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来源类型 | Article |
规范类型 | 其他 |
DOI | 10.24294/fsj.v0i0.913 |
Addressing climate change adaptation with a stochastic integrated assessment model: Analysis of common agricultural policy measures. | |
Ermolieva T; Boere E; Biewald A; Havlik P; Mosnier A; Leclere D | |
发表日期 | 2019 |
出处 | Financial Statistics Journal 1 (2) |
出版年 | 2019 |
语种 | 英语 |
摘要 | Stochastic agro-economic model GLOBIOM is used to demonstrate how best to design and evaluate the CAP’s financial and structural measures, both individually and jointly, in the face of inherent uncertainty and risk. The model accounts for plausible shocks simultaneously and derives measures that are robust against all shock scenarios; it can thus help avoid the irreversibility and sunk costs that occur in unexpected scenarios.To allow adequate agricultural production, we show that the distribution of CAP funds needs to account for exposure to risks, security targets, and the synergies between policy measures, including production, trade, storage, and irrigation technologies. |
主题 | Ecosystems Services and Management (ESM) |
关键词 | Climate change stochastic integrated assessment model Common Agricultural Policy adaptation robust policies GLOBIOM |
URL | http://pure.iiasa.ac.at/id/eprint/15770/ |
来源智库 | International Institute for Applied Systems Analysis (Austria) |
引用统计 | |
资源类型 | 智库出版物 |
条目标识符 | http://119.78.100.153/handle/2XGU8XDN/131576 |
推荐引用方式 GB/T 7714 | Ermolieva T,Boere E,Biewald A,et al. Addressing climate change adaptation with a stochastic integrated assessment model: Analysis of common agricultural policy measures.. 2019. |
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 | ||
913-3368-1-PB2.pdf(6348KB) | 智库出版物 | 限制开放 | CC BY-NC-SA | 浏览 |
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