The impact of smart manufacturing demonstration projects on green innovation of Chinese firms: Based on random forest methods

Jun Yang; Weihao Wang; Chunheng Fu; Xiaohui Xu; Qiuzhen Li

doi:10.1016/j.heliyon.2024.e28925

The impact of smart manufacturing demonstration projects on green innovation of Chinese firms: Based on random forest methods

Heliyon. 2024 Mar 30;10(7):e28925. doi: 10.1016/j.heliyon.2024.e28925. eCollection 2024 Apr 15.

Authors

Jun Yang¹, Weihao Wang¹, Chunheng Fu¹, Xiaohui Xu¹, Qiuzhen Li²

Affiliations

¹ School of Economics and Management, Zhejiang Sci-Tech University, 310018, China.
² Yuanpei College, Shaoxing University, 312000, China.

Abstract

Employing the data of Chinese A-share listed firms from 2010 to 2020 and random forest approaches, this paper investigates whether and how smart manufacturing demonstration projects influence green innovation of firms. The main results are as follows. First, smart manufacturing demonstration projects contribute to promoting firms' green innovation. Additionally, information processing capability improvement, innovation efficiency enhancement, public attention increasement, and signal effect are the main channels that improve firms' green innovation. Finally, the positive effect of smart manufacturing demonstration projects on firms' green innovation is pronounced for capital-intensive firms, and firms in western and eastern regions.

Keywords: Green innovation; Information processing capability; Random forest method; Smart manufacturing demonstration projects.