MAPS: Models, Assessment, and Policies for Sustainability
MAPS: Models, Assessment, and Policies for Sustainability
批准号:
10103115
负责人:
金额:
$44.06万
依托单位:
依托单位国家:
英国
项目类别:
EU-Funded
财政年份:
2024
资助国家:
英国
项目状态:
未结题
起止时间:
2024 至 --
中文摘要
MAPS旨在扩大政策、模型和评估的范围,以帮助实现可持续性、公平和人类福祉。经济增长和环境压力之间缺乏足够的绝对脱钩的证据表明,建立在经济增长基础上的未来轨迹可能是不可能的。我们迫切需要一种新的范式,以“后增长”方法为基础,调和人类福祉与环境可持续性。其理念是,高收入国家不应将追求GDP增长作为政策目标,而应追求在减少资源使用的同时改善人类福祉的政策。尽管人们对这一想法越来越感兴趣,但用于气候减缓建模的主要综合评估模型并未考虑增长后的政策或情景。MAPS的目标是扩大决策者可用的政策选择范围,并将后增长情景纳入IPCC和IPBES的主要科学评估。我们的目标是提供新的方法,帮助欧洲和世界回到地球边界内,而不损害有价值的社会福利目标。为此目的,MAPS将利用参与性进程制定新的一揽子政策和方案,然后利用最先进的模拟模型对这些政策进行评估。特别是,它将估计美好生活的资源使用需求,设计具有增长弹性的社会福利制度,将更广泛的环境和社会指标纳入评估模型,并探索如何在实践中实施替代政策。MAPS将提供有关在维持或改善社会成果的同时减少地球范围内资源使用的政策的知识。在这样做时,它将通过扩大政策选择、建模框架和可持续性评估的范围来提高决策能力。
英文摘要
MAPS aims to broaden the range of policies, models, and assessments to help achieve sustainability, equity, and human well-being.The lack of evidence for sufficient absolute decoupling between economic growth and environmental pressures suggests that futuretrajectories built on economic growth may not be possible. There is an urgent need for a new paradigm that reconciles human wellbeing with environmental sustainability -- one based on a “post-growth” approach. The idea is that high-income countries should movebeyond the pursuit of GDP growth as a policy goal, and instead pursue policies that improve human well-being while reducing resourceuse. Despite increasing interest in this idea, the main integrated assessment models (IAMs) used in climate mitigation modelling do notconsider post-growth policies or scenarios. MAPS has the ambition to expand the range of policy options available to policymakers andincorporate post-growth scenarios into the major scientific assessments of the IPCC and IPBES. Our goal is to provide new approachesto help steer Europe and the world back within planetary boundaries without compromising on valuable social welfare goals. To this end,MAPS will use participatory processes to develop new policy packages and scenarios, and then assess these policies using a state-of-theart simulation model. In particular, it will estimate the resource use requirements of a good life, design social welfare systems that aregrowth-resilient, incorporate a broader range of environmental and social indicators into assessment models, and explore how alternativepolicies could be implemented in practice. MAPS will provide knowledge about policies that reduce resource use to be within planetaryboundaries while maintaining or improving social outcomes. In so doing, it will improve decision-making capacity by broadening therange of policy options, modelling frameworks, and assessments for sustainability.
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国内基金
海外基金
Scalable Learning and Optimization: High-dimensional Models and Online Decision-Making Strategies for Big Data Analysis
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批准号:--
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项目类别:合作创新研究团队
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资助金额:--
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批准年份:2024
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负责人:姚韬
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依托单位:
新型手性NAD(P)H Models合成及生化模拟
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批准号:20472090
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项目类别:面上项目
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资助金额:23.0万元
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批准年份:2004
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负责人:王乃兴
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依托单位: