Intelligent Brains, Green Gains: How Artificial Intelligence Adoption Shapes Green Economic Efficiency?

This study examines how artificial intelligence (AI) adoption affects urban green economic efficiency (GEE) through a new institutional lens. Using a staggered difference-in-differences framework on 284 Chinese prefecture-level cities from 2013 to 2023, we treat China's national new generation AI innovative development pilot zones policy as a quasi-natural experiment. Our results reveal that AI adoption significantly increases GEE by 6.6%. This improvement is driven by optimized resource allocation, green technology innovation, and industrial structure upgrading. Also, the benefits are most pronounced in cities with strong talent introduction, high marketization, and lower public environmental concern. These insights advance the institutional discourse on AI-mediated economic sustainability.

Authors

Publication Details

Journal
The Singapore Economic Review
Published
2026-11-06
DOI
https://doi.org/10.1142/s0217590826400199
Primary Topic
Energy, Environment, Economic Growth
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
NOV
article

Intelligent Brains, Green Gains: How Artificial Intelligence Adoption Shapes Green Economic Efficiency?

Mingfang Dong, 陈思思, Lingli Qing, Qing Yang et al.
9 links
The Singapore Economic Review
Energy, Environment, Economic Growth
article

Intelligent Brains, Green Gains: How Artificial Intelligence Adoption Shapes Green Economic Efficiency?

Mingfang Dong, 陈思思, Lingli Qing, Qing Yang, Yuhan Gu
article en

Abstract

This study examines how artificial intelligence (AI) adoption affects urban green economic efficiency (GEE) through a new institutional lens. Using a staggered difference-in-differences framework on 284 Chinese prefecture-level cities from 2013 to 2023, we treat China's national new generation AI innovative development pilot zones policy as a quasi-natural experiment. Our results reveal that AI adoption significantly increases GEE by 6.6%. This improvement is driven by optimized resource allocation, green technology innovation, and industrial structure upgrading. Also, the benefits are most pronounced in cities with strong talent introduction, high marketization, and lower public environmental concern. These insights advance the institutional discourse on AI-mediated economic sustainability.

The Singapore Economic Review
Climate action, Sustainable cities and communities, Industry, innovation and infrastructure
Openalex Percentile: Top 11%
Energy, Environment, Economic Growth
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.

Laika access coming soon
Intelligent Brains, Green Gains: How Artificial Intelligence Adoption Shapes Green Economic Efficiency? — Mingfang Dong, 陈思思, et al. · The Singapore Economic Review (2026) | TGRS Research Map | TGRS