An Assessment of the Efficiency of Canadian Power Generation Companies with Bootstrap DEA

被引:2
|
作者
Dia, Mohamed [1 ]
Shahi, Shashi K. [1 ]
Zephyr, Luckny [1 ]
机构
[1] Laurentian Univ, Fac Management, Sch Business Adm, Res Grp Operat Analyt & Decis Sci RGinOADS, 935 Ramsey Lake Rd, Sudbury, ON P3E 2C6, Canada
关键词
bootstrap data envelopment analysis; power generation; overall technical efficiency; managerial efficiency; scale efficiency; performance improvement; DATA ENVELOPMENT ANALYSIS; ENERGY EFFICIENCY; WINDOW ANALYSIS; PERFORMANCE EVALUATION; HYDROPOWER PLANTS; MALMQUIST INDEX; CO2; EMISSION; PRODUCTIVITY; CHINA;
D O I
10.3390/jrfm14100498
中图分类号
F8 [财政、金融];
学科分类号
0202 ;
摘要
Power generation companies play an important role in the Canadian economy, as most of the economic activities in the manufacturing and service sectors are powered by electricity. The significance of the Canadian power generation industry shows that efficiency analysis is essential for efficiently managing power generation and distribution in Canada. However, there have been few attempts to study the relative efficiencies of the Canadian power generation companies. This study fills in this gap by assessing the overall technical, managerial, and scale efficiencies of a sample of Canadian power generation companies via the non-parametric bootstrap DEA methodology, with firm-level annual inputs and outputs data over an 18-year horizon. The results of our investigation indicate low levels of overall technical and managerial efficiencies but relatively high levels of scale efficiencies of the Canadian power generation companies over the entire study period. We also found that the 2007-2009 financial crisis impacted the relative performance of the Canadian power generation companies. Our results also allowed us to identify the benchmark power generation companies for each type of efficiency that the inefficient companies should target toward improving their efficiency.</p>
引用
收藏
页数:27
相关论文
共 50 条
  • [1] Relative Efficiency of Canadian Banks: A Three-Stage Network Bootstrap DEA
    Dia, Mohamed
    Golmohammadi, Amirmohsen
    Takouda, Pawoumodom M.
    JOURNAL OF RISK AND FINANCIAL MANAGEMENT, 2020, 13 (04)
  • [2] Research on Resource Efficiency of Companies of Biomass Power Generation Based on Three-stage DEA
    Fang, Qinmin
    Liu, Ting
    Zhou, Xuejiao
    PROCEEDINGS OF THE 2015 INTERNATIONAL CONFERENCE ON INDUSTRIAL TECHNOLOGY AND MANAGEMENT SCIENCE (ITMS 2015), 2015, 34 : 1675 - 1678
  • [3] The researches on efficiency of listed electric power companies based on DEA
    Wang, Xiping
    Li, Yuesheng
    RESEARCH ON ORGANIZATIONAL INNOVATION - 2007 PROCEEDINGS OF INTERNATIONAL CONFERENCE ON ENTERPRISE ENGINEERING AND MANAGEMENT INNOVATION, 2007, : 334 - 339
  • [4] DEA approach for unified efficiency measurement: Assessment of Japanese fossil fuel power generation
    Sueyoshi, Toshiyuki
    Goto, Mika
    ENERGY ECONOMICS, 2011, 33 (02) : 292 - 303
  • [5] The efficiency of wind power companies in electricity generation
    Maradin, Dario
    Cerović, Ljerka
    Šegota, Alemka
    Energy Strategy Reviews, 2021, 37
  • [6] The efficiency of wind power companies in electricity generation
    Maradin, Dario
    Cerovic, Ljerka
    Segota, Alemka
    ENERGY STRATEGY REVIEWS, 2021, 37
  • [7] Educational efficiency in a dea-bootstrap approach
    Giambona, Francesca
    Vassallo, Erasmo
    Vassiliadis, Elli
    ECONOMICS BULLETIN, 2010, 30 (04): : 2709 - 2719
  • [8] Trends in the Economic Efficiency of Polish Power Generation Companies
    Zamasz, Krzysztof
    VISION 2025: EDUCATION EXCELLENCE AND MANAGEMENT OF INNOVATIONS THROUGH SUSTAINABLE ECONOMIC COMPETITIVE ADVANTAGE, 2019, : 9552 - 9561
  • [9] Does the Energy Efficiency of Power Companies Affect Their Industry Status? A DEA Analysis of Listed Companies in Thermal Power Sector
    Chai, Jian
    Fan, Wenyue
    Han, Jing
    SUSTAINABILITY, 2020, 12 (01)
  • [10] Measuring DEA efficiency in Internet companies
    Serrano-Cinca, C
    Fuertes-Callén, Y
    Mar-Molinero, C
    DECISION SUPPORT SYSTEMS, 2005, 38 (04) : 557 - 573