Abstract

Introduction. Energy is an essential branch of the economy, which needs not only reconstruction but effective, innovative solutions, one of which is the wide implementation of digital technologies. It is important to investigate possible cross-industry changes to adjust macroeconomic scenarios of industry development. The purpose of the study is to assess the degree of influence of the introduced 'smart' technologies in the energy industry on the level of inter-industry relationships according to the developed algorithms of the econometric and static Input-Output models. Results. The main consequence of calculations according to the proposed methodology is the possibility of assessing the impact of the introduction of 'smart' technologies on structural dynamics in the energy sector. However, the statistical data for the selected time interval is not enough for analysis by types of renewable energy. Since the share of 'green' energy in the total amount of energy produced remains insignificant, its influence on the accumulation of 'smart' technologies is insufficient. Conclusions. The analysis of statistical calculations allows us to state that the increase in 'smart' technologies implementation in the energy industry of Ukraine has a direct functional impact, albeit insignificant, and demonstrates the positive dynamics in the IT services inter-industry use. The negligible impact is caused by reduced allocations for the renewal of fixed assets in traditional energy sectors. There is a certain use of the latest technologies in the field of renewable energy sources, but their share in the energy structure is insignificant, although it has positive dynamics. Calculating the macroeconomic scenarios of the industry development according to the direct and inverse Input-Output models, which are promising for developing economic equalization measures in the energy sector, remains relevant. Keywords: econometric model of Input-Output tables, direct and dual problems of the IO model, inter-industry flows, types of economic activity, regression analysis.

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