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智能制造示范项目对中国企业绿色创新的影响:基于随机森林方法

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

作者信息

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

机构信息

School of Economics and Management, Zhejiang Sci-Tech University, 310018, China.

Yuanpei College, Shaoxing University, 312000, China.

出版信息

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

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.

摘要

利用2010年至2020年中国A股上市公司的数据和随机森林方法,本文研究了智能制造示范项目是否以及如何影响企业的绿色创新。主要结果如下。第一,智能制造示范项目有助于促进企业的绿色创新。此外,信息处理能力提升、创新效率提高、公众关注度增加和信号效应是提高企业绿色创新的主要渠道。最后,智能制造示范项目对资本密集型企业以及东部和西部地区企业的绿色创新具有显著的积极影响。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/bbb0/11002660/1a777b609f64/gr1.jpg

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