The effect of product differentiation selection on merger criteria
| Project/Area Number |
24530264
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| Research Category |
Grant-in-Aid for Scientific Research (C)
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| Allocation Type | Multi-year Fund |
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| Section | 一般 |
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| Research Field |
Applied economics
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| Research Institution | Gakushuin University |
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Principal Investigator |
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| Co-Investigator(Kenkyū-buntansha) |
EBINA Takeshi 信州大学, 学術研究院社会科学系, 准教授 (00579766)
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| Project Period (FY) |
2012-04-01 – 2016-03-31
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| Project Status |
Completed (Fiscal Year 2015)
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| Budget Amount *help |
¥4,810,000 (Direct Cost: ¥3,700,000、Indirect Cost: ¥1,110,000)
Fiscal Year 2014: ¥1,430,000 (Direct Cost: ¥1,100,000、Indirect Cost: ¥330,000)
Fiscal Year 2013: ¥1,690,000 (Direct Cost: ¥1,300,000、Indirect Cost: ¥390,000)
Fiscal Year 2012: ¥1,690,000 (Direct Cost: ¥1,300,000、Indirect Cost: ¥390,000)
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| Keywords | 合併基準 / 製品差別化 |
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| Outline of Final Research Achievements |
We proceeded with theoretical analysis of mergers, product differentiation with locations, and product differentiation with differentiated demand function in order to make policy implications regarding mergers in differentiated markets.
In our 11 papers, we derived results that are counter to conventional wisdom in areas such as parameter conditions that bridge theoretical and empirical analyses, other disciplines such as engineering and marketing, and competition policy regarding mergers. In particular, we explain the last point. Mergers between similar firms tend to decrease social welfare, so the antitrust authorities are expected to block such mergers. However, we show that there are cases in which social welfare increases when sequential mergers occur after some mergers have already occurred. In such cases, it is better for the social planner to support these later mergers.
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Report
(5 results)
Research Products
(26 results)
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[Presentation] Too Many Attributes and Consumer's Dysfunction2014
Author(s)
Takeshi Ebina, Keita Kinjo
Organizer
Frontiers in Artificial Intelligence and Applications, 6th KES International Conference on Intelligent Decision Technologies
Place of Presentation
Akali Hotel, Chania, Greece
Year and Date
2014-06-19
Related Report
Invited
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