Unintended Consequences of Digital Infrastructure Development: The Impact on Crime Rates in China

The construction of digital infrastructure serves as a crucial lever for advancing national digital transformation and modernizing social governance. Using the “Broadband China” policy as a quasi-natural experiment, this paper constructs a multi-period Difference-in-Differences (DID) model. Based on panel data at the city level in China, the study systematically evaluates the impact of digital infrastructure development on crime rates and its underlying mechanisms. The study finds that: First, the expansion of digital infrastructure significantly increases crime rates, and this result remains robust across various model specifications. Second, heterogeneity analysis reveals that the effect is more pronounced in areas with high economic activity density and relatively weaker social governance capacity, indicating that the spillover effects of digital infrastructure are asymmetric across different social structures. Third, further analysis indicates that digital infrastructure, by optimizing employment structures and alleviating income disparities, can exert a corrective effect on crime rates under certain conditions. The study uncovers new challenges for social governance in the digital era, emphasizing the urgent need to strengthen risk identification and collaborative governance for public security alongside the promotion of digital infrastructure. These findings offer practical insights and policy implications for achieving the dual goals of high-quality development and social stability.

Authors

Institutions

Publication Details

Journal
Social Science Computer Review
Published
2025-08-15
DOI
https://doi.org/10.1177/08944393251365276
Primary Topic
Crime Patterns and Interventions
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Unintended Consequences of Digital Infrastructure Development: The Impact on Crime Rates in China

Mengran Chai, Lin Wu, Yu Yu
Social Science Computer Review
Crime Patterns and Interventions
article

Unintended Consequences of Digital Infrastructure Development: The Impact on Crime Rates in China

Mengran Chai, Lin Wu, Yu Yu
article en

Abstract

The construction of digital infrastructure serves as a crucial lever for advancing national digital transformation and modernizing social governance. Using the “Broadband China” policy as a quasi-natural experiment, this paper constructs a multi-period Difference-in-Differences (DID) model. Based on panel data at the city level in China, the study systematically evaluates the impact of digital infrastructure development on crime rates and its underlying mechanisms. The study finds that: First, the expansion of digital infrastructure significantly increases crime rates, and this result remains robust across various model specifications. Second, heterogeneity analysis reveals that the effect is more pronounced in areas with high economic activity density and relatively weaker social governance capacity, indicating that the spillover effects of digital infrastructure are asymmetric across different social structures. Third, further analysis indicates that digital infrastructure, by optimizing employment structures and alleviating income disparities, can exert a corrective effect on crime rates under certain conditions. The study uncovers new challenges for social governance in the digital era, emphasizing the urgent need to strengthen risk identification and collaborative governance for public security alongside the promotion of digital infrastructure. These findings offer practical insights and policy implications for achieving the dual goals of high-quality development and social stability.

Social Science Computer Review
Wuhan University (CN)
Openalex Percentile: Top 72%
Crime Patterns and Interventions
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.