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Impacts of COVID-19 pandemic on foreign trade intermodal transport accessibility: Evidence from the Yangtze River Delta region of mainland China

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  • Hou, Weilu
  • Shi, Qin
  • Guo, Liquan

Abstract

We address the problem of the impacts of COVID-19 pandemic on foreign trade transport by introducing a foreign trade intermodal transport accessibility (FTITA) index. First, we present the definition of FTITA, which combines the convenience of transporting domestic cargoes to overseas regions by an international intermodal transport network and the trade attractiveness of the domestic cargoes in the overseas regions. Second, we analyze the path choice behaviors of domestic shippers and propose the measurement method of the FTITA index. Finally, using the 41 cities in the Yangtze River Delta region in mainland China as origins and eight overseas regions as destinations, we empirically analyze the impacts of COVID-19 pandemic on the FTITA. With the empirical study conducted in the prepandemic and postpandemic years, we analyzed the overall trends of the FTITAs from the YRD region to eight overseas regions, spatial patterns of the distributions of the FTITAs in the YRD region, rankings of average FTITA values for the top ten cities in the YRD region, and the FTITAs for different cargoes. The results indicate that the FTITAs of the YRD region in the prepandemic year are significantly higher than those in the postpandemic year. Moreover, in both the prepandemic and postpandemic years, the FTITAs to North America, Japan/South Korea, Europe, and Southeast Asia are significantly higher than those to Oceania, Middle East, South America, and Africa. Through analysis of the spatial patterns of the FTITAs across cities in the YRD region, we find that the cities with high FTITA are mainly close to Shanghai Port and Ningbo Port; the cities with middle-high FTITA are mainly located in southern Zhejiang and the regions along the Yangtze River; the cities with middle-low FTITA are mainly located in northern Jiangsu; and the cities with low FTITA are located in northern Anhui. Furthermore, comparing the impacts of COVID-19 pandemic on the FTITAs for different cargoes, we observe that COVID-19 has the least impact on foodstuffs and event cargoes. Our findings can guide decision makers in implementing policies for alleviating the impacts of COVID-19 pandemic on foreign trade transport and further promoting the sustainable development of port and shipping industries.

Suggested Citation

  • Hou, Weilu & Shi, Qin & Guo, Liquan, 2022. "Impacts of COVID-19 pandemic on foreign trade intermodal transport accessibility: Evidence from the Yangtze River Delta region of mainland China," Transportation Research Part A: Policy and Practice, Elsevier, vol. 165(C), pages 419-438.
    • Handle: RePEc:eee:transa:v:165:y:2022:i:c:p:419-438
    DOI: 10.1016/j.tra.2022.09.019
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    as
    1. Auer, Raphael A., 2015. "Human capital and the dynamic effects of trade," Journal of Development Economics, Elsevier, vol. 117(C), pages 107-118.
    2. Páez, Antonio & Anjum, Zoha & Dickson-Anderson, Sarah E. & Schuster-Wallace, Corinne J. & Martín Ramos, Belén & Higgins, Christopher D., 2020. "Comparing distance, time, and metabolic energy cost functions for walking accessibility in infrastructure-poor regions," Journal of Transport Geography, Elsevier, vol. 82(C).
    3. Feyrer, James, 2021. "Distance, trade, and income — The 1967 to 1975 closing of the Suez canal as a natural experiment," Journal of Development Economics, Elsevier, vol. 153(C).
    4. Wang, Guangchao & Chen, Anthony & Kitthamkesorn, Songyot & Ryu, Seungkyu & Qi, Hang & Song, Ziqi & Song, Jianguo, 2020. "A multi-modal network equilibrium model with captive mode choice and path size logit route choice," Transportation Research Part A: Policy and Practice, Elsevier, vol. 136(C), pages 293-317.
    5. David Levinson & Hao Wu, 2020. "Towards a general theory of access," Working Papers 2022-01, University of Minnesota: Nexus Research Group.
    6. Xuan Qiu & Jasmine Siu Lee Lam, 2018. "The Value of Sharing Inland Transportation Services in a Dry Port System," Transportation Science, INFORMS, vol. 52(4), pages 835-849, August.
    7. Kelobonye, Keone & Zhou, Heng & McCarney, Gary & Xia, Jianhong (Cecilia), 2020. "Measuring the accessibility and spatial equity of urban services under competition using the cumulative opportunities measure," Journal of Transport Geography, Elsevier, vol. 85(C).
    8. Martínez-Moya, Julián & Feo-Valero, María, 2020. "Measuring foreland container port connectivity disaggregated by destination markets: An index for Short Sea Shipping services in Spanish ports," Journal of Transport Geography, Elsevier, vol. 89(C).
    9. Qu, Chenrui & Zeng, Qingcheng & Li, Kevin X. & Lin, Kun-Chin, 2020. "Modeling incentive strategies for landside integration in multimodal transport chains," Transportation Research Part A: Policy and Practice, Elsevier, vol. 137(C), pages 47-64.
    10. Feng, Pingping & Zhou, Xiaoyang & Zhang, Ding & Chen, Zhaobo & Wang, Shouyang, 2022. "The impact of trade policy on global supply chain network equilibrium: A new perspective of product-market chain competition," Omega, Elsevier, vol. 109(C).
    11. Liquan Guo & Zhongzhen Yang, 2019. "Relationship Between Shipping Accessibility and Maritime Transport Demand: the Case of Mainland China," Networks and Spatial Economics, Springer, vol. 19(1), pages 149-175, March.
    12. Tao, Xuezong & Zhu, Lichao, 2020. "Meta-analysis of value of time in freight transportation: A comprehensive review based on discrete choice models," Transportation Research Part A: Policy and Practice, Elsevier, vol. 138(C), pages 213-233.
    13. Gordon Wilmsmeier & Jan Hoffmann, 2008. "Liner Shipping Connectivity and Port Infrastructure as Determinants of Freight Rates in the Caribbean," Maritime Economics & Logistics, Palgrave Macmillan;International Association of Maritime Economists (IAME), vol. 10(1-2), pages 130-151, March.
    14. Lam, Jasmine Siu Lee & Yap, Wei Yim, 2011. "Dynamics of liner shipping network and port connectivity in supply chain systems: analysis on East Asia," Journal of Transport Geography, Elsevier, vol. 19(6), pages 1272-1281.
    15. Saidi, Samir & Mani, Venkatesh & Mefteh, Haifa & Shahbaz, Muhammad & Akhtar, Pervaiz, 2020. "Dynamic linkages between transport, logistics, foreign direct Investment, and economic growth: Empirical evidence from developing countries," Transportation Research Part A: Policy and Practice, Elsevier, vol. 141(C), pages 277-293.
    16. Fragoso Januário, João & Costa, Álvaro & Oliveira Cruz, Carlos & Miranda Sarmento, Joaquim & Faria e Sousa, Vítor, 2021. "Transport infrastructure, accessibility, and spillover effects: An empirical analysis of the Portuguese real estate market from 2000 to 2018," Research in Transportation Economics, Elsevier, vol. 90(C).
    17. Low, Joyce M.W. & Lam, Shao Wei & Tang, Loon Ching, 2009. "Assessment of hub status among Asian ports from a network perspective," Transportation Research Part A: Policy and Practice, Elsevier, vol. 43(6), pages 593-606, July.
    18. Cascetta, Ennio & Cartenì, Armando & Montanino, Marcello, 2016. "A behavioral model of accessibility based on the number of available opportunities," Journal of Transport Geography, Elsevier, vol. 51(C), pages 45-58.
    19. Duncan, Lawrence Christopher & Watling, David Paul & Connors, Richard Dominic & Rasmussen, Thomas Kjær & Nielsen, Otto Anker, 2020. "Path Size Logit route choice models: Issues with current models, a new internally consistent approach, and parameter estimation on a large-scale network with GPS data," Transportation Research Part B: Methodological, Elsevier, vol. 135(C), pages 1-40.
    20. Cheung, Kam-Fung & Bell, Michael G.H. & Pan, Jing-Jing & Perera, Supun, 2020. "An eigenvector centrality analysis of world container shipping network connectivity," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 140(C).
    21. Widener, Michael J. & Farber, Steven & Neutens, Tijs & Horner, Mark, 2015. "Spatiotemporal accessibility to supermarkets using public transit: an interaction potential approach in Cincinnati, Ohio," Journal of Transport Geography, Elsevier, vol. 42(C), pages 72-83.
    22. Zhao, Qianyu & Xu, Hang & Wall, Ronald S & Stavropoulos, Spyridon, 2017. "Building a bridge between port and city: Improving the urban competitiveness of port cities," Journal of Transport Geography, Elsevier, vol. 59(C), pages 120-133.
    23. Tovar, Beatriz & Wall, Alan, 2022. "The relationship between port-level maritime connectivity and efficiency," Journal of Transport Geography, Elsevier, vol. 98(C).
    24. Wang, Grace W.Y. & Zeng, Qingcheng & Li, Kevin & Yang, Jinglei, 2016. "Port connectivity in a logistic network: The case of Bohai Bay, China," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 95(C), pages 341-354.
    25. Su, Yaqin & Liu, Zhiqiang, 2016. "The impact of foreign direct investment and human capital on economic growth: Evidence from Chinese cities," China Economic Review, Elsevier, vol. 37(C), pages 97-109.
    26. Jiang, Jianlin & Lee, Loo Hay & Chew, Ek Peng & Gan, Chee Chun, 2015. "Port connectivity study: An analysis framework from a global container liner shipping network perspective," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 73(C), pages 47-64.
    27. Guo, Liquan & Ng, Adolf K.Y. & Jiang, Changmin & Long, Jiancheng, 2021. "Stepwise capacity integration in port cluster under uncertainty and congestion," Transport Policy, Elsevier, vol. 112(C), pages 94-113.
    28. Ibrahim, Muazu & Sare, Yakubu Awudu, 2018. "Determinants of financial development in Africa: How robust is the interactive effect of trade openness and human capital?," Economic Analysis and Policy, Elsevier, vol. 60(C), pages 18-26.
    29. Liquan Guo & Zhongzhen Yang, 2018. "Evaluation of foreign trade transport accessibility for Mainland China," Maritime Policy & Management, Taylor & Francis Journals, vol. 45(1), pages 34-52, January.
    30. Dadashpoor, Hashem & Arasteh, Mojtaba, 2020. "Core-port connectivity: Towards shaping a national hinterland in a West Asia country," Transport Policy, Elsevier, vol. 88(C), pages 57-68.
    31. Witte, Patrick & Wiegmans, Bart & Ng, Adolf K.Y., 2019. "A critical review on the evolution and development of inland port research," Journal of Transport Geography, Elsevier, vol. 74(C), pages 53-61.
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