Measurements in the space of regional indicators
Methodology, techniques, and results
Bibliographic Data
| ID | 21219480 |
|---|---|
| Authors | S A Suspitsyn (Institute of Economics and Industrial Engineering, corresponding author) |
| Year | 2015 |
| Volume | 5 |
| Issue | 3 |
| Pages | 223-235 |
| Publication date | 2015-07-01 |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Regional Research of Russia (JOURNAL) |
| Journal identifiers | ISSN: 2079-9713 • E-ISSN: 2079-9705 |
| Publisher | Pleiades Publishing Ltd (PUBLISHER) |
| DOI | 10.1134/s2079970515030090 |
| OpenAlex | W2296801326 |
| Language | EN |
| Citations received | 1 |
| References cited | 2 |
The paper describes approaches to constructing development indicators for reliable interregional comparisons of the Russia’s multiregional system Methods are proposed for identifying stable topological structures in the space of regional indicators, for constructing a regularized system of regional clusters, and for analyzing transitions between clusters. Principles and methods for compiling a genetic scenario outlining the development of Russia’s multiregional system based on an evolutionary approach are formulated. Vectors of predictive development indicators of Russian regions up to 2030 have been calculated. A regular drift pattern for the cloud of regional indicators (changes in configuration, depth, and structure of the clusters) is identified. The methodology in this article is a coherent attempt at synthesizing individual problems of analyzing and predicting regional development and measuring regional differences in a comprehensive technique to estimate spatial transformations in the economy
Economic geography · Economics · Geography · Regional science · Computer Science · Regional Development and Policy
| Citations per year | 0.5 |
|---|---|
| Citation span | 2024 - 2024 (1) |
| Highly cited | No |