Malmquist Productivity Indexes in Chinese Ports: a Fuzzy GMSS DEA Approach
This research focuses on the productivity assessment of 17 major Chinese ports from 2006–2015. Differently from previous works, a network productive structure formed by two stages was considered. In the first stage, fixed and other assets, altogether with human resources, are used to generate operating costs used as intermediate inputs, while the depreciation/amortisation of such assets is considered as an exogenous output. In the second stage, each port uses these costs generated in the first stage to produce operating profit, while cargo demand is considered as an exogenous input that enters the system. Then, bootstrapped regression trees are used to predict the relationship of a set of contextual variables related to the technology, financial health and location. Results indicate that the former two determine the productivity change of Chinese ports. When the expansion of scale has not jeopardised the financial health, the productivity will increase. Implications are also derived.
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Availability:
- Find a library where document is available. Order URL: http://worldcat.org/issn/17566517
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Supplemental Notes:
- Copyright © 2018 Inderscience Enterprises Ltd.
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Authors:
- Wanke, Peter
- Chen, Zhongfei
- Antunes, Jorge Junio Moreira
- Barros, Carlos
- Publication Date: 2018
Language
- English
Media Info
- Media Type: Web
- Pagination: pp 202-236
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Serial:
- International Journal of Shipping and Transport Logistics
- Volume: 10
- Issue Number: 2
- Publisher: Inderscience Enterprises Limited
- ISSN: 1756-6517
- EISSN: 1756-6525
- Serial URL: http://www.inderscience.com/jhome.php?jcode=ijstl
Subject/Index Terms
- TRT Terms: Cargo handling; Port operations; Ports; Productivity; Regression analysis
- Identifier Terms: Malmquist Total Factor Productivity Index
- Geographic Terms: China
- Subject Areas: Freight Transportation; Marine Transportation; Operations and Traffic Management; Terminals and Facilities;
Filing Info
- Accession Number: 01671027
- Record Type: Publication
- Files: TRIS
- Created Date: May 29 2018 4:05PM