Simulation with system dynamics and fuzzy reasoning of a tax policy to reduce CO2 emissions in the residential sector

Abstract This methodological paper presents a planning and control methodology illustrated by a simplified case study on the carbon-tax design in the residential sector. The first objective is to show how to simulate with system dynamics the consumers’ behaviour and the continuous tax-control mechanism depending on few important feedbacks, often ignored in static macroeconomic modelling. A second objective is to show how to aggregate external data driving this model and stemming from different sources with various credibility levels. This is realised by means of fuzzy-reasoning techniques incorporated into the system-dynamics model.

[1]  W. Nordhaus.  The Cost of Slowing Climate Change: a Survey , 1991 .

[2]  William D. Nordhaus,et al.  Rolling the ‘DICE’: an optimal transition path for controlling greenhouse gases , 1993 .

[3]  Richard B. Howarth,et al.  Optimal environmental taxes under relative consumption effects , 2006 .

[4]  Roger Fouquet,et al.  The United Kingdom demand for renewable electricity in a liberalised market 1 1 This paper was spons , 1998 .

[5]  Stephen H. Schneider,et al.  Are the Economic Costs of Stabilising the Atmosphere Prohibitive? , 2022 .

[6]  Philippe Fortemps,et al.  A fuzzy decision support system for the economic calculus in radioactive waste management , 2002, Inf. Sci..

[7]  Michael Williams.  Global warming and carbon taxation Optimal policy and the role of administration costs , 1995 .

[8]  Chris Hope,et al.  Valuing the impact of CO2 emissions , 1996 .

[9]  Peter Hoeller,et al.  Costs of Reducing CO2 Emissions: Evidence from Six Global Models , 1992 .

[10]  Bernard Roy,et al.  A-MCD-A - Aide Multi Critère à la Décision (Multiple Criteria Decision Aiding) , 2001 .

[11]  P. Ekin,et al.  The secondary benefits of CO2 abatement: How much emission reduction do they justify? , 1996 .

[12]  Earl D. Cox,et al.  Fuzzy Logic for Business and Industry , 1995 .

[13]  Stephen G. Hall,et al.  Econometric modelling of international carbon tax regimes , 1995 .

[14]  Jean Pierre Brans,et al.  An adaptive multicriteria control methodology in sustainable development-case study: a CO_{2} -ecotax , 1999 .

[15]  Makoto Akai,et al.  Willingness to pay for green electricity in Japan as estimated through contingent valuation method , 2004 .

[16]  Axel Michaelowa,et al.  International Emissions Trading: From Concept To Reality , 2003 .

[17]  N. Hanley,et al.  Environmental Economics: In Theory and Practice , 1996 .

[18]  William D. Nordhaus,et al.  Optimal Greenhouse-Gas Reductions and Tax Policy in the "Dice" Model , 1993 .

[19]  M. Common,et al.  Natural resource and environmental economics , 1996 .

[20]  Johan Springael,et al.  The zero-emission certificates: A novel CO2-pollution reduction instrument applied to the electricity market , 2004, Eur. J. Oper. Res..

[21]  Runar Brännlund,et al.  Carbon Tax Simulations Using a Household Demand Model , 2004 .

[22]  Thomas Müller-Bohn,et al.  Cost-Benefit Analysis , 2015 .

[23]  Nick Mabey,et al.  Are environmental taxes a free lunch? Issues in modelling the macroeconomic effects of carbon taxes , 1997 .

[24]  M. Piattelli,et al.  The control of goods transportation growth by modal share re-planning: the role of a carbon tax , 2002 .

[25]  Markus Schwaninger,et al.  Combining multicriteria decision aid and system dynamics for the control of socio-economic processes. An iterative real-time procedure , 1998, Eur. J. Oper. Res..

[26]  Klaus Hasselmann,et al.  A multi-actor dynamic integrated assessment model (MADIAM) of induced technological change and sustainable economic growth , 2005 .

[27]  Robert K. Kaufmann.  The effect of expected energy prices on energy demand: implications for energy conservation and carbon taxes , 1994 .

[28]  J Swanson,et al.  Business Dynamics—Systems Thinking and Modeling for a Complex World , 2002, J. Oper. Res. Soc..

[29]  J. Charles Kerkering,et al.  Eliciting and Analyzing Expert Judgment, A Practical Guide , 2002, Technometrics.

[30]  T. Fiddaman.  Exploring policy options with a behavioral climate–economy model , 2002 .

[31]  John D. Sterman,et al.  All models are wrong: reflections on becoming a systems scientist† , 2002 .

[32]  W. Cline.  Economics of Global Warming, The , 1992 .

[33]  Bertrand Mareschal,et al.  Management of the Future , 2002 .

[34]  Jean Pierre Brans,et al.  An adaptive control methodology based on system dynamics and MCDA case study: the CO_{2} energy tax in the residential sector , 2001 .

[35]  Spyros Vassos,et al.  Energy and environment: Reducing CO2 emissions from the electric power industry , 1996 .

[36]  L. Alan Winters,et al.  The macroeconomic consequences of controlling greenhouse gases: a survey , 1991 .