Development of multifactor dynamic model of forecasting of scientific migration

التفاصيل البيبلوغرافية
العنوان: Development of multifactor dynamic model of forecasting of scientific migration
المؤلفون: Sudakova, A. E., Tarasyev, A. A.
المصدر: AIP Conf. Proc. ; AIP Conference Proceedings
بيانات النشر: American Institute of Physics Inc.
سنة النشر: 2020
المجموعة: Ural Federal University (URFU): ELAR / Уральский федеральный университет: электронный архив УрФУ
مصطلحات موضوعية: BEHAVIORAL ECONOMICS, BIBLIOMETRIC ASSESSMENT, BIG DATA, BRAIN DRAIN, DATA MINING, DYNAMIC MODEL, OPTIMIZATION, SCIENTIFIC MIGRATION
الوصف: The quality of human capital plays the key role in the technological and economic development of modern societies. On the current stage, many countries require highly skilled specialists due to a razing intensity of knowledge in technology. This is explained by the fact that highly skilled specialists contribute to the acceleration of knowledge accumulation, innovation implementation, and lead to the development of socio-economic development due to a higher level of economic activity. Therefore, to provide the country's development and competitiveness at the global level, it is important to maintain the academic exchange and to attract highly skilled specialists. Russia has a number of peculiarities in the migration process of highly skilled specialists. On the one hand, the country is experiencing the consequences of mass emigration of highly skilled specialists in the 20th century; on the other hand, it has a low ability to attract qualified specialists from other countries due to the specifics of the development of the socio-economic system. Features of socioeconomic development of the country lead to the fact that currently in Russia obtain a unidirectional nature of the migration process of highly qualified personnel. Migration on a permanent basis and the mobility of the scientist has a different impact on the domestic science, on the increment of its intellectual capital. To solve effectively the problem of scientific emigration, it is necessary to assess the potential of scientific emigration and to be able to assess and predict the scale and direction of potential flows of scientific migration. The existing models and model complexes take into account macroeconomic dependencies to the detriment of the description of individual behavior, which limits the applicability of models to describe migration in a changing market environment. Due to the lack of a model complex that allows describing the variable dynamics of scientific migration between the labor markets at the macro level and scientific ...
نوع الوثيقة: conference object
وصف الملف: application/pdf
اللغة: English
ردمك: 978-0-7354-4025-8
0-7354-4025-5
تدمد: 0094243X
Relation: info:eu-repo/grantAgreement/RSF//19-78-00080; Sudakova A. E. Development of multifactor dynamic model of forecasting of scientific migration / A. E. Sudakova, A. A. Tarasyev. — DOI 10.1063/5.0027280 // AIP Conference Proceedings. — 2020. — Vol. 2293. — 120009.; Final; All Open Access, Bronze; https://www.scopus.com/inward/record.uri?eid=2-s2.0-85097994599&doi=10.1063%2f5.0027280&partnerID=40&md5=6ff1d817040cd7c8d11ffd4315a5b9b2; http://elar.urfu.ru/handle/10995/103348; 85097994599
DOI: 10.1063/5.0027280
الاتاحة: http://elar.urfu.ru/handle/10995/103348
https://www.scopus.com/inward/record.uri?eid=2-s2.0-85097994599&doi=10.1063%2f5.0027280&partnerID=40&md5=6ff1d817040cd7c8d11ffd4315a5b9b2
https://doi.org/10.1063/5.0027280
Rights: info:eu-repo/semantics/openAccess
رقم الانضمام: edsbas.90225E77
قاعدة البيانات: BASE
الوصف
ردمك:9780735440258
0735440255
تدمد:0094243X
DOI:10.1063/5.0027280