Abstract:
Object: The main aim of the research is to analyze and investigate the performance management of companies in
transportation industry in the context of the Republic of Kazakhstan. In terms of the research, the authors analyze such
variables as oil prices, turnover of passenger rates, currency and its exchange rate, flow of investments in transportation
industry, Gross domestic product and trends of export.
Methods: The authors apply quantitative analysis with the help of using the data from the official web-sites, as
World Bank Data, etc., for the period from 2014 till 2023. The use of data allows the authors to analyze and assess the
impact of different variables on PVI in transportation industry (physical volume index). There was constructed a multiple
linear regression model in order to provide an in-depth analysis of this relation.
Findings: The results of the multiple regression model indicates a strong positive relation between PVI index and
oil prices. This shows that oil price fluctuations have an impact on transportation’s industry performance in general.
Moreover, passenger turnover has a vice versa effect or negative association with the index PVI.
Conclusions: There should be settled certain strategies for addressing the impact of oil prices, passenger transportation
systems optimiation, exploring export potentials, managing currency exchange risks. All of these measerues will
be helpful and essential for sustainability insurance in terms of transportation industry.
