<scp>AI</scp> as a Sustainability Capability for Advancing <scp>SDG</scp> 7 and <scp>SDG</scp> 9: Evidence From Energy Technology Innovation in Chinese Listed Enterprises

ABSTRACT This study examines whether artificial intelligence (AI) functions as a sustainability capability that accelerates progress toward SDG 7 (affordable and clean energy) and SDG 9 (industry, innovation and infrastructure) in the context of China's low‐carbon transition. Using a panel of listed enterprises from 2007 to 2022, the findings show that firms with higher AI capability undertake significantly more energy technology innovation (ETI). This relationship remains robust under alternative model specifications and lag structures. Moreover, the effect of AI is stronger for firms that publicly commit to low‐carbon strategies and those located in resource‐intensive regions facing higher transition pressure. These results indicate that AI strengthens corporate capacity to interpret environmental complexity and convert transition pressures into innovation outcomes. The study contributes to sustainability governance research by demonstrating how digital intelligence can support enterprise‐level advancement of SDG‐aligned energy innovation in emerging economy settings.

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Publication Details

Journal
Sustainable Development
Published
2026-07-01
DOI
https://doi.org/10.1002/sd.71402
Primary Topic
Energy, Environment, Economic Growth
Type
article
Field-Weighted Citation Impact
0.00
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article

AI as a Sustainability Capability for Advancing SDG 7 and SDG 9: Evidence From Energy Technology Innovation in Chinese Listed Enterprises

Muhammad Sadiq, Fengsheng Chien, Jamshid Pardaev, Atif Aziz
Sustainable Development
Energy, Environment, Economic Growth
article

AI as a Sustainability Capability for Advancing SDG 7 and SDG 9: Evidence From Energy Technology Innovation in Chinese Listed Enterprises

Muhammad Sadiq, Fengsheng Chien, Jamshid Pardaev, Atif Aziz
article en

Abstract

ABSTRACT This study examines whether artificial intelligence (AI) functions as a sustainability capability that accelerates progress toward SDG 7 (affordable and clean energy) and SDG 9 (industry, innovation and infrastructure) in the context of China's low‐carbon transition. Using a panel of listed enterprises from 2007 to 2022, the findings show that firms with higher AI capability undertake significantly more energy technology innovation (ETI). This relationship remains robust under alternative model specifications and lag structures. Moreover, the effect of AI is stronger for firms that publicly commit to low‐carbon strategies and those located in resource‐intensive regions facing higher transition pressure. These results indicate that AI strengthens corporate capacity to interpret environmental complexity and convert transition pressures into innovation outcomes. The study contributes to sustainability governance research by demonstrating how digital intelligence can support enterprise‐level advancement of SDG‐aligned energy innovation in emerging economy settings.

Sustainable Development
Iqra University (PK), Vigo (Poland) (PL), Taylor's University (MY), Termez State University (UZ), City University of Macau (MO), Fuzhou University (CN)
Industry, innovation and infrastructure
Openalex Percentile: Top 3%
Energy, Environment, Economic Growth
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<scp>AI</scp> as a Sustainability Capability for Advancing <scp>SDG</scp> 7 and <scp>SDG</scp> 9: Evidence From Energy Technology Innovation in Chinese Listed Enterprises — Muhammad Sadiq, Fengsheng Chien, et al. · Sustainable Development (2026) | TGRS Research Map | TGRS