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Prevaluating Technical Efficiency Gains From Potential Mergers and Acquisitions in China’s Coal Industry

机译:预先利用中国煤炭行业潜在兼并和收购的技术效率提升

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摘要

With the slowdown of its economic growth, China’s domestic coal industry is facing more and more serious overcapacity. Multiple government departments have jointly proposed that the coal industry should undergo mergers and reorganization to ease this overcapacity, enhance industrial concentration, and optimize production layout. This study thus combines the resample slacks-based measure (SBM) model and potential merger gains model to pre-evaluate the gains from potential mergers and acquisitions (M&As) before making any final decision about them. With a focus on prevaluating efficiency gains before potential M&As instead of efficiency gains after them, we take China’s listed companies in the coal mining and washing industry as the research sample. The data used to evaluate the efficiency from potential M&As come from their annual financial reports from 2013 to 2016. Empirical results show that some mergers of listed coal companies lead to improved efficiency, but not all mergers can bring efficiency improvements. We also find that the most efficient companies are not necessarily the best M&A targets, and that companies suitable for M&As are those in the stage of expansion. In addition, the empirical results confirm that combinations between large coal companies and between cross-listing companies are more efficient.
机译:随着其经济增长放缓,中国的国内煤炭行业面临越来越严重的产能。多个政府部门共同提出,煤炭行业应经过合并和重组,以缓解这种产能,提高产业集中度,并优化生产布局。因此,本研究结合了基于重基本的余量(SBM)模型(SBM)模型和潜在的合并增益模型,以预先评估潜在的兼并和收购(M&AS)的收益在进行关于它们的最终决定之前。专注于在潜在的M&AS之前预先预防效率提升,而不是效率提高,我们将中国上市公司作为研究样本作为研究样本。用于评估2013年至2016年度潜在M&AS潜在M&AS潜在M&AS效率的数据。实证结果表明,上市煤炭公司的一些合并导致效率提高,但并非所有合并都能提升效率。我们还发现,最有效的公司不一定是最好的并购目标,以及适合M&同样的公司在扩张阶段。此外,经验结果证实,大型煤炭公司与跨上市公司之间的组合更有效。

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