ВЛИЯНИЕ КРОСС-ИНДУСТРИАЛЬНЫХ ИНФОРМАЦИОННЫХ ИННОВАЦИЙ КОСМИЧЕСКОЙ ОТРАСЛИ НА ЭКОНОМИЧЕСКИЙ РОСТ В РЕГИОНАХ РОССИИ
Influence of Cross-Industry Information Innovations of the Space Industry on the Economic Growth of the Russian Regions

Summary/Abstract: 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.

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