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完整後設資料紀錄
DC 欄位 | 值 | 語言 |
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dc.contributor.advisor | 陳家麟 | zh_TW |
dc.contributor.advisor | Chia-Lin Chen | en |
dc.contributor.author | 陳筱淇 | zh_TW |
dc.contributor.author | Hsiao-Chi Chen | en |
dc.date.accessioned | 2024-02-22T16:17:33Z | - |
dc.date.available | 2024-02-23 | - |
dc.date.copyright | 2024-02-22 | - |
dc.date.issued | 2024 | - |
dc.date.submitted | 2024-01-30 | - |
dc.identifier.citation | 1. Ajour El Zein, Samer, Carolina Consolacion-Segura, and Ruben Huertas-Garcia. (2020). "The Role of Sustainability in Brand Equity Value in the Financial Sector" Sustainability 12, no. 1: 254. https://doi.org/10.3390/su12010254
2. Alareeni, B.A. and Hamdan, A. (2020), "ESG impact on performance of US S&P 500-listed firms", Corporate Governance, Vol. 20 No. 7, pp. 14091428. https://doi.org/10.1108/CG-06-2020-0258 3. Alex Cheema-Fox, Bridget R. LaPerla, Hui Wang, George Serafeim. (2021) “Corporate Resilience and Response During COVID-19” 4. Alqallaf, H. and Alareeni, B. (2018), “Evolving of selected integrated reporting capitals among listed Bahraini banks”, International Journal of Business Ethics and Governance, Vol. 1 No. 1, pp. 15-36. 5. B.A. Alareeni, A. Hamdan (2020), "ESG impact on performance of US S&P 500-listed firms", Corporate Governance, 20 (7) , pp. 1409-1428 6. Balestra, P., Nerlove, M. (1996). “Formulation and Estimation of Econometric Models for Panel Data. In: Mátyás”, L., Sevestre, P. (eds) The Econometrics of Panel Data. Advanced Studies in Theoretical and Applied Econometrics, vol 33. Springer, Dordrecht. 7. Broadstock, D. C., Chan, K., Cheng, T. W., & Wang, X. (2020). “The role of ESG performance during times of financial crisis: Evidence from COVID-19 in China.” 8. Brown, T. A. (2006), “Confirmatory factor analysis for applied research. Guilford Press.” 9. Carol A. Adams& Subhash Abhayawansa. (2022). “Connecting the COVID-19 pandemic, environmental, social, and governance (ESG) investing and calls for 'harmonization' of sustainability reporting.” 10. Cek, K., & Eyupoglu, S. (2020). “Does environmental, social and governance performance influence economic performance?” Journal of Business Economics and Management, 21(4), 1165-1184. https://doi.org/10.3846/jbem.2020.12725 42 11. Cohen, J, Cohen, P, West, S. G., and Aiken, L. S. (2003). “Applied Multiple Regression/ Correlation Analysis for the Behavioral Sciences (3rd ed.)”. Hillsdale, NJ: Lawrence Erlbaum. 12. Cornett M.M., Erhemjamts O., Tehranian H (2016). “Greed or good deeds: An examination of the relation between corporate social responsibility and the financial performance of U.S. commercial banks around the financial crisis.” J. Bank. Finance. 70(C):137–159 13. Dane M. Christensen & Amir Amel-Zadeh. (2021). “Why is Corporate Virtue in the Eye of the Beholder? The Case of ESG Ratings” 14. Daoud, Jamal I. (2017). “Multicollinearity and Regression Analysis.” Journal of Physics: Conference Series. 949. 012009. 10.1088/1742-6596/949/1/012009. 15. Dillon, W. R., & Goldstein, M. (1984). “Multivariate analysis: methods and applications.”, New York (N.Y.): Wiley. 16. Fox, John. (1991). “Regression Diagnostics: An Introduction. Sage Publications.” 17. Galbreath, J. (2013), “ESG in focus: the Australian evidence”, Journal of Business Ethics, Vol. 118 No. 3, pp. 529-541. 18. George Serafeim& Aaron Yoon. (2022). “Stock Price Reactions to ESG News: The Role of ESG Ratings and Disagreement” 19. Hae-Young Kim. (2013). “Statistical notes for clinical researchers: assessing normal distribution (2) using skewness and kurtosis” 20. Hair, J. F., Black, W. C., Babin, B. J., & Anderson, R. E. (2010). “Multivariate data analysis (7th ed.)”. Prentice-Hall. 21. Hill, Guay, Lim. (2008). “Principles of econometrics” 22. Hsiao. (2003). “Analysis of panel data - second edition, University of Southern California” 23. Indurkhya A, Gardiner JC, Luo Z. (2001). “The effect of outliers on confidence interval procedures for cost-effectiveness ratio” 24. J. A. Hausman. (1978). “Specification Tests in Econometrics, Econometrica”, Vol. 46, No. 6, pp. 1251-1271 25. Kalton G, Kasprzyk D, and McMillen DB. (1989).” Nonsampling errors in panel surveys”, in Panel Surveys, D Kasprzyk, G Duncan, G Kalton, and MP Singh, ed. New York: J Wiley and Sons, Inc. 26. Li, Z. F., Zhou, Q., Chen, M., & Liu, Q. (2021). “The impact of COVID-19 on industry-related characteristics and risk contagion”. Finance research letters, 39, 101931. https://doi.org/10.1016/j.frl.2021.101931 27. Lins K.V., Servaes H., Tamayo A. Soc. Capit. (2017). “Trust Firm Perform.: The Value of Corporate Social Responsibility during the Financial Crisis” The Journal of Finance. 2017;72(4):1785–1824 28. Mundlak, Y. (1961). “Empirical Production Functions Free of Management Bias” Journal of Farm Economics, 43: pp. 44–56. 29. N. C. Ashwin Kumar, Camille Smith, Leïla Badis, Nan Wang, Paz Ambrosy & Rodrigo Tavares. (2012). “ESG factors and risk-adjusted performance: a new quantitative model” 30. Nicholson, G., Kiel, G. and Kiel-Chisholm, S. (2011), “The contribution of social norms to the global financial crisis: a systemic actor focused model and proposal for regulatory change”, Corporate Governance: An International Review, Vol. 19 No. 5, pp. 471-488. 31. Patrick Bolton, Morgan Després, Luiz Awazu, Pereira da Silva, Frédéric Samama and Romain Svartzman (2020), “The green swan, Bank for International Settlements”, https://EconPapers.repec.org/RePEc:bis:bisbks:31. 32. R. Dennis Cook, Sanford Weisberg, (1983). “Diagnostics for Heteroskedasticity in Regression. Biometrika”. 1983, 70 (1): 1–10. 33. Rex B. Kline or Kline, Rex B. (2015). “Principles and Practice of Structural Equation Modeling (4th edition)”. Guilford Press 34. Ricardo J. Caballero Alp Simsek. (2020). “Monetary policy and asset price overshooting: A rationale for the wall/main street disconnect”, National bureau of economic research. 35. Sellin, N. (1990). “PLSPATH Version 3”. 01. Application Manual. Hamburg, Germany 36. Stella Anastasia. (2023). COVID-19 是否提高了 ESG 評級的重要性並促使公司提高 ESG 績效? (碩士論文)中原大學,桃園市。 37. Stuart L. Gillan, Andrew Koch, Laura T. Starks (2021), "Firms and social responsibility: A review of ESG and CSR research in corporate finance", Journal of Corporate Finance, Volume 66, 101889, ISSN 0929-1199, https://doi.org/10.1016/j.jcorpfin.2021.101889 38. T. S. Breusch, A. R. Pagan. (1980). “The Lagrange Multiplier Test and its Applications to Model Specification in Econometrics.” 39. Tabachnick, B. G., & Fidell, L. S. (2013). “Using multivariate statistics (6th ed.)”. Allyn and Bacon. 40. United Nations, The Global Compact. (2004). “Who Cares Wins: Connecting the Financial Markets to a Changing World?” United Nations. https://www.unglobalcompact.org/docs/issues_doc/Financial_markets/who_care s_who_wins.pdf 41. Vittinghoff E. (2005), “Regression Methods in Biostatistics: Linear, Logistic, Survival, and Repeated Measures Models”. Springer 42. William H. Greene. (2012). "Econometric Analysis, 7th ed.”, Upper Saddle River, NJ, USA: Prentice-Hall. 43. 余彥良(2021) ESG 評級收斂之探討 : 以三間評級公司為例(碩士論文)。國立政治大學,台北市。 44. 湯偉宏(2019)企業投入ESG效益之研究–以總體經濟、機構投資人探討(碩士論文)。國立政治大學,台北市。 45. 葉宇辰(2020)建構ESG股息波動投資組合:隨機森林與PSO方法的結合(碩士論文)。國立政治大學,台北市。 46. 葉承哲(2021)整合ESG之價值、成長投資策略-台灣市場之探討(碩士論文)。國立政治大學,台北市。 47. 賴晨心(2020)機器學習下建構ESG股息波動因子投資組合(碩士論文)。國立政治大學,台北市。 48. 郭芷因(2021)環境、社會與公司治理(ESG)與公司績效之關聯性(碩士論文)。南臺科技大學,台南市。 49. 陳思羽(2018)台灣ESG投資組合的建構與績效衡量(碩士論文)。國立中山大學,高雄市。 50. 陳璟宜(2020)ESG 評比差異與資訊不完全(碩士論文)。國立臺灣大學,台北市。 | - |
dc.identifier.uri | http://tdr.lib.ntu.edu.tw/jspui/handle/123456789/91698 | - |
dc.description.abstract | 本研究以縱橫數據模型探討ESG治理對台灣上市櫃公司財務影響。根據TEJ的TESG資料庫,以2016年至2022年國內上市櫃849間企業的資產報酬率和股東權益報酬率為績效評估,採用ESG各構面的評級結合不同財務變數,探討企業在環境、社會、公司治理的投入對績效影響的關聯性。
透過模型數據發現:納入永續治理的量化分數後,企業在環境、社會、公司治理各構面的分數與ROE的相關性為正向顯著。其次,將企業分為領先、平均和落後三類之後,發現領先群組在ROE呈現出正向關聯,在ROA上的影響卻為負向不如預期。並且,企業的Tobin’s Q與股利殖利率根據產業差異互有正負影響。第三,通過分析不同SASB主產業的ESG表現和財務獲利表現的差異,發現相異的產業確實存在競爭模式之差異,舉如屬於ESG領先群組在提煉與礦產業、科技與通訊業對ROE有正向影響,然而在運輸業與ROE為負向關聯。最後,ROE與ROA互為應變數時均表現了正向關聯性,但是ROA作為自變數時係數明顯較低,暗示了企業可能須先為了處理永續議題負擔高昂的資產成本,一味地購置廠房設備不見得能均等地轉換為股東權益的營運成長,但投資人仍重視公司是否能有效整合不同層級的永續治理策略。 | zh_TW |
dc.description.abstract | This study uses panel data to explore the financial impact of ESG governance on Taiwan's listed companies. According to the TESG ranking system in TEJ dataset, the ROA and ROE of 849 domestic listed companies from 2016 to 2022 are used as performance evaluations, and the ESG scores of TESG rating is combined with various financial variables to analyze the environmental, social, and governmental performance of enterprises.
Through model data analysis, it is observed that incorporating quantified sustainable scores reveals a significant positive correlation between companies' scores in E, S, and G dimensions and ROE. Furthermore, categorizing companies into leading, average, and lagging groups shows a positive correlation between ROE and the leading group, while the impact on ROA is unexpectedly negative. Additionally, Tobin's Q and dividend yield exhibit positive or negative effects based on industry differences. Thirdly, analyzing the differences in ESG performance and financial profitability across different SASB main industries reveals competitive pattern variations. For instance, ESG-leading groups in the refining and mining, technology and communication industries positively impact ROE, while a negative association is found in the transportation industry. Finally, when ROE and ROA are interdependent variables, a positive correlation is evident. However, when ROA is used as an independent variable, the coefficient is significantly lower. This suggests that companies may need to initially bear high asset costs to address sustainability issues, and blindly acquiring facilities may not uniformly translate into operational growth in shareholders' equity. Nevertheless, investors still prioritize the effective integration of sustainable governance strategies at different levels. | en |
dc.description.provenance | Submitted by admin ntu (admin@lib.ntu.edu.tw) on 2024-02-22T16:17:32Z No. of bitstreams: 0 | en |
dc.description.provenance | Made available in DSpace on 2024-02-22T16:17:33Z (GMT). No. of bitstreams: 0 | en |
dc.description.tableofcontents | 目次
致謝 i 中文摘要 ii Abstract iii 目 次 iv 第一章 緒論 1 第一節 研究背景與重要性 1 第二節 研究動機與目的 3 第二章 文獻探討與研究議題 6 第一節 ESG評級指標的資訊價值理論研究 6 第二節 ESG分數與產業營運關聯的理論研究 7 第三節 新冠疫情前ESG納入投資策略研究 8 第四節 新冠疫情中企業營運與ESG因子研究 10 第五節 研究議題 10 第三章 研究方法與資料 12 第一節 研究方法 12 第二節 資料樣本特性 16 第三節 變數與模型建構 19 第四節 敘述性檢定 21 第四章 實證結果與分析 26 第一節 資產報酬率實證分析 26 第二節 股東權益報酬率實證分析 31 第三節 跨產業個別因素分析 35 第五章 結論與建議 39 參考文獻 42 圖目次 圖 1、世界經濟論壇2021年七大全球風險 3 圖 2、Y1槓桿值和標準化殘差散佈圖 22 圖 3、Y1庫克距離散佈圖 22 圖 4、Y2槓桿值和標準化殘差散佈圖 23 圖 5、Y2庫克距離散佈圖 23 表目次 表 1、2016年至2022年TESG評級分佈 17 表 2、2016年至2022年TESG評級分佈長條圖 17 表 3、2016年至2022年評級變化折線圖 18 表 4、國內企業依SASB主產業分類圓餅圖 18 表 5、模型變數欄位定義 19 表 6、迴歸模型 20 表 7、Stata描述統計資料 24 表 8、相關係數矩陣 25 表 9、變異數膨脹因子(VIF)與允差(Tolerance) 25 表 10、Y1 = ROA,Model 1迴歸模型 27 表 11、Y1 = ROA,Model 2迴歸模型 28 表 12、Y1 = ROA,Model 3迴歸模型 29 | - |
dc.language.iso | zh_TW | - |
dc.title | 結合TESG評分與財務數據觀察臺灣上市公司表現 | zh_TW |
dc.title | Combining TESG Scores with Financial Data Observing the Performance of Taiwan Listed Companies | en |
dc.type | Thesis | - |
dc.date.schoolyear | 112-1 | - |
dc.description.degree | 碩士 | - |
dc.contributor.oralexamcommittee | 簡睿哲;孔令傑 | zh_TW |
dc.contributor.oralexamcommittee | Ruey-Jer Jean;Ling-Chieh Kung | en |
dc.subject.keyword | 縱橫數據,TESG評級,資產報酬率,股東權益報酬率,SASB產業分類,新冠疫情, | zh_TW |
dc.subject.keyword | Panel Data,TESG Rating,ROA,ROE,SICS,COVID-19, | en |
dc.relation.page | 46 | - |
dc.identifier.doi | 10.6342/NTU202400248 | - |
dc.rights.note | 同意授權(全球公開) | - |
dc.date.accepted | 2024-02-01 | - |
dc.contributor.author-college | 管理學院 | - |
dc.contributor.author-dept | 商學研究所 | - |
顯示於系所單位: | 商學研究所 |
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