Global socio-economic trends require a dramatic acceleration of transport links. The creation of new high-speed transport systems is an urgent task, the success of the solution of which largely determines the improvement of the quality of life and the trade and economic development of states, regions, cities.
The main strategic goal of the development of the transport system is to meet the needs of society, taking into account the value of time and using innovative factors focused on the effective development of a competitive environment, offering quality transport services based on developed infrastructure, and a high level of application of innovative techniques and technologies. The Russian railways as a transport system need a good restructuring due to the fact that its qualitative characteristics, especially infrastructure, are not able to efficiently solve the existing problems of the global economy.
The aim of this article is to study perspective trends for the development of the railway sector in the context of digitalization of the economy.
This article attempts to assess the impact of the level of railway rates on the sustainable development of territories (on the example of Russia, freight and passenger rates, 2000-2018) using econometric modeling with an autoregressive model. As follows from the results obtained, in general, the statistically significant effect of the level of railway rates on the sustainable development of territories can be identified only for some indicators that assess certain aspects of sustainable development. Evaluation of the influence of the level of railway rates on integral indicators of sustainable development (on the example of the human development index) leads either to the identification of autocorrelation of the model residuals or does not give an unambiguous answer about the presence/absence of autocorrelation, which casts doubt on the conclusions on assessing the quality of the model and its coefficients.
This article is devoted to the study of improving the use of expert assessments for risk analysis, affecting the effectiveness of the implementation of a comprehensive investment project in the global instability of the economic space. The existing methods of expert assessments and Monte-Carlo simulation methods used to identify and assess the risks of investment projects are described. A systematic analysis of the main risks of investment projects in the context of globalization and risk management methods was carried out. The author’s classification of risks of investment projects using the criteria of economic efficiency has been developed. An approach to risk analysis, affecting the effectiveness of the implementation of complex investment projects based on existing methods using the concept of the “reduced” random factor, is proposed. This approach is used to analyse project implementation risks in the conditions of market instability with the development of recommendations for managing the main project risks. The author’s risk classification of investment projects is important at the stage of analysing risks arising from the study of sales markets, as well as during the management decision-making process, which minimizes the possible adverse impact on an organization, including losses caused by random events. The proposed approach can be applied to the analysis, express-analysis and risk management of long-term complex investment projects in the conditions of global instability of the economic space.
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