Net0Chain: A blockchain based sustainable model using climate risks and resilient financial model to reduce carbon in the supply chain

最近，在弥合金融风险评估与气候情景建模方法之间的鸿沟方面取得了重大进展。尽管如此，大多数现有的评估供应链中的物理和过渡风险的方法尚未提供一个全面的解决方案，以解决如何将物理危害转化为财务影响，此外，目前可用的框架没有解决过渡如何可能产生不可预见的监管反应，就像气候变化可能是高度非线性的。尽管如此，气候和环境风险（CER）评估行业仍因采用仅应对长期气候影响的策略而受到批评，仅限于在现有风险分析模型中评估基线气候情景。评估气候影响客户稳定性、投资组合和资产管理的风险，同时减少任何尽职调查风险。重要的是，该项目将首次有组织地深入了解各种价值创造模式的优势，允许以最低的可行资源成本实现效益，同时限制风险。因此，研究结果将有助于政府机构、地方政府和其他从事气候和环境风险分析的金融机构。它们可以在国家和国际上推广。

Recently, significant strides have been made towards bridging the divide between financial risk assessment and climate scenario modelling methodologies. Notwithstanding, most existing approaches for assessing physical and transition risks in the supply chain are yet to provide a comprehensive solution for addressing how physical hazards translate into financial impacts.Furthermore, the presently available frameworks do not address how transitions can arise from unforeseen regulatory responses, just as climate change can be highly nonlinear. Nevertheless, the climate and environmental risks (CER) assessment industry is still criticised for adopting strategies that only tackle long-term climate impacts, limiting themselves to assessing baseline climate scenarios in the existing risk analysis models.Net0Chain could become a powerful tool for banks, insurance, asset management, and investment vehicles, among many other public institutions, to assess the risk of climate impacting the stability of their clients, their portfolios and the management of their assets while reducing any due diligence exposures.Significantly, this project will provide the first organised insight into the advantages of the various value creation models, allowing benefits to be realised at the lowest feasible resource costs while limiting risks. As a result, the findings will be helpful to government agencies, local governments, and other financial institutions working with climate and environmental risk analytics. They can be replicated nationally and internationally.