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Investigating Cost-Effective Policy Incentives For Renewable Energy In Japan: A Recursive Cge Approach For An Optimal Energy Mix

Author

Listed:
  • MICHAEL C. HUANG

    (Ocean Policy Research Institute, The Sasakawa Peace Foundation, 1-15-16 Toranomo, Minato-ku, Tokyo 105-8524, Japan)

  • CHUL JU KIM

    (#x2020;Asian Development Bank Institute, Japan)

Abstract

The Great East Japan Earthquake (GEJE) and Fukushima nuclear disaster that occurred in 2011 gave a sharp reminder to Japan’s energy security to reconsider the reduction of nuclear power dependence with a better energy mix. We use a recursive CGE model based on Japan’s renewable energy input–output model to analyze the energy composite of power generation and consumption to investigate cost-effective policy incentives to achieve an optimal energy mix to reduce the nuclear power dependence to less than 5% within 10 years. Moreover, we create scenarios of: (1) nuclear power decommission, (2) renewable energy promotion and (3) virtual power plant (VPP) implementation with public R&D expenditure and power infrastructure investment. The simulation results show that renewable energy could gradually replace nuclear power with capital-use subsidies. Under the direction of nuclear power decommission, the VPP installation could reduce the fiscal cost of wind power by 13%, solar energy by 8% and the social cost by 36%. We provide empirical evidence that the implementation of VPP should be promoted in addition to the renewable policy promotion policy to facilitate power allocation and overcapacity problems better.

Suggested Citation

  • Michael C. Huang & Chul Ju Kim, 2021. "Investigating Cost-Effective Policy Incentives For Renewable Energy In Japan: A Recursive Cge Approach For An Optimal Energy Mix," The Singapore Economic Review (SER), World Scientific Publishing Co. Pte. Ltd., vol. 66(02), pages 507-528, March.
  • Handle: RePEc:wsi:serxxx:v:66:y:2021:i:02:n:s0217590820430067
    DOI: 10.1142/S0217590820430067
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    Cited by:

    1. Bojana Škrbić & Željko Đurišić, 2023. "Novel Planning Methodology for Spatially Optimized RES Development Which Minimizes Flexibility Requirements for Their Integration into the Power System," Energies, MDPI, vol. 16(7), pages 1-34, April.
    2. Gao, Zhiyuan & Zhao, Ying & Li, Lianqing & Hao, Yu, 2024. "Economic effects of sustainable energy technology progress under carbon reduction targets: An analysis based on a dynamic multi-regional CGE model," Applied Energy, Elsevier, vol. 363(C).
    3. Nemoto, Naoko & Liu, Lian (ed.), 2022. "Strengthening Environmental, Social, and Governance Investment under COVID-19," ADBI Books, Asian Development Bank Institute, number 26, Décembre.

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