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Analysis of the Efficiency of Transport Infrastructure Connectivity and Trade

Author

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  • Narthsirinth Netirith

    (Transportation Engineering College, Dalian Maritime University, Ganjingzi District, Dalian 116026, China)

  • Mingjun Ji

    (Transportation Engineering College, Dalian Maritime University, Ganjingzi District, Dalian 116026, China)

Abstract

Analyzing the efficiency of transport infrastructure connectivity and trade in the Regional Comprehensive Economic Partnership (RCEP) is very important for regional integration for international trade in the RCEP. This study aims to significantly measure the efficiency of the connectivity of infrastructure in the RCEP for improving the performance of infrastructure connection and suggest the way to improve the connection of infrastructure. Therefore, the input and output variables of infrastructure connectivity have been inserted to achieve this objective. The inputs are: the number of ports, rail range, and road networks, the number of land borders, the number of maritime borders, number of cross border points, railway linkage with other countries, number of ports connected with railways, and the number of ports connected with road base on the “intermodal and multimodal concept”. On the other hand, the output factors most related to trade and economics are GDP, transport, import, and export volume. The paper applied DEA (Data Envelopment Analysis) model by using DEAP software to analyze the data. The result reveals that the efficiency of infrastructures connectivity and international trade in 10 countries were efficient and 5 countries were inefficient. The research study presents ways of development to improve the connectivity by investing in the basic infrastructures, such as increasing the logistics connection points and driving forward for international trade in the RCEP.

Suggested Citation

  • Narthsirinth Netirith & Mingjun Ji, 2022. "Analysis of the Efficiency of Transport Infrastructure Connectivity and Trade," Sustainability, MDPI, vol. 14(15), pages 1-12, August.
    • Handle: RePEc:gam:jsusta:v:14:y:2022:i:15:p:9613-:d:880522
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    1. Yang, Yitao & Jia, Bin & Yan, Xiao-Yong & Zhi, Danyue & Song, Dongdong & Chen, Yan & de Bok, Michiel & Tavasszy, Lóránt A. & Gao, Ziyou, 2023. "Uncovering and modeling the hierarchical organization of urban heavy truck flows," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 179(C).
    2. Tumun Sh. Rygzynov & Valentin S. Batomunkuev & Bair O. Gomboev & Suocheng Dong & Bayanzhargal B. Sharaldaev & Valentina G. Ayusheeva & Aldar G. Badmaev & Marina A. Motoshkina & Natalya R. Zangeeva & A, 2023. "Efficiency of Transport Infrastructure in Asian Russia, China, Mongolia, and Kazakhstan in the Context of Creating New Trans-Eurasian Transport Corridors," Sustainability, MDPI, vol. 15(12), pages 1-13, June.

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