肯尼亚制造业企业运营成本的不确定性与财务业绩

J. Pila, Willy Muturi, T. Olweny
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摘要

本研究的主要目的是找出肯尼亚制造企业运营成本的不确定性是否会影响财务业绩。肯尼亚制造业企业的表现不尽如人意。它们本应通过 GDP 增量和市场份额为经济增长做出贡献,在关键加工行业吸引最大的战略投资,增加本地和国际销售额,并雇用肯尼亚 20% 的人口。然而,制造企业一直面临着各种财务和非财务挑战,包括利润和销售额下降,一些企业已经退出市场。导致财务业绩下降的因素有很多。然而,运营成本的不确定性对肯尼亚制造企业财务业绩的影响尚无定论。一些研究发现两者之间存在负相关关系,而另一些研究则发现两者之间存在正相关关系。因此,本研究有必要探讨企业运营成本不确定性对肯尼亚制造业企业财务业绩的影响。本研究的变量基于代理理论,该理论指出,在财务不确定期间,运营成本是不稳定的。运营成本不确定性的指标是劳动力成本比率和研发比率,绩效的替代指标是 ROS 和 ROE。研究采用了实证主义哲学和解释性设计。研究对象是在肯尼亚制造商协会注册的 856 家制造企业。采用 Nasuirma(2000 年)公式从总体中抽取了 90 家公司作为样本。分层随机抽样技术适用于 14 个行业,每个样本都是通过随机抽样抽取的。研究涵盖 12 年,从 2009 年开始到 2020 年结束。使用数据收集工具从经审计的财务报表中收集面板数据。研究结果表明,运营成本的不确定性对肯尼亚制造业企业的财务业绩具有积极而重要的影响。劳动力成本率与肯尼亚制造业企业的财务绩效存在显著的负相关关系。研发比率对肯尼亚制造企业的财务业绩有积极而重要的影响。研究建议制造企业加强技术到位,以帮助降低生产成本。研究建议加强研发,以利用市场对产品和生产技术的需求。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Operational cost uncertainty and financial performance of manufacturing firms in Kenya
The main objective of this study was to find out if uncertainty about the operational costs of manufacturing firms in Kenya affects financial performance. Kenyan manufacturing firms have not been performing as expected. They are meant to contribute to economic growth through GDP increments and market share, attract the largest strategic investments in the key processing industry, increase sales locally and internationally, and employ 20% of the Kenyan population. However, manufacturing firms have been facing various financial and non-financial challenges, including declining profit and sales, and some firms have moved out of the market. Many factors have been cited as contributing to declining financial performance. However, the influence of operational cost uncertainty on the financial performance of manufacturing firms in Kenya is not conclusive. Some studies found a negative relationship, while others found a positive relationship. Hence, the current study necessitates examining the influence of firm operational cost uncertainty on the financial performance of manufacturing firms in Kenya. The study anchored its variable on agency theory, which states that during financial uncertainty, operational costs are volatile. Indicators of operational cost uncertainty were the labour cost ratio and the research and development ratio, and proxies of performance were ROS and ROE. The study adopted positivism, philosophy, and an explanatory design. The target population was 856 manufacturing firms registered with the Kenya Association of Manufacturers. A sample of 90 firms was drawn from the population using the Nasuirma (2000) formula. The stratified random sampling technique was applied to 14 sectors, and each sample was picked by random sampling. The study covered 12 years, starting from 2009 to 2020. Panel data was collected from audited financial statements using a data collection instrument. Results showed that operational cost uncertainty had a positive and significant influence on the financial performance of manufacturing firms in Kenya. The labour cost ratio had a negative and significant relationship with the financial performance of manufacturing firms in Kenya. The research and development ratio had a positive and significant impact on the financial performance of manufacturing firms in Kenya. The study recommends manufacturing firms have enhanced technology in place to help reduce production costs. The study recommends having enhanced research and development in place that will take advantage of the market niche for products and technology for production.
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