Study on the asymmetric QRE network game simulation of the South China Sea route trade cooperation
Study on the asymmetric QRE network game simulation of the South China Sea route trade cooperation
This paper explores in depth the cooperative mechanism of the “Community of Shared Future” and its influencing factors. According to the theory of geo-economics, the trading network of the South China Sea Route (SCSR) was constructed on the basis of trade routes and weighted by trade volume. The asymmetric Quantal Response Equilibrium (QRE) model was introduced to establish a complex network game model of trade cooperation in the SCSR in order to investigate the influencing factors on community cooperation. Through simulation tests, the influence of the participants' cognitive beliefs on self-action sensitivity, cognitive beliefs about the reaction sensitivity of other participants, the proportion of initial collaborators, rewards from neighboring countries, and implementation cost of environmental barriers on the cooperation of the SCSR were investigated. We concluded that the subjective cognitive asymmetry among countries will restrict the trade cooperation of SCSR to a certain extent. Policy recommendations to promote the cooperation of the SCSR were provided based on our findings.
Asymmetric QRE model, Network game, Simulation, The South China Sea routeb
Zhao, Changping
604d48a3-ab27-40b3-a86f-ecb648dbfd7b
Li, Rui
510fb42a-964b-4b96-b55b-0f2767dbb46b
Gong, Yu
86c8d37a-744d-46ab-8b43-18447ccaf39c
Xu, Xin
70c29754-0453-4dc3-950b-640a9ec20f7e
January 2020
Zhao, Changping
604d48a3-ab27-40b3-a86f-ecb648dbfd7b
Li, Rui
510fb42a-964b-4b96-b55b-0f2767dbb46b
Gong, Yu
86c8d37a-744d-46ab-8b43-18447ccaf39c
Xu, Xin
70c29754-0453-4dc3-950b-640a9ec20f7e
Zhao, Changping, Li, Rui, Gong, Yu and Xu, Xin
(2020)
Study on the asymmetric QRE network game simulation of the South China Sea route trade cooperation.
Marine Policy, 111, [103724].
(doi:10.1016/j.marpol.2019.103724).
Abstract
This paper explores in depth the cooperative mechanism of the “Community of Shared Future” and its influencing factors. According to the theory of geo-economics, the trading network of the South China Sea Route (SCSR) was constructed on the basis of trade routes and weighted by trade volume. The asymmetric Quantal Response Equilibrium (QRE) model was introduced to establish a complex network game model of trade cooperation in the SCSR in order to investigate the influencing factors on community cooperation. Through simulation tests, the influence of the participants' cognitive beliefs on self-action sensitivity, cognitive beliefs about the reaction sensitivity of other participants, the proportion of initial collaborators, rewards from neighboring countries, and implementation cost of environmental barriers on the cooperation of the SCSR were investigated. We concluded that the subjective cognitive asymmetry among countries will restrict the trade cooperation of SCSR to a certain extent. Policy recommendations to promote the cooperation of the SCSR were provided based on our findings.
Text
Marine Policy QRE accepted version 20190705
- Accepted Manuscript
More information
Accepted/In Press date: 21 October 2019
e-pub ahead of print date: 2 November 2019
Published date: January 2020
Additional Information:
Funding Information:
This research was supported by The Ministry of Education Humanities and Social Science Project, China , Grant No: 14YJAZH093 . Appendix A
Publisher Copyright:
© 2019 Elsevier Ltd
Keywords:
Asymmetric QRE model, Network game, Simulation, The South China Sea routeb
Identifiers
Local EPrints ID: 436316
URI: http://eprints.soton.ac.uk/id/eprint/436316
ISSN: 0308-597X
PURE UUID: e974216c-ead9-47c8-add1-61beea8797bc
Catalogue record
Date deposited: 06 Dec 2019 17:30
Last modified: 17 Mar 2024 05:06
Export record
Altmetrics
Contributors
Author:
Changping Zhao
Author:
Rui Li
Author:
Xin Xu
Download statistics
Downloads from ePrints over the past year. Other digital versions may also be available to download e.g. from the publisher's website.
View more statistics
