Alleviating corporate environmental pollution threats toward public health and safety: The role of smart city and artificial intelligence. (November 2021)

• Record Type: Journal Article
• Authors: Liu, Wei; Xu, Yingbo; Fan, Di; Li, Yi; Shao, Xue-Feng; Zheng, Jingjing
• Is Part Of: Safety science. Volume 143(2021)
• Publication Date: 2021-11
• Subjects: Smart city -- E-government -- Artificial intelligence -- Urban safety -- Corporate environmental pollution; Industrial accidents -- Periodicals; Accident Prevention -- Periodicals; Safety -- Periodicals; Travail -- Accidents -- Périodiques; 363.11
• DOI: 10.1016/j.ssci.2021.105433
• Languages: English
• ISSNs: 0925-7535

Abstract

Highlights: Smart city helps eliminate firm-government asymmetry. E-government construction affects firms' perceived environmental regulatory pressure. Firms in regions with better e-government construction discharge less environmental pollution. Artificial intelligence enhances public health and urban safety performance. 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.