| Title |
Can enterprise green technology innovation performance achieve "corner overtaking" by using artificial intelligence?-Evidence from Chinese manufacturing enterprises |
| ID_Doc |
30658 |
| Authors |
Tian, HN; Zhao, LY; Li, YF; Wang, W |
| Title |
Can enterprise green technology innovation performance achieve "corner overtaking" by using artificial intelligence?-Evidence from Chinese manufacturing enterprises |
| Year |
2023 |
| Published |
|
| DOI |
10.1016/j.techfore.2023.122732 |
| Abstract |
To examine the impact of the application of artificial intelligence on the green technology innovation performance of enterprises, a multi-period difference-in-differences model was constructed. Panel data of Chinese listed manufacturing companies over the period of 2014-2020 were used. According to Stimulus-OrganismResponse theory, the impact of artificial intelligence on the green technology innovation performance of enterprises is not direct. The mediating effects of basic knowledge coupling, complementary knowledge coupling, and extended knowledge coupling are verified through empirical tests. The results show that artificial intelligence significantly positively impacts the innovation performance of enterprises in relation to the development of green technology and its decomposition variables (efficiency and progress of green technology). The mediation effect indicates that artificial intelligence mainly promotes the green technology innovation performance of enterprises by affecting their knowledge coupling. |
| Author Keywords |
Artificial intelligence; Green technology innovation performance; Knowledge coupling; Multiple difference-in-difference; Stimulus-Organism-Response theory |
| Index Keywords |
Index Keywords |
| Document Type |
Other |
| Open Access |
Open Access |
| Source |
Social Science Citation Index (SSCI) |
| EID |
WOS:001045842600001 |
| WoS Category |
Business; Regional & Urban Planning |
| Research Area |
Business & Economics; Public Administration |
| PDF |
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