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Abstrakty
This article describes the problem of simulation of the CO2 emission permits market. First, it introduces a CO2 permission market model with transactions and purchase prices, in particular with a separate goal function for each party, transactions with price negotiations between regions and - as a consequence of introducing prices for permits – the possibility of investigating the influence of purchase/sale prices on the market. The behavior of such market model is simulated using a method, which is based on a specialized evolutionary method but introduces independent agents with their own transaction preferences.
Słowa kluczowe
Rocznik
Tom
Strony
251--265
Opis fizyczny
Bibliogr. 16 poz.
Twórcy
autor
- Systems Research Institute, Polish Academy of Sciences, Warsaw, Poland
Bibliografia
- [1] Alkemade F., La Poutre H., Amman H. M. Robust Evolutionary Algorithm Design for Socio-economic Simulation, Computational Economics 28, 2006, pp. 355-470.
- [2] Bartoszczuk P., Horabik J. Tradable Permit Systems: Considering Uncertainty in Emission Estimates, Water Air Soil Pollution: Focus (2007) 7, Springer Verlag, 2007, pp 573-579.
- [3] Bonatti M., Ermoliev Y., Gaivoronski A. Modeling of multi-agent market systems in the presence of uncertainty: The case of information economy, Robotics and Autonomous Systems, Vol. 24, Issue 3-4, 1998, pp. 93-113.
- [4] Cichosz P. Systemy uczące się (Learning systems; in Polish), WNT, Warszawa, 2000.
- [5] Clemens C., Riechmann T. Evolutionary Dynamics in Public Good Games, Computational Economics, 28, 2006, pp. 399-420.
- [6] Ermoliev Y., Klaassen G., Nentjes A. Adaptive cost-effective ambient charges under incomplete information, Journal of Environmental Economics and Management, 31, 1996, pp. 37-48.
- [7] Ermoliev Y., Michalevich M., Nentjes A. Markets for Tradable Emission and Ambient Permits: A dynamic approach, Environmental and Resource Economics, 15, 2000, pp. 39-56.
- [8] Godal O. Simulating the Carbon Permit Market with Imperfect Observations of Emissions: Approaching Equilibrium through Sequential Bilateral Trade, InterimReport IR-00-060, IIASA, Laxenburg, Austria, 2000.
- [9] Horabik J. On the costs of reducing GHG emissions and its underlying uncertainties in the context of carbon trading, Raport Badawczy RB/34/2005, IBS PAN, 2005.
- [10] Klaasen G., Nentjes A., Smith M. Testing the dynamic theory of emissions trading: Experimental evidence for global carbon trading, Interim Report IR-01-063, IIASA, Laxenburg, Austria, 2001.
- [11] Klaasen G., Matrosov I., Roehrl A., Tarasyev A. A Game-Dynamic Model of Gas Transportation Routes and Its Application to the Turkish Gas Market, Interim ReportIR-03-018, IIASA, Laxenburg, Austria, 2003.
- [12] Mutlu F., Fescioglu-Unver N. Agent Based Simulation of Carbon Emissions Trading Market, Proceedings of PICMET '11 (Technology Management in the Energy SmartWorld), 2011, pp. 1-10.
- [13] Nahorski Z., Horabik J., Jonas M. Compliance and emissions trading under the Kyoto protocol; Rules for Uncertain Inventories, Water, Air, & Soil Pollution: Focus, Vol. 7, Numbers 4-5, Springer Verlag, 2007, pp. 539-558.
- [14] Stańczak J. Evolutionary algorithm for market simulations, Evolutionary Computationand Global Optimization 2009, Prace Naukowe PW, Elektronika, z. 169, Warszawa, 2009, pp. 163-172.
- [15] Stańczak J. Application of an evolutionary algorithm to simulation of the CO2 emission permits market with purchase prices, Badania operacyjne i decyzje, 4, 2009, pp. 93-108.
- [16] Stańczak J., Bartoszczuk P. CO2 emission trading model with trading prices, ClimaticChange, 103 (1-2), 2010, pp. 291-301.
Typ dokumentu
Bibliografia
Identyfikator YADDA
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