ChatGPT的技术冲击、社会关注度与企业价值:来自中国的证据

IF 10.1 1区 社会学 Q1 SOCIAL ISSUES Technology in Society Pub Date : 2024-11-06 DOI:10.1016/j.techsoc.2024.102756
Qinqin Wu , Qinqin Zhuang , Yitong Liu , Longyan Han
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引用次数: 0

摘要

ChatGPT 的发布引起了广泛关注,并引发了资本市场的波动。本研究采用差分法(DID)和事件研究法(ES)研究 ChatGPT 发布对中国上市公司累计异常收益率(CAR)的影响。结果显示,包括 GPT-3.5 和 GPT-4 在内的一系列 ChatGPT 发布事件对关注 ChatGPT 的公司的公司价值产生了显著的正向影响,并具有动态效应。在 ChatGPT 发布后的最初两个月,中国股市表现出对专注于 GPT 的公司价值的低估,这表明存在信息不对称和竞争替代效应。随着生成式人工智能的广泛推广,社会对 ChatGPT 潜在价值的认可度不断提高。本研究验证了社会关注度在增强 ChatGPT 影响力方面的调节作用,表明 ChatGPT 的搜索指数越高,关注 GPT 的公司的股票回报率就越高。异质性检验表明,ChatGPT 对大型公司或非国有公司的影响显著为正,而对小型公司或国有公司的影响不显著。从劳动力结构的角度来看,以技术和生产人员为主的公司会受到积极影响,而以销售人员为主的公司则不会。在数字经济创新环境更有利的东部地区,企业会受到明显的积极影响。本文从理论和实证两方面解释了中国人工智能对微观经济的影响,为政府和企业提供了有价值的启示。
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Technology shock of ChatGPT, social attention and firm value: Evidence from China
The release of ChatGPT has attracted widespread attention and triggered fluctuations in the capital market. This study employs difference-in-differences (DID) and event study (ES) to investigate the effects of ChatGPT's release on the cumulative abnormal return (CAR) of listed companies in China. The results reveal that a series of ChatGPT launch events, including GPT-3.5 and GPT-4, have a significantly positive impact on the firm value of the companies focused on ChatGPT, with dynamic effects. In the initial two months after the release of ChatGPT, the Chinese stock market exhibited an undervaluation of GPT-focused companies, indicating information asymmetry and competitive substitution effect. With the widespread promotion of generative AI, social recognition of ChatGPT's potential value increased. This study verifies the moderation effect of social attention in strengthening ChatGPT's impact, demonstrating that a higher search index for ChatGPT enhances stock returns for GPT-focused companies. Heterogeneity tests reveal that the impact of ChatGPT is significantly positive for large or non-state-owned companies, while small or state-owned companies show no significant effect. From the perspective of labor structure, companies dominated by technical and production personnel experience positive effects, whereas those dominated by sales personnel do not. In the eastern regions with more favorable digital economic innovation environments, companies experience a notably positive impact. This paper provides a theoretical explanation and empirical evidence for the microeconomic impact of generative AI in the Chinese context, offering valuable insights for both government and firms.
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来源期刊
CiteScore
17.90
自引率
14.10%
发文量
316
审稿时长
60 days
期刊介绍: Technology in Society is a global journal dedicated to fostering discourse at the crossroads of technological change and the social, economic, business, and philosophical transformation of our world. The journal aims to provide scholarly contributions that empower decision-makers to thoughtfully and intentionally navigate the decisions shaping this dynamic landscape. A common thread across these fields is the role of technology in society, influencing economic, political, and cultural dynamics. Scholarly work in Technology in Society delves into the social forces shaping technological decisions and the societal choices regarding technology use. This encompasses scholarly and theoretical approaches (history and philosophy of science and technology, technology forecasting, economic growth, and policy, ethics), applied approaches (business innovation, technology management, legal and engineering), and developmental perspectives (technology transfer, technology assessment, and economic development). Detailed information about the journal's aims and scope on specific topics can be found in Technology in Society Briefings, accessible via our Special Issues and Article Collections.
期刊最新文献
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