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Academic Journal of Business & Management, 2022, 4(17); doi: 10.25236/AJBM.2022.041715.

Evolutionary Analysis of Emission Reduction Strategies

Author(s)

Huihui Xue, Shenxi Lin, Wanting Wang, Kunao Fu, Kaijie Huang

Corresponding Author:
Huihui Xue
Affiliation(s)

Tianjin University of Commerce, Tianjin, 300134, China

Abstract

In recent years, the global climate problem has become increasingly prominent and has attracted great international attention, and the development of a low-carbon economy has become an inevitable choice at this stage. Carbon emissions trading is a market mechanism adopted to promote global greenhouse gas emission reduction and reduce global carbon dioxide emissions. By releasing uniform price information, the carbon trading market motivates enterprises to carry out energy saving and emission reduction, and optimizes the allocation of carbon emission resources, which is considered an important policy to reduce carbon emissions and control climate change. Based on this, this paper constructs the decision model and evolutionary game model of the government and enterprises on the basis of the existing ones, and analyzes the mixed strategy stability of the government and enterprises according to the replicated dynamic equation system to obtain the evolutionary stable strategies of the government and enterprises under different situations. Subsequently, the parameters of each situation are assumed and numerical simulation is performed using Matlab software to draw conclusions.

Keywords

Optimal emission reduction, Evolutionary games, Strategy stability, Numerical simulation

Cite This Paper

Huihui Xue, Shenxi Lin, Wanting Wang, Kunao Fu, Kaijie Huang. Evolutionary Analysis of Emission Reduction Strategies. Academic Journal of Business & Management (2022) Vol. 4, Issue 17: 112-120. https://doi.org/10.25236/AJBM.2022.041715.

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