Evaluating the Efficiency of the Pearl River Delta Ports Based on Three-stage DEA Model

doi:10.3969/j.issn.1007-7375.e16-1259

Abstract

Abstract: Against the background of sluggish global economic recovery and "double down" of foreign trade in recent years,efficiency determines the development of ports as an important part of the global supply chain.Applying the panel data derived from 9 ports in the Pearl River Delta region from the year of 2010 to 2014,the efficiency of the Pearl River Delta ports is empirically analyzed by conducting the three-stage DEA model.The results indicate,(1) that the comprehensive efficiency of ports in Pearl River Delta region is low;(2) that the low comprehensive efficiency is attributed to the scale inefficiency;and (3) that the comprehensive efficiency,pure technical efficiency and scale efficiency of the port in the Pearl River Delta region have been increasing in recent years,but the rise is relatively small.

Key words: three-stage DEA model, The Pearl River Delta, port efficiency, evaluation

CLC Number:

F552

WANG Aihu, WU Wenling. Evaluating the Efficiency of the Pearl River Delta Ports Based on Three-stage DEA Model[J]. Industrial Engineering Journal , 2017, 20(3): 82-88.

References

[1] CULLINANE K, SONG D, GARY R. A stochastic frontier model of the efficiency of major container terminals in Asia:assessing the influence of administrative and ownership structures[J]. Transportation Research Part A, 2002, 36(8):743-762.
[2] 郭辉. 集装箱码头生产效率分析[D]. 大连:大连海事大学, 2005:1-39.GUO Hui. Container terminal efficiency analysis-the efficiency comparison and analysis of Chinese container terminals and foreign container terminals[D]. Dalian:Dalian Maritime University, 2005:1-39.
[3] TONGZON J. Efficiency measurement of selected Australian and other international ports using data envelopment analysis[J]. Transportation Research Part A:Policy and Practice, 2001, 35(2):107-122.
[4] BARROS C, ATHANASSIOU M. Efficiency in European seaports with DEA:evidence from Greece and Portugal[J]. Maritime Economics And Logistics, 2004, 6(2):122-140.
[5] AL-ERAQI A S, MUSTAFA A, KHADER A T. Efficiency of Middle Eastern and East African seaports:application of DEA using window analysis[J]. European Journal of Scientific Research, 2008, 23(4):598-613.
[6] 李兰冰, 刘军, 李春辉. 两岸三地主要沿海港口动态效率评价——基于DEA-Malmquist全要素生产率指数[J]. 软科学, 2011, 25(5):80-84.LI Lanbing, LIU Jun, LI Chunhui. Analysis of dynamic efficiency of main ports in mainland China, Hong Kong and Taiwan-based on DEA-malmquist productivity index[J]. Soft Science Journal, 2011, 25(5):80-84.
[7] MEDAL A, SALA R. An efficiency ranking of Spanish seaports using FDH methodology[J]. International Journal of Transport Economics, 2011, 38(2):201-226.
[8] LIN L, TSENG C. Operational performance evaluation of major container ports in the Asia-Pacific region[J]. Maritime Policy & Management, 2007, 34(6):535-551.
[9] LIU Chun-Chu. Evaluating the operational efficiency of major ports in the Asia-Pacific region using data envelopment analysis[J]. Applied Economics, 2008, 40(13):1737-1743.
[10] 王玲, 毕志雯. 基于三阶段DEA模型的我国主要内河港口效率研究[J]. 产业经济研究, 2010(4):40-48.WANG Ling, BI Zhiwen. Evaluating the operational efficiency of major Inland ports in China using the 3-Stage DEA model[J]. Industrial Economics Research Journal, 2010(4):40-48.
[11] FRIED H. Accounting for environmental effects and statistical noise in data envelopment analysis[J]. Journal of Productivity Analysis, 2002, 17(1/2):157-174.
[12] CHARNES A, COOPER W, RHODES E. Measuring the efficiency of decision-making units[J]. European Journal of Operational Research, 1979, 3(4):429-444.

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