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https://elib.bsu.by/handle/123456789/339949Полная запись метаданных
| Поле DC | Значение | Язык |
|---|---|---|
| dc.contributor.author | Chemykhin, V. K. | |
| dc.date.accessioned | 2026-01-13T10:14:41Z | - |
| dc.date.available | 2026-01-13T10:14:41Z | - |
| dc.date.issued | 2025 | |
| dc.identifier.citation | Computer Data Analysis and Modeling: Stochastics and Data Science : Proc. of the XIV Intern. Conf., Minsk, Sept. 24–27, 2025 / Belarusian State Univ. ; eds.: Yu. Kharin (ed.-in-chief) [et al.]. – Minsk : BSU, 2025. – Pp. 63-68. | |
| dc.identifier.isbn | 978-985-881-830-2 | |
| dc.identifier.uri | https://elib.bsu.by/handle/123456789/339949 | - |
| dc.description.abstract | This study investigates the relationship between ESG performance and innovative activity in Russian companies. Using data from the RAEX ranking and the Rospatent database (2020–2024), an empirical analysis is conducted via a Bayesian HURDLE model. The results indicate that companies with higher ESG ratings demonstrate greater innovative activity, reflected in the number of registered patents. The analysis also reveals the influence of control variables, such as company size and industry affiliation, on this relationship | |
| dc.language.iso | en | |
| dc.publisher | Minsk : BSU | |
| dc.rights | info:eu-repo/semantics/restrictedAccess | |
| dc.subject | ЭБ БГУ::ОБЩЕСТВЕННЫЕ НАУКИ::Экономика и экономические науки | |
| dc.subject | ЭБ БГУ::ЕСТЕСТВЕННЫЕ И ТОЧНЫЕ НАУКИ::Математика | |
| dc.title | Exploring the interconnection between innovative initiatives and ESG outcomes in Russian firms | |
| dc.type | conference paper | |
| Располагается в коллекциях: | 2025. Computer Data Analysis and Modeling: Stochastics and Data Science | |
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