| Title |
How Information Technology Investment Affects Green Innovation in Chinese Heavy Polluting Enterprises |
| ID_Doc |
30234 |
| Authors |
Chen, XD; Tan, YT; Lin, MX; Zhang, GY; Ma, WC; Yang, SW; Peng, YL |
| Title |
How Information Technology Investment Affects Green Innovation in Chinese Heavy Polluting Enterprises |
| Year |
2021 |
| Published |
|
| DOI |
10.3389/fenrg.2021.719052 |
| Abstract |
Promoting green innovation is an effective way to solve the increasingly serious environmental pollution problems in emerging economies. Information technology is constantly changing the operation mode of enterprises; however, whether information technology investment helps promote enterprises' green innovation is still an important issue to be studied. According to resource-based and knowledge integration theory, this study constructs data from Chinese A-share listed heavy polluting enterprises during 2010-2018, adopting the panel data Tobit model to investigate the nexus between information technology investment and green innovation. Our empirical results demonstrate that the amount of information technology investment is positively correlated with the emerging levels of green patents in Chinese heavy polluting enterprises, and this positive correlation only significantly exists in state-owned enterprises (SOEs) and enterprises with a strong sense of environmental responsibility and strict environmental regulation. The findings of this study help understand in depth how information technology investment affects enterprises' green innovation and its boundaries, which also have important policy implications for government departments and enterprises to make better use of information technology to deal with the challenge of environmental pollution. |
| Author Keywords |
information technology investment; green innovation; resource-based; knowledge integration; heavy polluting enterprises |
| Index Keywords |
Index Keywords |
| Document Type |
Other |
| Open Access |
Open Access |
| Source |
Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI) |
| EID |
WOS:000684983600002 |
| WoS Category |
Energy & Fuels |
| Research Area |
Energy & Fuels |
| PDF |
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