Renewable and Sustainable Energy Reviews, Год журнала: 2024, Номер 208, С. 115053 - 115053
Опубликована: Ноя. 5, 2024
Язык: Английский
Renewable and Sustainable Energy Reviews, Год журнала: 2024, Номер 208, С. 115053 - 115053
Опубликована: Ноя. 5, 2024
Язык: Английский
Finance research letters, Год журнала: 2025, Номер unknown, С. 106800 - 106800
Опубликована: Янв. 1, 2025
Язык: Английский
Процитировано
0Springer proceedings in business and economics, Год журнала: 2025, Номер unknown, С. 285 - 292
Опубликована: Янв. 1, 2025
Язык: Английский
Процитировано
0Опубликована: Янв. 1, 2025
Язык: Английский
Процитировано
0Frontiers in Sustainable Food Systems, Год журнала: 2025, Номер 9
Опубликована: Апрель 9, 2025
Introduction Digital transformation (DT) refers to the process of leveraging digital technologies drive innovation in business models, thereby enabling enterprises create greater value and deliver innovative solutions for efficient agricultural production. Methods Using data from 211 listed companies China 2009 2022, this study investigates impact pathways through which DT influences financial performance (FP), employing a range methodologies. To enhance text mining accuracy, research incorporates natural language processing (NLP) large models (LLM). Results The findings indicate that within enterprises’ production, purchasing, sales departments significantly enhances FP. address potential endogeneity concerns, robustness checks were conducted using propensity score matching (PSM), Heckman two-stage model, least squares (2SLS) method. Mechanism analysis reveals improves FP three primary channels: reducing expenses, easing cost stickiness, promoting breakthrough innovation. However, positive effects exhibit heterogeneity. These are more pronounced non-state-owned enterprises, larger firms, located major grain-producing regions. Conclusion This validates necessity use technology improve age. By expanding measurement methods DT, provides valuable insights seeking leverage tools optimize production efficiency.
Язык: Английский
Процитировано
0Finance research letters, Год журнала: 2025, Номер unknown, С. 107418 - 107418
Опубликована: Апрель 1, 2025
Процитировано
0Sustainability, Год журнала: 2024, Номер 16(10), С. 4021 - 4021
Опубликована: Май 11, 2024
In the age of digital economy, evolution has emerged as a central focus in academic research. The achievement is paramount importance for augmenting their international investments. This research utilizes data from publicly listed manufacturing firms China 2010 to 2021 examine influence enterprise on outbound foreign findings reveal that significant positive impact outward investments enterprises and exhibits heterogeneity terms region, company size, industry type. Mechanism tests can be realized through four pathways: enhancing ESG performance, reducing debt financing costs (COD1) (representing proportion interest total long short-term debts), age, (COD2) (denoting financial expenses debts). context digitization, continues hold significance investments, contributing enrichment theoretical subject certain extent.
Язык: Английский
Процитировано
1Oeconomia Copernicana, Год журнала: 2024, Номер 15(4), С. 1465 - 1508
Опубликована: Ноя. 17, 2024
Research background: With the rapid development of digital technologies such as artificial intelligence (AI), big data, cloud computing, and blockchain, deep integration technology traditional industries offers unprecedented opportunities has become an important technological force driving enterprise environmental, social, governance (ESG) performance. Digital transformation increases complementarity between production operation processes enterprises highly skilled labour, specifically manifested in adaptive change human capital structure labour relations. Meanwhile, transforming enterprises’ also affects ESG Purpose article: This study investigates effects on performance its underlying mechanisms upgrading. First, it combines cutting-edge literature to analyse theoretical mechanism transformation, upgrading, performance, revealing internal factors implementation paths for improving Second, we use data 3928 listed Shanghai Shenzhen A-share markets from 2009–2022 impact perspective upgrading well by which through Third, provide policy recommendations optimising enhancing applications. Methods: Based Chinese 2009-2022, investigate The panel mediation effect model tests relationships Findings & value added: In theory, is beneficial structure, accelerating green innovation, management efficiency, thus Mechanism testing shows that enhances Heterogeneity analysis more significant are capital- technical-intensive, located eastern central regions. examines microeconomic consequences contributing a deeper understanding logic inherent optimisation their structure. It provides empirical evidence decision support developing industrial talent policies.
Язык: Английский
Процитировано
0Опубликована: Янв. 1, 2024
Язык: Английский
Процитировано
0Renewable and Sustainable Energy Reviews, Год журнала: 2024, Номер 208, С. 115053 - 115053
Опубликована: Ноя. 5, 2024
Язык: Английский
Процитировано
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