关于马来西亚建筑业公司改进潜力的绩效研究

Lim Shun Jinn, Lam Weng Hoe, Lam Weng Siew
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引用次数: 0

摘要

建筑行业是马来西亚经济增长的重要贡献者之一,对马来西亚的 GDP 贡献巨大。本研究选取了 2006-2021 年马来西亚证券交易所主要市场建筑行业的 35 家公司作为研究对象。马来西亚 CIDB 启动了 "建筑 4.0 战略计划(2021-2025 年)",旨在利用创新技术改造建筑业,以建立一个更有效、更可持续的综合系统。本研究旨在考察各建筑公司的效率表现,从而为政策制定者、投资者以及利益相关者提供有利信息。通过这些洞察力,可以帮助股东在如何重新分配资源和投资机会方面做出明智的决策。本研究使用财务比率的 DEA 模型,其中包括三个输入:债务资产比 (DAR)、债务股本比 (DER) 和流动比率 (CR) 以及三个输出:每股收益 (EPS)、股本回报率 (ROE) 和资产回报率 (ROA),以填补有关马来西亚建筑行业效率的研究空白,因为其他研究人员尚未对此进行全面调查。通过 DEA 模型分析了各公司的效率,只有 8 家公司进行了分析:只有 DKLS、KERJAYA、MERCURY、MERGE、MGB、PRTASCO、PTARAS 和 ZECON 这 8 家公司被视为有效率的公司。最后,还确定了每家低效率公司的改进潜力。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A Performance Study on the Potential Improvement of Construction Sector Companies in Malaysia
The construction sector is one of the important contributors to economic growth in Malaysia through Malaysia’s GDP significantly. In this research, 35 companies from Bursa Malaysia, which are selected from construction sector under main market covered year 2006-2021 have been studied. The Construction 4.0 Strategic Plan (2021-2025) was launched by CIDB Malaysia to transform construction industry by utilising the innovative technologies to build a more effective, sustainable and integrated system. This research aims to examine the efficiency performance of each construction firm so that it can be advantaged to policymakers, investors, as well as stakeholders. Through these insights, it can assist the stockholders to make wise decisions in term of how to relocate the resource and investment opportunities. This research uses the DEA model with financial ratios, which included three inputs: debt to assets ratio (DAR), debt to equity ratio (DER), current ratio (CR) and three outputs: earning per share (EPS), return on equity (ROE) and return on asset (ROA) to fill the research gap on the effectiveness of construction sector in Malaysia as there has yet to be a comprehensive investigation by other researchers. The efficiency of the companies was analysed by DEA model and only 8 companies: DKLS, KERJAYA, MERCURY, MERGE, MGB, PRTASCO, PTARAS and ZECON are examined as efficient companies. Lastly, the potential improvement for each inefficient company also have been determined.
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