IntroductionCompetitiveness is a multidimensional characteristic of the quality of a region's socioeconomic space. It determines the efficiency of regional resources' use and it is reflected by the improvement of the quality of life in a region. Innovation is often considered as a driver of competitiveness, or at least as a significant contributor to it. Innovation patterns change both gradually and drastically, yet they always depend on the global phenomena that drive the change. Further way down to regions or enterprises, the propagation of innovation impact depends on the object-specific features such as innovation receptivity and preparedness, on the one hand, and resistance to change, on the other hand.Economic competitiveness is a complex phenomenon that is addressed to on different levels, including national and regional levels. The problem of intranational competitiveness is relevant to federations with a multitude of entities -regions that are often characterized by significant differentiation and asymmetry determined both by natural, historical and cultural, and synthetic factors. The existing factor differences make uniform policies inappropriate to address the issues of a given region thus diluting resources and, quite often, further fertilizing the asymmetry. Still, the general path of innovation can be considered fruitful for every region, but the content and drive of innovation need to be different, which means it must be identified and measured.Methodology advances in measuring competitiveness fall out of the scope of our research. Quite sure, another attempt to propose a new metric for any level of competitiveness will highly likely replicate an existing approach or clarify it by eliminating its critical drawbacks. Furthermore, many authors are focused on the issue of competitiveness assessment using complex indicators, while instruments to enhance it are the matter of a much moderate discussion. We introduce an instrumental way to get an informative measure of competitiveness with a higher extent of explanatory power. To do that, we employ an integral 159 Abstract: Our research addresses regional competitiveness as the function of innovation activity. We use 15 indicators to cluster the Russian regions in five different groups, and to propose and to estimate the composite competitiveness quotient of a region in order to further regress it by innovation activity indicators. We prove that different groups of regions -"potential competitiveness leaders", "traditional competitiveness factor employers", "competitiveness outsiders", "moderate competitiveness regions", "competitiveness leaders" -are prone to respond to innovation parameters change in a different manner, thus uniform regulation and strategies are irrelevant. We contribute to the methodology of regional competitiveness estimation by presenting a ready-to-deploy set of data structures and model propositions. Our measure of competitiveness is economy related and easily adjustable regarding the specific innovation phenomena that influence t...