Polina A. Tuktarova, Irina V. Dmitrieva, Diana I. Yaltonskaya

Irkutsk state agrarian university named after A.A. Ezhevsky, Ufa university of science and technology

The article discusses key indicators for assessing the efficiency of the region's innovation infrastructure
using regression analysis.
The work highlights the stages of forming a system of key KPI indicators. The first step was to define goals and objectives for creating a multi-level system of KPI performance indicators. The second step is to determine the key indicators for further analysis in order to explore which indicators may reflect the effectiveness of the region’s innovation infrastructure. For the article, the following indicators were selected: the level of innovation activity in the region (x1), the number of new jobs created in the innovation sector (x2), the volume of innovative products or services launched on the market (x3). The third step was to collect data on selected indicators and then select a research method - regression analysis.
The article examines the process of forming a multi-level system of key indicators (KPIs) to assess the effectiveness of regional innovation infrastructure. The main components of the innovation infrastructure were identified, and indicators for each of them were determined.
A regression model was used as the main method of analysis, which made it possible to identify the most significant factors influencing the development of innovation infrastructure. The main conclusion of the article is that the development of a multi-level KPI system is a necessary condition for the effective management of innovation infrastructure and achieving goals in this area.

key indicators, KPI, multi-level system, innovation infrastructure, multiple regression