| 来源类型 | Publication |
| A Computational Analysis of R&D Support Programs | |
| Prof. Dan Peled; Dagoberto Garza; Yahel Giat; Steve Hackman | |
| 发表日期 | 2013-02 |
| 出版年 | 2013 |
| 语种 | 英语 |
| 摘要 | Government R&D support programs are examined within a dynamic equilibrium model of imperfectly competitive industries in order to study the effectiveness of such programs and the extent to which their design matters. We compare two common support schemes, R&D tax credit and direct R&D grants. Adopting comprehensive welfare measures that take into account government, producer and consumer surpluses, we find that both schemes exhibit positive social returns. Mid-range R&D intensive sectors exhibit higher social returns than either high or low R&D intensive sectors. Both incentive schemes generate positive measures of R&D input additionality of magnitudes consistent with empirical R&D research. However, R&D grants that require firms to allocate subsidy funds to R&D spur less R&D than a more flexible R&D tax credit. Subsidy schemes can even induce competing firms to over-spend on R&D, generating negative producer surplus and possibly negative social returns. |
| URL | https://www.neaman.org.il/EN/Computational-Analysis-RD-Support-Programs |
| 来源智库 | Science and Technology Policy Institute (Republic of Korea) |
| 资源类型 | 智库出版物 |
| 条目标识符 | http://119.78.100.153/handle/2XGU8XDN/472206 |
| 推荐引用方式 GB/T 7714 | Prof. Dan Peled,Dagoberto Garza,Yahel Giat,et al. A Computational Analysis of R&D Support Programs. 2013. |
| 条目包含的文件 | ||||||
| 文件名称/大小 | 资源类型 | 版本类型 | 开放类型 | 使用许可 | ||
| 201342105859_2017042（13KB） | 智库出版物 | 限制开放 | CC BY-NC-SA |  浏览 | ||
| 6-375.pdf（717KB） | 智库出版物 | 限制开放 | CC BY-NC-SA | 浏览 | ||
| 文件名： | 201342105859_20170425103756.288.jpg |
| 格式： | JPEG |
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