This article explores the potential of firm-level taxonomies of innovation behavior for analysis of structural changes within national innovation systems. Dynamic allocation of the heterogeneous types of actors is considered as a bridge between the discussion on institutional change and studies of the persistence of innovation at the firm level. Seven innovation taxonomies are constructed on the firm-level data on Russian industry, 2002–2012. Derived meso-level trends prove the robustness of the firm-level innovation modes over time and their capability of capturing the bounded change. For the case of the Russian Federation, the analysis emphasizes the absence of systemic change in the innovation-related incentives and reward mechanisms, but also the learning processes at the firm level, particularly, growing sophistication of the networking.
This paper examines the relative roles of region-specific and commodity-specific developments in the consumer price setting in Russia. For this purpose, we estimate a dynamic hierarchical factor model using inflation rates across regions and sectors. We found little evidence of association between region-specific factors and inflation developments, although there are several regions (mostly located in the Far East and North Caucasus) where the idiosyncratic component may contribute substantially. Conversely, the role of cross-commodity relative price changes in inflation developments in Russia is substantial.