The article investigates the interaction of the forms of network integration and the development of complimentary production networks in terms of economic security. Currently, the most developed countries are occurring a transition from the industrial society to the information society. The industry 4.0 as the continuous communication at all levels and characterizes the production processes, in which technologies and devices interact automatically in the value-added chain. Under these new conditions, the former types of organizational structures of economic entities are not sufficiently effective. Therefore, there is a need to create new, modern types of organizational structures. One of these types is network structures. Currently, they are becoming characteristic features of the new economy. Regional economic security depends on internal and external threats, which lead to unstable situations. Regional crisis situations are influenced by both macroeconomic crisis processes and local features of economic and social development, as well as the resource potential, geographical location, national and other peculiarities. The article defines the specific characteristics of the regions of the Ural Federal District, as well as the current situation of the regional economy and threats to the region. The authors have evaluated the economic security of complimentary production networks at the regional level. This evaluation has revealed the interconnection between complimentary production networks and the construction industry in the national economy. We have defined the economic security of complimentary production networks and specified the concept of complimentary production networks. The research findings may be applied by organizations as a new perspective of industry using network forms related to economic security.

The article develops the methodological approach to coordinating the priorities of scientific , technologica l an d spatial development of regions. The relevance of the study is due to the significance of choosing the benchmarks for the transformation of regional economic systems. These systems are based on the principles of harmonisation of the social and economic interests of individuals, business entities, territories of different levels, and modern prospects for the development of science and technology. The study aims to substantiate the methodology for assessing and selecting priorities for coordinating scientific, technological and spatial development of the economies of industrialised regions. The methodology is based on a combination of the individual territories’ interests due to their joint participation in integrated investment projects of interregional significance. We applied general scientific methods of theoretical and empirical knowledge, including a causal method, a method of analysis and synthesis, a method of scientific abstraction. We substantiated the role of macro-regions in the process of integration of the local territories’ initiatives with the national development guidelines. Then, we identified the characteristics of integrated investment projects with significant potential, which can be the basis for determining the criteria for assessing and selecting projects and project initiatives proposed for implementation at the supra-regional level. Further, we offered an algorithm for developing an integrated investment project that determines the sequence of events. Such events allow realisation of opportunities of scientific and technological development available for industrialised regions, taking into account the priorities of their spatial transformations. We tested the algorithm using the industrial Ural-Siberian macro-region as an example, identifying key aspects of the “Ural Highway” pilot project. A specific feature of the developed approach is the proposal of a “bipolar” system for determining priorities. It allows integration of the national guidelines for scientific, technological and spatial development with the prospects for transformation defined by individual territories (industrialised regions). Th e propose d approac h ca n b e use d t o substantiat e proposal s and strategic measures aimed at implementing the priorities of spatial development and the development of science and technology in industrialised regions.

The article examines the effective use of space information technologies in regional development. The study aims to assess and predict the influence of cross-industry information innovations of the space industry on economic growth of the Russian regions. We formulated and tested a hypothesis on the possibility of simulating the effects from the implementation of the space technologies of a Geographic Information System (GIS) in economic sectors. The research focuses on geoinformation and navigation GIS technologies provided by the space industry for the regional and sectoral development. We used the geoinformation approach for assessing, monitoring and predicting the socio-economic development of the regions. We showed that currently a new class of regional economic and mathematical models is emerging. They are based on neogeography, which is a novel method of reporting economic information. In the context of digitalization, finding new sources of regional economic growth is a relevant task. Using space infrastructure and its information to solve the regions’ economic problems can become such a source. A number of economic growth models demonstrated that, in the short term, labour productivity can grow due to an increase in the competence level in using space information. In the long term, this growth can be caused by increasing the body of space evidence, improving the quality of its economic processing, and developing technologies for using this information for managing regional economic processes. We have considered the effects from using cross-industrial information innovations of the space industry in the Russian industrial regions. Moreover, we rated the industries in accordance with the intensity of the use of space GIS technologies. Further, we have compared the obtained results with the structure of the industrial regions’ gross regional product. We came to a conclusion that in the context of an active digitization of key industries based on GIS technologies, the economic growth of the industrial regions will be determined by total factor productivity connected with the effects from the introduction of such technologies.