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Computing Ripples : How AI Computing Power Drives the Sustainable ESG Progress of Chinese Corporations

Author

Listed:
  • Yan CHEN

    (School of Economics and Management, Beijing University of Posts and Telecommunications, Beijing, China)

  • Jiayi LYU

    (School of Economics and Management, Beijing University of Posts and Telecommunications, Beijing, China)

  • Zixuan GAO

    (Department of International Development, King’s College London, London, England.)

  • Yanfeng LI

    (School of Finance and Trade, Liaoning University, Liaoning Province, China,)

Abstract

This paper explores the long-term ripple effects of Artificial Intelligence Computing Power (AICP) on corporate Environmental, Social, and Governance (ESG) performance. Quantitative analysis reveals a complex interplay between China's AICP and corporate ESG performance. Moreover, the integration of AI computing power and ESG has generated widespread and profound "ripple effects" on global sustainable transformation and economic development. By delving into the dynamic interaction mechanisms between the two, this study unveils the mysteries behind these ripple effects. Finally, the findings offer meaningful policy recommendations for the synergistic development of digital intelligence and sustainability.

Suggested Citation

  • Yan CHEN & Jiayi LYU & Zixuan GAO & Yanfeng LI, 2025. "Computing Ripples : How AI Computing Power Drives the Sustainable ESG Progress of Chinese Corporations," Journal for Economic Forecasting, Institute for Economic Forecasting, vol. 0(2), pages 104-119, July.
    • Handle: RePEc:rjr:romjef:v::y:2025:i:2:p:104-119
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    References listed on IDEAS

    as
    1. Chi Wei Su & Shuqi Lv & Meng Qin & Diego Norena-Chavez, 2024. "Uncertainty and Credit: The Chicken or the Egg Causality Dilemma," Emerging Markets Finance and Trade, Taylor & Francis Journals, vol. 60(11), pages 2560-2578, September.
    2. Fengxue Yin & Yanling Xiao & Rui Cao & Jianhua Zhang, 2023. "Impacts of ESG Disclosure on Corporate Carbon Performance: Empirical Evidence from Listed Companies in Heavy Pollution Industries," Sustainability, MDPI, vol. 15(21), pages 1-19, October.
    3. Michael Hilb, 2020. "Toward artificial governance? The role of artificial intelligence in shaping the future of corporate governance," Journal of Management & Governance, Springer;Accademia Italiana di Economia Aziendale (AIDEA), vol. 24(4), pages 851-870, December.
    4. Donald W. K. Andrews, 2003. "Tests for Parameter Instability and Structural Change with Unknown Change Point: A Corrigendum," Econometrica, Econometric Society, vol. 71(1), pages 395-397, January.
    5. Pesaran, M. Hashem & Timmermann, Allan, 2005. "Small sample properties of forecasts from autoregressive models under structural breaks," Journal of Econometrics, Elsevier, vol. 129(1-2), pages 183-217.
    6. Su, Chi-Wei & Qin, Meng & Tao, Ran & Shao, Xue-Feng & Albu, Lucian Liviu & Umar, Muhammad, 2020. "Can Bitcoin hedge the risks of geopolitical events?," Technological Forecasting and Social Change, Elsevier, vol. 159(C).
    7. Alexandre Clément & Élisabeth Robinot & Léo Trespeuch, 2022. "Improving ESG Scores with Sustainability Concepts," Sustainability, MDPI, vol. 14(20), pages 1-15, October.
    8. ., 2024. "State Technology-Based Economic Development (TBED) strategies," Chapters, in: Growth Policies for the High-Tech Economy, chapter 11, pages 206-235, Edward Elgar Publishing.
    9. Florian Berg & Julian F Kölbel & Roberto Rigobon, 2022. "Aggregate Confusion: The Divergence of ESG Ratings [Corporate social responsibility and firm risk: theory and empirical evidence]," Review of Finance, European Finance Association, vol. 26(6), pages 1315-1344.
    10. Abdulaziz Abdulmohsen Alfalih, 2023. "ESG disclosure practices and financial performance: a general and sector analysis of SP-500 non-financial companies and the moderating effect of economic conditions," Journal of Sustainable Finance & Investment, Taylor & Francis Journals, vol. 13(4), pages 1506-1533, October.
    11. Su, Chi-Wei & Yang, Shengyao & Dumitrescu Peculea, Adelina & Ioana Biţoiu, Teodora & Qin, Meng, 2024. "Energy imports in turbulent eras: Evidence from China," Energy, Elsevier, vol. 306(C).
    12. Andrews, Donald W K, 1993. "Tests for Parameter Instability and Structural Change with Unknown Change Point," Econometrica, Econometric Society, vol. 61(4), pages 821-856, July.
    13. Cao, Fangzhi & Su, Chi-Wei & Qin, Meng & Moldovan, Nicoleta-Claudia, 2024. "The investment of renewable energy: Is green bond a safe-haven to hedge U.S. monetary policy uncertainty?," Energy, Elsevier, vol. 307(C).
    14. Qin, Meng & Su, Ai-Hsuan & Li, Ruifeng & Su, Chi-Wei, 2024. "Speculation, climate or pandemic: Who drives the Chinese herbal medicine bubbles?," China Economic Review, Elsevier, vol. 87(C).
    15. Wang, Jiqian & Li, Liang, 2023. "Climate risk and Chinese stock volatility forecasting: Evidence from ESG index," Finance Research Letters, Elsevier, vol. 55(PA).
    16. Elena Escrig-Olmedo & María Ángeles Fernández-Izquierdo & Idoya Ferrero-Ferrero & Juana María Rivera-Lirio & María Jesús Muñoz-Torres, 2019. "Rating the Raters: Evaluating how ESG Rating Agencies Integrate Sustainability Principles," Sustainability, MDPI, vol. 11(3), pages 1-16, February.
    17. Balcilar, Mehmet & Ozdemir, Zeynel Abidin & Arslanturk, Yalcin, 2010. "Economic growth and energy consumption causal nexus viewed through a bootstrap rolling window," Energy Economics, Elsevier, vol. 32(6), pages 1398-1410, November.
    18. Zhou, Hailing & Liu, Ji, 2023. "Digitalization of the economy and resource efficiency for meeting the ESG goals," Resources Policy, Elsevier, vol. 86(PA).
    19. Chi Wei Su & Xiaofeng Liu & Meng Qin & Muhammad Umar, 2024. "Is the Uncertainty Economic Policy an Impediment or an Impetus to Technological Innovation?," Emerging Markets Finance and Trade, Taylor & Francis Journals, vol. 60(11), pages 2579-2593, September.
    20. Guo, Yangli & Li, Pan & Wu, Hanlin, 2023. "Jumps in the Chinese crude oil futures volatility forecasting: New evidence," Energy Economics, Elsevier, vol. 126(C).
    21. Wei Su, Chi & Yue Song, Xin & Qin, Meng & Lobonţ, Oana-Ramona & Umar, Muhammad, 2024. "Optimistic or pessimistic: How do investors impact the green bond market?," The North American Journal of Economics and Finance, Elsevier, vol. 74(C).
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    Keywords

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    JEL classification:

    • C32 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes; State Space Models
    • Q56 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics - - - Environment and Development; Environment and Trade; Sustainability; Environmental Accounts and Accounting; Environmental Equity; Population Growth
    • O33 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Technological Change: Choices and Consequences; Diffusion Processes
    • M14 - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics - - Business Administration - - - Corporate Culture; Diversity; Social Responsibility

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