Corporate Digital Transformation and M&A Efficiency: Evidence Based on Chinese Listed Companies

IF 2.1 Q2 BUSINESS, FINANCE
Gui Ren, Zhenxian Huo, Jingjing Wang, Xihe Liu
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引用次数: 0

Abstract

In order to help enterprises to achieve high-quality development and improve the capital market regulatory policies by supporting with more factual basis from China, this paper conducts research on clarifying impact mechanism of digital transformation on M&A efficiency of listed companies. Taking the mergers and acquisitions of listed companies from 2007 to 2021 as a research sample, the influence mechanism of the digital transformation degree of companies on their M&A efficiency was studied. The research results show that the digital transformation of listed companies will improve their M&A efficiency. Digital transformation will reduce the degree of mispricing stocks of M&A companies, curb conflicts between managers and agents of M&A companies, and improve their M&A efficiency. Further research finds that the promotion effect of digital transformation on M&A efficiency is more significant in non-state-owned companies, with a higher degree of financing constraint and high analyst attention. In the future, regulatory authorities should actively promote the digital transformation of listed companies, curb mispricing and management agency problems in the capital market with digital governance, and improve the efficiency of mergers and acquisitions in the capital market. This paper not only provides a more factual basis on concrete case from China but also enriches the related empirical analysis on corporate digital transformation and M&A efficiency.
企业数字化转型与并购效率:基于中国上市公司的实证研究
为了帮助企业实现高质量发展,完善资本市场监管政策,提供更多中国的事实依据,本文对明确数字化转型对上市公司并购效率的影响机制进行了研究。以2007 - 2021年上市公司并购为研究样本,研究公司数字化转型程度对并购效率的影响机制。研究结果表明,上市公司数字化转型将提高其并购效率。数字化转型将降低并购A公司股票的错定价程度,抑制并购A公司管理者与代理人之间的冲突,提高并购效率。进一步研究发现,非国有企业数字化转型对并购效率的促进作用更为显著,融资约束程度较高,分析师关注度较高。未来,监管部门应积极推动上市公司数字化转型,以数字化治理遏制资本市场的错误定价和管理代理问题,提高资本市场并购效率。本文不仅为中国的具体案例提供了更为事实的依据,而且丰富了企业数字化转型与并购效率的相关实证分析。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
CiteScore
3.70
自引率
8.70%
发文量
100
审稿时长
11 weeks
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