Abstract
The water quality improvement in a river takes long time, because of budget constrain and the conflicts of interest among economic agents. In this paper, we build the Dynamic Computable General Equilibrium (DCGE) model that can describe the behavior of economic agents, and analyze the incidence benefits induced by the reduced pollutant load countermeasures for water quality improvement. We formulate the mathematical programming that the objective function is the maximization of social net benefit and the constraint is the DCGE model. We calculated the efficient schedule of reduced pollutant load countermeasures by solving the mathematical programming with genetic algorithm (GA).
