研究生: |
周晏芯 Chou, Yen-Hsin |
---|---|
論文名稱: |
企業社會資訊揭露對借款成本之影響(以台灣上市公司為例) Corporate Social Impact and Cost of Borrowing : Evidence from TWSE-Listed Companies |
指導教授: |
謝佩芳
HSIEH, PEI-FANG |
口試委員: |
蔡子晧
TSAI, TZU-HAO 余士迪 YU, SHIH-TI 林姿瑩 Lin, Zih-Ying |
學位類別: |
碩士 Master |
系所名稱: |
科技管理學院 - 財務金融碩士在職專班 Master Program of Finance and Banking |
論文出版年: | 2025 |
畢業學年度: | 113 |
語文別: | 中文 |
論文頁數: | 38 |
中文關鍵詞: | ESG 、社會變數 、金融機構借款利率 、勞力密集型產業 、技術密集型產業 |
外文關鍵詞: | ESG, social pillar, cost of borrowing, labor-intensive industries, technology-intensive industries |
相關次數: | 點閱:96 下載:3 |
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本研究採用普通最小平方法 ( Ordinary Least Squares, OLS ) 進行迴歸分析,旨在探討環境、社會與公司治理 ( Environmental, Social, and Governance,以下簡稱ESG ) 構面中,企業社會責任 ( S ) 表現對金融機構所提供借款利率之影響。本研究為體現ESG的長期效益,金融機構之借款利率選用長期借款利率,並使用四項與企業社會責任相關的變數,包括社區支出、員工訓練支出、健康罰鍰,以及總事故發生次數。接著,進一步以研發費用率作為企業技術密集程度之衡量指標,區分成四個級距,探討借款利率在技術密集產業及勞力密集產業下的差異。結果顯示,臺灣金融機構在ESG評估中,對企業社會層面中的社區支出特別重視,且該重視程度對勞力密集型企業的借貸條件產生較顯著之影響,反映出不同產業特性在ESG評估體系中可能存在差異化的效果。
This study uses the Ordinary Least Squares (OLS) regression model for empirical analysis. To examine the relationship between the social pillar of ESG and reflect the long-term benefits, this study adopts the long-term borrowing rate as the dependent variable. Four social-related variables are included as independent variables: community spending, employee training expenses, health-related fines, and the total number of workplace incidents. Furthermore, this study uses the R&D expenditure ratio as a proxy for a firm’s technological intensity, classifying firms into four quartiles to examine differences in borrowing rates between technology-intensive and labor-intensive industries. The empirical results reveal that Taiwanese financial institutions place particular emphasis on community spending when evaluating ESG criteria, and this emphasis has a more pronounced effect on borrowing conditions for labor-intensive firms. These findings suggest that industry characteristics may lead to differentiated effects within ESG assessment frameworks.