DOI QR코드

DOI QR Code

A Study on Operational Efficiency Analysis on the Value of Chinese Shipping Companies

  • Cui, Lin-Lin (Division of Maritime Transportation, Mokpo National Maritime University, lnternational Exchange Center, Hengshui University) ;
  • Choi, Jung-Suk (Division of Maritime Transportation, Mokpo National Maritime University)
  • Received : 2020.04.20
  • Accepted : 2022.05.28
  • Published : 2022.05.30

Abstract

Shipping companies are key components of the logistics industry, which is extremely significant in enhancing the country's comprehensive national power and promoting global trade development. In the context of the implementation of the new development pattern strategy in China and the impact of the global novel coronavirus (COVID-19), this paper takes 22 Chinese shipping listed companies as the research object and analyses the operational efficiency of them from 2011 to 2020 based on the Super-SBM DEA Model and Window DEA Model. Factors affecting the efficiency are further analyzed with the Tobit model. The research conclude that the operational efficiency of Chinese shipping companies as a whole shows a steady increase from 2011 to 2020. Although most of them are in a relatively ef ective operation state, fewer are absolutely effective companies. Besides efficiency among companies differs obviously, which indicates the potential of further improvement and promotion. What's more, factors such as current economic development level, enterprise size, human resources quality and enterprise turnover speed have significant positive correlation to the operation efficiency of Chinese shipping listed companies, which is significant to improve the operation efficiency of Chinese shipping companies.

Keywords

Acknowledgement

This work was supported by the Ministry of Education of the Republic of Korea and the National Research Foundation of Korea (NRF-2020S1A5A8042768).

References

  1. Andersen, P. and N. C. Petersen(1993), A procedure for ranking efficient units in data envelopment analysis[J]. Management science, Vol. 39, No. 10, pp. 1261-1264. https://doi.org/10.1287/mnsc.39.10.1261
  2. Banker, R. D., A. Charnes, and W. W. Cooper(1994), Some models for estimating technical and scale inefficiencies in data envelopment analysis[J]. Management science, Vol. 30, No. 9, pp. 078-1092.
  3. Charnes, A., W. W. Cooper, and E. Rhodes(1978), Measuring the efficiency of decision making units[J]. European journal of operational research, Vol. 2, No. 6, pp. 429-444. https://doi.org/10.1016/0377-2217(78)90138-8
  4. Charnes, A., W. W. Cooper, and B. Golany(1985), Foundations of data envelopment analysis for pareto- koopmans efficient empirical production functions[J]. Journal of Econometrics, No. 30, pp. 91-107.
  5. Caves, D. W., L. R Christensen, and W. E. Diewert(1982), The economic theory of index numbers and the measurement of input, output, and productivity[J]. Econometrica: Journal of the Econometric Society, pp.1393-1414.
  6. Chen, Junfei, Changxin Xu, and Yixin Yan(2004), Evaluation of operational efficiency of listed port and water transportation companies by using data envelopment analysis[J]. Journal of Shanghai Maritime College, No. 01, pp. 51-55.
  7. Chu, Yanchang and Feichao Chen(2020), Research on the evaluation of operational efficiency of China's airport industry based on super-efficient DEA-Malmquist index[J]. Journal of Chongqing Jiaotong University (Natural Science Edition), Vol. 38, No. 12, pp. 115-122.
  8. Farrell, M. J. and J. Farrell(1957), The measurement of productive efficency. pp. 256-257.
  9. Gao, Tao, Linchi Qu, Yunjie Tang, and Zhe Xu(2020) Evaluation of efficiency of listed shipping companies in China and measurement of influencing factors[J]. Journal of Guangxi University (Natural Science Edition), Vol. 45, No. 03, pp. 707-716.
  10. Gong, Yaling, Jianxiang Wang, and Fuyu Feng(2019), A study on the measurement of regional logistics efficiency and its influencing factors--based on DEA and Tobit model[J]. Jiangxi Social Science, Vol. 39, No. 10, pp. 72-80.
  11. Hamdan, A. and K. J. J. Rogers(2008), Evaluating the efficiency of 3PL logistics operations[J]. International journal of production economics, Vol. 113, No.1, pp. 235-244. https://doi.org/10.1016/j.ijpe.2007.05.019
  12. Hung, S. W., W. M. Lu, and T. P. Wang(2010), Benchmarking the operating efficiency of Asia container ports[J]. European journal of operational research, Vol. 203, No. 3 pp. 706-713. https://doi.org/10.1016/j.ejor.2009.09.005
  13. Kuang, Haibo(2007), A study on cost efficiency evaluation of Chinese port listed companies based on super-efficient CCR-DEA[J]. China Management Science, No. 03, pp. 142-148.
  14. Kim, ByungCheol(2015), An Analysi Eficency Change and Eficency Stabilty of The Comunity Credit Coperative by Using Non-Radial SBM Model and DEA Window Model.
  15. Liu, ZhiPing, JunShuai Zhao, Ying Ma, Wen Huan Zou, and Yan Zhou(2021), Current situation, risks and development countermeasures of shipping industry in the post-epidemic era[J]. Zhujiang Water Transport, Vol.22, No. 10, pp. 62-63.
  16. Liu, JiLiang(2004), Research on the operational efficiency of China's coastal port enterprises based on SUP-DEA[J]. Logistics Technology, Vol. 35, No. 02, pp. 55-59.
  17. Li, Xiaomei, and Xuefei Bai(2001), Empirical analysis of state-owned logistics enterprises' performance based on super-efficient CCR-DEA--based on the sample data of 16 listed logistics enterprises[J]. China Circulation Economy, Vol. 30, No. 04, pp. 26-32.
  18. Li, Dan, Wei Xin Luan, and Feng Pian(2015), Research on the impact of shipping enterprises' investment on terminal operation efficiency[J]. Transportation System Engineering and Information, Vol. 15, No. 01, pp. 43-48.
  19. Lv, JiaChen(2021), An introduction to the impact on shipping enterprises under the domestic and international double-cycle development pattern[J]. Finance and Economics, Vol. 18, No. 10. pp. 7-8.
  20. Pang, RuiZhi(2006), Dynamic efficiency evaluation of major coastal ports in China[J]. Economic Research, pp. 92-100.
  21. Min, H. and S. J. Joo(2006), Benchmarking the operational efficiency of third party logistics providers using data envelopment analysis[J]. Supply chain management: An International journal.
  22. Na, S. G. and L. Chen(2017), Analysis on Efficiency of Insurance Company in China Based on DEA Model. pp. 246-248.
  23. OA, Heshmati(2010), A sequential Malmquist-Luenberger productivity index: Environmentally sensitive productivity growth considering the progressive nature of technology[J]. Energy Economics.
  24. Odeck, J. and S. Brathen(2012), A meta-analysis of DEA and SFA studies of the technical efficiency of seaports: A comparison of fixed and random-effects regression models[J]. Transportation Research Part A: Policy and Practice, Vol. 46, No. 10, pp. 1574-1585. https://doi.org/10.1016/j.tra.2012.08.006
  25. Wang, Jianqiang, and Jianjun Yang(2010), Evaluation of enterprise investment efficiency based on DEA model[J]. Scientific Research Management, Vol. 31, No. 4, pp. 73-80.
  26. Schinnar, A. P.(1980), Measuring productive efficiency of public service provision[M]. University of Pennsylvania, pp. 156-157.
  27. Sun, ZhiKuan and MeiYue Chen(2021), 2021 World Transport Congress Water Transport Section Meeting Impact of New Crown Pneumonia Epidemic on Piltage Safety and Countermeasures Research[J]. Journal of Shanghai Maritime University, Vol. 42, No. 3, pp. 71-75
  28. Tongzon, J.(2001), Efficiency measurement of selected Australian and other international ports using data envelopment analysis[J]. Transportation Research Part A: Policy and Practice, Vol. 35 No. 2 pp. 107-122. https://doi.org/10.1016/S0965-8564(99)00049-X
  29. Tone, K.(2001a), A slaek-based measure of super-efficiency in data envelopment analysis[J]. European Journal of Operational Re-search, No. 1, pp. 52-41.
  30. Tone, K.(2001b), A slacks-based measure of efficiency in data envelopment analysis[J]. European journal of operational research, Vol. 130, No. 3, pp. 498-509. https://doi.org/10.1016/S0377-2217(99)00407-5
  31. Wang, Feng, and Genfu Feng(2013), Interprovincial energy and environmental efficiency assessment in China based on DEA window model[J]. China Industrial Economics, No. 07, pp. 56-68.
  32. Zhong, Zuchang(2011), An empirical study of operational efficiency of listed logistics companies in China[J]. Business Economics and Management, No. 04, pp. 19-26.