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Enhancing enterprise investment efficiency through artificial intelligence: The role of accounting information transparency

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  • Zhao, Xin
  • Zhai, Guoqing
  • Charles, Vincent
  • Gherman, Tatiana
  • Lee, Hyoungsuk
  • Pan, Tuan
  • Shang, Yuping

Abstract

In the post-COVID-19 era, with global economic recovery as a critical goal, the rapid development of artificial intelligence (AI) has emerged as a key driver of economic growth and transformation. AI not only acts as a powerful catalyst for economic development but also significantly impacts enterprise investment efficiency (EIE). This paper explores the influence of AI on EIE, with a focus on the role of accounting information transparency. Using data from Shanghai and Shenzhen A-share listed enterprises between 2010 and 2021, the findings demonstrate that AI development significantly enhances EIE. These results are confirmed through robustness tests, including variable substitution, and addressing endogeneity and sample limitations. Mechanism analysis reveals that AI improves EIE by increasing the transparency of accounting information. Additionally, heterogeneity analysis shows that AI has a greater impact on the investment efficiency of high-tech and technology-intensive enterprises, non-state-owned enterprises, and those located in highly urbanised areas, such as ‘Broadband China’ pilot cities. This paper examines how AI development affects EIE through the lens of enterprise accounting information transparency, offering actionable insights for enhancing accounting disclosures and serving as a valuable resource for enterprises navigating the technological transformation of the modern era.

Suggested Citation

  • Zhao, Xin & Zhai, Guoqing & Charles, Vincent & Gherman, Tatiana & Lee, Hyoungsuk & Pan, Tuan & Shang, Yuping, 2024. "Enhancing enterprise investment efficiency through artificial intelligence: The role of accounting information transparency," Socio-Economic Planning Sciences, Elsevier, vol. 96(C).
    • Handle: RePEc:eee:soceps:v:96:y:2024:i:c:s0038012124002921
    DOI: 10.1016/j.seps.2024.102092
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    as
    1. Biddle, Gary C. & Hilary, Gilles & Verdi, Rodrigo S., 2009. "How does financial reporting quality relate to investment efficiency?," Journal of Accounting and Economics, Elsevier, vol. 48(2-3), pages 112-131, December.
    2. Huang, Zhi-xiong & Li, Xiaozhong & Zhao, Yuheng, 2022. "Stock pledge restrictions and investment efficiency," Finance Research Letters, Elsevier, vol. 48(C).
    3. Anastasios Elemes & Andrei Filip, 2022. "Financial Reporting Quality and Private Firms’ Access to Trade Credit Capital," The International Journal of Accounting (TIJA), World Scientific Publishing Co. Pte. Ltd., vol. 57(02), pages 1-34, June.
    4. Li, Mangmang & Cao, Yuqiang & Lu, Meiting & Wang, Hongjian, 2021. "Political uncertainty and allocation of decision rights among business groups: Evidence from the replacement of municipal officials," Pacific-Basin Finance Journal, Elsevier, vol. 67(C).
    5. Haefner, Naomi & Wincent, Joakim & Parida, Vinit & Gassmann, Oliver, 2021. "Artificial intelligence and innovation management: A review, framework, and research agenda✰," Technological Forecasting and Social Change, Elsevier, vol. 162(C).
    6. Katja Mann & Lukas Püttmann, 2023. "Benign Effects of Automation: New Evidence from Patent Texts," The Review of Economics and Statistics, MIT Press, vol. 105(3), pages 562-579, May.
    7. Ying Hao & Jing Lu, 2018. "The Impact of Government Intervention on Corporate Investment Allocations and Efficiency: Evidence from China," Financial Management, Financial Management Association International, vol. 47(2), pages 383-419, June.
    8. Verrecchia, Robert E., 2001. "Essays on disclosure," Journal of Accounting and Economics, Elsevier, vol. 32(1-3), pages 97-180, December.
    9. Samuel Fulgence & Agyenim Boateng & Yan Wang & Frank O. Kwabi, 2023. "Board Effect and the Moderating Role of CEOs/CFOs on Corporate Governance Disclosure: Evidence from East Africa," The International Journal of Accounting (TIJA), World Scientific Publishing Co. Pte. Ltd., vol. 58(03), pages 1-50, September.
    10. Chen, Shimin & Sun, Zheng & Tang, Song & Wu, Donghui, 2011. "Government intervention and investment efficiency: Evidence from China," Journal of Corporate Finance, Elsevier, vol. 17(2), pages 259-271, April.
    11. Fujii, Hidemichi & Managi, Shunsuke, 2018. "Trends and priority shifts in artificial intelligence technology invention: A global patent analysis," Economic Analysis and Policy, Elsevier, vol. 58(C), pages 60-69.
    12. Lin William Cong & Zhiguo He, 2019. "Blockchain Disruption and Smart Contracts," The Review of Financial Studies, Society for Financial Studies, vol. 32(5), pages 1754-1797.
    13. Lin, James Juichia & Yeh, Yin-Hua, 2020. "Internal capital markets, ownership structure, and investment efficiency: Evidence from Taiwanese business groups," Pacific-Basin Finance Journal, Elsevier, vol. 60(C).
    14. Shi, Xiao & Wang, Libo & Emrouznejad, Ali, 2023. "Performance evaluation of Chinese commercial banks by an improved slacks-based DEA model," Socio-Economic Planning Sciences, Elsevier, vol. 90(C).
    15. Deng, Lu & Jiang, Ping & Li, Sifei & Liao, Mingqing, 2020. "Government intervention and firm investment," Journal of Corporate Finance, Elsevier, vol. 63(C).
    16. Karthik Balakrishnan & Mary Brooke Billings & Bryan Kelly & Alexander Ljungqvist, 2014. "Shaping Liquidity: On the Causal Effects of Voluntary Disclosure," Journal of Finance, American Finance Association, vol. 69(5), pages 2237-2278, October.
    17. Verrecchia, Robert E., 1983. "Discretionary disclosure," Journal of Accounting and Economics, Elsevier, vol. 5(1), pages 179-194, April.
    18. Marcus Buckmann & Andy Haldane & Anne-Caroline Hüser, 2021. "Comparing minds and machines: implications for financial stability," Oxford Review of Economic Policy, Oxford University Press and Oxford Review of Economic Policy Limited, vol. 37(3), pages 479-508.
    19. Wall, Larry D., 2018. "Some financial regulatory implications of artificial intelligence," Journal of Economics and Business, Elsevier, vol. 100(C), pages 55-63.
    20. Francis, Jennifer & LaFond, Ryan & Olsson, Per & Schipper, Katherine, 2005. "The market pricing of accruals quality," Journal of Accounting and Economics, Elsevier, vol. 39(2), pages 295-327, June.
    21. Lv, Panpan & Xiong, Hu, 2022. "Can FinTech improve corporate investment efficiency? Evidence from China," Research in International Business and Finance, Elsevier, vol. 60(C).
    22. Ismail Adelopo & Kemi C. Yekini & Robert Maina & Yan Wang, 2021. "Board Composition and Voluntary Risk Disclosure During Uncertainty," The International Journal of Accounting (TIJA), World Scientific Publishing Co. Pte. Ltd., vol. 56(02), pages 1-46, June.
    23. Zuo, Junqing & Zhang, Wei & Ruan, Chenghao & Xiong, Xiong, 2024. "A blessing or a curse? Non-local mutual fund holdings and firm investment efficiency," Finance Research Letters, Elsevier, vol. 66(C).
    24. Chen, Tao & Xie, Lingmin & Zhang, Yuanyuan, 2017. "How does analysts' forecast quality relate to corporate investment efficiency?," Journal of Corporate Finance, Elsevier, vol. 43(C), pages 217-240.
    25. Liu, Shu & Wu, Yuting & Yin, Xiaobo & Wu, Bin, 2023. "Digital transformation and labour investment efficiency: Heterogeneity across the enterprise life cycle," Finance Research Letters, Elsevier, vol. 58(PC).
    26. Alan Dignam, 2020. "Artificial intelligence, tech corporate governance and the public interest regulatory response," Cambridge Journal of Regions, Economy and Society, Cambridge Political Economy Society, vol. 13(1), pages 37-54.
    27. Han, Hongdan & Shiwakoti, Radha K. & Jarvis, Robin & Mordi, Chima & Botchie, David, 2023. "Accounting and auditing with blockchain technology and artificial Intelligence: A literature review," International Journal of Accounting Information Systems, Elsevier, vol. 48(C).
    28. Gao, Xiaoxue, 2023. "Digital transformation in finance and its role in promoting financial transparency," Global Finance Journal, Elsevier, vol. 58(C).
    29. Ran Duchin & Thomas Gilbert & Jarrad Harford & Christopher Hrdlicka, 2017. "Precautionary Savings with Risky Assets: When Cash Is Not Cash," Journal of Finance, American Finance Association, vol. 72(2), pages 793-852, April.
    30. Hong Cheng & Ruixue Jia & Dandan Li & Hongbin Li, 2019. "The Rise of Robots in China," Journal of Economic Perspectives, American Economic Association, vol. 33(2), pages 71-88, Spring.
    31. Ferdaws Ezzi & Maher Abida & Anis Jarboui, 2023. "The Mediating Effect of Corporate Governance on the Relationship Between Blockchain Technology and Investment Efficiency," Journal of the Knowledge Economy, Springer;Portland International Center for Management of Engineering and Technology (PICMET), vol. 14(2), pages 718-734, June.
    32. Dai, Yixin & Hou, Jiani & Li, Xing, 2021. "Industry policy, cross-region investment, and enterprise investment efficiency," Research in International Business and Finance, Elsevier, vol. 56(C).
    33. Huang, Shuo, 2022. "Does FinTech improve the investment efficiency of enterprises? Evidence from China’s small and medium-sized enterprises," Economic Analysis and Policy, Elsevier, vol. 74(C), pages 571-586.
    34. Lin, Yongjia & Lu, Zhenye & Wang, Yizhi, 2023. "The impact of environmental, social, and governance (ESG) practices on investment efficiency in China: Does digital transformation matter?," Research in International Business and Finance, Elsevier, vol. 66(C).
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