所属栏目:新金融/金融科技

How Does Artificial Intelligence Affect Total Factor Productivity of Manufacturing Firms? Evidence from the Operational Efficiency Mechanism
认领作者 认领作者管理权限
发布日期:2026年05月31日 上次修订日期:2026年05月31日

摘要

This paper examines how artificial intelligence (AI) adoption influences the total factor productivity (TFP) of Chinese A-share manufacturing firms from 2010 to 2023. Results show that AI significantly raises TFP, robust across multiple specifications and instrumental variable tests. AI also boosts operational efficiency by accelerating accounts receivable and inventory turnover, revealing a “technology–operation–productivity” pathway. The positive effect is stronger in regions with better digital infrastructure and in firms with stronger governance. The findings provide fresh evidence on AI’s productivity effects and offer policy implications for intelligent transformation and high-quality manufacturing development.
展开

Dongwu Lin; Xiaoyun Ma How Does Artificial Intelligence Affect Total Factor Productivity of Manufacturing Firms? Evidence from the Operational Efficiency Mechanism (2026年05月31日) https://www.cfrn.com.cn/lw/16710.html

选择要认领的作者1
身份验证1
确认
取消