Margarita V Kurbatova
Biographic Data
| ID | 938144 |
|---|---|
| NAME | Margarita V Kurbatova |
| GIVEN NAMES | Margarita V |
| FAMILY NAME | Kurbatova |
| SIGNATURE | KURBATOVA M V |
| VERIFIED | No |
| TOTAL WORKS | 2 |
| TOTAL CITATIONS | 0 |
| WORKS AS AUTHOR | 2 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2019 |
| LATEST PUBLICATION YEAR | 2021 |
| H-INDEX | 0 |
Development of Russian Resource-Type Regions
The paper examines the dynamics of the level of resource dependence in the resource-type regions of Russia from 2005 to 2017. The classification of regions is based on the authors’ two-factor classification model using the share of the extractive sector in the GRP and the ratio of the extractive sector to the manufacturing industry. Exploiting the method of fuzzy classification and calculating a comprehensive assessment of resource dependence, th…
Higher Education in Resource-Type Regions
Currently, attention to regional economies of resource type is on the rise. Many papers dealing the “resource curse” problem discuss the mechanisms forming a trap of human capital underdevelopment. This article is an attempt to find out whether resource dependence of the region affects the development of regional higher education systems and the characteristics of high-quality accumulated human capital. The basis for this study is a fuzzy typolog…
No prominent works on this page.
Higher Education in Resource-Type Regions
Currently, attention to regional economies of resource type is on the rise. Many papers dealing the “resource curse” problem discuss the mechanisms forming a trap of human capital underdevelopment. This article is an attempt to find out whether resource dependence of the region affects the development of regional higher education systems and the characteristics of high-quality accumulated human capital. The basis for this study is a fuzzy typolog…
Development of Russian Resource-Type Regions
The paper examines the dynamics of the level of resource dependence in the resource-type regions of Russia from 2005 to 2017. The classification of regions is based on the authors’ two-factor classification model using the share of the extractive sector in the GRP and the ratio of the extractive sector to the manufacturing industry. Exploiting the method of fuzzy classification and calculating a comprehensive assessment of resource dependence, th…
Computer Science (2 works) · Economics (2 works) · Geography (2 works) · Regional Economic Development and Innovation (2 works) · Resource dependence theory (2 works) · Business (1 work) · Cartography (1 work) · Economic and Technological Developments in Russia (1 work) · Economic and Technological Innovation (1 work) · Economic geography (1 work)