Evaluation of Technical Efficiency of Regional Innovation System on the Basis of DEA Modeling

Nowadays, one of the key conditions for regional development is formation and effective use of its innovative potential. The quality of regional innovation policies and special programs for regional development is influenced by the choice of methods for evaluating this indicator. In the framework of increasing the innovation potential of Russia, it is important to take into consideration the conditions of differentiation of regional structures and to allocate available financial, human, and other resources accordingly. Identifying the main parameters for evaluating technical efficiency of the innovation potential in regional structures will help to increase the degree of rationality in allocating budget funds and organizing the management system, which explains the relevance of this study. The purpose of this study is to evaluate technological efficiency of the regional innovation system on the basis of DEA modeling. A single-step input-oriented DEA model was used for the analysis. R-Studio and Stata14 were used as software products for the analysis. The data from the report of the Federal State Statistics Service for the period of 2009-2017 were collected. The conducted DEA analysis allowed identifying 4 groups of regions in relation to the level of technological efficiency. The regression analysis showed that the following indicators should be used as input data for the model: internal expenditures on R&D; a number of educational institutions; and expenditures on technological innovations. A further focus of the study will be to expand the model by identifying parameters that can interpret the level of technological efficiency of a regional innovation system, taking into consideration the conditions of differentiation of regional development. The results of this study can be used to design and improve innovative development programs for the regions of the Russian Federation.