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A Comparative Study on the Types and its Importance of Trade Claims between China and the United States: Using Text Mining Techniques

중국과 미국의 무역클레임 유형과 중요도 비교 연구 : 텍스트 마이닝 기법을 활용하여

  • Cheon Yu (Department of International Trade, Mokpo National University) ;
  • Yun-Seop Hwang (Department of International Business and Trade, KyungHee University)
  • 유천 (목포대학교 무역학과) ;
  • 황윤섭 (경희대학교 무역학과)
  • Received : 2022.05.31
  • Accepted : 2022.06.27
  • Published : 2022.06.30

Abstract

This study is designed to identify the differences in the types and importance of trade claims at the national level. For analysis data, abstracts of arbitration and court judgments published on the website of the United Nations Commission on International Trade Law are collected and used. The target countries are China and the United States, with 102 cases from China and 59 cases from the United States. By applying topic modeling techniques to the collection decisions of China and the United States, trade claims are categorized, and the importance of each type is identified using the network centrality index derived through semantic network analysis. The analysis results are as follows. First, the main types of trade claims were the same for both the United States and China: product nonconformity, delivery issues, and payments. However, in China, the order of product nonconformity > delivery issues > payments was important, and in the United States, payments > product nonconformity > delivery issues were found to be important. This study is significant in that it presents a strategic trade claim management plan using a quantitative methodology.

Keywords

Acknowledgement

This work was supported by the Ministry of Education of the Republic of Korea and the National Research Foundation of Korea (NRF-2021S1A5A8063086)

References

  1. Bandyopadhyay, S., and Robicheaux, R. A. (1997), "Dealer satisfaction through relationship marketing across cultures", Journal of Marketing Channels, 6(2), 35-55. https://doi.org/10.1300/J049v06n02_03
  2. Berelson, B. (1952), Content Analysis in Communication Research, Glencoe, Ill: Free Press
  3. Choi, Heung-sub (2005), Interpretation of the United Nations Convention on Contracts for the International Sale of Goods, Ministry of Justice.
  4. Christy, R., Oliver, G., and Penn, J. (1996), "Relationship marketing in consumer markets", Journal of Marketing Management, 12(1-3), 175-187.
  5. Deerwester, S., Dumais, S. T., Furnas, G. W., Landauer, T. K., and Harshman, R. (1990), "Indexing by latent semantic analysis", Journal of the American Society for Information Science, 41(6), 391-407. https://doi.org/10.1002/(SICI)1097-4571(199009)41:6<391::AID-ASI1>3.0.CO;2-9
  6. Evans, M., McIntosh, W., Lin, J., and Cates, C. (2007), "Recounting the courts? Applying automated content analysis to enhance empirical legal research", Journal of Empirical Legal Studies, 4(4), 1007-1039. https://doi.org/10.1111/j.1740-1461.2007.00113.x
  7. Freeman, L. C. (2005), Graphic Techniques for Exploring Social Network Data. In Peter J. Carrington, John Scott, Stanley Wasserman (Eds.), Models and Methods in Social Network Analysis, 248-269, New York: Cambridge University Press.
  8. Gentzkow, M., Kelly, B., and Taddy, M. (2019), "Text as data". Journal of Economic Literature, 57(3), 535-74. https://doi.org/10.1257/jel.20181020
  9. Hall, M. A., and Wright, R. F. (2008), "Systematic content analysis of judicial opinions", Calif. L. Rev., 96, 63.
  10. Hansen, D., Shneiderman, B., and Smith, M. (2009), "Analyzing Social Media Networks: Learning by Doing with NodeXL", Computing, 28(4), 1-47.
  11. Harris, Z. S. (1954), "Distributional structure". Word, 10(2-3), 146-162. https://doi.org/10.1080/00437956.1954.11659520
  12. Holsti, O. R. (1969), Content Analysis for the Social Sciences and Humanities, Reading, MA: Addison-Wesley Publishing Company.
  13. Hornik, K., and Grun, B. (2011), "An R Package for Fitting Topic Models". Journal of Statistical Software, 40(13), 1-30.
  14. Jiang, K., Barnett, G. A., and Taylor, L. D. (2016), "Dynamics of culture frames in international news coverage: A semantic network analysis", International Journal of Communication, 10, 27.
  15. Kim, Jae-Myung (2011), Trade Claims and ADR, Seoul: Dunam Press.
  16. Kim, Suk-Chul (2013), Trade Claims Arbitration Practices, Seoul: Chongmok Press.
  17. Laver, M., Benoit, K., and Garry, J. (2003), "Extracting policy positions from political texts using words as data", American Political Science Review, 97(2), 311-331.
  18. McDonald, S., and Ramscar, M. (2001), Testing the distributional hypothesis: The influence of context on judgements of semantic similarity, In Proceedings of the Annual Meeting of the Cognitive Science Society (Vol. 23, No. 23).
  19. Nahm, Choon-Ho (2016), "An Illustrative Application of Topic Modeling Method to a Farmer's Diary", Cross-Cultural Studies, 22(1), 89-135.
  20. Palmer, A. (1994), "Relationship marketing: back to basics?", Journal of Marketing Management, 10(7), 571-579. https://doi.org/10.1080/0267257X.1994.9964305
  21. Park, Sung-Ho (2016), Trade Claims and Commercial Arbitration, Seoul: UwonBooks
  22. Ponweiser, M. (2012), Latent Dirichlet Allocation in R (Diploma Thesis), Vienna: WU Vienna University of Economics and Business.
  23. Porta, R. L., Lopez-de-Silanes, F., Shleifer, A., and Vishny, R. W. (1998), "Law and finance", Journal of Political Economy, 106(6), 1113-1155. https://doi.org/10.1086/250042
  24. Rajamma, R. K., Zolfagharian, M. A., and Pelton, L. E. (2011), "Dimensions and outcomes of B2B relational exchange: a meta-analysis", Journal of Business and Industrial Marketing. 26(2), 104-114. https://doi.org/10.1108/08858621111112285
  25. Shin, Doo-Shik and Lee, Joo-Won (2012), International Trade Claims and Arbitration Practice, Seoul: Dunam Press.
  26. Shin, Koon-Jae (2007), "An Empirical Study on the Relationship between the Characteristics of Firms and Contracts and the Experience of Claims", Korea Trade Review, 32(5), 155-178.
  27. Tong, Z., and Zhang, H. (2016), A Text Mining Research based on LDA Topic Modelling, Jordery School of Computer Science, Acadia University, 201-210.
  28. Wasserman, S., and Faust, K. (1994), Social network analysis: Methods and applications, New York: Cambridge University Press.
  29. Weaver, W. (1955), "Translation", Machine Translation of Languages, 14(15-23), 10.
  30. Weber, R. P. (1990), Basic Content Analysis, Newburry Park, CA: Sage Publications.
  31. Yu, C. (2019), "An Empirical Study on Trade Claim Management from a Relational Perspective", Journal of Korea Trade, 23(6), 14-32. https://doi.org/10.35611/jkt.2019.23.6.14
  32. Yu, C., Choi, D., and Hwang, Y. S. (2020), "Is Text Mining on Trade Claim Studies Applicable? Focused on Chinese Cases of Arbitration and Litigation Applying the CISG", Journal of Korea Trade, 24(8), 171-188.
  33. Zhou, J. Q., and Peng, M. W. (2010), "Relational exchanges versus arm's-length transactions during institutional transitions", Asia Pacific Journal of Management, 27(3), 355-370. https://doi.org/10.1007/s10490-009-9142-7