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RGS' UN Sustainable Development Data | Companies SDG Contribution | 7k+ Global Companies | 7 Years History | All Sectors | Tickerized

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Datarade2024-04-19 收录
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https://datarade.ai/data-products/rgs-rift-contribution-to-un-sustainable-development-goals-s-richmond-global-sciences
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资源简介:
The Contribution to UN SDG Tool & Impact Data enables customers to quantify the contribution of investments to all 17 Sustainable Development Goals (SDG) and can be used to assess a company’s negative and positive impacts across each of the SDGs, providing a 360-degree view of a company’s SDG performance. The SDG Tool & Impact Data is bundled with the RGS RIFT SaaS platform but available to license as a standalone product. The SDG Tool & Impact Data is substantially differentiated from other SDG datasets as RGS RIFT incorporates the measurement of product impacts - measuring outcomes rather than intentions - to provide a more complete ESG Impact analysis, enabling investors to better meet the needs of clients and regulators and enabling capital to flow to companies making positive impacts to their stakeholders. The RGS RIFT: Contribution to UN SDG Tool & Impact Data is differentiated from our competitors in 5 key ways: 1) RGS RIFT moves beyond traditional ESG metrics by quantifying the impacts of the products and services that companies produce. 2) The RGS RIFT SDG Tool & Impact Data allow investors to assess the contribution to the SDGs using a consistent impact framework. 3) RGS RIFT translates ESG data into monetary values for easy comparison across industries and impact dimensions and integration into financial modelling frameworks. 4) RGS RIFT only measures concrete outcome metrics rather than inputs or intentions to avoid greenwashing. 5) RGS RIFT is based on a robust, researched methodology, aligned with Harvard Business School’s Impact Weighted Accounts Initiative (IWAI).
提供机构:
Richmond Global Sciences
搜集汇总
数据集介绍
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背景与挑战
背景概述
该数据集用于量化全球7000多家公司对联合国17个可持续发展目标的贡献,提供7年历史数据,覆盖所有行业并包含股票代码信息。它通过测量企业产品和服务的实际影响来区分于传统ESG指标,避免绿色清洗,并将数据转化为货币价值以便跨行业比较和金融建模。
以上内容由遇见数据集搜集并总结生成
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