Abstract
Since 1998, the pricing mechanism of China refined oil market has reformed four times. Market pricing will be the future trend. This paper uses the method of agent-based computational economics to construct a free gasoline market model. By simulations of the gasoline market at different levels of crude oil price, a quadratic equation which can describe the survival rate of consumers is obtained. Based on a dummy variable model, we find that when the decisions of consumers are constrained by their income, the margin impacts of crude oil price, income and rigid demand on consumer welfares become smaller.
Original language | English |
---|---|
Title of host publication | Proceedings - 2010 3rd International Conference on Biomedical Engineering and Informatics, BMEI 2010 |
Pages | 2884-2892 |
Number of pages | 9 |
DOIs | |
Publication status | Published - 2010 |
Externally published | Yes |
Event | 3rd International Conference on BioMedical Engineering and Informatics, BMEI 2010 - Yantai, China Duration: 16 Oct 2010 → 18 Oct 2010 |
Publication series
Name | Proceedings - 2010 3rd International Conference on Biomedical Engineering and Informatics, BMEI 2010 |
---|---|
Volume | 7 |
Conference
Conference | 3rd International Conference on BioMedical Engineering and Informatics, BMEI 2010 |
---|---|
Country/Territory | China |
City | Yantai |
Period | 16/10/10 → 18/10/10 |
Keywords
- Belief learning
- Gasoline market
- Income constraints
- Rigid demand
- Simulations based on multi-agent
Fingerprint
Dive into the research topics of 'An analysis for monopoly premium and consumer welfare in the gasoline market of China: Results from a multi-agent model'. Together they form a unique fingerprint.Cite this
Cong, R. (2010). An analysis for monopoly premium and consumer welfare in the gasoline market of China: Results from a multi-agent model. In Proceedings - 2010 3rd International Conference on Biomedical Engineering and Informatics, BMEI 2010 (pp. 2884-2892). Article 5639632 (Proceedings - 2010 3rd International Conference on Biomedical Engineering and Informatics, BMEI 2010; Vol. 7). https://doi.org/10.1109/BMEI.2010.5639632