打破ESG评级差异:环境评分的开放地理空间框架
Cristian Rossi1, Justin Gd Byrne2, Christophe Christiaen3
1UK Centre for Greening Finance and Investment (CGFI), Oxford, UK; University of Oxford, Oxford, UK; Satellite Applications Catapult, Harwell Campus, UK.
Journal of environmental management
|November 9, 2023
概括
地理空间数据可以通过提供一致和准确的评估来提高环境,社会和治理 (ESG) 评级. 这项研究提出了一个框架,将地理空间智能整合到更明智的财务决策中.
科学领域:
- 环境科学 环境科学
- 金融 金融 金融 金融 金融
- 地理空间分析的研究.
背景情况:
- 金融机构在决策中越来越依赖环境,社会和治理 (ESG) 绩效数据.
- 目前的ESG评级面临着数据不一致和缺乏标准化的方法的挑战.
- 地理空间数据有可能提高ESG评估的准确性,一致性和资产级别评估.
研究的目的:
- 探索将地理空间数据整合到ESG评级中,以便进行更强大,更标准化的评估.
- 提出一个地理空间环境评分框架来评估公司的ESG绩效.
- 解决当前ESG评级方法的差异.
主要方法:
- 开发一个地理空间环境评分框架,将影响分类为局部和非局部影响.
- 利用开源的地理空间数据进行广泛的地理覆盖和资产级别分析.
- 定义土地利用,生物多样性,土壤,水文,大气排放和全球气候影响的子分数.
主要成果:
- 拟议的框架允许将地理空间数据纳入ESG分析,提高评级的准确性和一致性.
- 该框架对环境影响进行了分类,使ESG风险和机遇能够得到更细致的评估.
- 一个测试案例证明了使用地理空间数据生成E-score的可行性.
结论:
- 地缘空间数据和分析为提高ESG评级的可靠性和标准化提供了一个有希望的解决方案.
- 开发的框架提供了一个可扩展和可泛化的方法,用于将空间智能纳入ESG评估中.
- 这种方法支持金融机构在ESG绩效方面做出更明智,更准确的决策.
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