
doi: 10.17059/2014-3-1
The article presents the results of the research of development trends of the Russian Federation subjects for 2000-2012. The analysis is based on the methodology, developed in the Plekhanov Russian University of Economics. The basis of the analysis was set not with formal estimation of the situation in the regions, but via the characteristic of the situation, developing within their borders from the position of potential investors and the provision of qualified specialists. The research has been undertaken within three years. The research made it possible to define 4 groups of the Russian Federation subjects, which within 12 years steadily include subgroups of regions with ascending, descending trends, and regions without the certain trend of the situation changes. It proves the necessity to distinguish the development of regional economy and process their growth. The second conclusion is the limited meaning of the rating estimations, not allowing to make definite management decisions. The third conclusion is the necessity of perfection of the state regional policy on the basis of typification of the Russian Federation subjects, basing not only on the levels of their socio-economic development, but as well on the exciting factors of this development
Regional economics. Space in economics, region, HT388, DEVELOPMENT TRENDS OF THE REGIONAL ECONOMIES, RATING, rating, REGION, development trends of the regional economies
Regional economics. Space in economics, region, HT388, DEVELOPMENT TRENDS OF THE REGIONAL ECONOMIES, RATING, rating, REGION, development trends of the regional economies
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 6 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Top 10% | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
