Addressing climate change adaptation with a stochastic integrated assessment model: Analysis of common agricultural policy measures

T. Ermolieva, E. Boere, A. Biewald, P. Havlík, A. Mosnier, D. Leclère, H. Valin, S. Frank, M. Obersteiner, Y. Ermoliev
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引用次数: 4

Abstract

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. 
用随机综合评估模型解决气候变化适应问题:共同农业政策措施分析
使用随机农业经济模型GLOBIOM来演示如何在面对固有的不确定性和风险时,单独或联合地最好地设计和评估CAP的金融和结构措施。该模型同时考虑了可能的冲击,并推导出对所有冲击情景都具有鲁棒性的度量;因此,它可以帮助避免在意外情况下发生的不可逆性和沉没成本。为了实现充足的农业生产,我们表明共同农业政策资金的分配需要考虑风险暴露、安全目标以及政策措施(包括生产、贸易、储存和灌溉技术)之间的协同效应。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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