Evolutionary game analysis and simulation of green production supervision considering limited resources of the enterprise

  • Yanhong Ma
  • , Chunhua Jin*
  • , Qiuhong Zhao
  • , Jing Yu
  • *Corresponding author for this work

Research output: Contribution to journalConference articlepeer-review

Abstract

This paper studies the green production supervision problem through considering the impact of the limited resources of the enterprise and the tax relationship between the government and the enterprise. Because of the bounded rationality of the players, evolutionary game model is built and the ESS of the model is given. In the built model, the enterprise’s goal is profit maximization and the government’s goal is social welfare maximization. Based on the ESS of the proposed model, simulation analysis of how penalty parameters affect the ESS is given. Also, the impact of the penalty parameters on the probability of failed supervision is analysed. Failed supervision is defined as the condition when the government’s decision is weak supervision and the enterprise’s decision is not green. Results of the ESS and the simulation analysis show that increasing the penalty parameters under given conditions can help reduce the failed supervision probability and then help improve the quality of the environment.

Original languageEnglish
JournalProceedings of International Conference on Computers and Industrial Engineering, CIE
Volume2019-October
StatePublished - 2019
Event49th International Conference on Computers and Industrial Engineering, CIE 2019 - Beijing, China
Duration: 18 Oct 201921 Oct 2019

Keywords

  • Evolutionary Game
  • Green production
  • Limited resources
  • Supervision Game

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