- PII
- S042473880000616-6-1
- DOI
- 10.7868/S0000616-6-1
- Publication type
- Article
- Status
- Published
- Authors
- Volume/ Edition
- Volume 52 / Issue 1
- Pages
- 28-44
- Abstract
- Based on the author's methodology econometric model production potential of Russian regions is built, taking into account evaluation intellectual capital and the characteristics of the factors of efficiency, determining the willingness to innovate. In the development of the results which were presented by the authors in (Makarov et al., 2014), the estimates of technical efficiency of production for all regions for the period 2009-2013 were got. Econometric models of the production potential for groups of regions that are comparable in the structure of industrial production were built. The resulting estimates of technical efficiency for regions within each group were got. Hypothesis' testing was conducted, which allows to compare estimates of the effectiveness of the region, obtained from the model with the relevant group the estimates based on the model constructed for the entire set of regions. It is shown that the increase in the elasticity of GRP by volume of intellectual capital is observed for the regions which are included into the base group, the “processing” and “agriculture” regions, and also in the model constructed for the entire set of regions. It is established that the model constructed for the entire set of regions, can be used to obtain local estimates of the efficiency of regions of the base group. Local evaluation of the efficiency of the regions in the other groups, it is advisable to obtain appropriate models. The General model of the production potential correctly describes efficiency's time trends, which was estimated by model of production potential of the regions of each group. Therefore, the General model can be used to simulate the dynamics of regions' efficiency.
- Keywords
- regional economy, econometric modeling, hypothesis testing, stochastic frontier, efficiency estimation
- Date of publication
- 01.01.2016
- Year of publication
- 2016
- Number of purchasers
- 1
- Views
- 1269