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28 September 2020 Model and Simulation of Symbiotic Evolutionary Dynamics of a Marine Cross-Border E-Commerce Trade Ecosystem
Juan He, Jiajun Li, Li Ge
Author Affiliations +
Abstract

He, J.; Li, J., and Ge, L., 2020. Model and simulation of symbiotic evolutionary dynamics of a marine cross-border e-commerce trade ecosystem. In: Yang, D.F. and Wang, H. (eds.), Recent Advances in Marine Geology and Environmental Oceanography. Journal of Coastal Research, Special Issue No. 108, pp. 95–98. Coconut Creek (Florida), ISSN 0749-0208.

Based on the marine cross-border e-commerce trade ecosystem, the trade ecosystem theory in this paper is combined with relevant economic theories and is introduced into a symbiotic evolutionary dynamic model to explore the symbiotic evolution of the cross-border e-commerce ecosystem and reveal the evolution law of the marine cross-border e-commerce ecosystem. Meanwhile, supported by the energy flow model and the information flow model of the cross-border e-commerce ecosystem, the products or services of cross-border e-commerce providers are optimized to build a symbiotic evolutionary dynamic model of the cross-border trade ecosystem in marine e-commerce. Moreover, with the advancement of the development stage, in the cross-border e-commerce ecosystem, the relationships among species have become increasingly close. As a result, the evolution rule of the symbiotic relationship is verified through simulation experiments in the study, providing new ideas for the cross-border trade of marine e-commerce to maintain the balance of the marine cross-border e-commerce ecosystem and promote the development of the marine e-commerce industry.

©Coastal Education and Research Foundation, Inc. 2020
Juan He, Jiajun Li, and Li Ge "Model and Simulation of Symbiotic Evolutionary Dynamics of a Marine Cross-Border E-Commerce Trade Ecosystem," Journal of Coastal Research 108(sp1), 95-98, (28 September 2020). https://doi.org/10.2112/JCR-SI108-019.1
Received: 7 January 2020; Accepted: 22 March 2020; Published: 28 September 2020
KEYWORDS
dynamic model
Symbiotic evolution
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