TY - JOUR
T1 - Punishment or reward? Environmental information disclosure in Chinese listed companies based on evolutionary game systems
AU - Cai, Rongjiang
AU - Wang, Xi
AU - Zhang, Tao
AU - Liu, Nana
AU - Jia, Qiaoran
N1 - Publisher Copyright:
© 2024 John Wiley & Sons Ltd.
PY - 2024
Y1 - 2024
N2 - In February 2022, the Chinese government implemented a mandatory environmental information disclosure policy for publicly traded corporations. To assess the factors influencing environmental information disclosure, we developed a tripartite evolutionary game system model based on strategic interactions between the government, enterprises and the public. Afterwards, we conducted a simulation to examine the systemic interaction equilibrium among the parties involved. Additionally, we assessed critical factor changes in decision-making for three stakeholders: initial strategy selection, related policy subsidies, regulatory penalties and public incentives. Incorporating Gaussian white noise into the evolutionary game model enhances the realism of simulations, allowing for a more accurate representation of how random disturbances affect decision-making among the government, the public and enterprises. The study reveals that the active participation of the public in information disclosure activities has a certain degree of substitution effect on the government's choice to regulate high-quality information disclosure by enterprises actively. The penalty mechanism is more effective than the subsidy mechanism. The public's decision-making process is susceptible to the direct economic benefits that enterprises can gain from disclosing low-quality environmental information.
AB - In February 2022, the Chinese government implemented a mandatory environmental information disclosure policy for publicly traded corporations. To assess the factors influencing environmental information disclosure, we developed a tripartite evolutionary game system model based on strategic interactions between the government, enterprises and the public. Afterwards, we conducted a simulation to examine the systemic interaction equilibrium among the parties involved. Additionally, we assessed critical factor changes in decision-making for three stakeholders: initial strategy selection, related policy subsidies, regulatory penalties and public incentives. Incorporating Gaussian white noise into the evolutionary game model enhances the realism of simulations, allowing for a more accurate representation of how random disturbances affect decision-making among the government, the public and enterprises. The study reveals that the active participation of the public in information disclosure activities has a certain degree of substitution effect on the government's choice to regulate high-quality information disclosure by enterprises actively. The penalty mechanism is more effective than the subsidy mechanism. The public's decision-making process is susceptible to the direct economic benefits that enterprises can gain from disclosing low-quality environmental information.
KW - Chinese listed companies
KW - environmental information disclosure
KW - evolutionary game systems
KW - multiple agents
UR - http://www.scopus.com/inward/record.url?scp=85206889560&partnerID=8YFLogxK
U2 - 10.1002/sres.3086
DO - 10.1002/sres.3086
M3 - Article
AN - SCOPUS:85206889560
SN - 1092-7026
JO - Systems Research and Behavioral Science
JF - Systems Research and Behavioral Science
ER -