한국항만경제학회지 (Journal of Korea Port Economic Association)

  • 제40권3호
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  • Pages.187-210
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  • 2024
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  • 1225-3855(pISSN)
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  • 2714-1330(eISSN)
한국항만경제학회 (The Korea Port Economic Association)
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미·중 무역 갈등과 팬데믹 상황에서 중국 연안 화주의 컨테이너 선사 선정 요인 분석

Factors Influencing Chinese Coastal Shippers' Carrier Selection Amid the U.S.-China Trade Conflict and the COVID-19 Pandemic

  • 주신위안 (전남대학교 대학원 교통물류학과 ) ;
  • 박병인 (전남대학교 물류교통학과 )
  • 투고 : 2024.09.13
  • 심사 : 2024.09.29
  • 발행 : 2024.09.30
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초록

본 연구는 미·중 무역 갈등과 COVID-19 팬데믹이라는 긴박한 시점에 해운시장 개방정책을 추진 중인 중국에서 연안 화주의 컨테이너 선사 선택 요인을 분석한 것이다. 부분최소제곱 구조방정식 모델(PLS-SEM)을 이용하여 설문조사 데이터를 분석한 결과, 복합 운송 서비스, 선사의 운영 능력, 물류 리스크 관리가 주요 결정 요인으로 도출되었으며, 특히 영업 사원의 전문성, 화물 안전성, 성수기 선대 안정성이 중요한 요소로 확인되었다. 미·중 무역 갈등과 팬데믹으로 인한 공급망 불안정은 화주들이 리스크 관리와 운송 안정성을 더욱 중시하게 만든 주요 요인으로 작용하였으며, 이는 선사의 서비스 품질과 영업 역량의 중요성을 부각시켰다. 본 연구는 변화하는 글로벌 환경에 대응하여 선사들이 리스크 관리 역량을 강화하고 서비스 품질을 개선할 필요성을 제시한다. 더불어, 정책 입안자들에게는 해운 산업의 불확실성을 완화하기 위한 규제 개선의 필요성을 제안한다. 향후 연구에서는 이러한 외부 요인들이 장기적으로 선사 선택에 미치는 영향을 보다 심층적으로 탐구할 필요가 있다.

This study examines the factors influencing container shipping carrier selection among coastal shippers in China amid the pressing external challenges posed by the U.S.-China trade conflict and the COVID-19 pandemic, during a period when China is implementing policies to open its maritime market. Using Partial Least Squares Structural Equation Modeling (PLS-SEM) to analyze survey data, the research identifies multi-modal transportation services, carrier operational capabilities, and logistics risk management as key determinants. Notably, salesperson professionalism, cargo safety, and fleet stability during peak periods emerged as critical factors for shippers. The disruptions caused by the trade conflict and the pandemic have heightened shippers' focus on risk management and transportation reliability, further emphasizing the importance of carrier service quality and operational capabilities. This study underscores the need for carriers to strengthen their risk management capacities and enhance service quality in response to shifting global conditions. Additionally, the findings suggest that policymakers should consider regulatory adjustments to mitigate uncertainties in the shipping industry. Future research should delve deeper into the long-term impacts of external shocks on carrier selection decisions.

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과제정보

본 논문은 해양수산부 제4차 해운항만물류 전문인력양성사업의 지원을 받아 수행된 연구임

참고문헌

  1. 박병인(2022), 사하라 이남 아프리카 및 중국 화주의 항만 선택행위 평가, 물류학회지, 32(6), 1-22.
  2. 中国政府网(2021), 去年中国海运进出口量达34.6亿吨。 https://www.gov.cn/xinwen/2021-07/12/content_5624224.htmd에서검색(2024년 05월 31일 검색)
  3. 季则舟, 杨兴宴, 尤再进, 侯伟(2016), 中国沿海港口建设现状及发展趋势, 中国科学院院报, 31(10), 1211-1217.
  4. 浙江大学公共政策研究院(2021), 中国人口流动及其对区域关系的影响。 http://www.ggzc.zju.edu.cn/2021/0312/c54184a2266429/page.htm에서 검색(2024년 08월 29일 검색)
  5. 孙久文, 蒋治(2021), 中国沿海地区高质量发展的路径. 地理学报(02), 277-294.
  6. Alioni, C., B. I. Park and H. Min(2024), Examining success factors for logistics outsourcing in Sub-Saharan Africa, Transportation Journal, 63(2), 98-110.
  7. Bagozzi, R. P., Y. Yi and L. W. Phillips(1991), Assessing Construct Validity in Organizational Research, Administrative Science Quarterly, 36, 421-458.
  8. Brooks, M. R.(1984), An alternative theoretical approach to the evaluation of liner shipping-part I: situational factors, Maritime Policy and Management, 11 (1), 35-43.
  9. Brooks, M. R.(1985), An alternative theoretical approach to the evaluation of liner shipping-part II: choice criteria, Maritime Policy and Management, 12(2), 145-155.
  10. Brooks, M. R.(1990), Ocean carrier selection criteria in a new environment, Logistics and Transportation Review, 26 (4), 339-356.
  11. Chin, W. W and G. Marcoulides(1998), The Partial Least Squares Approach to Structural Equation Modeling, Modern Methods for Business Research, 295-336.
  12. Chin, W. W., J. H. Cheah, Y. Liu, H. Ting, X. J. Lim and T. H. Cham(2020), Demystifying the role of causal-predictive modeling using partial least squares structural equation modeling in information systems research, Industrial Management & Data Systems, 120(12), 2161-2209.
  13. Cohen, J.(1988), Statistical Power Analysis for the Behavioral Sciences (2nd ed), Hillsdale, NJ: Lawrence Erlbaum Associates.
  14. Drewry Shipping Consultants(2015), Container Performance Insight, http://www.drewry.co.uk/에서 검색(2024년 08월 01일 검색)
  15. Danielis, R., E. Marcucci and L. Rotaris(2005), Logistics Managers' Stated Preferences for Freight Service Attributes, Transportation Research Part E: Logistics and Transportation Review, 41, 201-215.
  16. Durvasula, S., S. Lysonski and S. C. Mehta(2000), Business-to-business marketing Service recovery and customer satisfaction issues with ocean shipping lines, European Journal of Marketing, 34, 433-452.
  17. Hirata, E.(2019), Service characteristics and customer satisfaction in the container liner shipping industry, The Asian Journal of Shipping and Logistics, 35(1), 24-29.
  18. D'agostini, E., S. Jo, H. S. Nam and Y. S. Kim(2022), Q-method and its application in clustering Hong Kong shippers' selection criteria of ocean carriers, Research in Transportation Business & Management, 44(3), 100785.
  19. Fulzele, V., R. Shankar and D. Choudhary(2019), A Model for the Selection of Transportation Modes in the Context of Sustainable Freight Transportation, Industrial Management Data Systems, 119(8), 1764-1784.
  20. Gold, A. H., A. Malhotra and A. H. Segars(2001), Knowledge Management: An Organizational Capabilities Perspective, Journal of Management Information Systems, 18, 185-214.
  21. Hair, J. F., G. T. M. Hult, C. M. Ringle and M. Sarstedt(2022), A Primer on Partial Least Squares Structural Equation Modeling (PLS-SEM) (3nd ed), Thousand Oaks, CA: Sage.
  22. Hair, J. F., C. M. Ringle and M. Sarstedt(2011), PLS-SEM: Indeed A Sliver Bullet, Journal of Marketing Theory and Practice, 19, 139-151.
  23. Jozef, E., K. M. Kumar, M. Iranmanesh and B. Foroughi(2019), The effect of green shipping practices on multinational companies' loyalty in Malaysia, The International Journal of Logistics Management, 30(4), 974-993.
  24. Jung, H., J. Kim and K. Shin(2019), Importance Analysis of Decision Making Factors for Selecting International Freight Transportation Mode, The Asian Journal of Shipping and Logistics, 35(1), 55-62.
  25. Kandampully, J and H. H. Hu(2007), Do Hoteliers Need to Manage Image to Retain Loyal Customers?. International Journal of Contemporary Hospitality Management, 19(6), 435-443.
  26. Kandampully, J and D. Suhartanto(2000), Customer loyalty in the hotel industry: The role of customer satisfaction and image, International Journal of Contemporary Hospitality Management, 12(6), 346-351.
  27. Kannan, V.(2010), Benchmarking the service quality of ocean container carriers using AHP, Benchmarking An International Journal, 17(5), 637-656.
  28. Kline, R. B.(2016), Principles and Practice of Structural Equation Modeling (4th ed), New York, NY The Guilford Press.
  29. Kent, J. L and R. S. Parker(1999), International containership carrier selection criteria Shippers/carriers differences, International Journal of Physical Distribution & Logistics Management, 29(6), 398-408.
  30. Kashmanian, R. M.(2017), Building Greater Transparency in Supply Chains to Advance Sustainability, Environmental Quality Management, 26, 73-104.
  31. Lu, C. S.(2003a), The impact of carrier service attributes on shipper-carrier partnering relationships: A shipper's perspective, Transportation Research Part E: Logistics and Transportation Review, 9(5), 399-415.
  32. Lu, C. S.(2003b), An evaluation of service attributes in a partnering relationship between maritime firms and shippers in Taiwan, Transportation Journal, 42(5), 5-16.
  33. Lu, J. L.(2013), Investigating critical factors that influence shippers' and international freight forwarders' preferences in carrier selection using integrated hierarchical information integration approach, Journal of Marine Science and Technology (Taiwan), 21, 182-190.
  34. Liu, C. L., K. C. Shang, T. C. Lirn, K. H. Lai and V. Lun(2018), Supply chain resilience, firm performance, and management policies in the liner shipping industry, Transportation Research Part A: Policy and Practice, 110, 202-219.
  35. Lin, H. F and K. L. Chang(2017), Key success factors of international market development: An empirical study of the Taiwan bulk shipping industry, Maritime Business Review, 2(2), 79-98.
  36. Maersk News(2023), How Maersk Go helped a family business realise their global ambitions, https://www.maersk.com/news/articles/2023/08/25/how-maersk-helped-a-family-business-realise-its-global-ambitions에서 검색(2024년 06월 15일 검색)
  37. Maersk News(2019), Maersk introduces Maersk Spot, a new fully online product that simplifies the buying process for customers, https://www.maersk.com/news/articles/2019/06/25/maersk-introduces-maersk-spot에서검색 (2024년 06월 15일 검색)
  38. Mehta, S. C., A. Lobo and S. S. Mehta(1997), Important Dimensions in Ocean Freight Services: Shippers' Perspective, Journal of Customer Service in Marketing & Management, 3(3), 85-100.
  39. McGinnis, M. A(1979), Shipper Attitudes toward Freight Transportation Choice: A Factor Analytic Study, International Journal of Physical Distribution & Logistics Management, 10, 25-34.
  40. Martineau, P(1958), The personality of the retail store, Harvard Business Review, 36, 47-55.
  41. Maloni, M. J., D. M. Gligor and I. N. Lagoudis (2016), Linking ocean container carrier capabilities to shipper carrier relationships: a case study. Maritime Policy & Management, 43(8), 959-975.
  42. Murphy P. R and P. K. Hall(1995), The Relative Importance of Cost and Service in Freight Transportation Choice Before and After Deregulation: An Update, Transportation Journal, 35(1), 30-38.
  43. Mokhtari, K and J. Ren(2014), A risk management methodology for maritime logistics and supply chain applications, Ocean Systems Engineering, 4(2), 137-150.
  44. Meng, L., J. Wang, W. Yan and C. Han(2022), A differential game model for emission reduction decisions between ports and shipping enterprises considering environmental regulations, Ocean & Coastal Management, 225, 106221.
  45. Nagurney, A., S. Saberi, S. Shukla and J. Floden(2015), Supply Chain Network Competition in Price and Quality with Multiple Manufacturers and Freight Service Providers, Transportation Research Part E: Logistics Transportation Review, 77(C), 248-267.
  46. Nunnally, J. C(1967), Psychometric theory, New York: McGraw-Hill.
  47. Pearson, R(1980), Containerline performance and service quality, Marine transport centre, Liverpool: University of Liverpool.
  48. Queiroz, M. M., R. Telles and S.H. Bonilla (2020), "Blockchain and supply chain management integration: a systematic review of the literature", Supply Chain Management, 25(2), 241-254.
  49. Stopford, M(2008), Maritime Economics. Routledge.
  50. Shmueli, G., S. Ray, J. V. Estrada and S. B. Chatla(2016), The elephant in the room: Evaluting the predictive performance of PLS models, Journal of Business Research, 69(10), 4552-4564.
  51. Shen, L., K. Mathiyazhagan, D. Kannan and W. Ying(2015), Study on analysing the criteria's for selection of shipping carriers in Chinese shipping market using analytical hierarchy process, International Journal of Shipping and Transport Logistics, 7(6), 742-757.
  52. Swan, P. F and J. E. Tyworth(2001), Shipper sensitivity to unreliable service in carload markets, Transportation Journal, 40(3), 16-25.
  53. Schmoltzi, C and C. M. Wallenburg(2011), Horizontal cooperations between logistics service providers: motives, structure, performanc, International Journal of Physical Distribution & Logistics Management, 41(6), 552-575.
  54. Ringle, C. M., S. Wende and J. M. Becker (2022), SmartPLS 4, Oststeinbek: SmartPLS, GmbH, http://www.smartpls.com.
  55. Roh, T., K. S. Park, Y. Oh and J. Noh(2021), How Shipping Company Satisfies Shippers Through Service Quality in South Korea: The Mediation Role of Trust, Journal of Korea Trade, 25(2), 19-38.
  56. Sletmo, G. K and S. Holste(1994), Shipper's councils: role and responsibility a western view, Maritime Policy & Management, 21(4), 257-271.
  57. Teo, T. S. H., S. C. Srivastava and L. Jiang (2008), Trust and Electronic Government Success: An Empirical Study, Journal of Management Information Systems, 25(3), 99-132.
  58. Tiwari, P., H. Itoh and M. Doi(2003), Shippers' Port and Carrier Selection Behaviour in China: A Discrete Choice Analysis, Maritime Economics and Logistics, 5(1), 23-39.
  59. Tyworth, J. E and A. Z. Zeng(1998), Estimating the effects of carrier transit-time performance on logistics cost and service, Transportation Research Part A: Policy and Practice, 32(2), 89-97.
  60. UNCTAD(2021), Review of maritime transport. United Nations conference on trade and development, United Nations Publication, Geneva.
  61. World Trade Organization(2023), Global Trade Outlook and Statistics, WTO Publications, Switzerland.
  62. Xiao, G., D. Yang, L. Xu, J. Li and Z. Jiang(2024), The Application of Artificial Intelligence Technology in Shipping: A Bibliometric Review, Journal of Marine Science and Engineering, 12(4), 624.
  63. Yuen, K. F and V. V. Thai(2015), Service Quality and Customer Satisfaction in Liner Shipping, International Journal of Quality and Service Sciences, 7(2/3), 170-183.
  64. Yilmaz, O and S. Savasaneril(2012), Collaboration among small shippers in a transportation market, European Journal of Operational Research, 218(2), 408-415.
  65. Zhang, Z and M. A. Figliozzi(2009), A Survey of China's Logistics Industry and the Impacts of Transport Delays on Importers and Exporters. Transport Reviews, 30(2), 179-194.