Comparative Analysis of Results of Assessing the Central Federal Distict´s Regions´ Economic Development by Using Linear and Non-Linear Models

Roman Zhukov, Gennadiy Kuznetsov, Sergey Gorodnichev, Evgeniy Manokhin, Ekaterina Nazyrova, Elena Melay

Comparative Analysis of Results of Assessing the Central Federal Distict´s Regions´ Economic Development by Using Linear and Non-Linear Models

Číslo: 3/2019
Periodikum: Statistika

Klíčová slova: Indicators, gross domestic product by region, modeling

Pro získání musíte mít účet v Citace PRO.

Přečíst po přihlášení

Anotace: This paper provides a comparative analysis of results of estimating specific efficacy that characterizes the amount of gross regional product depending on expenditure on technological innovations, the fixed capital and the average annual number of persons employed. This approach includes comparison of actual data with normative values calculated for three types of models: linear, logarithmic, and power multiplicative. The particular performance indicator is determined as a relation between actual and normative values for the Russian Federation’s Central District’s regions. The investigation’s information base was statistical data on the regions of the RF CFD for 2007–2016. The issues under discussion are differences in results of evaluation obtained in using the first, second and third type models.