The Impact of Fuel Tax Rate Fluctuations on the Financial Performance of Agricultural Firms Listed at Nairobi Securities Exchange

Abstract

Fluctuations in fuel taxation rates have profound implications for the economy, consumer behavior, business operations, government revenue, and environmental sustainability. Firms, particularly in sectors such as transportation, logistics, and manufacturing, are heavily reliant on fuel. Consequently, an increase in fuel taxes elevates operational costs, which can result in higher prices for goods and services, thereby contributing to overall inflation. The objective of this study was to examine the effect of fuel tax rate fluctuations on the financial performance of agricultural firms listed on the Nairobi Securities Exchange (NSE). Employing a descriptive quantitative research design, the study aimed to gather and generalize data. Specifically, the research focused on six agricultural firms listed on the NSE, utilizing a secondary data collection method through quarterly records. This approach involved systematically collecting, organizing, and recording data to gain insights, identify patterns, and make informed conclusions. Data analysis was conducted using SPSS, and the Model Summary table revealed an R value of 0.956, indicating a robust 95.6% correlation between the dependent and independent variables. The R-squared value of 0.913 signifies that 91.3% of the variability in financial performance can be attributed to government subsidies, frequency of adjustment, and fuel tax rate fluctuations. The model coefficient table demonstrates the impact and direction of each variable on financial performance (FP). When controlling for other factors, the results show a decrease in financial performance by 8.4%. A unit increase in Fuel Tax Rate Fluctuation positively affects financial performance, evidenced by a coefficient of (β = 0.109) and a significance level of (p = 0.014, < 0.05), indicating a substantial impact. Similarly, a unit change in Frequency of Adjustment positively influences financial performance, with a coefficient of (β = 0.027) and a significance level of (p = 0.001, < 0.05), reflecting significant influence. Lastly, a unit change in Government Subsidies results in a positive effect on financial performance, demonstrated by a coefficient of (β = 0.023) and a significance level of (p = 0.000, < 0.05), highlighting a significant impact. To optimize the benefits of frequent adjustments, standardizing the process and criteria for these adjustments is recommended to enhance transparency and consistency. Given the significant positive impact of government subsidies on the financial performance of agricultural firms, policymakers should focus on enhancing and stabilizing subsidy programs. Additionally, since fuel tax rate fluctuations notably influence financial performance, establishing a more predictable and stable tax policy is advisable. Future research could explore how government subsidies affect various agricultural sub-sectors differently.