ESG Assessment

ESG Scores Sample

In this consulting, we proposed a method for calculating ESG scores by analyzing unstructured text data(Yang & Yang, 2022).

Your ESG REPORT(Sustainability report) includes comprehensive information on short-term or long-term ESG operating approaches such as ESG MANAGEMNET, ESG STRATEGY, ESG TASKS, MATERIALITY ASSESSMENT, STAKEHOLDER ENGAGEMENT and so on.

Therefore, the evaluation reflects the implementation of initiatives performance and advancements of ESG strategies. Consequently, it is captivating to observe that each company sets distinct goals and exhibits strategic characteristics while documenting their individual operations and distinctive ESG strategies.

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To ensure the ESG evaluation scores are yearly based on annual data or quarterly specific events work. By quantifying ESG Scores in your company, it becomes possible to objectively discern attributes of a company's ESG management practices.

"ESG Assessment results" as shown below "Sample Figures"

<ESG Scores Sample Results>

<Environment Assessment Results>

<Society Assessment Result>

<Governance Assessment Result>

Companies willingly produce unstructured textual content that possesses inherent informational value, which can be directly interpreted to discern their distinctive ESG traits.

The distinctive characteristics of this ESG evaluation method include the substantial reduction in data preprocessing time. When considering the K-ESG guidelines, which consist of 61 fundamental diagnostic items, divided into 17 environmental items, 22 social items, 17 governance items, and 5 information disclosure items, the evaluation becomes more extensive in the case of KCGS, encompassing 265 basic evaluation items.

<Environment Society Governance Detailed Results>

In comparison to existing evaluation methods, the unstructured text quantification method simplifies data collection and provides excellent processing speed, enabling quick analysis of vast datasets. In addition, by utilizing programmed algorithmic calculations, the occurrence of human errors is minimized, and the flexibility of analysis allows for granular ESG scores to be constructed down to the minutest details. Based on these excellent technical characteristics, the characteristics of this ESG evaluation method are as follows.

This evaluation method derives ESG scores by collecting unstructured data from ESG reports, simplifying assessment of ESG Scores and reducing the likelihood of data errors compared to existing evaluation methods.

<Comparison of Results>

<Sample Result>

A recent trend in this field is the growing emphasis on incorporating unstructured data in studies, and facilitated by the rapid progress of digitization during the era of digital transformation. The development of natural language processing technology has revolutionized text analysis, eliminating the previous perception of its challenge in connection with empirical analysis.

If you are interested in ESG consulting, Any questions, please let me know.

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Reference

Yang, B. M. and Yang, O. S. (2022), “A Study of Extracting ESG Scores through Word2Vec Model: Methodological Suggestions for Quantitative Text Analysis Using Similarity from Unstructured Documents,” Journal of Business Research, 37, 57-72.