Assessment of Measures to Promote Next Generation Vehicles: Empirical Analyses at Grade Level
Project/Area Number |
16K17112
|
Research Category |
Grant-in-Aid for Young Scientists (B)
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Allocation Type | Multi-year Fund |
Research Field |
Economic policy
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Research Institution | Aoyama Gakuin University |
Principal Investigator |
KITANO Taiju 青山学院大学, 国際マネジメント研究科, 准教授 (70553444)
|
Project Period (FY) |
2016-04-01 – 2019-03-31
|
Project Status |
Completed (Fiscal Year 2018)
|
Budget Amount *help |
¥3,900,000 (Direct Cost: ¥3,000,000、Indirect Cost: ¥900,000)
Fiscal Year 2018: ¥1,040,000 (Direct Cost: ¥800,000、Indirect Cost: ¥240,000)
Fiscal Year 2017: ¥1,560,000 (Direct Cost: ¥1,200,000、Indirect Cost: ¥360,000)
Fiscal Year 2016: ¥1,300,000 (Direct Cost: ¥1,000,000、Indirect Cost: ¥300,000)
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Keywords | 自動車市場 / 次世代自動車 / 離散選択モデル / 構造推定 / 政策評価 / 減税・補助金 |
Outline of Final Research Achievements |
It is common practice for automobile firms to offer multiple grades for each of their car models. Consideration of the variant-level heterogeneity is an important element in assessing attribute-based policy interventions, such as tax incentives for next generation cars, because of substantial grade-level differences in attributes within a model. This study presented a discrete choice model of product differentiation at the grade-level, and estimated structural parameters in the model by using the data on different levels of aggregation: model-level sales and grade-level price and attributes. Based on the estimates, this study assessed the policies to promote next generation cars in Japan.
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Academic Significance and Societal Importance of the Research Achievements |
東日本大震災以降,原子力発電所の稼働を通じた温室効果ガスの削減が困難となっている中で,高い温室効果ガスの排出シェアを持つ自動車市場でその削減を進めることは喫緊の政策課題である.日本ではいわゆるエコカー減税や補助金などの環境優良車の普及促進政策が導入されており,その効果を定量的に把握することは欠かせないものの,政策評価を行うに当たって,常に理想的なデータが利用可能とは限らない.本研究で提示したデータの制約の下での需要関数の推定モデルは,理想的なデータが利用可能ではない状況での分析を可能とするものであり,近年注目を集める「エビデンスに基づく政策策定」の一助となることが期待される.
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Report
(4 results)
Research Products
(9 results)