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CO2 emission forecast in Japan by AIM/end-use model

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Abstract

An end-use energy demand model has been developed to evaluate policy options to reduce CO2 emissions. The model can evaluate relations between CO2 emissions and energy consumption technologies. It can also analyze effects of introducing various reduction policies, such as imposing carbon taxes and granting subsidies. Under various policy options, CO2 emissions were projected through 2010 in Japan. It is found that CO2 emissions could be reduced by 3% to the 1990 level if a carbon tax of 30,000 yen per carbon ton would be introduced. And, if the revenues from the carbon tax would be recycled as subsidies, the tax rate would be reduced to 3,000 yen per carbon ton.

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References

  1. AIM Project Team. “Long-term CO2 Emission Outlook in Japan”. AIM Interim Paper, IP-97-03, NIES, Tsukuba, Japan (1997).

    Google Scholar 

  2. Bialas W and Karwan MH. “Two-level linear programming”. Management Science, 30 (8) (1982) 1004–1020

    Article  Google Scholar 

  3. Berger C, Haurie A and Loulou R. “Modeling Long Range Energy/Technology Choices: The MARKAL Approach”. GERAD, Montreal, Canada (1987).

    Google Scholar 

  4. Fishborne LG and Abilock H. “MARKAL, A linear-programming model for energy systems analysis: technical description of the BNL version”. Energy Research, 5 (1981) 353–357.

    Article  Google Scholar 

  5. Kainuma M, Matsuoka Y and Morita T. “Analysis of post-Kyoto scenarios: the Asian-Pacific Integrated Model”. Special Issue of The Energy Journal (1999a) 207–220.

    Google Scholar 

  6. Kainuma M, Matsuoka Y, Morita T and Hibino G. “Development of an end-use model for analyzing policy options to reduce greenhouse gas emissions”. IEEE Trans, on Systems, Man, and Cybern. - Part C: Applications and Reviews, 29(3) (1999b) 317–324.

    Article  Google Scholar 

  7. Lapillonne B. “The MEDEE-S Approach for Energy Demand Evaluation in Developing Countries”. Report EUR 9971FR, General Direction Science, Research and Development, Commission of European Communities, Bruxelles (1985).

    Google Scholar 

  8. Lazarus M et al. “Towards a Fossil Free Energy Future, The Next Energy Transition”. A technical analysis for Greenpeace International, Stockholm Environment Institute - Boston Center, MA (1993).

    Google Scholar 

  9. Mallozzi L and Morgan J. “Weak Stackelberg problem and mixed solutions under data perturbations”. Optimization, 32 (3) (1995) 269–290.

    Article  Google Scholar 

  10. Manne AS and Wene CO. “MARKAL-MACRO: A Linked Model for Energy-Economy Analysis, BNL-47161”. Brookhaven National Laboratory, Upton, New York (1992).

    Google Scholar 

  11. Matsuoka Y, Kainuma M and Morita T “Scenario analysis of global warming using the Asian Pacific Integrated Model (AIM)”. Energy Policy, 23 (4/5) (1995) 357–371.

    Article  Google Scholar 

  12. Messner S, Golodnikov A and Gritsevskii A. “A stochastic version of the dynamic linear programming model MESSAGE III”. Energy, 21(9) (1997) 775–784.

    Article  Google Scholar 

  13. Morita T, Matsuoka Y, Penna I and Kainuma M. “Global Carbon Dioxide Emission Scenarios and their Basic Assumptions - 1994 Survey -”. Center for Global Environmental Research, CGER-1011-’94, Tsukuba, Japan (1994).

    Google Scholar 

  14. Onal H. “A modified simplex approach for solving bilevel linear programming problems”. European Journal of Operations Research, 67 (1993) 126–135.

    Article  Google Scholar 

  15. Simaan M. “Staceklberg optimization of two-level systems”, IEEE Trans. On Systems, Man and Cybernetics, SMC-7 (1977) 554–557.

    Google Scholar 

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Correspondence to Mikiko Kainuma.

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Kainuma, M., Matsuoka, Y. & Morita, T. CO2 emission forecast in Japan by AIM/end-use model. OPSEARCH 38, 109–125 (2001). https://doi.org/10.1007/BF03398632

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