Can the application of artificial intelligence in criminal investigation reduce regional criminal offences? The moderating effect of digital financial development
Xin Li,
Zhihai Yu and
Xiaoran Sarah Zhang
Finance Research Letters, 2025, vol. 82, issue C
Abstract:
This study examines the impact of artificial intelligence applications in criminal investigations on regional criminal offences, based on data from 31 provinces in China between 2011 and 2022. Empirical results indicate that the application of artificial intelligence in criminal investigations can significantly reduce regional criminal offences. Furthermore, digital financial development plays a moderating role in the relationship between the application of artificial intelligence in criminal investigations and regional criminal offences, with this moderating effect exhibiting heterogeneity across different regions. The influence of artificial intelligence applications in criminal investigations on regional criminal offences also shows heterogeneity in various regions.
Keywords: Criminal investigation; Artificial intelligence application; Digital finance development; Criminal offences (search for similar items in EconPapers)
Date: 2025
References: Add references at CitEc
Citations:
Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S1544612325008220
Full text for ScienceDirect subscribers only
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:eee:finlet:v:82:y:2025:i:c:s1544612325008220
DOI: 10.1016/j.frl.2025.107563
Access Statistics for this article
Finance Research Letters is currently edited by R. Gençay
More articles in Finance Research Letters from Elsevier
Bibliographic data for series maintained by Catherine Liu ().