宏观经济因素对企业总资产回报率的影响:来自巴基斯坦的行业比较分析

A. Mohd, D. Siddiqui
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引用次数: 2

摘要

公司层面因素或行业特定决定因素对公司绩效的影响已经在巴基斯坦进行了研究,但研究主要集中在纺织工业和一定程度上的农业食品工业。本研究对宏观经济因素对巴基斯坦公司业绩的影响进行了研究,重点是七个行业。通过财务报告收集了巴基斯坦7个行业的5家公司(35家公司)的10年数据,这些公司来自他们的官方网站。入选的七个行业分别是制糖、纺织、服装、汽车、食品、陶瓷和水泥行业。采用单独的回归方法评估了通货膨胀率、实际有效汇率、外国直接投资和失业率等宏观经济因素以及单位劳动力成本对各行业资产收益率的影响。结果表明,通货膨胀是糖业企业绩效的重要影响因素,而劳动力单位成本和汇率对纺织业企业绩效有显著影响。服装和汽车行业企业的业绩受到通货膨胀和失业的严重影响。最后,食品和水泥行业的总资产回报率受汇率和FDI的影响较大。而这些宏观经济因素对陶瓷行业的影响微乎其微。这些结果可以帮助管理者、公司审计员、贷款人和监管机构识别受宏观经济变化影响的企业,并利用这些信息改善未来的绩效。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Effect of Macroeconomic Factors on Firms’ ROA: A Comparative Sectorial Analysis from Pakistan
The effect of firm-level factors or industry-specific determinants on company performance has been worked on in Pakistan but the researches are mainly focused on textile industries and to an extent agro-food industry. This study has been conducted on the effect of macroeconomic factors on firm performance in Pakistan with the focus being on seven industries. 10-year data of 5 companies each in 7 industries in Pakistan (35 companies) was collected through the financial reports, from their official websites. Seven industries were selected the Sugar, Textile, Garments, Automotive, Food, Ceramics, and Cement industries. The effect of macro-economic factors like Inflation Rate, Real Effective Exchange Rate, Foreign direct investment and Unemployment Rate, as well as Unit Labor Cost, were assessed on Return on Assets for each industry using separate regressions. The results indicated that inflation was a significant factor in the sugar industry whereas labor unit cost and exchange rate significantly contributed to textile industry firm performance. Garment and auto industry firm performance was heavily influenced by inflation and unemployment. Lastly, the food and cement industry ROA was greatly influenced by the rate of exchange and FDI. Whereas these macroeconomic factors had very little impact on the Ceramic industry. These results can assist managers, company auditors, lenders, and regulatory bodies to identify businesses that will be affected by macroeconomic changes and use this information to improve future performance.
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