Hongcheng Ling
Biographic Data
| ID | 10156513 |
|---|---|
| NAME | Hongcheng Ling |
| GIVEN NAMES | Hongcheng |
| FAMILY NAME | Ling |
| SIGNATURE | LING H |
| AFFILIATIONS | Jiangxi University of Finance and Economics |
| ORCID | 0000-0003-1465-0402 |
| VERIFIED | Yes |
| TOTAL WORKS | 2 |
| TOTAL CITATIONS | 0 |
| AUTHOR COUNT | 2 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2025 |
| LATEST PUBLICATION YEAR | 2026 |
| H-INDEX | 0 |
Digital technology innovation and corporate pollution emissions? Evidence from SBERT-based patent identification in China
As digital technology innovation emerges as a critical driver of green economic transformation, understanding its environmental implications becomes paramount. Leveraging matched data from the China Industrial Enterprise Database, the Corporate Pollution Emission Database, and the China Patent Database spanning 1998 to 2014, this study innovatively employs the Sentence-BERT (SBERT) language model to conduct semantic analysis of patent texts, achi…
The impact of digital inclusive finance on enterprise digital technology innovation: Empirical evidence from the Chinese manufacturing industry
Enterprise digital technology innovation plays a crucial role in China’s scientific and technological revolution as well as industrial transformation, with digital inclusive finance emerging as a significant catalyst for such innovation and providing robust support for the stable development of the real economy. This study innovatively employs the GLM3 large language model and the BERT model to identify digital technology patents. Based on data f…
No prominent works on this page.
The impact of digital inclusive finance on enterprise digital technology innovation: Empirical evidence from the Chinese manufacturing industry
Enterprise digital technology innovation plays a crucial role in China’s scientific and technological revolution as well as industrial transformation, with digital inclusive finance emerging as a significant catalyst for such innovation and providing robust support for the stable development of the real economy. This study innovatively employs the GLM3 large language model and the BERT model to identify digital technology patents. Based on data f…
Digital technology innovation and corporate pollution emissions? Evidence from SBERT-based patent identification in China
As digital technology innovation emerges as a critical driver of green economic transformation, understanding its environmental implications becomes paramount. Leveraging matched data from the China Industrial Enterprise Database, the Corporate Pollution Emission Database, and the China Patent Database spanning 1998 to 2014, this study innovatively employs the Sentence-BERT (SBERT) language model to conduct semantic analysis of patent texts, achi…
Business (1 works) · China (1 works) · Clean technology (1 works) · Digital transformation (1 works) · Endogeneity (1 works) · Energy, Environment, Economic Growth (1 works) · Environmental pollution (1 works) · Environmental Sustainability in Business (1 works) · FinTech, Crowdfunding, Digital Finance (1 works) · Industrial organization (1 works)