| Title |
Alleviating corporate environmental pollution threats toward public health and safety: The role of smart city and artificial intelligence |
| ID_Doc |
36779 |
| Authors |
Liu, W; Xu, YB; Fan, D; Li, Y; Shao, XF; Zheng, JJ |
| Title |
Alleviating corporate environmental pollution threats toward public health and safety: The role of smart city and artificial intelligence |
| Year |
2021 |
| Published |
|
| DOI |
10.1016/j.ssci.2021.105433 |
| Abstract |
How does smart city via e-government construction affect firms' perceived environmental regulatory pressure to prevent their environmental pollution behavior? Building on the information mechanism, this study addresses this research question by using a sample of 16,347 Chinese industrial firms across 322 cities. Our findings reveal that firms in regions with better e-government construction discharge less environmental pollution, and this negative relationship is stronger for firms with a higher level of artificial intelligence related information processing capabilities. This study extends the literature on the impact of institutional characteristics on pressure perceptions of firms by shedding light on the role of smart city government information infrastructure in eliminating firm-government asymmetry, and clarifying artificial intelligence as the boundary condition of the relationship between e-government construction and corporate environmental pollution which, in turn, enhance public health and safety performance among urban areas. |
| Author Keywords |
Smart city; E-government; Artificial intelligence; Urban safety; Corporate environmental pollution |
| 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:000690367600023 |
| WoS Category |
Engineering, Industrial; Operations Research & Management Science |
| Research Area |
Engineering; Operations Research & Management Science |
| PDF |
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