| Project/Area Number |
25281071
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| Research Category |
Grant-in-Aid for Scientific Research (B)
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| Allocation Type | Partial Multi-year Fund |
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| Section | 一般 |
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| Research Field |
Environmental policy and social systems
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| Research Institution | Doshisha University |
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Principal Investigator |
MIYOSHI Hiroaki 同志社大学, 総合政策科学研究科, 教授 (80399055)
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| Co-Investigator(Kenkyū-buntansha) |
紀伊 雅敦 香川大学, 工学部, 准教授 (20426266)
竹下 貴之 長崎大学, 水産・環境科学総合研究科, 准教授 (70344075)
川上 敏和 同志社大学, 政策学部, 教授 (30292460)
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| Research Collaborator |
HANAOKA TATSUYA 国立環境研究所, 主任研究員 (10391145)
Olivier Dessens University College London, UCL Energy Institute, Senior Research Associate
Annela Ager-Kraavi University of East Anglia, School of environmental Sciences, Lecturer in Macroeconomics
Cope David University of Cambridge, Clare Hall, Foundation fellow
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| Project Period (FY) |
2013-04-01 – 2017-03-31
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| Project Status |
Completed (Fiscal Year 2016)
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| Budget Amount *help |
¥17,550,000 (Direct Cost: ¥13,500,000、Indirect Cost: ¥4,050,000)
Fiscal Year 2015: ¥8,450,000 (Direct Cost: ¥6,500,000、Indirect Cost: ¥1,950,000)
Fiscal Year 2014: ¥4,160,000 (Direct Cost: ¥3,200,000、Indirect Cost: ¥960,000)
Fiscal Year 2013: ¥4,940,000 (Direct Cost: ¥3,800,000、Indirect Cost: ¥1,140,000)
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| Keywords | 環境政策 / 環境技術 / 二酸化炭素排出削減 / 大気汚染防止・浄化 / 次世代自動車 / 電気自動車 / 自動走行 |
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| Outline of Final Research Achievements |
The imperative to design sustainable future transportation systems on a global scale will require global market diffusion of next-generation vehicles, an area in which Japanese companies currently lead the world. Based on this idea, the research comprises of the following two tasks: 1) Study of governmental economic incentives for the diffusion of next-generation vehicles, and 2) Study of global benefits from the diffusion of next-generation vehicles.
Major achievements are as follows: 1) Governmental economic incentives are studied considering the price risks of next-generation vehicles (Task 1); 2) The effects on the concentration of air pollutants from the diffusion of next-generation vehicles are estimated on a global basis (Task 2).
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