Container Sea Ports and Dry Ports: Future CO 2 Emission Reduction Potential in China

Weidong Li, Olli-Pekka Hilmola and Yulia Panova
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Weidong Li: School of Economics & Management, Beijing Jiaotong University, Beijing 100044, China
Olli-Pekka Hilmola: School of Economics & Management, Beijing Jiaotong University, Beijing 100044, China
Yulia Panova: Department of E-Commerce, Luoyang Normal University, Luoyang 471934, China

Sustainability, 2019, vol. 11, issue 6, 1-21

Abstract: Nowadays, China dominates logistics volumes, and its container logistics is associated with the largest sea ports, such as Shanghai, Shenzhen, and Ningbo. However, China’s coastal line is long and contains numerous million-container-handling sea ports. Current leading sea ports are located mostly in the south or at the middle point of the coastal line. Volumes are rather concentrated in these few areas. Despite the fact that China’s vast population is well-spread throughout the coastal line, major cities are also located in the hinterlands. Apart from some regions (e.g., the Pearl and the Yangtze River Delta) where there are many cities that are very close to each other, distances between cities are rather long in general. Therefore, this research examines the CO 2 emission reduction potential of using a larger number of sea ports (such as distribution hubs), as well as the interaction of these with analytically chosen dry ports. Results of the hypothetical country level container transportation model, using linear integer programming concerning 51 cities (largest hinterland and container sea port cities), showed that better and more equal use of sea ports serving the major cities will result in considerable emission reductions. This is the case, even if hinterland transport is completely based on road transports. However, in a situation where the dry port structure with railways is further applied, the results showed that it should be concentrated on a few hinterland points first, but also assure that most remote, million-people city locations get priority for the railway.

Keywords: dry ports; sea ports; China; CO 2 emissions; analytical model (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2019
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (5)

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