Artificial intelligence and corporate investment efficiency

This study examines the relationship between artificial intelligence (AI) adoption and corporate investment efficiency. Using an archival dataset of 28,911 firm-year observations from Chinese listed companies on the Shanghai and Shenzhen stock exchanges during 2011–2022, we find that AI adoption significantly improves corporate investment efficiency, with results remaining robust across multiple robustness tests and endogeneity checks. Mechanism analysis reveals that AI enhances investment efficiency by improving information transparency and strengthening internal control. Further moderating effect tests show that the positive impact of AI on investment efficiency is more pronounced in firms with executives possessing technical expertise, operating in highly competitive product markets, or situated in high-tech industries. This research contributes to the literature by elucidating how AI empowers corporate investment decision-making and provides practical implications for enterprises aiming to leverage AI technologies to optimize their investment performance.

Authors

Publication Details

Journal
International Review of Economics & Finance
Published
2025-10-28
DOI
https://doi.org/10.1016/j.iref.2025.104713
Citations
2
Primary Topic
Financial Distress and Bankruptcy Prediction
Type
article
Field-Weighted Citation Impact
7.82
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Artificial intelligence and corporate investment efficiency

Zhukun Lou, Can Li, Chengsheng Tong
2 citations
International Review of Economics & Finance
Financial Distress and Bankruptcy Prediction
7.82
article

Artificial intelligence and corporate investment efficiency

Zhukun Lou, Can Li, Chengsheng Tong
article en
2 citations

Abstract

This study examines the relationship between artificial intelligence (AI) adoption and corporate investment efficiency. Using an archival dataset of 28,911 firm-year observations from Chinese listed companies on the Shanghai and Shenzhen stock exchanges during 2011–2022, we find that AI adoption significantly improves corporate investment efficiency, with results remaining robust across multiple robustness tests and endogeneity checks. Mechanism analysis reveals that AI enhances investment efficiency by improving information transparency and strengthening internal control. Further moderating effect tests show that the positive impact of AI on investment efficiency is more pronounced in firms with executives possessing technical expertise, operating in highly competitive product markets, or situated in high-tech industries. This research contributes to the literature by elucidating how AI empowers corporate investment decision-making and provides practical implications for enterprises aiming to leverage AI technologies to optimize their investment performance.

International Review of Economics & FinanceVol. 104
Openalex Percentile: Top 3%
Financial Distress and Bankruptcy Prediction
7.82
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.

Artificial intelligence and corporate investment efficiency — Zhukun Lou, Can Li, et al. · International Review of Economics & Finance (2025) | TGRS Research Map | TGRS