globalchange  > 气候变化事实与影响
DOI: 10.1007/s10666-018-9612-8
WOS记录号: WOS:000465584000008
论文题名:
Assessing the Sustainability of Optimal Pollution Paths in a World with Inertia
作者: Leandri, Marc1; Tidball, Mabel2
通讯作者: Leandri, Marc
刊名: ENVIRONMENTAL MODELING & ASSESSMENT
ISSN: 1420-2026
EISSN: 1573-2967
出版年: 2019
卷: 24, 期:2, 页码:249-263
语种: 英语
英文关键词: Optimal pollution control ; Assimilative capacity ; Inertia ; Ecosystem services ; Climate change ; Oceans
WOS关键词: SINK ; TECHNOLOGY ; SATURATION
WOS学科分类: Environmental Sciences
WOS研究方向: Environmental Sciences & Ecology
英文摘要:

Most formal optimal pollution control models in environmental economics assume a constant natural assimilative capacity, despite the biophysical evidence on feedback effects that can degrade this environmental function, as is the case with the reduction of ocean carbon sinks in the context of climate change. The few models that do consider this degradation establish a bijective relation between the pollution stock and the assimilative capacity, thus ignoring the inertia mechanism at stake. Indeed the level of assimilative capacity is not solely determined by the current pollution stock but also by the history of this stock and by the length of time the ecosystem remains above the degradation threshold. We propose an inertia assessment tool that tests the sustainability of any benchmark optimal pollution path when the inertia of the assimilative capacity degradation process is taken into account. Our simulations show a strong sensitivity to both the inertia degradation speed and the discount rate, thus stressing the need for increased monitoring of natural assimilative capacity in environmental policies.


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资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/133363
Appears in Collections:气候变化事实与影响

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作者单位: 1.Univ Versailles St Quentin Yvelines, CEMOTEV, 47 Bd Vauban, F-78047 Guyancourt, France
2.Univ Montpellier, CEE M, CNRS, INRA,SupAgro, 2 Pl Viala, F-34060 Montpellier 1, France

Recommended Citation:
Leandri, Marc,Tidball, Mabel. Assessing the Sustainability of Optimal Pollution Paths in a World with Inertia[J]. ENVIRONMENTAL MODELING & ASSESSMENT,2019-01-01,24(2):249-263
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