In this article, we propose a series of control strategies to synchronize two chaotic financial systems. Due to the characteristics of chaotic systems, the system is very sensitive to its initial values. Thus, the behaviour of two systems with different initial values will be completely different. In order to realize the synchronization of two financial chaotic systems, we designed a series of controls including controllers to realize global asymptotic synchronization and controllers to realize global exponential synchronization to make the two systems fully synchronized. We provide mathematical proofs to show that the designed controls are effective. Numerical methods are used to verify the effectiveness of the controls.
Electric vehicles (EVs) are increasingly being used for the benefit of the environment and to foster the development of a low-carbon circular economy. However, compared to internal combustion engine cars, spent EV batteries (WBEVs) constitute a different form of waste, and their recycling mechanism is still in its early stages. WBEV consumer willingness to recycle is an issue in a circular economy in which EV users should be WBEV recycling pioneers. The purpose of this article is to develop an analytical model for consumers’ desire to return WBEVs for recycling, based on the circular economy and consumer welfare, in order to investigate consumer incentives for the construction of a WBEV recycling system. PLS-SEM was used for the analysis, and the results revealed the following. First, both the perception of government policy and environmental attitudes have significant positive causal effects on consumers’ intentions to recycle. Second, the perception of benefits has a significant positive mediating effect on recycling intention, whereas the perception of loss has a significant negative mediating effect. Third, the multigroup analysis found that, with the exception of gender, the variables of age, income, education, area of residence, recycling experiences, and EV ownership all have substantial moderating impacts, although their routes and directions vary considerably. Recycling policies must be appropriate for consumers, and this has policy consequences for the circular economy. Environmental education and incentives should be provided to increase consumer knowledge and willingness to recycle. Big data might help with the design of a WBEV recycling system. It is necessary to create an intelligent recycling platform, cross-regional recycling collaboration, and smart logistics for WBEVs. Further, the battery refill mechanism of energy replenishment might encourage the recycling of WBEVs.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
hi@scite.ai
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
Copyright © 2024 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.