03259ntm a22005297i 4500 000719478 CZ-PrVSE 20250301181534.0 m d cr n|||||||||| 250301s2024 xr fsbm 000 0 eng d NEZPRACOVANÝ IMPORT ABA006 cze ABA006 ABA006 rda Chen, Yiyi ISIS:143278 dis Regression Analysis of ESG Ratings on Company Valuation and Financial Metrics eng Regression Analysis of ESG Ratings on Company Valuation and Financial Metrics / Yiyi Chen 2024 ?? stran : digital, PDF soubor Vedoucí práce: Karel Helman Diplomová práce (Ing.)—Vysoká škola ekonomická v Praze. Fakulta informatiky a statistiky, 2025 Obsahuje bibliografii Textový (vysokoškolská kvalifikační práce) Rok obhajoby 2025 This thesis investigates the relationship between Environmental, Social, and Governance (ESG) component scores and company valuation and financial performance, focusing on China's A-share market with 1,443 companies observed over the period from 2012 to 2023, resulting in 17,316 total combinations of companies and years. The study employs various panel regression models, including pooled and fixed effects methodologies, to examine the paired and partial relationships between ESG components—environmental (E), social (S), and governance (G)—and valuation and performance indicators such as Tobin’s Q and return on assets (ROA). The findings indicate a generally negative paired and partial relationship between environmental scores and Tobin's Q and ROA. Conversely, a positive paired and partial relationship is indicated between social and governance scores and Tobin's Q and ROA. These results partially support the research hypotheses. Additionally, subgroup analyses based on industry and regional characteristics suggest that these factors may cause the relationship between ESG scores and company valuation and performance to vary. Způsob přístupu: Internet data analysis and modeling [obor dipl. práce] diplomové práce fd132022 czenas master's theses eczenas ESG (Environmental, Social, Governance) Company Valuation Panel Regression Models Pooled Effects Fixed Effects Helman, Karel xx0260953 ths Malec, Lukáš jx20110720024 opn Vysoká škola ekonomická v Praze. Fakulta informatiky a statistiky kn20010709399 dgg https://insis.vse.cz/zp/86398/podrobnosti VŠKP v InSIS https://insis.vse.cz/zp/86398 Hlavní práce https://insis.vse.cz/zp/86398/posudek/vedouci Hodnocení vedoucího https://insis.vse.cz/zp/86398/posudek/oponent/84611 Oponentura https://insis.vse.cz/zp/86398/priloha/30097 Přiloha k práci https://insis.vse.cz/zp/86398/podrobnosti dc:identifier NEPOSILAT VSKP vse86398 250204 86398