The level of railway rates as a factor of sustainable development of territories

Abstract

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.

Infrastructural constraints impeding the development of high-speed freight rail transportation in Russia

“…A number of works by modern scientists and economists such as Y. Egorov, N. Zhuravleva, M. Poliak, V.A. Manova, A.S. Lebedeva, C. Blanquart, M. Koning and others, confirm that the use of high-speed trains for freight transportation is very promising [2][3][4], but the presence of the following infrastructure limitations is revealed:…”

“…Based on the results of the literature analysis [2][3][4][5], it can be concluded that the main type of problems hindering the development of the high-speed freight transportation market consists in technical and technological barriers, and the lack of full and timely financing of development projects in progress.…”

Analytical model of reliability of the freight rail transportation forecasting system

“…The parameters of modeling the demand for rail transportation, taking into account structural changes affecting the activities of the main sectors of the national economy [11], can significantly improve the analytical base for the development of freight forecasts. In general, a significant amount of research indicates the importance of finding optimal solutions when predicting the volume and structure of cargo transportation in the current instability of the transport services market and numerous logistical sanctions restrictions [12,13].…”