Effect of Tax Policy Reforms on Financial Performance of Food Manufacturing Companies in Industrial Area, Nairobi Kenya

Peninnah Wachuka, Dr. Robert Odunga and Dr. Marion Nekesa
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Peninnah Wachuka: School of Business and Economics, Moi University, Kenya
Dr. Robert Odunga: School of Business and Economics, Moi University, Kenya
Dr. Marion Nekesa: School of Business and Economics, Moi University, Kenya

International Journal of Research and Innovation in Social Science, 2025, vol. 9, issue 4, 3362-3370

Abstract: Tax policy reforms impact food manufacturing companies by influencing financial performance through increased operational costs, compliance burdens, and investment uncertainties. Higher taxes and reduced incentives affect profit margins, while regulatory changes strain resources. This study examined the effects of tax digitalization and regulatory changes on food manufacturers in Nairobi’s Industrial Area. It was guided by Public Choice Theory, Pecking Order Theory, and the Resource-Based View (RBV) Theory. The study adopted an explanatory research design and relied solely on primary data, utilizing a quantitative approach to analyze the relationship between tax policy reforms and financial performance. The target population comprised all registered food manufacturing companies in the Industrial Area, Nairobi City. The unit of observation consisted of all 200 owners/managers of the medium-sized food manufacturing firms targeted. Additionally, the study adopted a census method to sample all 200 owners/managers of the medium-sized food manufacturing firms. Primary data was gathered through the use of a structured questionnaire from the selected firms, while financial data provided additional information for financial performance measurement. The study’s findings reveal that all four independent variables; tax digitalization and regulatory changes significantly impact the financial performance of food manufacturing companies in Nairobi’s Industrial Area. The correlation results show a moderate to strong positive relationship between these variables and financial performance, with tax digitalization (r = .583) and regulatory changes (r = .544) exhibiting the strongest correlations. Regression analysis indicates that 33.2% of the variance in financial performance is explained by these factors, with regulatory changes having the most substantial impact (β = .413, p

Date: 2025
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