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Statistical Research and Modeling of Digital Technologies and Innovations Impact on Energy Industry

Student: Dilara Gainullina

Supervisor: Marina Arkhipova

Faculty: Faculty of Economic Sciences

Educational Programme: Economic Analysis (Master)

Year of Graduation: 2024

Topic: "Statistical research and modeling of the impact of digital technologies and innovations on energy development" The scientific work is devoted to the analysis of the current state of the energy sector in the Russian Federation, and also examines the impact of digitalization and technological innovations on this sector. The study provides an analysis comparing the level of digitalization of Russian energy with world leaders and lagging countries in this area. The energy intensity and energy efficiency of the GDP of the Russian Federation and the level of employment of the population are analyzed using correlation analysis and linear regression, and the impact of these parameters on the country's economy is also considered. In the last chapter, an indicator illustrating the proportion of energy obtained from alternative sources was added to the analysis and correlation analysis and modeling using the ARIMA method were conducted. The paper also examines the prospects for the development of the industry, which may be useful for designing a development strategy in the energy sector in Russia.

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