Handle with care: Challenges in company-level emissions data for assessing financial risks from climate change

Andrej Bajic , Rüdiger Kiesel , Martin Hellmich
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Abstract

Climate data play an important role for market actors and regulators to assess climate-related vulnerability. The most important quantitative class of such data are carbon emissions as almost all metrics to analyse carbon exposure relate to carbon emissions of companies and countries. This paper provides a detailed analysis of the quality of carbon emission data, points out the most common data flaws, and offers suggestions for a robust empirical analysis. Using a large data set of company-level carbon emissions, we show that year-by-year analysis of the consistency of company emissions is required to identify data flaws. Also, we find that economic and carbon data are not perfectly synchronised. As all carbon-emission metrics suffer from similar data inconsistencies robustness of results is not achieved by using several such metrics. Thus, our findings serve as a warning for the reliability of emission data reporting and their unreflected use in empirical analyses.

小心处理:公司层面的排放数据在评估气候变化带来的金融风险方面面临的挑战
气候数据对市场参与者和监管机构评估气候相关脆弱性具有重要作用。这类数据中最重要的定量类别是碳排放,因为几乎所有分析碳暴露的指标都与公司和国家的碳排放有关。本文对碳排放数据的质量进行了详细分析,指出了最常见的数据缺陷,并为稳健的实证分析提出了建议。使用公司层面碳排放的大型数据集,我们表明需要对公司排放的一致性进行逐年分析,以识别数据缺陷。此外,我们发现经济和碳数据并非完全同步。由于所有碳排放指标都存在类似的数据不一致性,因此使用几个这样的指标无法实现结果的稳健性。因此,我们的研究结果对排放数据报告的可靠性及其在实证分析中的未反映使用提出了警告。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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