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Horizontal mergers, efficiency and capacity utilization: A DEA approach.

机译:横向合并,效率和容量利用:DEA方法。

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摘要

This dissertation examines the relationship between horizontal mergers, technical efficiency and capacity utilization using the empirical evidence from the U.S. manufacturing industries during 1990s. In particular, three main questions about horizontal mergers are addressed: (1) do horizontal mergers enhance firm-level technical efficiency? (2) What is the relationship between firm-level technical efficiency and stock market reactions to merger announcement? (3) What is the role of capacity utilization in horizontal mergers? The empirical methodology consists primarily of Data Envelopment Analysis (DEA), which is employed to measure firm-specific efficiency and capacity utilization rate. DEA is also supplemented by econometric analysis as relevant.; First, the nonparametric DEA methodology supplemented by bootstrap is employed to investigate the pre-merger efficiency distributions across acquiring firms and targets, and also the post-merger efficiency gains for the combined entities. Additionally, the two-way fixed effect analysis is used to assess the overall merger effects on the change of efficiency. It is found that the overall short-run merger effects on efficiency change tend to be negative when compared with firms without mergers.; Second, the relationship between the technical efficiency of the participating firms and the stock market response to the horizontal merger announcements is examined. Technical inefficiency captures a firm's managerial inability to produce the maximum output from a given bundle of inputs. Stock market abnormal returns around the merger announcement date provide the investor's re-evaluation of the future performance of the participating firms based on the newly announced information; hence they represent the gains from mergers. Cross-sectional regression analysis is employed to explore the sources of the merger gains. In order to avoid the problems of nonnormality and heteroskedasticity in the regression analysis, the wild bootstrap method is employed in the estimation and inference. The results indicate that the market responds more favorably to a merger when the acquiring firm has lower pre-merger efficiency. Apparently, it regards the merger activity as a beneficial rearrangement between these two firms.; Finally, we address the question of why some firms became bidders and some targets with particular focus on the role of capacity utilization in the mergers activities. Horizontal mergers can be viewed as an external expansion for the acquiring firms to gain more capacity in the short run. For this, we extend the DEA model of Fare, Grosskopf and Kokkelenberg by imposing a short-run variable cost constraint in estimating the firm-level rate of capacity utilization. A subsequent logit regression reveals that firms with high capacity utilization rates are more likely to become acquirers in the market.
机译:本文利用1990年代美国制造业的经验证据,研究了横向兼并,技术效率和产能利用率之间的关系。尤其要解决有关横向合并的三个主要问题:(1)横向合并是否可以提高公司一级的技术效率? (2)企业层面的技术效率与股市对合并公告的反应之间是什么关系? (3)产能利用率在横向兼并中的作用是什么?经验方法主要由数据包络分析(DEA)组成,该数据包络分析用于测量公司特定的效率和产能利用率。必要时,还通过计量经济学分析来补充DEA。首先,采用由引导程序补充的非参数DEA方法来研究并购公司和目标之间的合并前效率分布,以及合并后实体的合并后效率收益。此外,双向固定效应分析用于评估整体合并对效率变化的影响。研究发现,与没有合并的公司相比,短期合并对效率变化的总体影响趋于负面。其次,研究了参与公司的技术效率与股票市场对横向合并公告的反应之间的关系。技术效率低下反映了公司的管理能力不足,无法从给定的投入中产生最大的产出。合并公告日期前后的股票市场异常收益为投资者提供了根据新公布的信息对参与公司的未来表现进行的重新评估;因此,它们代表了合并带来的收益。截面回归分析用于探索合并收益的来源。为了避免回归分析中的非正态性和异方差性问题,在估计和推断中采用了野生自举法。结果表明,当收购公司的合并前效率较低时,市场对合并的响应会更有利。显然,它将合并活动视为这两家公司之间的有益重组。最后,我们解决了以下问题:为什么有些公司成为竞标者,而某些目标却特别关注产能利用在合并活动中的作用。横向兼并可以看作是收购公司在短期内获得更多产能的外部扩展。为此,我们通过在估计企业级别的产能利用率上施加短期可变成本约束,扩展了Fare,Grosskopf和Kokkelenberg的DEA模型。随后的logit回归表明,具有高产能利用率的公司更有可能成为市场中的收购者。

著录项

  • 作者

    Wu, Yanna.;

  • 作者单位

    The University of Connecticut.;

  • 授予单位 The University of Connecticut.;
  • 学科 Economics General.
  • 学位 Ph.D.
  • 年度 2004
  • 页码 149 p.
  • 总页数 149
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类 经济学;
  • 关键词

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