Elena Viktorovna Kurushina
Evolution of economic development aims: assessment of the smart growth.
Kurushina, Elena Viktorovna; Kurushina, Victoriya Alexandrovna
Authors
Victoriya Alexandrovna Kurushina
Abstract
The paper investigated the global trends of changing aims for evaluating economic development. Approaches to assessing the level of innovation are systematized. Classifications of innovations are given. The approach to the assessment of smart growth using the theory of technological way is proposed. The results of testing the authors' approach to the assessment of innovative development on the example of one of the branches of the Russian economy are presented in the article. The correlation between the specificity of the system elements and their rate of evolution is determined. The industry's innovative development forecast based on the Foresight estimates is performed.
Citation
KURUSHINA, E.V. and KURUSHINA, V.A. 2014. Evolution of economic development aims: assessment of the smart growth. Life science journal [online], 11(11), pages 517-521. Available from: https://doi.org/10.7537/marslsj111114.88
Journal Article Type | Article |
---|---|
Acceptance Date | Nov 30, 2014 |
Online Publication Date | Nov 30, 2014 |
Publication Date | Nov 30, 2014 |
Deposit Date | Feb 13, 2024 |
Publicly Available Date | Feb 29, 2024 |
Journal | Life science journal |
Print ISSN | 1097-8135 |
Electronic ISSN | 2372-613X |
Publisher | Marsland Press |
Peer Reviewed | Peer Reviewed |
Volume | 11 |
Issue | 11 |
Pages | 517-521 |
DOI | https://doi.org/10.7537/marslsj111114.88 |
Keywords | Economic development; Economic forecasting; Russia |
Public URL | https://rgu-repository.worktribe.com/output/2166800 |
Files
KURUSHINA 2014 Evolution of economic development
(240 Kb)
PDF
You might also like
Prediction of unsteady slug flow in a long curved inclined riser with a slug tracking model.
(2023)
Journal Article
Optimization of the wake oscillator for transversal VIV.
(2022)
Journal Article
Downloadable Citations
About OpenAIR@RGU
Administrator e-mail: publications@rgu.ac.uk
This application uses the following open-source libraries:
SheetJS Community Edition
Apache License Version 2.0 (http://www.apache.org/licenses/)
PDF.js
Apache License Version 2.0 (http://www.apache.org/licenses/)
Font Awesome
SIL OFL 1.1 (http://scripts.sil.org/OFL)
MIT License (http://opensource.org/licenses/mit-license.html)
CC BY 3.0 ( http://creativecommons.org/licenses/by/3.0/)
Powered by Worktribe © 2024
Advanced Search