Determinants of Staging Categories for Tariff Elimination in the Bilateral Tariff Arrangement between China and Japan under RCEP
- DOI
- 10.2991/978-94-6463-504-1_27How to use a DOI?
- Keywords
- RCEP; Tariff concession arrangement; Balance of interests; Influencing factors
- Abstract
RCEP is the first free trade arrangement between China and Japan. This paper takes the tariff concession arrangement between China and Japan under RCEP as the research object, puts forward determinants and uses the ordered Probit model for empirical testing. The research finds that, Japan has a tendency to trade protection based on national interests, and the two countries have different interest demands for products with high level of intra-industry trade. China prefers protection to safeguard group interests, while Japan prefers liberalization to promote intra-industry trade. Meanwhile, both countries show the feature of pursuing diversification of export markets, but only China follows the principle of reciprocity in tariff concessions. The findings will provide reference for China to formulate tariff concession arrangements when signing high-level FTAs with developed economies or RCEP +, CPTPP and other RTAs in the future.
- Copyright
- © 2024 The Author(s)
- Open Access
- Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.
Cite this article
TY - CONF AU - Yanlin Sun AU - Xinyue Zhang PY - 2024 DA - 2024/08/31 TI - Determinants of Staging Categories for Tariff Elimination in the Bilateral Tariff Arrangement between China and Japan under RCEP BT - Proceedings of the 2024 3rd International Conference on Information Economy, Data Modelling and Cloud Computing (ICIDC 2024) PB - Atlantis Press SP - 275 EP - 286 SN - 2352-538X UR - https://doi.org/10.2991/978-94-6463-504-1_27 DO - 10.2991/978-94-6463-504-1_27 ID - Sun2024 ER -