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A model analysis of clean development mechanisms to reduce both CO2 and SO2 emissions between Japan and China

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  • Shimazaki, Yoichi
  • Akisawa, Atsushi
  • Kashiwagi, Takao

Abstract

It is necessary for Japan to support the development of desulfurization policies of China to solve global and local environmental problems. This study proposes a "double clean development mechanism" to reduce both CO2 and SO2 emissions at the same time. The purpose of this study is to investigate the consequences for both countries' energy economies of following double clean development mechanism between Japan and China. A dynamic optimization model is developed to estimate the effects of Japanese investments in China for carbon dioxide recovery-disposal and emission desulfurization technologies. The simulation results suggest that a double clean development mechanism can effectively mitigate the damage caused by SO2 emissions because the clean development mechanism itself can reduce SO2 emissions, e.g. by switching to fuels. However, China might not be willing to accept restrictions on SO2 emissions. This study also examines whether China will be able to maintain high growth rates with a clean development mechanism under the CO2 and SO2 restriction. The analysis shows that increasing the upper limit of investment from Japan to China can enhance the economies of the both nations. The effect of nuclear power installation on economic performance is also investigated for the both nations.

Suggested Citation

  • Shimazaki, Yoichi & Akisawa, Atsushi & Kashiwagi, Takao, 2000. "A model analysis of clean development mechanisms to reduce both CO2 and SO2 emissions between Japan and China," Applied Energy, Elsevier, vol. 66(4), pages 311-324, August.
    • Handle: RePEc:eee:appene:v:66:y:2000:i:4:p:311-324
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    Citations

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    Cited by:

    1. Dorothee Boccanfuso & Antonio Estache & Luc Savard, 2011. "The Intra-country Distributional Impact of Policies to Fight Climate Change: A Survey," Journal of Development Studies, Taylor & Francis Journals, vol. 47(1), pages 97-117.
    2. Li, Y.P. & Huang, G.H. & Chen, X., 2011. "Planning regional energy system in association with greenhouse gas mitigation under uncertainty," Applied Energy, Elsevier, vol. 88(3), pages 599-611, March.
    3. Duan, Lunbo & Jiang, Zhongxiao & Chen, Xiaoping & Zhao, Changsui, 2013. "Investigation on water vapor effect on direct sulfation during wet-recycle oxy-coal combustion," Applied Energy, Elsevier, vol. 108(C), pages 121-127.
    4. Li, Y.F. & Li, Y.P. & Huang, G.H. & Chen, X., 2010. "Energy and environmental systems planning under uncertainty--An inexact fuzzy-stochastic programming approach," Applied Energy, Elsevier, vol. 87(10), pages 3189-3211, October.
    5. Gnansounou, Edgard & Dong, Jun & Bedniaguine, Denis, 2004. "The strategic technology options for mitigating CO2 emissions in power sector: assessment of Shanghai electricity-generating system," Ecological Economics, Elsevier, vol. 50(1-2), pages 117-133, September.
    6. Song, Tangnyu & Huang, Guohe & Zhou, Xiong & Wang, Xiuquan, 2018. "An inexact two-stage fractional energy systems planning model," Energy, Elsevier, vol. 160(C), pages 275-289.
    7. Chee Tahir, Aidid & Bañares-Alcántara, René, 2012. "A knowledge representation model for the optimisation of electricity generation mixes," Applied Energy, Elsevier, vol. 97(C), pages 77-83.
    8. Dorothée Boccanfuso & Antonio Estache & Luc Savard, 2008. "Distributional impact of global warming environmental policies: A survey," Cahiers de recherche 08-14, Departement d'économique de l'École de gestion à l'Université de Sherbrooke.

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