Efficiency Analysis of Russian Rail Freight Transportation Companies with Super Slack-Based Measurement Data Envelopment Analysis
| Autor: | Valeria Maltseva, Joonho Na, Gyuseung Kim, Hun-Koo Ha |
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| Jazyk: | angličtina |
| Rok vydání: | 2020 |
| Předmět: | |
| Zdroj: | Journal of International Logistics and Trade, Vol 18, Iss 2, Pp 77-89 (2020) |
| Druh dokumentu: | article |
| ISSN: | 2508-7592 1738-2122 |
| DOI: | 10.24006/jilt.2020.18.2.077/full/pdf |
| Popis: | We adopt a super slack-based measurement (SBM) data envelopment analysis (DEA) model to estimate the efficiency of five biggest freight rail operators in Russia, which are included in the top 30 freight rail operators in terms of two dimensions – financial and operational efficiency during 2013–2017. The result shows that the private companies characterized by high financial and operational efficiency, while the Rossiiskye Zheleznye Dorogi (RZD) subsidiaries characterized by sufficiently low financial and operational efficiency scores. And the result also presents that operational efficiency score of operators handling universal rolling stock is higher than financial efficiency scores. In contrast, financial efficiency scores of operators handling special rolling stock is higher than operational efficiency scores. rail freight operators in addition to a special rolling stock park should have a universal rolling stock park for higher profitability. State-owned companies and its subsidiary operate inefficiently in the midst of a market economy in Russia. Rail freight operators for a higher level of financial efficiency should be transferred to the private sector. |
| Databáze: | Directory of Open Access Journals |
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