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Selecting Suitable, Green Port Crane Equipment for International Commercial Ports

Guo-Ya Gan, Hsuan-Shih Lee, Yu-Jwo Tao and Chang-Shu Tu
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Guo-Ya Gan: College of Auditing and Evaluation, Nanjing Audit University, Nanjing 211815, China
Hsuan-Shih Lee: Department of Shipping and Transportation Management, National Taiwan Ocean University, Keelung 20224, Taiwan
Yu-Jwo Tao: Department of Shipping and Transportation Management, National Taiwan Ocean University, Keelung 20224, Taiwan
Chang-Shu Tu: Department of Information Management, Chang Gung University, Taoyuan 33333, Taiwan

Sustainability, 2021, vol. 13, issue 12, 1-19

Abstract: Responding to the increasing global need for environmental protection, a green port balances economic vibrancy with environmental protection. However, because exhaust emissions (e.g., CO 2 or sulfide) are difficult to monitor around ports, data on such emissions are often incomplete, which hinders research on this topic. The present study aimed to fill this gap in this topic. To remedy this problem, this study formulated a new data envelopment analysis (DEA) method for collecting CO 2 emissions data at their source. This method was applied to collect real-world operating data from a large container-handling company in Taiwan. Specifically, we provide a real example using a novel green energy index to account for undesirable outputs. Our main objective was to formulate two methods that combine: (1) data envelopment analysis based on a modified slack-based measure, and (2) a multi-choice goal programming approach. The contributions of this paper included the finding that rubber-tired gantry cranes are the greenest and should be used in ports. Finally, our findings aid port managers in selecting port equipment that provides the best balance between environmental protection and profitability.

Keywords: green performance; sustainable development; port equipment; CO 2 emission; data envelopment analysis (DEA); multichoice goal programming (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2021
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