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| Title: | 應用文字探勘分析致股東報告書語調與ESG評等及ESG揭露程度之關聯性
Analyzing the Tone of Letter to Shareholders through Text Mining: Exploring the Association between Tone, ESG Rating, and ESG Disclosure |
| Authors: | 李宗澤
Lee, Tsung-Tse |
| Contributors: | 張祐慈
Chang, Yu-Tzu
李宗澤
Lee, Tsung-Tse |
| Keywords: | ESG
企業社會責任
文字探勘
語調分析
ESG
Corporate social responsibility
Text mining
Tone analysis |
| Date: | 2023 |
| Issue Date: | 2023-08-02 13:27:46 (UTC+8) |
| Abstract: | 本研究使用2016年至2021年台灣非金融業上市公司的資料。首先，我隨機選取2016年所有致股東報告書中的80%為訓練集，其餘20%為測試集。我以人工方式標記每個句子的語調，並用訓練集中的句子訓練BERT語言模型。透過測試集的資料測試，BERT判讀語調的準確率高達86%。接著，我運用BERT模型計算出之致股東報告書語調分數，探討股東報告書的文字語調分別與企業未來ESG表現和ESG揭露程度之間的關係。實證結果顯示，致股東報告書語調越正面，企業未來一年ESG的表現和ESG揭露程度都會較好，有顯著正向關聯。進一步分析發現，致股東報告書語調越正面，企業未來一年分別在環境(E)、社會(S)、治理(G)的表現和揭露程度都會較好。本研究的結果顯示企業年報中的文字資訊確實有資訊價值，可以預測企業未來ESG表現和揭露意願。
This study uses data from non-financial listed companies in Taiwan from 2016 to 2021. Firstly, 80% of the letters to shareholders from 2016 were randomly selected as the training dataset, while the remaining 20% were designated as the testing dataset. Each sentence in both sets was manually labeled with its tone. The Bidirectional Encoder Representations from Transformers (BERT) language model was then trained using the training dataset. After training and testing, BERT achieved an 86% accuracy rate in classifying tones. Subsequently, by utilizing the tone scores obtained from the trained model, I examined the relationship between the tone of the letter to shareholders and the company’s future Environmental, Social, and Governance (ESG) performance and disclosure level. The empirical results demonstrate that a letter to shareholders with a more positive tone is significantly associated with better ESG performance and higher ESG disclosure level in the following year. Further analysis reveals that the more positive the textual tone, the better the company’s performance and disclosure level in the areas of environment, social, and governance, respectively. The study highlights the importance of textual information in a company’s annual report as an indicator of its future ESG performance and disclosure level. |
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| Description: | 碩士
國立政治大學
會計學系
110353045 |
| Source URI: | http://thesis.lib.nccu.edu.tw/record/#G0110353045 |
| Data Type: | thesis |
| Appears in Collections: | [會計學系] 學位論文
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