Multi-agent based simulation of carbon emissions trading market in China

Abstract

With the development of international carbon emissions trading market, the establishment of carbon trading market is an inevitable trend in China. This research aims to analyze a hypothesized carbon emissions trading market by using multi-agent based system simulation. Multi-agent based modeling simulates the behaviors of interacting and autonomous agents and their impact. In our study, the software-Anylogic© is used to build a model which contained 100 agents (enterprises) interacting with one another in an emission-quote trading market as autonomous decision makers. These agents act as buyers or sellers. A market-control agent directs the trading between the buyer and seller agents and enables a market mechanism with dynamic auction.