研究生: |
許珊蜜 HSU, SHAN-MI |
---|---|
論文名稱: |
ESG與碳排放量對企業財務績效的影響 - 以ESG評分為中介/調節變數 The Impact of ESG and Carbon Emissions on Corporate Financial Performance: The ESG Scores as Mediating/Moderating Variables |
指導教授: |
蔡子晧
Tsai, Tzu-Hao 莊明哲 Chuang, Ming-Che |
口試委員: |
余士迪
Yu, Shih-Ti 白東岳 PAI, TUNG-YUEH |
學位類別: |
碩士 Master |
系所名稱: |
科技管理學院 - 財務金融 Master Program of Finance and Banking |
論文出版年: | 2024 |
畢業學年度: | 112 |
語文別: | 中文 |
論文頁數: | 57 |
中文關鍵詞: | ESG 、碳排放量 、財務績效 、追蹤資料分析 、複迴歸模型分析 、Hausman檢定 |
外文關鍵詞: | ESG, Carbon emissions, Financial performance, Panel data analysis, Multiple regression model analysis, Hausman test |
相關次數: | 點閱:2 下載:0 |
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在當前氣候劇烈變化和能源資源減少的雙重挑戰下,全球各國政府、相關機構及企業逐漸意識到氣候變遷對人類生存的嚴重威脅,並逐步加強碳排放及能源的管理。同時,他們也越來越重視ESG永續發展議題,採取有效措施以實現減排目標,促進社會和經濟的永續發展。
本研究以台灣上市公司為主要研究對象,各公司的財務績效數據及ESG評分取自台灣經濟新報(Taiwan Economic Journal)資料庫,並結合台灣證券交易所(Taiwan Stock Exchange)的公司評鑑資料,以2016年至2022年區間的追蹤資料(Panel Data),最終選取759家公司,共計5,313個樣本觀察值。
本研究採用複迴歸模型分析,並使用Hausman檢定測試模型適配性。結果顯示,總碳排放量、直接及間接碳排放量取自然對數後與企業財務績效的複迴歸模型(ROA、ROE、TOBIN’S Q、EPS)及ESG在碳排放量與企業財務績效間的調節複迴歸模型均以固定效應模型較為適配。
在固定效應模型下之實證結果發現:(1)總碳排放量與環境保護構面(E)對企業財務績效皆呈現正相關,但並未達顯著水準;社會責任構面(S)對ROA、ROE和EPS呈負相關,對TOBIN’S Q呈正相關,但均未達顯著水準;公司治理構面(G)對TOBIN’S Q呈顯著正相關,對ROA、EPS呈正相關,對ROE呈負相關,但均未達顯著水準。(2)直接碳排放量與企業財務績效呈負相關,間接碳排放量則呈正相關,但均未達顯著水準;環境保護構面(E)對ROE有顯著正向影響;社會責任構面(S)和公司治理構面(G)對TOBIN’S Q有顯著正向影響。(3)透過Sobel檢定計算結果發現ESG在總碳排放量、直接及間接碳排放量與企業財務績效(ROA、ROE、TOBIN’S Q、EPS)間無顯著中介效果。(4)環境保護構面(E)在總碳排量對EPS間具有正向調節效果,在直接碳排量對ROA、ROE、EPS間也具有正向調節效果;社會責任構面(S)在直接碳排放量對ROA和EPS間具有負向調節效果。
Amid the dual challenges of dramatic climate change and dwindling energy resources, governments, institutions, and enterprises worldwide are increasingly recognizing the severe threat that climate change poses to human survival. Consequently, there has been a concerted effort to enhance the management of carbon emissions and energy usage. Simultaneously, there is growing attention towards the issue of ESG (Environmental, Social, and Governance) sustainability, with effective measures being adopted to achieve emission reduction targets and promote sustainable social and economic development.
This study focuses on publicly listed companies in Taiwan, with financial performance data and ESG scores sourced from the Taiwan Economic Journal (TEJ) database, supplemented by company evaluation data from the Taiwan Stock Exchange (TSE). The study utilizes panel data from 2016 to 2022, ultimately selecting 759 companies, comprising a total of 5,313 sample observations.
A multiple regression model analysis was employed, with the Hausman test used to assess model suitability. The results indicated that for the multiple regression models of total carbon emissions, direct carbon emissions, and indirect carbon emissions (log-transformed) on corporate financial performance (ROA, ROE, TOBIN’S Q, EPS), and for the moderation regression models of ESG in the relationship between carbon emissions and corporate financial performance, a fixed-effects model was more appropriate.
The empirical results under the fixed-effects model revealed the following: (1) Total carbon emissions and the environmental dimension (E) showed a positive correlation with corporate financial performance, though not reaching statistical significance. The social dimension (S) had a negative correlation with ROA, ROE, and EPS, and a positive correlation with TOBIN’S Q, but none were statistically significant. The governance dimension (G) had a significantly positive correlation with TOBIN’S Q, a positive correlation with ROA and EPS, and a negative correlation with ROE, but none were statistically significant. (2) Direct carbon emissions were negatively correlated with corporate financial performance, while indirect carbon emissions were positively correlated, though neither was statistically significant. The environmental dimension (E) had a significant positive impact on ROE. The social (S) and governance (G) dimensions had significant positive impacts on TOBIN’S Q. (3) The Sobel test results indicated that ESG did not have a significant mediating effect in the relationship between total carbon emissions, direct and indirect carbon emissions, and corporate financial performance (ROA, ROE, TOBIN’S Q, EPS). (4) The environmental dimension (E) had a positive moderating effect on the relationship between total carbon emissions and EPS, as well as on the relationship between direct carbon emissions and ROA, ROE, and EPS. The social dimension (S) had a negative moderating effect on the relationship between direct carbon emissions and ROA and EPS.
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