| 来源类型 | Working Paper |
| 规范类型 | 论文 |
| Robust Control in Global Warming Management: An Analytical Dynamic Integrated Assessment | |
| Magnus Hennlock | |
| 发表日期 | 2009-05-04 |
| 出版年 | 2009 |
| 页码 | DP 09-19 |
| 语种 | 英语 |
| 摘要 | Imperfect measurement of uncertainty (deeper uncertainty) in climate sensitivity is introduced in a two-sectoral integrated assessment model (IAM) with endogenous growth, based on an extension of DICE. The household expresses ambiguity aversion and can use robust control via a 'shadow ambiguity premium' on social carbon cost to identify robust climate policy feedback rules that work well over a range such as the IPCC climate sensitivity range (IPCC, 2007a). Ambiguity aversion, in combination with linear damage, increases carbon cost in a similar way as a low pure rate of time preference. However, ambiguity aversion in combination with non-linear damage would also make policy more responsive to changes in climate data observations. Perfect ambiguity aversion results in an infinite expected shadow carbon cost and a zero carbon consumption path. Dynamic programming identifies an analytically tractable solution to the IAM. |
| 主题 | Environmental Economics Topics ; Risk and Uncertainty ; Climate Change |
| 子主题 | Carbon Tax ; Uncertainty |
| URL | http://www.rff.org/research/publications/robust-control-global-warming-management-analytical-dynamic-integrated |
| 来源智库 | Resources for the Future (United States) |
| 资源类型 | 智库出版物 |
| 条目标识符 | http://119.78.100.153/handle/2XGU8XDN/40997 |
| 推荐引用方式 GB/T 7714 | Magnus Hennlock. Robust Control in Global Warming Management: An Analytical Dynamic Integrated Assessment. 2009. |
| 条目包含的文件 | 条目无相关文件。 | |||||
| 个性服务 |
| 推荐该条目 |
| 保存到收藏夹 |
| 导出为Endnote文件 |
| 谷歌学术 |
| 谷歌学术中相似的文章 |
| [Magnus Hennlock]的文章 |
| 百度学术 |
| 百度学术中相似的文章 |
| [Magnus Hennlock]的文章 |
| 必应学术 |
| 必应学术中相似的文章 |
| [Magnus Hennlock]的文章 |
| 相关权益政策 |
| 暂无数据 |
| 收藏/分享 |
除非特别说明，本系统中所有内容都受版权保护，并保留所有权利。
