Correlational-regression analysis application for the forecast of the specialists with higher education requirement in Russian economy

Detaylı Bibliyografya
Parent link:International Journal of Economics and Financial Issues: International Academic Journal
Vol. 6, iss. 2.— 2016.— [P. 617-620]
Müşterek Yazar: Национальный исследовательский Томский политехнический университет Институт социально-гуманитарных технологий Кафедра менеджмента
Diğer Yazarlar: Potekhina N. V. Nina Vasiljevna, Shulinina Yu. I. Yuliya Igorevna, Kuzmina N. G. Nataliya Gennadjevna, Sannikova I. A. Inessa Anatoljevna, Potalitsyna L. M. Lyudmila Mikhaylovna
Özet:Title screen
The present study was intended to investigate a hypothesis about the impact of the following parameters: dynamics of gross domestic product, dynamics of fixed assets, dynamics of labour productivity, dynamics of the level of remuneration and dynamics of fixed asset investments on the number of employees with higher education in Russia. The correlational-regression analysis confirmed the influence of dynamics of fixed assets on the number of employees with higher education. Also authors have generated the forecast about future demand for specialists with higher education and dynamics of fixed assets for the period from 2015 to 2025 years.
Dil:İngilizce
Baskı/Yayın Bilgisi: 2016
Konular:
Online Erişim:http://www.econjournals.com/index.php/ijefi/article/view/1947
Materyal Türü: Elektronik Kitap Bölümü
KOHA link:https://koha.lib.tpu.ru/cgi-bin/koha/opac-detail.pl?biblionumber=649806
Diğer Bilgiler
Özet:Title screen
The present study was intended to investigate a hypothesis about the impact of the following parameters: dynamics of gross domestic product, dynamics of fixed assets, dynamics of labour productivity, dynamics of the level of remuneration and dynamics of fixed asset investments on the number of employees with higher education in Russia. The correlational-regression analysis confirmed the influence of dynamics of fixed assets on the number of employees with higher education. Also authors have generated the forecast about future demand for specialists with higher education and dynamics of fixed assets for the period from 2015 to 2025 years.