In this paper, we study the (strong) time-consistency property of the core for a linear-quadratic differential game of pollution control with nonzero absorption coefficient and real values of the model parameters. The values of parameters are evaluated based on the data for the largest aluminum enterprises of Eastern Siberia region of the Russian Federation for the year 2016. The obtained results are accompanied with illustrations.
For a classical differential game of pollution control, we consider how the possession of specific information would impact the payoff of some players compared to cases in which the knowledge of information is incomplete. To measure the resulting discrepancy, we use the notion of value of information (VoI). Specifically, we study two scenarios, one in which the role of knowledge about the terminal cost is studied, and the other one, in which we analyze the influence of knowledge about the exact value of the upper bound on control. For each case, we obtain explicit analytical expressions for the payoff functions. These functions are used to quantify the exact value of information.
A two-player differential game of pollution control with uncertain initial disturbance stock is considered. In pace with contemporary policy in the resource extraction industry, we initiate our research based on a resource extraction differential model with a rehabilitation process in which the firms are required to compensate the local to rehabilitate the polluted and dilapidated areas. Given the reality that the initial pollution stock plays a critical role in the production, and we cannot rigorously determine its actual value, a simulation of the estimation of the initial stock is alternatively investigated through the Pontryagin maximum principle (PMP). The later analytical results by normalized value of information (NVI) indicate the precious influence brought to the final payoff under various estimations of the initial stock both in the cooperative and non-cooperative cases. With such guidance, the player is capable of making a much more judicious decision when it comes to the determination of the initial stock. Furthermore, a numerical example is additionally presented for better comprehension.
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