Work

Using nighttime light data to assess the impact of AI pilot cities on government overtime in China

Year: 2026

Type: article

Abstract: In an era of rapid urbanization and digital transformation, nighttime light data has emerged as a powerful proxy for measuring after-hours work. This study investigates whether the artificial intelligence (AI) pilot cities initiative, launched by the Ministry of Science and Technology in 2019, reduces overtime in Chinese government offices. Drawing on satellite-derived nighttime light data from more than 300 cities, it identifies changes in after-hours work behavior among government employees. Leveraging a quasi-natural experiment and a staggered difference-in-differences model, the findings show that AI implementation in pilot cities led to a 7.82% decline in nighttime overtime, which translates to approximately eight fewer overtime days per year. These estimates remain robust after accounting for potential alternative explanations including pandemic-induced remote work, other policy confounds, city heterogeneity, and selection bias. Overall, this research highlights the potential for AI initiatives to enhance efficiency in urban governance and reduce excessive work hours in public administration.

Source: Urban Studies

DOI: 10.1177/00420980261424774

Author: Jianxian Wu

Institution: Shenzhen University

Language: English

Topic: Impact of Light on Environment and Health

Subfield: Global and Planetary Change

Field: Environmental Science

Domain: Physical Sciences

SDGs: Sustainable cities and communities, Industry, innovation and infrastructure, Decent work and economic growth

Open Access status: bronze

Funders: China Postdoctoral Science Foundation, National Office for Philosophy and Social Sciences, National Social Science Fund of China