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E-ISSN : 2288-2766
Analysis on Output Efficiency of Chinese Listed Port Companies Based on DEA Model
Hyung-Ho Kim
Abstract
Purpose – The purpose of this study is to propose strategies of improving efficiency of 20 listed port companies in China based on analysis of their input-output indexes from 2014 to 2018. Research design, data, and methodology – In this paper, the relevant input-output indicators of 20 listed port companies in China from 2014 to 2018 were adopted. Comprehensive efficiency and pure technical efficiency were measured from output perspective by DEA and Malmquist index, and efficiency changes and regional efficiency were analyzed. Result – The results showed that the efficiency value of 20 listed port companies in China fluctuated and increased during 2014-2018, regional efficiency is unbalanced, and change of MPI is influenced by internal factors and external factors. Conclusion – The research conclusion can provide important reference information about management and planning for port companies in China and related areas. However, this paper is limited to the availability of data. So the improvement scheme for listed companies in inefficient regional ports needs further study, such as using AHP method.
- keywords
- Listed Port Companies, Efficiency, DEA, Malmquist index, TECI, TCI
Reference
Borenstein, D. (2004). Measuring the efficiency of Brazilian port office stores using data envelopment analysis. International Journal of Operations& Production Management, 24(10), 1055-1078.
Cullinane, K. (2004). An application of DEA windows analysis to container port production efficiency. Review of Network Economics, 3(2), 184-206.
Ding, C. H. (2018). Efficiency evaluation of large ports in Jiangsu province based on three-stage DEA model. (Master’s dissertation, Jiangsu University of Science and Technology in China).
Dong, B. (2016). Research on the efficiency of listed companies in china's port industry--based on super-efficiency DEA and Malmquist index. (Master’s dissertation, Southwest University of Political Science and Law in China).
Feng, F., Chen, L., & Huang, H. (2017). Measurement and improvement path of operation efficiency of china's listed port companies. China Circulation Economy, 31(6), 3.
Kuang, H. B. & Chen, S. W. (2007). Research and demonstration on production efficiency of Chinese ports. Scientific Research Management, 28(9), 170-177.
Li, C. J., Jeon, J. W., & Kim, H. H. (2020). An efficiency analysis of fishery output in coastal areas of china. International Journal of Advanced Smart Convergence, 9(3), 127-136.
Martine-Budria, E., Diaz-Armas, R., Navarro-Ibanez, M., & Ravelo-Mesa, T. (1999). A study of the efficiency of Spanish port authorities using data envelopment analysis. International Journal of Transport Economics, 26(2), 237-253.
Nie, J. L. (2018). Efficiency study of Shenzhen port based on DEA model. Comprehensive Transport, 40(8), 2-11.
Pang, R. Z. (2006). Dynamic evaluation of china's major coastal ports. Economic Research, 9(6), 92-100.
Qi, L., Chung, G. Y., & Kim, H. H. (2020). Analysis on logistics efficiency of china's agricultural products cold chain from the green perspective. International Journal of Advanced Culture Technology, 8(2), 192-203.
Tone, K. (2001). A slacks-based measure of efficiency in data envelopment analysis. European Journal of Operational Research, 130(3), 498-509.
Vandyck, G. K. (2015). Assessment of port efficiency in west Africa using data envelopment analysis. American Journal of Industrial and Business Management, 5(4), 208-218.
Wang, L. & Bi, Z. W. (2010). Study on the efficiency of china's major inland ports based on three-stage DEA model. Research on Industrial Economy Investigate, 47(4), 40-48.
Yan, H. S., Kim, H. H., & Yang, J. W. (2020). Efficiency analysis of Chinese blockchain concept stock listed companies. International Journal of Advanced Smart Convergence, 9(3), 17-27.
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