基于超松弛测量数据包络分析的俄罗斯铁路货运公司效率分析

Q3 Economics, Econometrics and Finance
V. Maltseva, Joon-Ho Na, Gyuseung Kim, H. Ha
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引用次数: 3

摘要

我们采用基于超差的测量(SBM)数据包络分析(DEA)模型来估计俄罗斯五大货运铁路运营商的效率,这些运营商在2013-2017年的财务和运营效率两个维度上都被列入前30名货运铁路运营商。结果表明,民营企业具有较高的财务效率和运营效率,而Rossiiskye Zheleznye Dorogi (RZD)子公司具有足够低的财务效率和运营效率得分。结果还表明,操作通用车辆的操作员的运营效率得分高于财务效率得分。与此相反,特种车辆操作人员的财务效率得分高于运营效率得分。铁路货运经营者除了要有专用的车辆段外,还要有通用的车辆段,以获得更高的盈利能力。在俄罗斯的市场经济中,国有企业及其子公司的运作效率低下。铁路货运经营者要想获得更高水平的财务效率,应将其转移到私营部门。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Efficiency Analysis of Russian Rail Freight Transportation Companies with Super Slack-Based Measurement Data Envelopment Analysis
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.
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来源期刊
Journal of International Logistics and Trade
Journal of International Logistics and Trade Business, Management and Accounting-Marketing
CiteScore
2.60
自引率
0.00%
发文量
6
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