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

IF 6.2 2区 经济学 Q1 ECONOMICS Socio-economic Planning Sciences Pub Date : 2024-10-10 DOI:10.1016/j.seps.2024.102092
Xin Zhao , Guoqing Zhai , Vincent Charles , Tatiana Gherman , Hyoungsuk Lee , Tuan Pan , Yuping Shang
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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.
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通过人工智能提高企业投资效率:会计信息透明度的作用
在以全球经济复苏为重要目标的后 COVID-19 时代,人工智能(AI)的快速发展已成为经济增长和转型的关键驱动力。人工智能不仅是经济发展的强大催化剂,也对企业投资效率(EIE)产生了重大影响。本文探讨了人工智能对企业投资效率的影响,重点关注会计信息透明度的作用。利用 2010 年至 2021 年沪深 A 股上市企业的数据,研究结果表明,人工智能的发展显著提高了 EIE。这些结果通过稳健性检验得到了证实,包括变量替代、解决内生性和样本限制等。机制分析表明,人工智能通过提高会计信息的透明度来改善 EIE。此外,异质性分析表明,人工智能对高科技和技术密集型企业、非国有企业以及位于高度城市化地区(如 "宽带中国 "试点城市)的企业的投资效率影响更大。本文通过企业会计信息透明度的视角,研究了人工智能的发展如何影响企业投资效率,为加强会计信息披露提供了可操作的见解,也为企业在现代技术转型中提供了宝贵的资源。
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来源期刊
Socio-economic Planning Sciences
Socio-economic Planning Sciences OPERATIONS RESEARCH & MANAGEMENT SCIENCE-
CiteScore
9.40
自引率
13.10%
发文量
294
审稿时长
58 days
期刊介绍: Studies directed toward the more effective utilization of existing resources, e.g. mathematical programming models of health care delivery systems with relevance to more effective program design; systems analysis of fire outbreaks and its relevance to the location of fire stations; statistical analysis of the efficiency of a developing country economy or industry. Studies relating to the interaction of various segments of society and technology, e.g. the effects of government health policies on the utilization and design of hospital facilities; the relationship between housing density and the demands on public transportation or other service facilities: patterns and implications of urban development and air or water pollution. Studies devoted to the anticipations of and response to future needs for social, health and other human services, e.g. the relationship between industrial growth and the development of educational resources in affected areas; investigation of future demands for material and child health resources in a developing country; design of effective recycling in an urban setting.
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