Integrating Nature-Climate Scenarios & Analytics for Financial Decision-Making (INCAF)
整合自然气候场景
基本信息
- 批准号:NE/X016358/1
- 负责人:
- 金额:$ 5.85万
- 依托单位:
- 依托单位国家:英国
- 项目类别:Research Grant
- 财政年份:2023
- 资助国家:英国
- 起止时间:2023 至 无数据
- 项目状态:已结题
- 来源:
- 关键词:
项目摘要
Over half of global gross domestic product is dependent on nature, yet the past decades have seen unprecedented damage to ecosystems and declines in biodiversity due to adverse human activities. Financial institutions (FIs) can play an important role in securing a nature-positive future. Decisions by FIs over capital allocation and risk pricing influence structural shifts in the real economy that have profound impacts on nature. Today, opportunities to align nature and capital in ways that benefit people, nature and FIs are missed because these impacts are not accounted for. Our aim is to contribute the foundational networks, upskilling of researchers and robust, standardised methods and tools needed to integrate biodiversity and nature into financial decision making. Our focus is the scenarios used by FIs to influence risk pricing and investment decisions, alongside the relevant and suitable data and tools needed for scenario analysis, such as asset-level data and tools to assess nature-related financial risks. A further novel aspect of our proposal is the on integrated nature-climate scenarios. Scenarios and analytics for use by FIs must consider biodiversity and climate in an integrated way. Biodiversity and climate are often treated in siloes, driving potential systemic risks. Important interactions and feedbacks are not accounted for, leading to underestimation of risks and critical tipping points. An important innovation in our proposal is to bring together the IPBES, IPCC and FI scenarios communities, leaders of whom are partners to this project, to address this gap. Integrating nature and climate requires new science; our proposal is to develop the networks and co-design and pilot the frameworks to achieve this - i.e. the foundational common framework and language needed to close the gap. This will create the foundation to Phase 2 that will generate the new datasets and toolkits needed.Here we particularly target scenarios and analytics for use by Central Banks and Supervisors (CB&Ss). This is because CB&Ss are important catalysts of wider action by FIs. Supervisory expectations and regulations, e.g. disclosure, capital requirements and stress-testing, set the rules by which FIs operate, while monetary policies shape the playing field, together having a major influence on global capital flows and so nature. In developing this proposal, we have consulted with the leading CB&Ss and policy makers (e.g. Defra, HMT) that are shaping this agenda and leading work on scenarios, all of whom have agreed to join the project as project partners. This includes the European Central Bank, the Banque de France, De Nederlandsche Bank, the Network of Central Banks and Supervisors (CB&Ss) for Greening the Financial System (NGFS), and the Task Force on Nature-Related Financial Disclosures (TNFD).Phase 1 of the project will deliver several important building blocks. Firstly, it will establish and operationalise the multi-disciplinary nature-climate-finance network. Secondly, it will co-develop the framework and guidance to generate the nature-climate scenarios and analytics, alongside syntheses of evidence and gap analyses. Finally, it will deliver a demonstrator application to a CB&S use case in stress testing nature-related risks. We will capture lessons learnt through this project to inform Phase 2, as well as share them to inform the development of the wider NERC Nature Positive Futures (NPF) programme. Our goal is that the network and the analytical framework developed will ultimately catalyse shifts in financial flows that reduce systemic risks and are aligned with a nature-positive future. Through consultations, we have understood the key milestones and actors to achieve this and shaped the project accordingly. We will work closely with our project partners, and link to UKCGFI, to ensure our outputs feed into the key processes, as well as collaborate with and support the wider NPF programme goals.
全球国内生产总值的一半以上依赖于自然,但过去几十年来,由于人类的不利活动,生态系统遭到前所未有的破坏,生物多样性下降。金融机构可以在确保自然积极的未来方面发挥重要作用。金融机构关于资本配置和风险定价的决定影响着真实的经济的结构变化,而结构变化又对自然产生深远影响。如今,由于没有考虑到这些影响,因此错过了以有利于人类、自然和金融机构的方式调整自然和资本的机会。我们的目标是贡献基础网络,提高研究人员的技能,以及将生物多样性和自然纳入财务决策所需的强大,标准化的方法和工具。我们的重点是金融机构用于影响风险定价和投资决策的情景,以及情景分析所需的相关和合适的数据和工具,例如评估自然相关金融风险的资产级数据和工具。我们提案的另一个新颖方面是关于综合自然-气候情景。供金融机构使用的情景和分析必须综合考虑生物多样性和气候。生物多样性和气候往往被孤立地对待,从而引发潜在的系统性风险。重要的互动和反馈没有考虑在内,导致低估风险和关键临界点。我们提案中的一个重要创新是将政府间科学政策平台、气专委和森林倡议设想方案社区(其领导人是该项目的合作伙伴)聚集在一起,以解决这一差距。整合自然和气候需要新的科学;我们的建议是发展网络,共同设计和试点框架,以实现这一目标-即缩小差距所需的基本共同框架和语言。这将为第二阶段奠定基础,第二阶段将生成所需的新数据集和工具包。在这里,我们特别针对中央银行和监管机构(CB&Ss)使用的场景和分析。这是因为CB和Ss是金融机构采取更广泛行动的重要催化剂。监管期望和监管,例如披露、资本要求和压力测试,确定了金融机构的运作规则,而货币政策则塑造了竞争环境,两者共同对全球资本流动及其性质产生重大影响。在制定这一提案时,我们咨询了正在制定这一议程并领导情景工作的领先CB&Ss和政策制定者(例如Defra,HMT),他们都同意作为项目合作伙伴加入该项目。这包括欧洲中央银行、法兰西银行、荷兰银行、中央银行和监管机构网络(CB&Ss)促进绿色金融体系(NGFS)以及与自然有关的金融披露工作组(TNFD)。首先,它将建立和运作多学科的自然-气候-金融网络。其次,它将共同制定框架和指南,以生成自然-气候情景和分析,以及证据和差距分析的综合。最后,它将为CB&S用例提供一个演示应用程序,用于对与自然相关的风险进行压力测试。我们将通过该项目获取经验教训,为第二阶段提供信息,并分享这些经验教训,为更广泛的NERC自然积极未来(NPF)计划的发展提供信息。我们的目标是,所开发的网络和分析框架将最终促进资金流动的转变,减少系统性风险,并与自然积极的未来保持一致。通过磋商,我们了解了实现这一目标的关键里程碑和参与者,并相应地塑造了该项目。我们将与我们的项目合作伙伴密切合作,并与UKCGFI建立联系,以确保我们的产出进入关键流程,并与更广泛的NPF计划目标合作和支持。
项目成果
期刊论文数量(0)
专著数量(0)
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会议论文数量(0)
专利数量(0)
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Paula Harrison其他文献
Development of a Homogeneous High-Throughput Screening Assay for Biological Inhibitors of Human Rhinovirus Infection
- DOI:
10.1177/1087057112469047 - 发表时间:
2013-03-01 - 期刊:
- 影响因子:
- 作者:
Philip Newton;Desmond O’Shea;Edward Wells;Kerry Moakes;Rebecca Dunmore;Robin J. Butler;Trevor Wilkinson;Alison Ward;Nigel Casson;Martin Strain;Katherine Vousden;David C. Lowe;Debbie V. Pattison;Alan M. Carruthers;Matthew A. Sleeman;Tristan J. Vaughan;Paula Harrison - 通讯作者:
Paula Harrison
Élément de liaison pour récepteur GM-CSF
GM-CSF 接收联络元件
- DOI:
- 发表时间:
2007 - 期刊:
- 影响因子:0
- 作者:
E. Cohen;Ralph Minter;Paula Harrison;Matthew Sleeman;A. Nash;L. Fabri - 通讯作者:
L. Fabri
Screening for specific learning difficulties (SpLD): The impact upon the progression of pre-registration nursing students
- DOI:
10.1016/j.nedt.2011.01.021 - 发表时间:
2012-01-01 - 期刊:
- 影响因子:
- 作者:
Jane Wray;Jo Aspland;Jayne Taghzouit;Kerry Pace;Paula Harrison - 通讯作者:
Paula Harrison
A conceptual framework to analyse the effects of environmental change on ecosystem services
分析环境变化对生态系统服务影响的概念框架
- DOI:
- 发表时间:
2009 - 期刊:
- 影响因子:0
- 作者:
Paula Harrison;M Rounsevell;G Luck;R Harrington;M Sykes;M Vandewalle;Rubicode partners - 通讯作者:
Rubicode partners
Common Frame of Reference to support the understanding of adaptation decision-making under high-end scenarios
通用参考框架,支持高端场景下适应决策的理解
- DOI:
- 发表时间:
2015 - 期刊:
- 影响因子:0
- 作者:
D. Deliverable;T. Lourenço;M. J. Cruz;H. Carlsen;Adis Dzebo;J. Tàbara;F. Cots;John F. Haslett;Paula Harrison - 通讯作者:
Paula Harrison
Paula Harrison的其他文献
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{{ truncateString('Paula Harrison', 18)}}的其他基金
Explainable AI for UK agricultural land use decision-making
英国农业土地使用决策的可解释人工智能
- 批准号:
NE/T003952/1 - 财政年份:2019
- 资助金额:
$ 5.85万 - 项目类别:
Research Grant
Explainable AI for UK agricultural land use decision-making
英国农业土地使用决策的可解释人工智能
- 批准号:
NE/T003952/2 - 财政年份:2019
- 资助金额:
$ 5.85万 - 项目类别:
Research Grant
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