Abstract
To investigate the long-term operating efficiencies of container ports, we extend the work of previous researches to present a new systemic and improved method of data envelopment analysis (DEA)-based Malmquist productivity index (MPI) in this paper. An approach based on both panel data and multi-inputs/outputs is considered comprehensively, and aims at measuring the operating efficiencies of 10 leading container ports in China from 2001 to 2006 by applying this new systematic calculation method. The results illustrate that the main influence factor of total factor productivity change is the technology change, and the container transportation of these 10 ports is on the healthy development status and will recover and grow reposefully in the following years.
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References
Fulginiti L E, Perrin R K. LDC agriculture: Nonparametric Malmquist productivity indexes [J]. Journal of Development Economics, 1997, 53(2): 373–390.
Madden G, Savage S J. Telecommunications productivity, catch up and innovation [J]. Telecommunications Policy, 1999, 23: 65–81.
Pang R Z. Dynamic evaluation of main sea ports in mainland china based on DEA model [J]. Economic Research Journal, 2006, 41(6): 92–100 (in Chinese).
Golany B, Roll Y. An application procedure for DEA [J]. International Journal of Management Science, 1989, 17(3): 237–250.
Charnes A, Cooper W W, Rhodes E. Measuring the efficiency of decision making units [J]. European Journal of Operational Research, 1978, 2(6): 429–444.
Färe R. Grosskopf S, Lindgren B, et al. Productivity change in Swedish pharmacies 1980–1989: A nonparametric Malmquist approach [J]. Journal of Productivity Analysis, 1992, 3(1): 85–102.
Chen Y, Ali A I. DEA Malmquist productivity measure: New insights with an application to computer industry [J]. European of Journal of Operational Research, 2004, 159(1): 239–249.
Lin L C, Tseng L A. Application of DEA and SFA on the measurement of operating efficiencies for 27 International container ports [C]//Proceedings of the Eastern Asia Society for Transportation Studies. Bangkok, Thailand: Eastern Asia Soc Transportat Studies, 2005: 592–607.
David A G, Vlad M. Determinants of commercial bank performance in transition: An application of data envelopment analysis [J]. Comparative Economic Studies, 2006, 48: 497–522.
Joe Z. Imprecise data envelopment analysis (IDEA): A review and improvement with an application [J]. European Journal of Operational Research, 2003, 144(3): 513–529.
Wang T F, Song D W, Cullinane K. Container port production efficiency: A comparative study of DEA and FDH approaches [J]. Journal of the Eastern Asia Society for Transportation Studies, 2003, 5: 698–713.
Hui Z, Trevor H, Robert T. Sparse principal component analysis [J]. Journal of Computational and Graphical Statistics, 2006, 15(2): 265–286.
Zhang Y S, Zeng D M, Zhang L F. Improving PCA application in enterprise performance evaluation [J]. Journal of Shanxi Finance and Economics University, 2004, 26(4): 80–85 (in Chinese).
Ali A I, Seiford L M. Translation invariance in data envelopment analysis [J]. Operations Research Letters, 1990, 9: 403–405.
Coelli T. A guide to DEAP version 2.1: A data envelopment analysis (computer) [R]. Australia: University of New England, 1996.
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Foundation item: the National Natural Science Foundation of China (No. 50578030)
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Fu, Bx., Song, Xq. & Guo, Zj. DEA-based malmquist productivity index measure of operating efficiencies: New insights with an application to container ports. J. Shanghai Jiaotong Univ. (Sci.) 14, 490–496 (2009). https://doi.org/10.1007/s12204-009-0490-8
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DOI: https://doi.org/10.1007/s12204-009-0490-8