Modeling and evaluating the effectiveness of innovation policy in the regions of Russia based on the data envelopment analysis method

The article is devoted to the development of the DEA (Data Envelopment Analysis) model to determine the effective regions of the Russian Federation from the standpoint of the implementation of innovation policy, as well as the formation of recommendations for optimizing indicators that characterize the innovation potential of the identified "ineffective" subjects. Approbation of the proposed assessment toolkit was carried out on the example of the regions of the Russian Federation on the basis of the Open Source DEA software; study period 2019; information base - open statistical data of the Federal State Statistics Service of the Russian Federation. To carry out the data analysis procedure using the Open Source DEA program, the following steps have been sequentially implemented: 1) selection of input and output parameters and preparation of a dataset; 2) the choice of the DEA model; 3) interpretation of the solution of the model. As a result, an input-oriented DEA model was selected that calculates technical efficiency assuming variable returns to scale. Subsequent ranking of subjects by the degree of efficiency was carried out in order to identify "model" regions. Specific assessments of desirable changes in inputs/outputs have been formed, which would allow bringing “ineffective” regions to the so-called efficiency frontier.