作者 | 李阳 |
姓名汉语拼音 | Liyang |
学号 | 2021000008086 |
培养单位 | 兰州财经大学 |
电话 | 15321055092 |
电子邮件 | 3293266880@qq.com |
入学年份 | 2021-9 |
学位类别 | 学术硕士 |
培养级别 | 硕士研究生 |
学科门类 | 管理学 |
一级学科名称 | 工商管理 |
学科方向 | 会计学 |
学科代码 | 120201 |
第一导师姓名 | 李培根 |
第一导师姓名汉语拼音 | Lipeigen |
第一导师单位 | 兰州财经大学 |
第一导师职称 | 教授 |
题名 | 企业数字化转型对股价信息含量的影响研究 |
英文题名 | Research on Corporate Governance of Southeast Asian Corporations |
关键词 | 企业数字化转型 股价信息含量 代理成本 分析师关注度 股票流动性 |
外文关键词 | Enterprise digital transformation ; Stock price information content ; Agency cost ; Analyst attention ; Stock liquidity |
摘要 | 近年来,数字经济的蓬勃发展促进了“大智移云物”等数字技术不断迭代升级,各行各业在国家政策的指引下纷纷开展数字化转型。企业数字化转型是将数字技术与企业全面融合,对企业的组织结构、生产流程、商业模式进行变革,同时也改变了信息的生成、处理和报告的环境和流程。在资本市场中,企业处于信息的供给方,决定着所提供信息的数量和质量,外部投资者处于信息的需求方,其投资决策受所能够获得目标企业特质信息的多寡影响较大。目前,我国企业经常出现信息披露不及时、不全面、不规范的情况,致使公司特质信息不能充分融入股票价格之中,导致资本市场的定价效率较低,股价信息含量不高。企业数字化转型战略的实施在提高股价信息含量提供了一个契机。从已有研究中发现,目前学术界关于企业数字化转型的相关研究多集中于企业发展方面,较少文献探讨企业数字化转型对股价以及资本市场信息效率方面影响因素和驱动路径。因此,深入研究企业数字化转型与股价信息含量的相关关系具有理论意义和现实意义。 本文以 2011-2022 年中国沪深 A 股上市公司为研究样本。首先,实证考察了企业数字化转型与股价信息含量的关系;其次,选取代理成本、分析师关注度、股票流动性三个中介变量,应用中介效应逐步回归法检验模型探讨企业数字化转型对股价信息含量的影响机制;最后,以企业产权性质、股权集中度、企业科技 属性以及企业生命周期对研究样本进行分组回归,以检验不同分组企业数字化转型对股价信息含量的异质性。研究结果表明:(1)企业数字化转型与股价信息含量之间呈显著正相关关系,表明企业数字化转型显著提高股价信息含量;(2)企业数字化转型通过缓解委托代理问题,降低信息不对称,提高信息透明度,抑 制管理者机会主义行为,提高股价信息含量;(3)企业数字化转型能够提高分析师关注度,促使其发挥“信息传递”效应和“外部监督”效应,进而提高股价信息含量;(4)企业数字化转型通过发挥“创新”效应和“治理”效应,提高企业的创新能力和财务稳定性,增强了股票流动性,对提高股价信息含量具有显著的促进作用;(5)进一步分析表明,非国有企业、股权集中度低的企业、高科技企业、处于成长期和成熟期的企业通过开展数字化转型对提高股价信息含量的作用更明显。 本文的创新点可能存在于,从不同的角度分析论证了企业数字化转型与股价息含量因果关系,并且分析了其他影响因素如股权集中度、企业科技属性、企业生命周期等对二者之间的关系,同时丰富了企业数字化转型与股价信息含量相关领域的研究,为以后学者提供经验借鉴。 |
英文摘要 | In recent years, the vigorous development of the digital economy has promoted the continuous iteration and upgrading of digital technologies such as "great wisdom moving cloud matter", and all walks of life have carried out digital transformation under the guidance of national policies. company number convert is the full-scale integration of umbe skill and enterprises, which changes the organizational structure, production process and business model of interprises, and also changes the environment and process of information generation, processing and reporting. In the capital market, enterprises are on the information supply side, which determines the quantity and quality of the information provided, while external investors are on the information demand side, and their investment decisions are greatly influenced by the amount of information they can obtain about the characteristics of the target enterprises. At present, the information disclosure of Chinese enterprises is often not timely, incomplete and non-standard, resulting in the company's characteristic information can not be fully integrated into the stock price, resulting in the capital market's pricing efficiency is low, and the price information content is not high. The implementation of digital transformation strategy provides an opportunity to improve the information content of stock price. From the existing studies, it is found that the current academic research on company number convert mostly to pay close attention to company development, and few literatures discuss the influencing factors and driving paths of enterprise digital transformation on stock price and capital market message workpiece ratio. Therefore, it is of theoretical and practical significance to study the correlation between digital transformation and stock price information content.
This paper takes the A-share listed companies in Shanghai and Shenzhen of China from 2011 to 2022 as research samples. Firstly, this paper empirically examines the relationship between digital transformation and stock price information content. Secondly, three intermediary variables, agency cost, analyst attention and stock liquidity, are selected, and the intermediary effect stepwise regression method is used to test the model to explore the impact mechanism of digital transformation on stock price information content. Finally, grouping regression is carried out on the research samples based on the property rights, ownership concentration, technological attributes of enterprises and enterprise life cycle, in order to test the heterogeneity of the number convert of companies in disparate teams on stock price message content. The results show that: (1) there is a significant positive correlation between the number convert of companies and the message content of stock price, indicating that the digital transformation of enterprises significantly improves the information content of stock price; (2) By alleviating principal-agent problems, enterprises' number convert can reduce message dissymmetry, improve message transparency, restrain managers' opportunistic behavior, and increase the message matter of stock prices; (3) The number convert of companies can improve the attention of analysts, promote the "information transmission" effect and "external supervision" effect, and then improve the information content of stock prices; (4) By exerting the "innovation" effect and governance" effect, the digital transformation of enterprises improves the innovation ability and financial stability of enterprises, enhances the stock liquidity, and plays a significant role in promoting the increase of the information content of stock prices; (5) Further analysis shows that non-state-owned enterprises, enterprises with low ownership concentration, high-tech enterprises, and enterprises in the growth and maturity stages have more obvious effects on improving the information content of stock prices by carrying out digital transformation. The innovation of this paper may lie in that it analyzes and demonstrates the cause and effect relationship between companies number convert and stock price information content from different perspectives, and analyzes the relationship between the two factors such as ownership concentration, enterprise technological attributes, enterprise life cycle, etc. At the same time, it enricfies the research in the fields related to enterprise digital transformation and stock price information content. It provides experience for future scholars.
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学位类型 | 硕士 |
答辩日期 | 2024-05-26 |
学位授予地点 | 甘肃省兰州市 |
语种 | 中文 |
论文总页数 | 64 |
参考文献总数 | 82 |
馆藏号 | 0005996 |
保密级别 | 公开 |
中图分类号 | F23/1011 |
文献类型 | 学位论文 |
条目标识符 | http://ir.lzufe.edu.cn/handle/39EH0E1M/36386 |
专题 | 会计学院 |
推荐引用方式 GB/T 7714 | 李阳. 企业数字化转型对股价信息含量的影响研究[D]. 甘肃省兰州市. 兰州财经大学,2024. |
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