Artificial Intelligence and New Quality Productive Forces

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Authors: Haowen Tian, Hui Huang, Wei Guan, Donghao Zhu
Cited by: 2
References: 60

Abstract

ABSTRACT This paper empirically examines the effect of artificial intelligence (AI) on the new quality productive forces (NQPF) of Chinese listed companies from 2010 to 2024. The results show that AI is associated with a statistically significant improvement in firms' NQPF. Mechanism analysis indicates that this effect is contingent on the alleviation of financing constraints and the enhancement of green innovation capacity. Heterogeneity analysis further suggests that the association between AI and NQPF is stronger among state‐owned firms, high‐tech firms and firms with lower pollution intensity. Overall, this study contributes to the literature on firm efficiency and NQPF and provides evidence that supports firms' efforts to advance and apply AI technologies.

Fields of Study & Subjects

Firm Innovation and Growth Innovation Policy and R&D Energy Environment Economic Growth

Publication details

Journal / source
International Journal of Finance & Economics
Publisher
Wiley
Publication date
18 January 2026
Language
EN