The study on key influencing factors of mergers and acquisitions performance based on China state-owned listed enterprises

盈利能力指数 业务 产业组织 情感(语言学) 中国 钥匙(锁) 支柱 财务 计算机科学 政治学 计算机安全 语言学 结构工程 工程类 哲学 法学
作者
Xi Zhao,Haitao Qu,Yimin Huang
出处
期刊:Grey systems [Emerald Publishing Limited]
卷期号:6 (1): 41-50 被引量:9
标识
DOI:10.1108/gs-07-2015-0036
摘要

Purpose – The purpose of this paper is to analyze the key influencing factors which affect the performance of M & A and the key influencing factors by establishing grey relational sequence model. The results can not only perfect the current existing theoretical system, but also provide theoretical guide for M & A practice. Design/methodology/approach – First of all, this paper analyzes the M & A performance through the literature reviews, and then establishes the grey model about M & A performance from three influencing factors: profitability, operational and development capacity to analyze its key influencing factors which affect M & A performance. Furthermore, the key factors influencing of M & A performance are analyzed, the results can be obtained through the analysis of the grey relative degree based on six years’ data of state-owned enterprises. Findings – In this paper, some results can be found that ownership restriction and executive compensation can significantly affect corporate profitability and operation ability. M & A and institutional investors can be affected greater from the perspective of development ability and profitability. In general, enterprise scale has little affect on the performance after M & A. Practical implications – With the sustainable development of economic globalization, M & A has become an important strategy for the rapid growth of the enterprise, enlargement market and brand effect. But the performance after M & A in most enterprises does not improve. As the pillar of the national economy, state-owned enterprises have an important impact on China’s economic development and urgently need to be reformed. Originality/value – This paper analyzes the key factors through establishing grey relative sequence model to analyze the correlation of M & A performance and influencing factors, and finds key influencing factors which affect the performance of M & A. The conclusion can provide policy guidance for the improvement of M & A performance in the future.
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