Spatial modelling of the impact of developed advanced production technologies on industrial production in Russian regions

The purpose of the study is spatial modeling of the impact of developed advanced production technologies on the volume of mineral extraction, manufacturing industries, and power generation in Russian regions. The SAR and SEM models, as well as global and local Moran index, have been applied. The volumes of developed advanced production technologies, mining, manufacturing industries, and electricity generation for 2022 have been considered as the variables under study. It has been found that the processes of advanced production technologies development affect the manufacturing industries and electricity generation. The spatial autocorrelation coefficients analysis showed that in the processes of developing advanced production technologies, mining, manufacturing, and electricity generation regions form clusters, and there is a positive spatial autocorrelation. Russian regions have been classified using the local Moran index, which allowed us to identify growth poles, high values clusters, territories influenced by these clusters, and territories with a low value of developed advanced production technologies, manufacturing industries, and electricity generation. The negative value of the spatial autocorrelation coefficient in the SAR model showed that an increase in the amount of developed advanced manufacturing technologies in one region leads to a decrease in their level in another one. It indicates spatial heterogeneity of the processes of advanced technologies development in the regions.