The research has revealed connection and the influence degree of innovative and investment activi-ties on the efficiency of competitiveness management in the region. In this article, for the first time, economic and statistical methods are used to study the interaction between innovation and investment activity and competitiveness at the regional level. The Granger test and the correlation and re-gression analysis are applied for the comprehensive study of individual and joint impact on the re-gion's competitiveness and its innovation and investment activity. The Granger test provides an op-portunity to identify cause-effect relationships between the indicators of innovation and investment activity in the region. Accordingly, pairs of indicators of innovation and investment regional activity are identified and grouped together in accordance with the presence of connection, strength and direction of impact. Correlation and regression analysis are used to determine the regional impact of innovation and investment activity and competitiveness. Accordingly, the nature, the correlation ra-tio and the degree of impact of certain innovation and investment indicators on the gross regional product are determined. A three-year forecast for regional competitiveness management is carried out on the basis of the actual data of the obtained dependency models of the indicators under study.

Nowadays, development and sustainability are often combined in the analysis of regional and local processes. In this case, the definition of both competitiveness and sustainability of development require adequate interpretation and quantitative assessment. Territorial marketing is used as a tool to assess the competitiveness of a region. The main purpose of our research is to analyze the methodological and practical aspects of the sustainable development strategy of competitiveness of the Kazakhstan regions and the ways to implement it based on territorial marketing. Among the crucial indicators of territorial marketing, which this article tackles, supply chain management draws particular interest. Each indicator includes a set of criteria that best describe it. This is a 10-point rating system, where the region that showed the best result gets 10 points. It is assumed that based on the generally accepted methods the overall competitiveness can be measured, considering the competitiveness of the 5 mentioned indicators, as well as their assessment with regard to the competitiveness of their criteria. The research results showed that the aggregate indicator for all the regions is below average. The findings show that the Turkestan and Pavlodar regions are the most competitive in supply chain management, having the largest number of shipments. The overwhelming majority of Kazakhstan enterprises are small enterprises, which suggests that the logistics services market is still developing. The use of modern information technologies will optimize warehouse operations. A positive result is ensured by effective local regulation since doing business in Kazakhstan is relatively cheap. In our research, we offer some recommendations for improving the territorial indicators that determine the competitiveness of regions.