Malmquist Productivity Analysis of Top Global Automobile Manufacturers

被引:9
作者
Wang, Chia-Nan [1 ]
Tibo, Hector [1 ,2 ]
Hong Anh Nguyen [1 ]
机构
[1] Natl Kaohsiung Univ Sci & Technol, Dept Ind Engn & Management, Kaohsiung 80778, Taiwan
[2] Technol Univ Philippines Taguig, Elect Engn Dept, Taguig 1630, Philippines
关键词
data envelopment analysis (DEA); Malmquist productivity index (MPI); catch-up efficiency; frontier-shift; productivity index; technological change; total factor productivity; EFFICIENCY; DEA; GROWTH; INDEX; CHINA;
D O I
10.3390/math8040580
中图分类号
O1 [数学];
学科分类号
0701 ; 070101 ;
摘要
The automobile industry is one of the largest economies in the world, by revenue. Being one of the industries with higher employment output, this has become a major determinant of economic growth. In view of the declining automobile production after a period of continuous growth in the 2008 global auto crisis, the re-evaluation of automobile manufacturing is necessary. This study applies the Malmquist productivity index (MPI), one of the many models in the Data Envelopment Analysis (DEA), to analyze the performance of the world's top 20 automakers over the period of 2015-2018. The researchers assessed the technical efficiency, technological progress, and the total factor productivity of global automobile manufacturers, using a variety of input and output variables which are considered to be essential financial indicators, such as total assets, shareholder's equity, cost of revenue, operating expenses, revenue, and net income. The results show that the most productive automaker on average is Volkswagen, followed by Honda, BAIC, General Motors, and Suzuki. On the contrary, Mitsubishi and Tata Motors were the worst-performing automakers during the studied period. This study provides a general overview of the global automobile industry. This paper can be a valuable reference for car managers, policymakers, and investors, to aid their decision-making on automobile management, investment, and development. This research is also a contribution to organizational performance measurement, using the DEA Malmquist model.
引用
收藏
页数:21
相关论文
共 29 条
  • [1] [Anonymous], 2003, UNIDO SECTORIAL STUD
  • [2] The Malmquist total factor productivity index
    Bjurek, H
    [J]. SCANDINAVIAN JOURNAL OF ECONOMICS, 1996, 98 (02) : 303 - 313
  • [3] Chandraprakaikul W, 2012, 2012 4TH IEEE INTERNATIONAL SYMPOSIUM ON LOGISTICS AND INDUSTRIAL INFORMATICS (LINDI), P81, DOI 10.1109/LINDI.2012.6319466
  • [4] Using Malmquist Indexes to measure changes in the productivity and efficiency of US accounting firms before and after the Sarbanes-Oxley Act
    Chang, Hsihui
    Choy, Hiu Lam
    Cooper, William W.
    Ruefli, Timothy W.
    [J]. OMEGA-INTERNATIONAL JOURNAL OF MANAGEMENT SCIENCE, 2009, 37 (05): : 951 - 960
  • [5] Environmental efficiency analysis of transportation system in China: A non-radial DEA approach
    Chang, Young-Tae
    Zhang, Ning
    Danao, Denise
    Zhang, Nan
    [J]. ENERGY POLICY, 2013, 58 : 277 - 283
  • [6] MEASURING EFFICIENCY OF DECISION-MAKING UNITS
    CHARNES, A
    COOPER, WW
    RHODES, E
    [J]. EUROPEAN JOURNAL OF OPERATIONAL RESEARCH, 1978, 2 (06) : 429 - 444
  • [7] A non-radial Malmquist productivity index with an illustrative application to Chinese major industries
    Chen, Y
    [J]. INTERNATIONAL JOURNAL OF PRODUCTION ECONOMICS, 2003, 83 (01) : 27 - 35
  • [8] Does It Pay to Recall Your Product Early? An Empirical Investigation in the Automobile Industry
    Eilert, Meike
    Jayachandran, Satish
    Kalaignanam, Kartik
    Swartz, Tracey A.
    [J]. JOURNAL OF MARKETING, 2017, 81 (03) : 111 - 129
  • [9] Productivity growth, technical progress and efficiency change in African agriculture
    Nkamleu, GB
    [J]. AFRICAN DEVELOPMENT REVIEW-REVUE AFRICAINE DE DEVELOPPEMENT, 2004, 16 (01): : 203 - 222
  • [10] Fathali A., 2016, International Journal of Asian Social Sciences, V6, P135, DOI DOI 10.18488/JOURNAL.1/2016.6.2/1.2.135.145