INVESTIGATING COST-EFFECTIVE POLICY INCENTIVES FOR RENEWABLE ENERGY IN JAPAN: A RECURSIVE CGE APPROACH FOR AN OPTIMAL ENERGY MIX
Michael Huang and
Chul Ju Kim
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Chul Ju Kim: #x2020;Asian Development Bank Institute, Japan
The Singapore Economic Review (SER), 2021, vol. 66, issue 02, 507-528
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.
Keywords: Recursive CGE model; renewable energy; Japan; optimal energy mix (search for similar items in EconPapers)
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