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AI and ESG - New Quality Productivity in Digital Economy

Author

Listed:
  • Da HUO

    (International Business School, Beijing Foreign Studies University,No. 19, North Road, West Ring 3, Haidian District, Beijing, China, 100089)

  • Tianying SUN

    (School of International Trade and Economics, Central University of Finance and Economics, No.39, South College Road, Haidian District, Beijing, China, 100081)

  • Wenjia GU

    (School of International Trade and Economics, Central University of Finance and Economics, No.39, South College Road, Haidian District, Beijing, China, 100081)

  • Aidi TANG

    (School of International Trade and Economics, Central University of Finance and Economics, No.39, South College Road, Haidian District, Beijing, China, 100081)

Abstract

This research examines AI adoption’s impact on corporate ESG performance using Lasso-based empirical analysis and data science methodologies. Results confirm AI significantly enhances ESG performance, albeit with regional and sub-dimensional variations. AI technology based on 3D Unmanned Aerial Vehicle (UAV) programming is used to optimize pro-ESG development via single- and multi-objective approaches. Path simulations using Ant Colony Optimization (ACO), A*(Astar), and Rapidly-Exploring Random Tree (RRT) algorithms reveal regionally adaptive ESG patterns suited to hub-specific contexts, showing governance, efficiency, and demonstration effects. This study explores AI-driven sustainability, demonstrates interdisciplinary applications of 3D data and optimization technology in social computing science.

Suggested Citation

  • Da HUO & Tianying SUN & Wenjia GU & Aidi TANG, 2025. "AI and ESG - New Quality Productivity in Digital Economy," Journal for Economic Forecasting, Institute for Economic Forecasting, vol. 0(2), pages 5-23, July.
  • Handle: RePEc:rjr:romjef:v::y:2025:i:2:p:5-23
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    1. Romer, Paul M, 1986. "Increasing Returns and Long-run Growth," Journal of Political Economy, University of Chicago Press, vol. 94(5), pages 1002-1037, October.
    2. Victor Chernozhukov & Denis Chetverikov & Mert Demirer & Esther Duflo & Christian Hansen & Whitney Newey & James Robins, 2018. "Double/debiased machine learning for treatment and structural parameters," Econometrics Journal, Royal Economic Society, vol. 21(1), pages 1-68, February.
    3. Shang, Yunfeng & Yang, Qin & Pu, Yuanjie & Taghizadeh-Hesary, Farhad, 2024. "Employing artificial intelligence and enhancing resource efficiency to achieve carbon neutrality," Resources Policy, Elsevier, vol. 88(C).
    4. Li, Chunyu & Lou, Chenxin & Luo, Dan & Xing, Kai, 2021. "Chinese corporate distress prediction using LASSO: The role of earnings management," International Review of Financial Analysis, Elsevier, vol. 76(C).
    5. Alexandre Belloni & Victor Chernozhukov & Christian Hansen, 2014. "Inference on Treatment Effects after Selection among High-Dimensional Controlsâ€," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 81(2), pages 608-650.
    6. Alex Coad & Stjepan Srhoj, 2020. "Catching Gazelles with a Lasso: Big data techniques for the prediction of high-growth firms," Small Business Economics, Springer, vol. 55(3), pages 541-565, October.
    7. Evgeny Burnaev & Evgeny Mironov & Aleksei Shpilman & Maxim Mironenko & Dmitry Katalevsky, 2023. "Practical AI Cases for Solving ESG Challenges," Sustainability, MDPI, vol. 15(17), pages 1-15, August.
    8. Charles I. Jones & Paul M. Romer, 2010. "The New Kaldor Facts: Ideas, Institutions, Population, and Human Capital," American Economic Journal: Macroeconomics, American Economic Association, vol. 2(1), pages 224-245, January.
    9. ., 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.
    10. Ajay Agrawal & Joshua S. Gans & Avi Goldfarb, 2019. "Artificial Intelligence: The Ambiguous Labor Market Impact of Automating Prediction," Journal of Economic Perspectives, American Economic Association, vol. 33(2), pages 31-50, Spring.
    11. Lucas, Robert Jr., 1988. "On the mechanics of economic development," Journal of Monetary Economics, Elsevier, vol. 22(1), pages 3-42, July.
    12. Su, Chi Wei & Song, Xin Yue & Dou, Junyi & Qin, Meng, 2025. "Fossil fuels or renewable energy? The dilemma of climate policy choices," Renewable Energy, Elsevier, vol. 238(C).
    13. Xiaoxia Jia & Weiyi Guang, 2024. "Can Innovation Improve Corporate ESG Performance? The Moderating Effect of Internal and External Incentives," Sustainability, MDPI, vol. 16(15), pages 1-21, August.
    14. Kakatkar, Chinmay & Bilgram, Volker & Füller, Johann, 2020. "Innovation analytics: Leveraging artificial intelligence in the innovation process," Business Horizons, Elsevier, vol. 63(2), pages 171-181.
    15. Bradford Cornell & Alan C. Shapiro, 2021. "Corporate stakeholders, corporate valuation and ESG," European Financial Management, European Financial Management Association, vol. 27(2), pages 196-207, March.
    16. Feng Yang & Tingwei Chen & Zongbin Zhang & Kan Yao, 2024. "Firm ESG Performance and Supply-Chain Total-Factor Productivity," Sustainability, MDPI, vol. 16(20), pages 1-19, October.
    17. Qin, Meng & Wan, Yue & Dou, Junyi & Su, Chi Wei, 2024. "Artificial Intelligence: Intensifying or mitigating unemployment?," Technology in Society, Elsevier, vol. 79(C).
    18. 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.
    19. Huang, Yujie & Liu, Shucheng & Gan, Jiawu & Liu, Baoliu & Wu, Yuxi, 2024. "How does the construction of new generation of national AI innovative development pilot zones drive enterprise ESG development? Empirical evidence from China," Energy Economics, Elsevier, vol. 140(C).
    20. Pankaj C. Patel, 2024. "The impact of trademark intensity on firm performance: Unraveling the role of product market competition, total factor productivity, and SG&A efficiency," Managerial and Decision Economics, John Wiley & Sons, Ltd., vol. 45(6), pages 3942-3958, September.
    21. Franco Donati & Sébastien M. R. Dente & Chen Li & Xaysackda Vilaysouk & Andreas Froemelt & Rohit Nishant & Gang Liu & Arnold Tukker & Seiji Hashimoto, 2022. "The future of artificial intelligence in the context of industrial ecology," Journal of Industrial Ecology, Yale University, vol. 26(4), pages 1175-1181, August.
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    Keywords

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    JEL classification:

    • F23 - International Economics - - International Factor Movements and International Business - - - Multinational Firms; International Business
    • M14 - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics - - Business Administration - - - Corporate Culture; Diversity; Social Responsibility
    • C61 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Optimization Techniques; Programming Models; Dynamic Analysis
    • O14 - Economic Development, Innovation, Technological Change, and Growth - - Economic Development - - - Industrialization; Manufacturing and Service Industries; Choice of Technology

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