Artificial Intelligence and Enterprise Green Innovation: Intrinsic Mechanisms and Heterogeneous Effects

Enterprise green innovation (EGI) has become an essential measure for manufacturing enterprises to achieve sustainable development, and the application of artificial intelligence (AI) may become a new driving solution. This study empirically analyzes the impact and internal transmission mechanism of AI on EGI of Chinese manufacturing listed enterprises from 2010 to 2022. Research has found that (1) AI significantly impacts EGI, and this basic conclusion has passed various endogeneity and robustness tests. (2) The mechanism test results indicate that enterprise technological capability, innovation investment, and executives’ environmental awareness significantly mediate between AI and EGI. (3) Heterogeneity analysis shows that the significant positive impact of AI on EGI is only established in enterprises with overseas backgrounds, large-scale, highly competitive regional markets, and low-carbon pilot cities. The above conclusions have contributed essentially to the literature on EGI and AI.

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Publication Details

Journal
Sustainability
Published
2024-10-24
DOI
https://doi.org/10.3390/su16219246
Citations
7
Primary Topic
Environmental Sustainability in Business
Type
article
Field-Weighted Citation Impact
3.07

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article

Artificial Intelligence and Enterprise Green Innovation: Intrinsic Mechanisms and Heterogeneous Effects

Yang Fang-fang, Dongwei Li, Jing Xiao
7 citations
Sustainability
Environmental Sustainability in Business
3.07
article

Artificial Intelligence and Enterprise Green Innovation: Intrinsic Mechanisms and Heterogeneous Effects

Yang Fang-fang, Dongwei Li, Jing Xiao
article en
7 citations

Abstract

Enterprise green innovation (EGI) has become an essential measure for manufacturing enterprises to achieve sustainable development, and the application of artificial intelligence (AI) may become a new driving solution. This study empirically analyzes the impact and internal transmission mechanism of AI on EGI of Chinese manufacturing listed enterprises from 2010 to 2022. Research has found that (1) AI significantly impacts EGI, and this basic conclusion has passed various endogeneity and robustness tests. (2) The mechanism test results indicate that enterprise technological capability, innovation investment, and executives’ environmental awareness significantly mediate between AI and EGI. (3) Heterogeneity analysis shows that the significant positive impact of AI on EGI is only established in enterprises with overseas backgrounds, large-scale, highly competitive regional markets, and low-carbon pilot cities. The above conclusions have contributed essentially to the literature on EGI and AI.

SustainabilityVol. 16(21)
Guizhou Minzu University (CN), South China University of Technology (CN)
National Natural Science Foundation of China, Guizhou Minzu University
Industry, innovation and infrastructure
Openalex Percentile: Top 8%
Environmental Sustainability in Business
3.07
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Artificial Intelligence and Enterprise Green Innovation: Intrinsic Mechanisms and Heterogeneous Effects — Yang Fang-fang, Dongwei Li, et al. · Sustainability (2024) | TGRS Research Map | TGRS