- PII
- S042473880000003-2-1
- DOI
- 10.7868/S0000003-2-1
- Publication type
- Article
- Status
- Published
- Authors
- Volume/ Edition
- Volume 54 / Issue 1
- Pages
- 43-51
- Abstract
- The author propose the method of ranking the regions’ economy using the technical efficiency estimates. It is assumed that such estimates can be theoretically justified using the production capacity model constructed for a group of regions with homogeneity properties. At the same time, technical efficiency evaluations are not comparable for the regions from different homogeneous groups. It is quite natural to build a common model for all the regions to obtain comparable estimates. However, the ranks of the estimates of technical efficiency for the regions of a certain group obtained from such a model do not necessarily correspond to the ranks of estimates obtained from the group model. In this case, the ranking of all the regions by estimates of the general model is not entirely correct. The method presented in this paper makes it possible, with the usage of the optimization model, to obtain corrected estimates that are minimally different from those obtained from the general model, whose ranks correspond to the ranks of the estimates obtained from group models. Based on the adjusted estimates, the main problem is solved – general rating is constructed, corresponding to the ratings of the regions of each homogeneous group.
- Keywords
- regional economy, econometric modeling, stochastic frontier, technical efficiency estimation
- Date of publication
- 14.11.2018
- Year of publication
- 2018
- Number of purchasers
- 15
- Views
- 2538
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References
- 1. Aivazian S.A., Afanasiev M.Yu. (2014). Development of Production Capacity on the Basis of the Stochastic Frontier Concept: Methodology and Results of Empirical Analysis. Moscow: KRASAND (in Russian).
- 2. Aivazian S.A., Afanasiev M.Yu., Kudrov A.V. (2016a). Models of Productive Capacity and Technological Efficiency Evaluations of Regions of the Russian Federation Concerning the Output Structure. Economics and Mathematical Methods, 52, 1, 28–44 (in Russian).
- 3. Aivazian S.A., Afanasiev M.Yu., Kudrov A.V. (2016b). Clusterization of Russian Regions Based on the Industry Production Structure. Applied Econometrics, 41, 24–46 (in Russian).
- 4. Aivazian S.A., Fantaccini D. (2014): Econometrics‑2. Moscow: Infra-M (in Russian).
