The article presents a methodological approach to assessing the impact of concentration effects on innovative development at the regional level. The concentration of innovative development factors in regional systems generates effects that can affect innovation activity. The effects are assessed through a system of indicators reflecting these factors. We identify three groups of concentration effects: institutional, socio-demographic and economic-financial. The study tests the hypothesis of the greatest influence of concentration effects for regions with a lower level of innovative development. The dependent variable is the indicator of innovation productivity, defined as the volume of innovative goods, works and services per 10,000 employees. We carry out quantitative assessment of the influence of concentration effects for regions with different levels of innovative development on the basis of quantile regression for 85 Russia’s constituent entities for the period from 2000 to 2021. The method uses the logarithmic form of the production function of knowledge, which makes it possible to take into account the direction of the influence of concentration effects. We have obtained statistically significant results on the results of approbation of the proposed methodology. Regions with a low level of innovation activity are more sensitive to the positive impact of entrepreneurial and negative impact of financial and social effects of concentration, while regions with a high level of innovation development – to positive demographic effects. We group the regions according to the level of innovative development. For each group we identify the concentration effects influencing innovative regional activity. The results obtained in the study can be taken into account in the framework of updating and justifying the strategies of socio-economic development of the constituent entities of the Russian Federation. In the future we plan to expand the model and include the digital effect
Keywords
innovative development, regions, econometric modeling, regional factors, concentration effects