The Effect and Mechanism of Artificial Intelligence Applications on Enterprise Market Power in China

This study employs the establishment of China's national new-generation AI innovation pilot zones as a quasi-natural experiment. Using data from A-share listed companies between 2006 and 2024, it conducts a systematic examination using a staggered difference-in-differences model. Our estimates indicate a robust positive causal effect of AI pilot zones on firm markups. Mechanism tests suggest that the policy works primarily through talent agglomeration and innovation incentives. Heterogeneity analysis indicates that the policy has a more pronounced impact on manufacturing, private enterprises, high-tech firms, and companies in eastern regions. Case studies further highlight three firm-level AI application pathways: technology-driven adoption, manufacturing-service integration, and data-driven product innovation. Based on these findings, the study recommends strengthening regional coordination to bridge the digital divide, guiding enterprises to adopt tailored strategies to explore AI integration pathways suited to their specific contexts, and refining the competition policy framework to balance innovation incentives with market fairness.

Authors

Institutions

Publication Details

Journal
The Singapore Economic Review
Published
2026-09-16
DOI
https://doi.org/10.1142/s0217590826500396
Primary Topic
Firm Innovation and Growth
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
article

The Effect and Mechanism of Artificial Intelligence Applications on Enterprise Market Power in China

Zhikai Wang, Peiwen Li, Jiarong Li, Xueping Wang
The Singapore Economic Review
Firm Innovation and Growth
article

The Effect and Mechanism of Artificial Intelligence Applications on Enterprise Market Power in China

Zhikai Wang, Peiwen Li, Jiarong Li, Xueping Wang
article en

Abstract

This study employs the establishment of China's national new-generation AI innovation pilot zones as a quasi-natural experiment. Using data from A-share listed companies between 2006 and 2024, it conducts a systematic examination using a staggered difference-in-differences model. Our estimates indicate a robust positive causal effect of AI pilot zones on firm markups. Mechanism tests suggest that the policy works primarily through talent agglomeration and innovation incentives. Heterogeneity analysis indicates that the policy has a more pronounced impact on manufacturing, private enterprises, high-tech firms, and companies in eastern regions. Case studies further highlight three firm-level AI application pathways: technology-driven adoption, manufacturing-service integration, and data-driven product innovation. Based on these findings, the study recommends strengthening regional coordination to bridge the digital divide, guiding enterprises to adopt tailored strategies to explore AI integration pathways suited to their specific contexts, and refining the competition policy framework to balance innovation incentives with market fairness.

The Singapore Economic Review
Twitter (United States) (US)
Industry, innovation and infrastructure
Openalex Percentile: Top 5%
Firm Innovation and 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.

The Effect and Mechanism of Artificial Intelligence Applications on Enterprise Market Power in China — Zhikai Wang, Peiwen Li, et al. · The Singapore Economic Review (2026) | TGRS Research Map | TGRS