Optimization Analysis of Customs Supervision Strategy Based on Complex Network Evolutionary Game
- DOI
- 10.2991/978-94-6463-030-5_66How to use a DOI?
- Keywords
- High-quality Development; Customs Supervision Strategy; Evolutionary Game; Small World Network
- Abstract
Under the background of high-quality development, the concealment and cross-border nature of cross-border e-commerce transactions put forward higher requirements for the efficiency of government supervision. We build a network evolution game model in which three inspection strategies are taken by customs: fixed sampling probability, linearly increase sampling probability and periodically increase sampling probability, meanwhile the number of enterprises with honest strategies and the average income of the game parties are taken as indicators. The findings are as follows: the government needs hierarchical and classified dynamic supervision. When the enterprise’s tax payment credit rating is at a high level, it adopts fixed and low probability to carry out supervision. When the enterprise’s tax payment credit is at a low level for a long time, the government periodically increase sampling probability.
- Copyright
- © 2023 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 - Yuxi Wu AU - Chaogai Xue AU - Shumin Li PY - 2022 DA - 2022/12/20 TI - Optimization Analysis of Customs Supervision Strategy Based on Complex Network Evolutionary Game BT - Proceedings of the 2022 International Conference on Bigdata Blockchain and Economy Management (ICBBEM 2022) PB - Atlantis Press SP - 658 EP - 668 SN - 2589-4919 UR - https://doi.org/10.2991/978-94-6463-030-5_66 DO - 10.2991/978-94-6463-030-5_66 ID - Wu2022 ER -