Efficiency assessment of Japanese National Railways before and after privatization and divestiture using data envelopment analysis

被引:10
|
作者
Tomikawa, Tadaaki [1 ]
Goto, Mika [2 ]
机构
[1] Tokyo Inst Technol, Sch Environm & Soc, Dept Innovat Sci, Minato Ku, 3-3-6 Shibaura, Tokyo 1080023, Japan
[2] Tokyo Inst Technol, Sch Environm & Soc, Technol & Innovat Management, Dept Innovat Sci,Minato Ku, 3-3-6 Shibaura, Tokyo 1080023, Japan
关键词
Japanese railways; Deregulation; Efficiency; Data envelopment analysis; WILLIAM W. COOPER; SOCIAL EFFICIENCY; PRODUCTIVITY; PRIVATISATION; BENCHMARKING; FIRMS;
D O I
10.1016/j.tranpol.2022.01.012
中图分类号
F [经济];
学科分类号
02 ;
摘要
Japanese National Railways (JNR) was privatized in 1987 and divided into six passenger companies and one freight company. Before the structural reform, JNR was a national monopoly that owned railroad assets and provided transportation services throughout the country under government regulation. The goal of the structural reform was to eliminate management inefficiency and improve operational performance while attaining high quality of railroad transportation services at reasonable prices. To ascertain if this goal has been achieved, we examine the performance of JNR and Japan's six passenger railway companies before and after privatization and divestiture. Using data envelopment analysis on a data set from 1965 to 2017, we calculated four types of efficiency measures related to cost, operations, revenue-earning and profit-earning, by combining four phases of the companies' business activities as input and output: cost, operational resource, operational output, and total revenue. To the best of our knowledge, this study is the first holistic performance analysis of Japan's six railroad companies, using efficiency measures to assess the effects of the deregulation. The results reveal improvement in cost efficiency remains a vital issue for all six companies, and increasing trend of efficiency measures on operations is observed after the privatization. Mainland companies with an advantageous business environment do not necessarily have higher efficiency, holding more room for improvement. Further, we found that higher cost efficiency for some companies may be derived from a shrinking equilibrium in management based on a potential decline in demand, but such a passive operation could hinder managerial efforts to escape dependence on subsidy.
引用
收藏
页码:44 / 55
页数:12
相关论文
共 50 条
  • [41] Reverse efficiency measures for environmental assessment in data envelopment analysis
    Afzalinejad, Mohammad
    SOCIO-ECONOMIC PLANNING SCIENCES, 2020, 70
  • [42] Using data envelopment analysis to measure ports efficiency
    Abid, Chafik
    Tadj, Lotfi
    INTERNATIONAL JOURNAL OF BUSINESS PERFORMANCE MANAGEMENT, 2012, 13 (3-4) : 257 - 273
  • [43] A dynamic efficiency model using data envelopment analysis
    Sengupta, JK
    INTERNATIONAL JOURNAL OF PRODUCTION ECONOMICS, 1999, 62 (03) : 209 - 218
  • [44] Measurement of campaign efficiency using data envelopment analysis
    Berry, BJL
    Chen, YS
    ELECTORAL STUDIES, 1999, 18 (03) : 379 - 395
  • [45] Efficiency studies in forestry using data envelopment analysis
    Sowlati, T
    FOREST PRODUCTS JOURNAL, 2005, 55 (01) : 49 - 57
  • [46] Efficiency analysis of UAE banks using data envelopment analysis
    Shahwan, Tamer Mohamed
    Hassan, Yousef Mohammed
    JOURNAL OF ECONOMIC AND ADMINISTRATIVE SCIENCES, 2013, 29 (01) : 4 - 20
  • [47] Analysis of port authority efficiency using data envelopment analysis
    Zahran, Shaher Z.
    Bin Alam, Jobair
    Al-Zahrani, Abdulrahem H.
    Smirlis, Yiannis
    Papadimitriou, Stratos
    Tsioumas, Vangelis
    MARITIME ECONOMICS & LOGISTICS, 2017, 19 (03) : 518 - 537
  • [48] Analysis of port authority efficiency using data envelopment analysis
    Shaher Z Zahran
    Jobair Bin Alam
    Abdulrahem H Al-Zahrani
    Yiannis Smirlis
    Stratos Papadimitriou
    Vangelis Tsioumas
    Maritime Economics & Logistics, 2017, 19 : 518 - 537
  • [49] Evaluating the efficiency of cloud services using modified data envelopment analysis and modified super-efficiency data envelopment analysis
    Jatoth, Chandrashekar
    Gangadharan, G. R.
    Fiore, Ugo
    SOFT COMPUTING, 2017, 21 (23) : 7221 - 7234
  • [50] Evaluating the efficiency of cloud services using modified data envelopment analysis and modified super-efficiency data envelopment analysis
    Chandrashekar Jatoth
    G. R. Gangadharan
    Ugo Fiore
    Soft Computing, 2017, 21 : 7221 - 7234