Assessment of a Country's Regional Economic Development on the Basis of Estimation of a Single Process (ESP) Method
Objective: The objective of this article is to demonstrate an option of quantitative assessment of the status of an isolated complex target object. Research Design & Methods: Review of scientific literature, an analysis of statistical data and methods applied in the theory of multiple criteria...
Saved in:
| Main Authors: | , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Cracow University of Economics
2015-06-01
|
| Series: | Entrepreneurial Business and Economics Review |
| Subjects: | |
| Online Access: | https://eber.uek.krakow.pl/index.php/eber/article/view/86 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| Summary: | Objective: The objective of this article is to demonstrate an option of quantitative assessment of the status of an isolated complex target object.
Research Design & Methods: Review of scientific literature, an analysis of statistical data and methods applied in the theory of multiple criteria have been used for the purpose of this research.
Findings: The calculations have revealed that the proposed methodology is suitable for addressing real tasks. This methodology allowed the identification of unused potential of economic development in each region.
Implications & Recommendations: The proposed methodology can be applied to determine the current situation of regional economic development of a country. This could help plan the investment for country regional development .
Contribution & Value Added: Up to now the goal of multi-criteria valuation was to determine the priority of analysed variants. In order to determine the economic development of separate regions during the period in question, a different method of normalisation of values was employed than the one normally used in multi-criteria valuations. The originality of this work lies in the assessment of the status of an isolated process at a given moment of time.
|
|---|---|
| ISSN: | 2353-8821 |