the article examines the problem of limitations of existing rating models in forecasting and analyzing the development of innovation processes in a regional context due to limited possibilities for integrating various factors, such as educational systems and financial instruments. The need to develop and implement new forecast models that take into account multiple aspects related to education and the financial component of regional development is emphasized. The study also addresses the importance of socio-economic development in determining the readiness of regions to introduce innovations and create an innovative economic environment. The article presents an analysis of the factors influencing the innovative development of regions, with an emphasis on the level of monopolization of the market environment as an important factor affecting the dynamics of innovation, and also puts forward proposals for stimulating technological innovation and ensuring their financial support to improve financial stability at the state and regional levels. Using econometric modeling methods, the authors assess the impact of various variables. Studying the impact of these factors on the dependent variable allows us to determine their significance for the economic process and the development of resource management strategies. It is shown that investments in innovative research, human resources, educational structure and technological parameters of production have a significant impact on innovative activity. The study is conducted using econometric modeling techniques, including multiple linear regression and short regression models to identify significant factors. Models are checked for compliance with the conditions of the Gauss-Markov theorem, heteroscedasticity and autocorrelation of residuals using appropriate statistical tests. The results of the analysis confirm the statistical significance and adequacy of the models, and also allow us to identify key factors. At the same time, opportunities for improving the coordination of actions to develop the innovative potential of regions are identified based on the results of econometric modeling.