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MAPS - Models, Assessment, and Policies for Sustainability

MAPS - Models, Assessment, and Policies for Sustainability
MAPS - 可持续发展模型、评估和政策
批准号:
10108808
负责人:
金额:
$55.79万
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 --

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中文摘要
翻译
MAPS旨在扩大政策、模式和评估的范围,以帮助实现可持续性、公平和人类福祉。缺乏证据表明经济增长和环境压力之间存在足够的绝对脱钩,这表明未来建立在经济增长基础上的发展轨迹可能是不可能的。迫切需要一种新的模式,使人类福祉与环境可持续性相协调--一种基于“后增长”方法的模式。这种想法是,高收入国家应该超越追求GDP增长的政策目标,转而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,但气候缓解模型中使用的主要综合评估模型(IAM)没有考虑增长后的政策或情景。MAPS的雄心是扩大政策制定者可供选择的政策范围,并将增长后的情景纳入政府间气候变化专门委员会和国际地球科学计划的重大科学评估。我们的目标是提供新的方法,帮助欧洲和世界回到地球的边界内,而不会在有价值的社会福利目标上妥协。为此,地图将使用参与性过程来制定新的政策包和方案,然后使用最先进的模拟模型来评估这些政策。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。地图将提供有关政策的知识,这些政策在维持或改善社会成果的同时,将资源使用减少到地球边界范围内。在这样做的过程中,它将通过扩大政策选择、模型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 future trajectories built on economic growth may not be possible. There is an urgent need for a new paradigm that reconciles human well being with environmental sustainability -- one based on a “post-growth” approach. The idea is that high-income countries should move beyond the pursuit of GDP growth as a policy goal, and instead pursue policies that improve human well-being while reducing resource use. Despite increasing interest in this idea, the main integrated assessment models (IAMs) used in climate mitigation modelling do not consider post-growth policies or scenarios. MAPS has the ambition to expand the range of policy options available to policymakers and incorporate post-growth scenarios into the major scientific assessments of the IPCC and IPBES. Our goal is to provide new approaches to 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-the art simulation model. In particular, it will estimate the resource use requirements of a good life, design social welfare systems that are growth-resilient, incorporate a broader range of environmental and social indicators into assessment models, and explore how alternative policies could be implemented in practice. MAPS will provide knowledge about policies that reduce resource use to be within planetary boundaries while maintaining or improving social outcomes. In so doing, it will improve decision-making capacity by broadening the range of policy options, modelling frameworks, and assessments for sustainability.
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