Literature DB >> 35359210

Research on mechanisms to incentivize corporate environmental responsibility based on a differential game approach.

Minmin Teng1, Meiting Zhao1, Chuanfeng Han2,3, Pihui Liu4.   

Abstract

As major polluters, enterprises are expected to behave responsibly toward the natural environment. However, enterprises often do not pay enough attention to the environment and may even be environmentally irresponsible. Encouraging enterprises to actively accept environmental responsibility is the key to solving the problem of environmental pollution. This paper uses a differential game model to study the impact of different governmental incentive mechanisms on corporate environmental responsibility (CER). The results of the study show that independent, noncooperative decision-making by the government and the enterprise is not desirable. If the government provides a monetary incentive to the enterprise or sets a corporate pollution threshold to stimulate enterprises' acceptance of environmental responsibility, environmental quality can be improved. These results lead to useful policy recommendations and a scientific basis for environmental governance, which is expected to be helpful for finding ways to balance economic development and environmental protection in developing countries more generally.
© 2022. The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature.

Entities:  

Keywords:  Corporate environmental responsibility; Differential game; HJB equation; Monetary incentives; Pollution threshold

Mesh:

Year:  2022        PMID: 35359210     DOI: 10.1007/s11356-022-19647-4

Source DB:  PubMed          Journal:  Environ Sci Pollut Res Int        ISSN: 0944-1344            Impact factor:   5.190


  1 in total

1.  Precise Supervision of Enterprise Environmental Protection Behavior Based on Boolean Matrix Factorization under Low Carbon Background.

Authors:  Wei Zhou; Feipeng Guo
Journal:  Int J Environ Res Public Health       Date:  2022-06-24       Impact factor: 4.614

  1 in total

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