scholarly journals Do environmental regulations promote low-carbon diffusion among different scales of enterprise? A complex network-based evolutionary game approach

2021 ◽  
pp. 1-12
Author(s):  
Xikai Wei ◽  
Wei Chen ◽  
Meng Li ◽  
Yanan Wang
Marine Policy ◽  
2021 ◽  
Vol 134 ◽  
pp. 104774
Author(s):  
Xin Xu ◽  
Yingying Hou ◽  
Changping Zhao ◽  
Lei Shi ◽  
Yu Gong

2019 ◽  
Vol 11 (11) ◽  
pp. 2996 ◽  
Author(s):  
Daozhi Zhao ◽  
Jiaqin Hao ◽  
Cejun Cao ◽  
Hongshuai Han

In the era of the sharing economy, the rise of production capacity sharing has changed traditional manufacturing modes and broken the balance of original production systems. In addition to that environmental-friendly manufacturing enterprises are of great significance with regard to production capacity sharing and sustainable development of the ecology environment. To investigate the decision-making behaviors of the participants involved in low-carbon production capacity sharing, an evolutionary game model taking into account the platforms, manufacturing enterprises with idle production capacity, and those with demanding production capacity is constructed. Then, both evolutionary game theory and Lyapunov stability theorem are used to analyze the asymptotic stability of the equilibrium and evolutionary stability strategies of the system. Besides, the economic and managerial significance of the evolutionary stability strategy is given. Finally, the influence of low-carbon production capacity of enterprises on the stability of the dynamic system is discussed, such as the cost effect of low-carbon production capacity, the effect of transaction cost, and so on. Results indicate that they can provide theoretical reference for decision-making with respect to the platforms, manufacturing enterprises, and sustainable development of the dynamic system.


2013 ◽  
Vol 10 (12) ◽  
pp. 2808-2812
Author(s):  
Jing Wei ◽  
Hengmin Zhu ◽  
Junchao Feng ◽  
Ruixiao Song ◽  
Zan Xu ◽  
...  

2004 ◽  
Vol 19 (10) ◽  
pp. 2877-2886 ◽  
Author(s):  
Y.J. Lan ◽  
D.Z. Li ◽  
Y.Y. Li

Austenite–ferrite transformation at different isothermal temperatures in low carbon steel was investigated by a two-dimensional cellular automaton approach, which provides a simple solution for the difficult moving boundary problem that governs the ferrite grain growth. In this paper, a classical model for ferrite nucleation at austenite grain boundaries is adopted, and the kinetics of ferrite grain growth is numerically resolved by coupling carbon diffusion process in austenite and austenite–ferrite (γ–α) interface dynamics. The simulated morphology of ferrite grains shows that the γ–α interface is stable. In this cellular automaton model, the γ–α interface mobility and carbon diffusion rate at austenite grain boundaries are assumed to be higher than those in austenite grain interiors. This has influence on the morphology of ferrite grains. Finally, the modeled ferrite transformation kinetics at different isothermal temperatures is compared with the experiments in the literature and the grid size effects of simulated results are investigated by changing the cell length of cellular automaton model in a set of calculations.


Complexity ◽  
2021 ◽  
Vol 2021 ◽  
pp. 1-11
Author(s):  
Cuicui Zheng

Low-carbon technological innovation is the main means to develop a low-carbon economy, and network knowledge sharing and collaborative innovation is an effective model for the development of low-carbon technologies. First of all, this article adopts a decision-making experiment and evaluation laboratory method and interpretation structure model, combines the two methods, extracts the advantages of the two, and discards the shortcomings of the two, thus constructing a new optimized and upgraded interpretation structure model. We give methods to explore the main influencing factors of collaborative innovation of low-carbon technologies for online knowledge sharing. Based on the industrial network knowledge sharing and cooperation network environment, the network evolution game model of network knowledge sharing knowledge collaboration is constructed to study the rewards and punishments, the profit distribution rate, the knowledge potential difference, and the parameter pairing of the network knowledge sharing cooperation network structure in the process of network knowledge sharing and collaborative knowledge innovation. The influence of the network knowledge sharing cooperation strategy is obtained through simulation to change the size of the relevant parameters so that the network knowledge sharing cooperation agent chooses the network evolution game of the sharing strategy to realize the optimal evolutionary stable strategy. According to the simulation results, this article proposes suggestions from the following aspects, aiming to improve the overall knowledge synergy effect of the network knowledge sharing and cooperation network.


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