Evaluating Efficiency and Effectiveness of Logistics Infrastructure Based on PCA-DEA Approach in China
With the accession into the WTO, modern logistics in China possess the great development opportunity. Shanghai, Hong Kong and Guangzhou, some of the major gates to the outside world in China, plan to build themselves into major international logistics center in 5 to 10 years. Therefor the research of Logistics Infrastructure (LI) has recently become a hot topic in the logistics area. In this paper, we propose a Principal Component Analysis (PCA) and Data Envelopment Analysis (DEA) approach to evaluate Efficiency and Effectiveness of Logistics Infrastructure (EELI) for 31 major regions (including 23 provinces, 4 municipalities and 4 autonomous regions) in China. This model is significant because it not only can provide useful information to measure EELI through an evaluation framework including 2 output variables and 6 input variables, but also can help government identify the inefficient and effective operations.
principal component analysis data envelopment analysis logistics infrastructure index system
Changbing Jiang Peihua Fu
College of Computer and Information Management Zhejiang Gongshang University Hangzhou, China
国际会议
长沙
英文
1988-1992
2009-10-10（万方平台首次上网日期，不代表论文的发表时间）