An Agent-Based Simulation of Farmer's Behaviors Adapting to Ecological Policies Using NetLogo

摘要

Agent-based simulation, a methodology based on Complex Adaptive System (CAS) theory, is considered to be a new approach to research the farmer's behaviors adapting to ecological policies. Based on the analysis that the farmer is a complex system, we classified them into five kinds. This paper used NetLogo software to simulate how financial subsidies affect their behavior change. The results show that when financial subsidies increase the farmer's income largely, the proportion of those violate the policies will reduce significantly by 96.2%, and when financial subsidies decrease the income largely, the proportion of those who obey the policies will reduce significantly by 97.9%.