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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
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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.

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