Research on the Enterprise Safety and Low-Carbon Behaviors Management and Application Based on the Evolutionary Game

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Proceedings of the Tenth International Conference on Management Science and Engineering Management

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 502))

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Abstract

The interaction behavior between supervision department and workers in enterprise safety and low-carbon management is analyzed based on evolutionary game theory. An evolutionary game model of the enterprise safety and low-carbon supervision is established. The replicated dynamic equation and the dynamic evolution process of the both gaming parties are analyzed. The behavior features of the two gaming parties and the effect to the stability status are revealed the different kinds of evolutionary stability strategies are analyzed and the long-time stable tendency of enterprise safety and low-carbon supervision and worker’s violation is predicted. Besides, the parameters’ influences to evolutionary stability strategies are analyzed and the article provides empirical studies which prove that the model is more effective and verifies the validity of the model. Article concludes with some policy recommendations. For enterprises and workers safety and low-carbon management, the theoretical and methodological useful guide is provided.

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Acknowledgments

Supported by the Philosophy and Social Sciences Program of Sichuan Province (No. SC15B071), Supported by the Program of the Visual Computing and Virtual Reality Key Laboratory of Sichuan Province (No.KJ201420), Supported by the Program of the Department of Education of Sichuan Province (No.14SB0022), Supported by the Sichuan provincial innovation and entrepreneurship students Training Program (201510636087).

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Correspondence to Wenke Wang .

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Zheng, T., Wang, W., Dong, W., Yan, B., Gou, J. (2017). Research on the Enterprise Safety and Low-Carbon Behaviors Management and Application Based on the Evolutionary Game. In: Xu, J., Hajiyev, A., Nickel, S., Gen, M. (eds) Proceedings of the Tenth International Conference on Management Science and Engineering Management. Advances in Intelligent Systems and Computing, vol 502. Springer, Singapore. https://doi.org/10.1007/978-981-10-1837-4_27

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  • DOI: https://doi.org/10.1007/978-981-10-1837-4_27

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-10-1836-7

  • Online ISBN: 978-981-10-1837-4

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