SWS Academic Research eLibraryEarth & Planetary Sciences

Scholarly record

A COUNTRY COMPETITIVENESS ANALYSIS. ADL-MODEL INVOLVED.

Nikolay Didenko

First published: 2018-06-20https://doi.org/10.5593/sgem2018/5.3/s28.001View metrics

Abstract

The article analyzes how the main factors influence the competitiveness of the economy. In constructing the model, three assumptions are introduced: a) there is a prehistory of the process, i.e. the variables that evaluate the competitiveness of the economy at the time t, also affect the values of previous periods; b) there is a mutual influence (interdependence) between the variables that evaluate the competitiveness of the economy; c) the variables that evaluate the competitiveness of the economy are influenced by internal and external factors. The national economy competitiveness model is a system of four interconnected econometric equations. The article selects the following endogenous variables that evaluate the competitiveness of the national economy: the volume of GDP per capita; the volume of industrial production; the volume of exports by national companies; the index of human development. The article describes the method of finding the coefficients of interconnected econometric equations.

Publication Impact Profile

PlumX
  • Citations
  • Scopus - Citation Indexes: 35
  • Captures
  • Mendeley - Readers: 7

Publication details

Title
A COUNTRY COMPETITIVENESS ANALYSIS. ADL-MODEL INVOLVED.
Authors
Nikolay Didenko
Proceedings
SGEM International Multidisciplinary Scientific GeoConference EXPO Proceedings; 18th International Multidisciplinary Scientific GeoConference SGEM2018, Ecology, Economics, Education and Legislation
Publisher
STEF92 Technology
Year
2018
Pages
3-10
SWS Citekey
Didenko201821310
ISSN
1314-2704
ISBN
978-619-7408-48-5
Language
en
Publication type
Conference Paper
Keywords
References0
0references registered for this publication

Structured references will appear here after the reference import pass. The count is preserved now so the scholarly record is not incomplete.

View or Download full articleAccess options
Full paper accessChoose SWS login, librarian support, or instant article download.

SWS access login

Login as SWS Scientific Committee

Authors and approved SWS contributors will read and export their own linked papers after identity matching by SWS profile, email and SGEM GlobalID.

For librarian assistance: [email protected]

Purchase Instant Access

48-hour online accessComing soon
Online-only accessComing soon
Download the full article in PDF formatEUR 35
  • Article can be downloaded after successful payment.
  • Article may be used according to SWS library access terms.
  • Article cannot be redistributed.
Get full paper

Back to publication list