»ΡŒΠ½ΠΎΠΉ занятости Π² Ρ€Π΅Π³ΠΈΠΎΠ½Π°Ρ… России Π² условиях ΠΏΠ°Π½Π΄Π΅ΠΌΠΈΠΈ, Π²ΠΎΠΏΡ€Π΅ΠΊΠΈ гипотСтичСским оТиданиям, ΠΏΠΎΠΊΠ°Π·Π°Π»ΠΈ, Ρ‡Ρ‚ΠΎ Π² ΠΏΠ΅Ρ€ΠΈΠΎΠ΄ кризиса Π½Π΅Ρ„ΠΎΡ€ΠΌΠ°Π»ΡŒΠ½Π°Ρ Π·Π°Π½ΡΡ‚ΠΎΡΡ‚ΡŒ насСлСния Π² Π±ΠΎΠ»ΡŒΡˆΠΈΠ½ΡΡ‚Π²Π΅ ΡΡƒΠ±ΡŠΠ΅ΠΊΡ‚ΠΎΠ² Π€Π΅Π΄Π΅Ρ€Π°Ρ†ΠΈΠΈ ΡΠΎΠΊΡ€Π°Ρ‚ΠΈΠ»Π°ΡΡŒ, ΠΏΡ€ΠΈ этом набольшСС Π΅Π΅ сниТСниС ΠΎΡ‚ΠΌΠ΅Ρ‡Π΅Π½ΠΎ Π² рСспубликах Π‘Π΅Π²Π΅Ρ€Π½ΠΎΠ³ΠΎ Кавказа. ΠšΠ»Π°ΡΡ‚Π΅Ρ€ΠΈΠ·Π°Ρ†ΠΈΡ Ρ‚Π΅Ρ€Ρ€ΠΈΡ‚ΠΎΡ€ΠΈΠΉ ΠΏΠΎΠ·Π²ΠΎΠ»ΠΈΠ»Π° Π²Ρ‹ΡΠ²ΠΈΡ‚ΡŒ Π³Ρ€ΡƒΠΏΠΏΡ‹ российских Ρ€Π΅Π³ΠΈΠΎΠ½ΠΎΠ² ΠΏΠΎ стСпСни зависимости Π½Π΅Ρ„ΠΎΡ€ΠΌΠ°Π»ΡŒΠ½ΠΎΠΉ занятости ΠΎΡ‚ Π΄ΠΎΡ…ΠΎΠ΄ΠΎΠ² насСлСния ΠΈ Π²Π°Π»ΠΎΠ²ΠΎΠ³ΠΎ Ρ€Π΅Π³ΠΈΠΎΠ½Π°Π»ΡŒΠ½ΠΎΠ³ΠΎ ΠΏΡ€ΠΎΠ΄ΡƒΠΊΡ‚Π° Π½Π° Π΄ΡƒΡˆΡƒ насСлСния. ΠŸΡ€Π°ΠΊΡ‚ΠΈΡ‡Π΅ΡΠΊΠΎΠ΅ Π·Π½Π°Ρ‡Π΅Π½ΠΈΠ΅ Ρ€Π΅Π·ΡƒΠ»ΡŒΡ‚Π°Ρ‚ΠΎΠ² обусловлСно Π²ΠΎΠ·ΠΌΠΎΠΆΠ½ΠΎΡΡ‚ΡŒΡŽ ΠΈΡ… использования для Π²Ρ‹Ρ€Π°Π±ΠΎΡ‚ΠΊΠΈ Ρ‚ΠΈΠΏΠΎΠ²Ρ‹Ρ… Ρ€Π΅ΡˆΠ΅Π½ΠΈΠΉ Π² части формирования комплСкса ΠΌΠ΅Ρ€ долгосрочной ΠΈ краткосрочной ΠΏΠΎΠ΄Π΄Π΅Ρ€ΠΆΠΊΠΈ Ρ€Π°Π±ΠΎΡ‚Π½ΠΈΠΊΠΎΠ² Π½Π° ΡƒΡ€ΠΎΠ²Π½Π΅ государства, ΡΡƒΠ±ΡŠΠ΅ΠΊΡ‚ΠΎΠ² Π€Π΅Π΄Π΅Ρ€Π°Ρ†ΠΈΠΈ ΠΈ Π½Π° ΠΌΠΈΠΊΡ€ΠΎΡƒΡ€ΠΎΠ²Π½Π΅ Π² Π½Π°ΠΏΡ€Π°Π²Π»Π΅Π½ΠΈΠΈ сниТСния Π½Π΅Π³Π°Ρ‚ΠΈΠ²Π½ΠΎΠ³ΠΎ влияния выявлСнных ΠΏΡ€ΠΈΡ‡ΠΈΠ½ Π½Π° рост Π½Π΅Ρ„ΠΎΡ€ΠΌΠ°Π»ΡŒΠ½ΠΎΠΉ занятости

    ΠŸΠ΅Ρ€ΡΠΏΠ΅ΠΊΡ‚ΠΈΠ²Ρ‹ внСдрСния Ρ†ΠΈΡ„Ρ€ΠΎΠ²ΠΎΠ³ΠΎ рубля Π² Π΄Π΅Π½Π΅ΠΆΠ½Ρ‹ΠΉ ΠΎΠ±ΠΎΡ€ΠΎΡ‚ России: Π°Ρ‚Ρ€ΠΈΠ±ΡƒΡ‚Ρ‹ ΠΈ ΠΏΡ€ΠΈΠ½Ρ†ΠΈΠΏΡ‹ формирования Π΄ΠΎΠ²Π΅Ρ€Π΅Π½Π½ΠΎΠΉ Ρ†ΠΈΡ„Ρ€ΠΎΠ²ΠΎΠΉ срСды

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    The rapid nature of the modernization of monetary turnover, accompanied by geopolitical risks against the background of post-pandemic economic recovery and the regionalization process, no longer just arouses the discursive interest of society, but becomes an indispensable condition of the new reality. The process of money turnover transformation by introducing digital currencies into circulation in the wave of digitalization among world powers lagging behind the evolving environment of the cryptocurrency industry is developing into a process of formalization of metaverses and penetrates deeper into the socio-economic reality. The problem of the Russian practice of developing the payment environment consists in its catching-up character, caused by the spontaneous formation of the digital society, resulting in the expansion of the scope of alternative finance outside the legal field. The purpose of the paper is to determine the inherent attributes of the digital trusted environment necessary to ensure digital ruble turnover, based on an empirical study of society’s perceptions about the prospects for using the digital form of the national monetary unit by representatives of various generations. We used systematization, grouping, comparative and content analysis, surveys, and the quota method to achieve the paper’s purpose. The survey involved 35,327 residents from different regions. As a result, the authors revealed the low level of readiness of society for the introduction of the digital ruble as a substitute for cash and cryptocurrency. The paper focuses on the need for an integrated approach to the disclosure of the digital ruble’s value and benefits, which contributes to its successful launch and promotion in the market. The results of the research highlight the importance of correspondence in the digital ruble category β€œdigital currencies”, and also the impossibility of making incorrect decisions in the transformation of money turnover, which leads to the growth of risks of digital inequality, the clash of interests of certain groups of the population in the prevailing behavioral patterns in the form of a cautious attitude to digital finance with insufficient financial literacy.Π‘Ρ‚Ρ€Π΅ΠΌΠΈΡ‚Π΅Π»ΡŒΠ½Ρ‹ΠΉ Ρ…Π°Ρ€Π°ΠΊΡ‚Π΅Ρ€ ΠΌΠΎΠ΄Π΅Ρ€Π½ΠΈΠ·Π°Ρ†ΠΈΠΈ Π΄Π΅Π½Π΅ΠΆΠ½ΠΎΠ³ΠΎ ΠΎΠ±ΠΎΡ€ΠΎΡ‚Π°, сопровоТдаСмой гСополитичСскими рисками Π½Π° Ρ„ΠΎΠ½Π΅ постпандСмийного восстановлСния экономики ΠΈ процСсса Ρ€Π΅Π³ΠΈΠΎΠ½Π°Π»ΠΈΠ·Π°Ρ†ΠΈΠΈ, Π½Π΅ просто Π²Ρ‹Π·Ρ‹Π²Π°Π΅Ρ‚ дискурсивный интСрСс общСства, Π° становится Π½Π΅ΠΎΡ‚ΡŠΠ΅ΠΌΠ»Π΅ΠΌΡ‹ΠΌ условиСм Π½ΠΎΠ²ΠΎΠΉ Ρ€Π΅Π°Π»ΡŒΠ½ΠΎΡΡ‚ΠΈ. ΠŸΡ€ΠΎΡ†Π΅ΡΡ трансформации Π΄Π΅Π½Π΅ΠΆΠ½ΠΎΠ³ΠΎ ΠΎΠ±ΠΎΡ€ΠΎΡ‚Π° ΠΏΡƒΡ‚Π΅ΠΌ внСдрСния Ρ†ΠΈΡ„Ρ€ΠΎΠ²Ρ‹Ρ… Π²Π°Π»ΡŽΡ‚ Π½Π° Π²ΠΎΠ»Π½Π΅ Π³ΠΎΠ½ΠΊΠΈ Ρ†ΠΈΡ„Ρ€ΠΎΠ²ΠΈΠ·Π°Ρ†ΠΈΠΈ срСди ΠΌΠΈΡ€ΠΎΠ²Ρ‹Ρ… Π΄Π΅Ρ€ΠΆΠ°Π², ΠΎΡ‚ΡΡ‚Π°ΡŽΡ‰ΠΈΡ… ΠΎΡ‚ ΡΠ²ΠΎΠ»ΡŽΡ†ΠΈΠΎΠ½ΠΈΡ€ΡƒΡŽΡ‰Π΅ΠΉ ΠΊΡ€ΠΈΠΏΡ‚ΠΎΠ²Π°Π»ΡŽΡ‚Π½ΠΎΠΉ индустрии, пСрСрастаСт Π² процСсс Ρ„ΠΎΡ€ΠΌΠ°Π»ΠΈΠ·Π°Ρ†ΠΈΠΈ мСтавсСлСнных ΠΈ всС Π³Π»ΡƒΠ±ΠΆΠ΅ ΠΏΡ€ΠΎΠ½ΠΈΠΊΠ°Π΅Ρ‚ Π² ΡΠΎΡ†ΠΈΠ°Π»ΡŒΠ½ΠΎ- ΡΠΊΠΎΠ½ΠΎΠΌΠΈΡ‡Π΅ΡΠΊΡƒΡŽ Π΄Π΅ΠΉΡΡ‚Π²ΠΈΡ‚Π΅Π»ΡŒΠ½ΠΎΡΡ‚ΡŒ. ΠŸΡ€ΠΎΠ±Π»Π΅ΠΌΠ° российской ΠΏΡ€Π°ΠΊΡ‚ΠΈΠΊΠΈ развития ΠΏΠ»Π°Ρ‚Π΅ΠΆΠ½ΠΎΠΉ срСды Π·Π°ΠΊΠ»ΡŽΡ‡Π°Π΅Ρ‚ΡΡ Π² Π΅Π΅ Π΄ΠΎΠ³ΠΎΠ½ΡΡŽΡ‰Π΅ΠΌ Ρ…Π°Ρ€Π°ΠΊΡ‚Π΅Ρ€Π΅, обусловлСнном ΡΠ°ΠΌΠΎΠΏΡ€ΠΎΠΈΠ·Π²ΠΎΠ»ΡŒΠ½Ρ‹ΠΌ становлСниСм Ρ†ΠΈΡ„Ρ€ΠΎΠ²ΠΎΠ³ΠΎ общСства, приводящСм ΠΊ Ρ€Π°ΡΡˆΠΈΡ€Π΅Π½ΠΈΡŽ ΠΌΠ°ΡΡˆΡ‚Π°Π±ΠΎΠ² Π°Π»ΡŒΡ‚Π΅Ρ€Π½Π°Ρ‚ΠΈΠ²Π½Ρ‹Ρ… финансов Π²Π½Π΅ Ρ€Π°ΠΌΠΎΠΊ ΠΏΡ€Π°Π²ΠΎΠ²ΠΎΠ³ΠΎ поля. ЦСлью исслСдования стало ΠΎΠΏΡ€Π΅Π΄Π΅Π»Π΅Π½ΠΈΠ΅ Π½Π΅ΠΎΡ‚ΡŠΠ΅ΠΌΠ»Π΅ΠΌΡ‹Ρ… Π°Ρ‚Ρ€ΠΈΠ±ΡƒΡ‚ΠΎΠ² Π΄ΠΎΠ²Π΅Ρ€Π΅Π½Π½ΠΎΠΉ Ρ†ΠΈΡ„Ρ€ΠΎΠ²ΠΎΠΉ срСды, Π½Π΅ΠΎΠ±Ρ…ΠΎΠ΄ΠΈΠΌΠΎΠΉ для обСспСчСния ΠΎΠ±ΠΎΡ€ΠΎΡ‚Π° Ρ†ΠΈΡ„Ρ€ΠΎΠ²ΠΎΠ³ΠΎ рубля, ΠΈ выявлСниС особСнностСй восприятия пСрспСктив использования Ρ†ΠΈΡ„Ρ€ΠΎΠ²ΠΎΠΉ Ρ„ΠΎΡ€ΠΌΡ‹ Π½Π°Ρ†ΠΈΠΎΠ½Π°Π»ΡŒΠ½ΠΎΠΉ Π΄Π΅Π½Π΅ΠΆΠ½ΠΎΠΉ Π΅Π΄ΠΈΠ½ΠΈΡ†Ρ‹ прСдставитСлями Ρ€Π°Π·Π»ΠΈΡ‡Π½Ρ‹Ρ… ΠΏΠΎΠΊΠΎΠ»Π΅Π½ΠΈΠΉ. Для достиТСния Ρ†Π΅Π»ΠΈ ΠΈΡΠΏΠΎΠ»ΡŒΠ·ΠΎΠ²Π°Π½Ρ‹ ΠΌΠ΅Ρ‚ΠΎΠ΄Ρ‹ систСматизации, Π³Ρ€ΡƒΠΏΠΏΠΈΡ€ΠΎΠ²ΠΊΠΈ, ΠΊΠΎΠΌΠΏΠ°Ρ€Π°Ρ‚ΠΈΠ²Π½ΠΎΠ³ΠΎ ΠΈ ΠΊΠΎΠ½- Ρ‚Π΅Π½Ρ‚-Π°Π½Π°Π»ΠΈΠ·Π°, анкСтирования, ΠΌΠ΅Ρ‚ΠΎΠ΄ ΠΊΠ²ΠΎΡ‚. Π’ опросС приняли участиС 35 327 ΠΆΠΈΡ‚Π΅Π»Π΅ΠΉ Ρ€Π°Π·Π»ΠΈΡ‡Π½Ρ‹Ρ… Ρ€Π΅Π³ΠΈΠΎΠ½ΠΎΠ² страны. ВыявлСн Π½ΠΈΠ·ΠΊΠΈΠΉ ΡƒΡ€ΠΎΠ²Π΅Π½ΡŒ готовности общСства ΠΊ Π²Π½Π΅Π΄Ρ€Π΅Π½ΠΈΡŽ Ρ†ΠΈΡ„Ρ€ΠΎΠ²ΠΎΠ³ΠΎ рубля ΠΊΠ°ΠΊ замСститСля Π½Π°Π»ΠΈΡ‡Π½Ρ‹Ρ… Π΄Π΅Π½Π΅Π³ ΠΈ Π°Π»ΡŒΡ‚Π΅Ρ€Π½Π°Ρ‚ΠΈΠ²Ρ‹ ΠΊΡ€ΠΈΠΏΡ‚ΠΎΠ²Π°Π»ΡŽΡ‚Ρ‹. АкцСнтировано Π²Π½ΠΈΠΌΠ°Π½ΠΈΠ΅ Π½Π° нСобходимости комплСксного ΠΏΠΎΠ΄Ρ…ΠΎΠ΄Π° ΠΊ Ρ€Π°ΡΠΊΡ€Ρ‹Ρ‚ΠΈΡŽ цСнности ΠΈ прСимущСств Ρ†ΠΈΡ„Ρ€ΠΎΠ²ΠΎΠ³ΠΎ рубля, ΡΠΎΠ΄Π΅ΠΉΡΡ‚Π²ΡƒΡŽΡ‰Π΅Π³ΠΎ Π΅Π³ΠΎ ΡƒΡΠΏΠ΅ΡˆΠ½ΠΎΠΌΡƒ запуску ΠΈ ΠΏΡ€ΠΎΠ΄Π²ΠΈΠΆΠ΅Π½ΠΈΡŽ. Π Π΅Π·ΡƒΠ»ΡŒΡ‚Π°Ρ‚Ρ‹ исслСдования ΠΏΠΎΠ΄Ρ‡Π΅Ρ€ΠΊΠΈΠ²Π°ΡŽΡ‚ Π·Π½Π°Ρ‡ΠΈΠΌΠΎΡΡ‚ΡŒ соотвСтствия Ρ†ΠΈΡ„Ρ€ΠΎΠ²ΠΎΠ³ΠΎ рубля ΠΊΠ°Ρ‚Π΅Π³ΠΎΡ€ΠΈΠΈ Β«Ρ†ΠΈΡ„Ρ€ΠΎΠ²Ρ‹Π΅ Π²Π°Π»ΡŽΡ‚Ρ‹Β» ΠΈ Π°ΠΊΡ†Π΅Π½Ρ‚ΠΈΡ€ΡƒΡŽΡ‚ Π²Π½ΠΈΠΌΠ°Π½ΠΈΠ΅ Π½Π° нСдопустимости принятия Π½Π΅Π²Π΅Ρ€Π½Ρ‹Ρ… Ρ€Π΅ΡˆΠ΅Π½ΠΈΠΉ ΠΏΡ€ΠΈ трансформации Π΄Π΅Π½Π΅ΠΆΠ½ΠΎΠ³ΠΎ ΠΎΠ±ΠΎΡ€ΠΎΡ‚Π°, приводящих ΠΊ Π½Π°Ρ€Π°ΡΡ‚Π°Π½ΠΈΡŽ рисков Ρ†ΠΈΡ„Ρ€ΠΎΠ²ΠΎΠ³ΠΎ нСравСнства, ΡΡ‚ΠΎΠ»ΠΊΠ½ΠΎΠ²Π΅Π½ΠΈΡŽ интСрСсов ΠΎΠΏΡ€Π΅Π΄Π΅Π»Π΅Π½Π½Ρ‹Ρ… Π³Ρ€ΡƒΠΏΠΏ насСлСния Π² условиях ΡΠ»ΠΎΠΆΠΈΠ²ΡˆΠΈΡ…ΡΡ повСдСнчСских ΠΏΠ°Ρ‚Ρ‚Π΅Ρ€Π½ΠΎΠ² Π² Π²ΠΈΠ΄Π΅ настороТСнного ΠΎΡ‚Π½ΠΎΡˆΠ΅Π½ΠΈΡ ΠΊ Digital finance ΠΏΡ€ΠΈ нСдостаточной финансовой грамотности

    Dislocation structure and deformation hardening alloy fcc single crystals at the mesolevel

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    The article presents the evaluation results of impacts of various strengthening mechanisms to flow stress. Such evaluations were made on the basis of the measured parameters of the dislocation substructure formed in monocrystals of [001]-Ni3Fe alloy deformed by compression within the stage II. It was found that the main impact to deformation resistance in the alloys with net substructure is made by the mechanism of dislocation impediment, which is caused by contact interaction between moving dislocations and forest dislocations

    Dislocation structure and deformation hardening alloy fcc single crystals at the mesolevel

    Get PDF
    The article presents the evaluation results of impacts of various strengthening mechanisms to flow stress. Such evaluations were made on the basis of the measured parameters of the dislocation substructure formed in monocrystals of [001]-Ni3Fe alloy deformed by compression within the stage II. It was found that the main impact to deformation resistance in the alloys with net substructure is made by the mechanism of dislocation impediment, which is caused by contact interaction between moving dislocations and forest dislocations

    A new design for a green calcium indicator with a smaller size and a reduced number of calcium-binding sites

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    Genetically encoded calcium indicators (GECIs) are mainly represented by two- or one-fluorophore-based sensors. One type of two-fluorophore-based sensor, carrying Opsanus troponin C (TnC) as the Ca2+-binding moiety, has two binding sites for calcium ions, providing a linear response to calcium ions. One-fluorophore-based sensors have four Ca2+-binding sites but are better suited for in vivo experiments. Herein, we describe a novel design for a one-fluorophore-based GECI with two Ca2+-binding sites. The engineered sensor, called NTnC, uses TnC as the Ca2+-binding moiety, inserted in the mNeonGreen fluorescent protein. Monomeric NTnC has higher brightness and pH-stability in vitro compared with the standard GECI GCaMP6s. In addition, NTnC shows an inverted fluorescence response to Ca2+. Using NTnC, we have visualized Ca2+ dynamics during spontaneous activity of neuronal cultures as confirmed by control NTnC and its mutant, in which the affinity to Ca2+ is eliminated. Using whole-cell patch clamp, we have demonstrated that NTnC dynamics in neurons are similar to those of GCaMP6s and allow robust detection of single action potentials. Finally, we have used NTnC to visualize Ca2+ neuronal activity in vivo in the V1 cortical area in awake and freely moving mice using two-photon microscopy or an nVista miniaturized microscope

    Efficacy and safety of oral semaglutide in patients with type 2 diabetes and moderate renal impairment (PIONEER 5): a placebo-controlled, randomised, phase 3a trial

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    Background: Oral semaglutide is the first oral glucagon-like peptide-1 (GLP-1) receptor agonist for glycaemic control in patients with type 2 diabetes. Type 2 diabetes is commonly associated with renal impairment, restricting treatment options. We aimed to investigate the efficacy and safety of oral semaglutide in patients with type 2 diabetes and moderate renal impairment. Methods: This randomised, double-blind, phase 3a trial was undertaken at 88 sites in eight countries. Patients aged 18 years and older, with type 2 diabetes, an estimated glomerular filtration rate of 30–59 mL/min per 1Β·73 m2, and who had been receiving a stable dose of metformin or sulfonylurea, or both, or basal insulin with or without metformin for the past 90 days were eligible. Participants were randomly assigned (1:1) by use of an interactive web-response system, with stratification by glucose-lowering medication and renal function, to receive oral semaglutide (dose escalated to 14 mg once daily) or matching placebo for 26 weeks, in addition to background medication. Participants and site staff were masked to assignment. Two efficacy-related estimands were defined: treatment policy (regardless of treatment discontinuation or rescue medication) and trial product (on treatment without rescue medication) in all participants randomly assigned. Endpoints were change from baseline to week 26 in HbA1c (primary endpoint) and bodyweight (confirmatory secondary endpoint), assessed in all participants with sufficient data. Safety was assessed in all participants who received at least one dose of study drug. This trial is registered on ClinicalTrials.gov, number NCT02827708, and the European Clinical Trials Registry, number EudraCT 2015-005326-19, and is now complete. Findings: Between Sept 20, 2016, and Sept 29, 2017, of 721 patients screened, 324 were eligible and randomly assigned to oral semaglutide (n=163) or placebo (n=161). Mean age at baseline was 70 years (SD 8), and 168 (52%) of participants were female. 133 (82%) participants in the oral semaglutide group and 141 (88%) in the placebo group completed 26 weeks on treatment. At 26 weeks, oral semaglutide was superior to placebo in decreasing HbA1c (estimated mean change of βˆ’1Β·0 percentage point (SE 0Β·1; βˆ’11 mmol/mol [SE 0Β·8]) vs βˆ’0Β·2 percentage points (SE 0Β·1; βˆ’2 mmol/mol [SE 0Β·8]); estimated treatment difference [ETD]: βˆ’0Β·8 percentage points, 95% CI βˆ’1Β·0 to βˆ’0Β·6;

    Dependence of Informal Employment on Population Income in Russian Regions: Lessons from the Pandemic

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    РаспространСниС Π½ΠΎΠ²ΠΎΠΉ коронавирусной ΠΈΠ½Ρ„Π΅ΠΊΡ†ΠΈΠΈ трансформировало экономику ΠΈ общСствСнный ΡƒΠΊΠ»Π°Π΄, пандСмия нанСсла ΡΠΎΠΊΡ€ΡƒΡˆΠΈΡ‚Π΅Π»ΡŒΠ½Ρ‹ΠΉ ΡƒΠ΄Π°Ρ€ ΠΏΠΎ Ρ€Ρ‹Π½ΠΊΡƒ Ρ‚Ρ€ΡƒΠ΄Π°. На Ρ„ΠΎΠ½Π΅ обострСния ΠΏΡ€ΠΎΠ±Π»Π΅ΠΌ Π±Π΅Π·Ρ€Π°Π±ΠΎΡ‚ΠΈΡ†Ρ‹ Π°ΠΊΡ‚ΡƒΠ°Π»ΠΈΠ·ΠΈΡ€ΠΎΠ²Π°Π»ΠΈΡΡŒ Π·Π°Π΄Π°Ρ‡ΠΈ сокращСния уровня Π½Π΅Ρ„ΠΎΡ€ΠΌΠ°Π»ΡŒΠ½ΠΎΠΉ занятости, ΠΎΠ±ΡƒΡΠ»ΠΎΠ²Π»ΠΈΠ²Π°ΡŽΡ‰Π΅ΠΉ прирост объСмов Ρ‚Π΅Π½Π΅Π²ΠΎΠΉ экономики. Π“ΠΈΠΏΠΎΡ‚Π΅Π·ΠΎΠΉ исслСдования стало ΠΏΡ€Π΅Π΄ΠΏΠΎΠ»ΠΎΠΆΠ΅Π½ΠΈΠ΅, Ρ‡Ρ‚ΠΎ ΠΏΠ°Π΄Π΅Π½ΠΈΠ΅ ΠΎΡ„ΠΈΡ†ΠΈΠ°Π»ΡŒΠ½Ρ‹Ρ… Π΄ΠΎΡ…ΠΎΠ΄ΠΎΠ² насСлСния Π² ΠΏΠ΅Ρ€ΠΈΠΎΠ΄ ΠΏΠ°Π½Π΄Π΅ΠΌΠΈΠΈ ΡΠΎΠΏΡ€ΠΎΠ²ΠΎΠΆΠ΄Π°Π»ΠΎΡΡŒ ростом Π½Π΅Ρ„ΠΎΡ€ΠΌΠ°Π»ΡŒΠ½ΠΎΠΉ занятости, Π΄ΠΈΡ„Ρ„Π΅Ρ€Π΅Π½Ρ†ΠΈΡ€ΠΎΠ²Π°Π½Π½Ρ‹ΠΌ ΠΏΠΎ Ρ€Π΅Π³ΠΈΠΎΠ½Π°ΠΌ России. ЦСлью Π½Π°ΡƒΡ‡Π½ΠΎΠ³ΠΎ поиска явилось тСорСтичСскоС обоснованиС ΠΈ эмпиричСскоС ΠΏΠΎΠ΄Ρ‚Π²Π΅Ρ€ΠΆΠ΄Π΅Π½ΠΈΠ΅ взаимосвязи послСдствий ΠΏΠ°Π½Π΄Π΅ΠΌΠΈΠΈ, сниТСния уровня Π΄ΠΎΡ…ΠΎΠ΄ΠΎΠ² насСлСния ΠΈ Π½Π΅Ρ„ΠΎΡ€ΠΌΠ°Π»ΡŒΠ½ΠΎΠΉ занятости Π² Ρ€Π΅Π³ΠΈΠΎΠ½Π°Π»ΡŒΠ½ΠΎΠΌ Ρ€Π°Π·Ρ€Π΅Π·Π΅ ΠΈ Ρ„ΠΎΡ€ΠΌΡƒΠ»ΠΈΡ€ΠΎΠ²Π°Π½ΠΈΠ΅ Π½Π°ΠΏΡ€Π°Π²Π»Π΅Π½ΠΈΠΉ нивСлирования ΠΈΡ… Π½Π΅Π³Π°Ρ‚ΠΈΠ²Π½ΠΎΠ³ΠΎ влияния Π½Π° Ρ€Ρ‹Π½ΠΎΠΊ Ρ‚Ρ€ΡƒΠ΄Π°. Π’ основу ΠΌΠ΅Ρ‚ΠΎΠ΄ΠΎΠ»ΠΎΠ³ΠΈΠΈ исслСдования ΠΏΠΎΠ»ΠΎΠΆΠ΅Π½ ΠΏΠΎΠ΄Ρ…ΠΎΠ΄ Росстата ΠΊ ΠΎΠΏΡ€Π΅Π΄Π΅Π»Π΅Π½ΠΈΡŽ ΠΊΡ€ΠΈΡ‚Π΅Ρ€ΠΈΠ΅Π² занятости, поставлСнныС Π·Π°Π΄Π°Ρ‡ΠΈ Ρ€Π΅ε±±Π°Π»ΠΈΡΡŒ с использованиСм экспСртно-аналитичСских ΠΌΠ΅Ρ‚ΠΎΠ΄ΠΎΠ², Π°Π½Π°Π»ΠΈΠ·Π° статистичСских рядов, кластСризации ΠΈ ΠΊΠ°Ρ€Ρ‚ΠΎΠ³Ρ€Π°Ρ„ΠΈΠΈ. Π“Ρ€ΡƒΠΏΠΏΠΈΡ€ΠΎΠ²ΠΊΠ° Ρ€Π΅Π³ΠΈΠΎΠ½ΠΎΠ² Π²Ρ‹ΠΏΠΎΠ»Π½Π΅Π½Π° Π½Π° основС иСрархичСского ΠΌΠ΅Ρ‚ΠΎΠ΄Π° Π£ΠΎΡ€Π΄Π°, кластСры построСны ΠΏΠΎ Π²Π·Π²Π΅ΡˆΠ΅Π½Π½Ρ‹ΠΌ стандартизированным Π΄Π°Π½Π½Ρ‹ΠΌ. ЭмпиричСская Π±Π°Π·Π° сформирована ΠΈΠ· ΠΎΡ„ΠΈΡ†ΠΈΠ°Π»ΡŒΠ½ΠΎΠΉ ΠΈΠ½Ρ„ΠΎΡ€ΠΌΠ°Ρ†ΠΈΠΈ Π€Π΅Π΄Π΅Ρ€Π°Π»ΡŒΠ½ΠΎΠΉ слуТбы государствСнной статистики Π Π€, ΠžΡ€Π³Π°Π½ΠΈΠ·Π°Ρ†ΠΈΠΈ ΠžΠ±ΡŠΠ΅Π΄ΠΈΠ½Π΅Π½Π½Ρ‹Ρ… Наций, ВсСмирного Π±Π°Π½ΠΊΠ°. Π Π΅Π·ΡƒΠ»ΡŒΡ‚Π°Ρ‚Ρ‹ исслСдования ΠΌΠ°ΡΡˆΡ‚Π°Π±ΠΎΠ² Π½Π΅Ρ„ΠΎΡ€ΠΌΠ°Π»ΡŒΠ½ΠΎΠΉ занятости Π² Ρ€Π΅Π³ΠΈΠΎΠ½Π°Ρ… России Π² условиях ΠΏΠ°Π½Π΄Π΅ΠΌΠΈΠΈ, Π²ΠΎΠΏΡ€Π΅ΠΊΠΈ гипотСтичСским оТиданиям, ΠΏΠΎΠΊΠ°Π·Π°Π»ΠΈ, Ρ‡Ρ‚ΠΎ Π² ΠΏΠ΅Ρ€ΠΈΠΎΠ΄ кризиса Π½Π΅Ρ„ΠΎΡ€ΠΌΠ°Π»ΡŒΠ½Π°Ρ Π·Π°Π½ΡΡ‚ΠΎΡΡ‚ΡŒ насСлСния Π² Π±ΠΎΠ»ΡŒε±±ΠΈΠ½ΡΡ‚Π²Π΅ ΡΡƒΠ±ΡŠΠ΅ΠΊΡ‚ΠΎΠ² Π€Π΅Π΄Π΅Ρ€Π°Ρ†ΠΈΠΈ ΡΠΎΠΊΡ€Π°Ρ‚ΠΈΠ»Π°ΡΡŒ, ΠΏΡ€ΠΈ этом набольшСС Π΅Π΅ сниТСниС ΠΎΡ‚ΠΌΠ΅Ρ‡Π΅Π½ΠΎ Π² рСспубликах Π‘Π΅Π²Π΅Ρ€Π½ΠΎΠ³ΠΎ Кавказа. ΠšΠ»Π°ΡΡ‚Π΅Ρ€ΠΈΠ·Π°Ρ†ΠΈΡ Ρ‚Π΅Ρ€Ρ€ΠΈΡ‚ΠΎΡ€ΠΈΠΉ ΠΏΠΎΠ·Π²ΠΎΠ»ΠΈΠ»Π° Π²Ρ‹ΡΠ²ΠΈΡ‚ΡŒ Π³Ρ€ΡƒΠΏΠΏΡ‹ российских Ρ€Π΅Π³ΠΈΠΎΠ½ΠΎΠ² ΠΏΠΎ стСпСни зависимости Π½Π΅Ρ„ΠΎΡ€ΠΌΠ°Π»ΡŒΠ½ΠΎΠΉ занятости ΠΎΡ‚ Π΄ΠΎΡ…ΠΎΠ΄ΠΎΠ² насСлСния ΠΈ Π²Π°Π»ΠΎΠ²ΠΎΠ³ΠΎ Ρ€Π΅Π³ΠΈΠΎΠ½Π°Π»ΡŒΠ½ΠΎΠ³ΠΎ ΠΏΡ€ΠΎΠ΄ΡƒΠΊΡ‚Π° Π½Π° Π΄ΡƒΡˆΡƒ насСлСния. ΠŸΡ€Π°ΠΊΡ‚ΠΈΡ‡Π΅ΡΠΊΠΎΠ΅ Π·Π½Π°Ρ‡Π΅Π½ΠΈΠ΅ Ρ€Π΅Π·ΡƒΠ»ΡŒΡ‚Π°Ρ‚ΠΎΠ² обусловлСно Π²ΠΎΠ·ΠΌΠΎΠΆΠ½ΠΎΡΡ‚ΡŒΡŽ ΠΈΡ… использования для Π²Ρ‹Ρ€Π°Π±ΠΎΡ‚ΠΊΠΈ Ρ‚ΠΈΠΏΠΎΠ²Ρ‹Ρ… Ρ€Π΅ΡˆΠ΅Π½ΠΈΠΉ Π² части формирования комплСкса ΠΌΠ΅Ρ€ долгосрочной ΠΈ краткосрочной ΠΏΠΎΠ΄Π΄Π΅Ρ€ΠΆΠΊΠΈ Ρ€Π°Π±ΠΎΡ‚Π½ΠΈΠΊΠΎΠ² Π½Π° ΡƒΡ€ΠΎΠ²Π½Π΅ государства, ΡΡƒΠ±ΡŠΠ΅ΠΊΡ‚ΠΎΠ² Π€Π΅Π΄Π΅Ρ€Π°Ρ†ΠΈΠΈ ΠΈ Π½Π° ΠΌΠΈΠΊΡ€ΠΎΡƒΡ€ΠΎΠ²Π½Π΅ Π² Π½Π°ΠΏΡ€Π°Π²Π»Π΅Π½ΠΈΠΈ сниТСния Π½Π΅Π³Π°Ρ‚ΠΈΠ²Π½ΠΎΠ³ΠΎ влияния выявлСнных ΠΏΡ€ΠΈΡ‡ΠΈΠ½ Π½Π° рост Π½Π΅Ρ„ΠΎΡ€ΠΌΠ°Π»ΡŒΠ½ΠΎΠΉ занятости.The coronavirus spread transformed the economy and social order, and dealt a crushing blow to the labour market. Considering the worsening unemployment, it becomes important to reduce informal employment, which leads to an increase in the shadow economy. It is hypothesised that the decline in official income is accompanied by an increase in informal employment differentiated across Russian region. The study aims to theoretically justify and empirically confirm the relationship between the consequences of the pandemic, decline in population income and dynamics of informal employment in regions, as well as to develop ways to reduce their negative impact on the labour market. The study utilised an approach of the Federal State Statistics Service (Rosstat) to determining employment criteria; additionally, expert and analytical methods, analysis of statistical series, clustering and cartography were applied. The regions were clustered according to Ward’s hierarchical method based on weighted standardised data.To this end, official data from Rosstat, the United Nations, and the World Bank were examined. As a result, the analysis of informal employment in Russian regions during the pandemic did not confirm the hypothesis, showing that informal employment actually decreased in most constituent entities; the largest decrease was observed in the North Caucasus republics. The performed clustering revealed groups of Russian regions in terms of the dependence of informal employment on average per capita income and gross regional product per capita. The obtained findings can be used to develop standard solutions for establishing long- and short-term support measures for employees at the national, regional and micro-level aimed at reducing the negative impact of the identified reasons for the growth of informal employment.ИсслСдованиС Π²Ρ‹ΠΏΠΎΠ»Π½Π΅Π½ΠΎ ΠΏΡ€ΠΈ финансовой ΠΏΠΎΠ΄Π΄Π΅Ρ€ΠΆΠΊΠ΅ РЀЀИ Π² Ρ€Π°ΠΌΠΊΠ°Ρ… Π½Π°ΡƒΡ‡Π½ΠΎΠ³ΠΎ ΠΏΡ€ΠΎΠ΅ΠΊΡ‚Π° β„– 20-010-00243 ΠΈ Π‘Π΅Π²Π΅Ρ€ΠΎ-Кавказского Ρ„Π΅Π΄Π΅Ρ€Π°Π»ΡŒΠ½ΠΎΠ³ΠΎ унивСрситСта.The article has been prepared with the support of the Russian Foundation for Basic Research, the project No. 20-010-00243, and North-Caucasus Federal University

    About quality of othorynolaringological aid for elders

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    The own scientific criteria of quality of gerontological othorynolaringological aid are presented in this article

    North Caucasian Federal District: Conditions and Strategic Reference Points of Development

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    The authors have carried out the analysis of the North Caucasian Federal District economy in a number of the directions: a general economic situation in the region, investment activity and investment appeal, the diagnostics of the budget stability and budget independence has been performed. They draw the conclusion that the economy of the district has a pronounced non-productive nature, its developed structure and disproportions interfere with forming the stable results and growth of the citizens’ welfare. There are no institutional conditions for the development, a lot of problems with uncoordinated migration flows and logistic disproportions in the region. In order to solve the mentioned problems the concept and the district’s development strategic reference points are offered in the article. One of them is the organization and enhancement of regional clusters. Besides, the forward monotowns dynamics, forming the cross-industry balance, increase in the capacity of the macroregion as a transport (transit) corridor and solving the problems of logistic disproportions through updating and creating the mainstream infrastructure, as well as implementation of a funding mechanism for infrastructure projects are important
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