表題番号：2017A-048
日付：2018/04/04
研究課題エージェントベースモデルによるイノベーション政策分析
| 研究者所属（当時） | 資格 | 氏名 | |
|---|---|---|---|
| （代表者） | 社会科学総合学術院 社会科学部 | 教授 | 及川 浩希 |
| （連携研究者） | Keio University | Professor | Hiroshi Takahashi |
- 研究成果概要
- We investigate the relationship between location choices of firms in a technology space and innovations at the firm and technological category levels. We estimate firm distribution in a technology space with patent citation overlaps and trace the locational changes of each firm. We find that a firm generates more quality-adjusted patents if it moves less in the technology space it belongs, the average distance to other firms is smaller, and technology is less accumulated around that location. At the technological category level, patent productivity tends to be high with low average moving distance but high standard deviation of it, low average distance between firms, and high entry rate. We then develop an agent-based model that generates dynamic behaviors of firms in a technology space. In the model, a firm sequentially chooses its location to maximize firm value conditional on the location profile of other firms minus the cost of moving. The firm value depends on knowledge spillover and market competition, where those factors are related to technological distances. With agent-based simulation, we analyze the impacts of regulation shifts such as patent protection policy and R&D subsidy.