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Big data applications, technological empowerment, and corporate ESG performance

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  • Yang, Yifei
  • Lyu, Jingyi
  • Wei, Yajun

Abstract

Based on panel data of listed Chinese enterprises from 2011 to 2023, this study examines the associative effects among big data application, technological empowerment, and corporate ESG performance. The empirical results indicate: First, both big data application and technological empowerment significantly and positively drive corporate environmental, social, and governance (ESG) performance; second, technological empowerment plays a significant moderating role in the relationship between big data application and ESG performance, amplifying the positive effect of big data application on corporate ESG outcomes; third, heterogeneity tests reveal that the enhancement effect of technological empowerment on ESG performance differs significantly between high-tech and non-high-tech enterprises.

Suggested Citation

  • Yang, Yifei & Lyu, Jingyi & Wei, Yajun, 2025. "Big data applications, technological empowerment, and corporate ESG performance," Finance Research Letters, Elsevier, vol. 86(PB).
    • Handle: RePEc:eee:finlet:v:86:y:2025:i:pb:s1544612325016812
    DOI: 10.1016/j.frl.2025.108427
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    References listed on IDEAS

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    1. Archana Saxena & Rajesh Singh & Anita Gehlot & Shaik Vaseem Akram & Bhekisipho Twala & Aman Singh & Elisabeth Caro Montero & Neeraj Priyadarshi, 2022. "Technologies Empowered Environmental, Social, and Governance (ESG): An Industry 4.0 Landscape," Sustainability, MDPI, vol. 15(1), pages 1-17, December.
    2. Jun Dai & Qiumin Zhu, 2024. "ESG performance and green innovation in a digital transformation perspective," American Journal of Economics and Sociology, Wiley Blackwell, vol. 83(1), pages 263-282, January.
    3. Qi, Yudong & Han, Minmin & Zhang, Chao, 2024. "The Synergistic Effects of Digital Technology Application and ESG Performance on Corporate Performance," Finance Research Letters, Elsevier, vol. 61(C).
    4. Xianyun Wu & Longji Li & Dekuan Liu & Qian Li, 2024. "Technology empowerment: Digital transformation and enterprise ESG performance—Evidence from China’s manufacturing sector," PLOS ONE, Public Library of Science, vol. 19(4), pages 1-24, April.
    5. Yang, Bai & Huang, Jingfeng & Chen, Yinzhong, 2025. "The relationship between ESG ratings and digital technological innovation in manufacturing: Insights via dual machine learning models," Finance Research Letters, Elsevier, vol. 71(C).
    6. Yiying Wang & Derek D. Wang & Rongxuan Liu, 2025. "Impact of Digital Technology Adoption on the Similarity of Sustainability Reports," Sustainability, MDPI, vol. 17(8), pages 1-24, April.
    7. Myriam Ertz & Imen Latrous & Ahlem Dakhlaoui & Shouheng Sun, 2025. "The impact of Big Data Analytics on firm sustainable performance," Corporate Social Responsibility and Environmental Management, John Wiley & Sons, vol. 32(1), pages 1261-1278, January.
    8. Li, Yiping & Zheng, Lanxing & Xie, Chang & Fang, Jiming, 2024. "Big data development and enterprise ESG performance: Empirical evidence from China," International Review of Economics & Finance, Elsevier, vol. 93(PB), pages 742-755.
    9. Yiying Wang & Derek D. Wang, 2025. "The Dual Path of the Impact of Digital Technology Adoption on ESG Performance," Sustainability, MDPI, vol. 17(6), pages 1-24, March.
    10. Asif, Muhammad & Searcy, Cory & Castka, Pavel, 2023. "ESG and Industry 5.0: The role of technologies in enhancing ESG disclosure," Technological Forecasting and Social Change, Elsevier, vol. 195(C).
    11. Chen, Jia & Wang, Ning & Lin, Tongzhi & Liu, Baoliu & Hu, Jin, 2024. "Shock or empowerment? Artificial intelligence technology and corporate ESG performance," Economic Analysis and Policy, Elsevier, vol. 83(C), pages 1080-1096.
    12. Deli Wang & Ke Peng & Kaiye Tang & Yewei Wu, 2022. "Does Fintech Development Enhance Corporate ESG Performance? Evidence from an Emerging Market," Sustainability, MDPI, vol. 14(24), pages 1-21, December.
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    1. Xu, Yanhui & Jin, Yangyang & Deng, Fuhua & Feng, Qianbin, 2025. "Disruption of customers' political connections and suppliers' ESG performance: Evidence from China," Finance Research Letters, Elsevier, vol. 86(PF).

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