An Assessment of the Impact of Fuel Price Fluctuations on the Profitability of the Road Transport Businesses: A Case Study of Sinazongwe District

Int. Jr. of Contemp. Res. in Multi. PEER-REVIEWED JOURNAL Volume 4 Issue 5 [SepOct] Year 2025 344 © 2025 Syakuba Barbra, Dr. Kudzai Simbanegavi. This is an open-access article distributed under the terms of the Creative Commons Attribution 4.0 International License (CC BY NC ND).https://creativecommons.org/licenses/by/4.0/ Research Article An Assessment of the Impact of Fuel Price Fluctuations on the Profitability of the Road Transport Businesses: A Case Study of Sinazongwe District Syakuba Barbra 1*, Dr. Kudzai Simbanegavi 2 1 Business and Management, St Eugene DMI University, Chibombo, Lusaka, Zambia 2 Lecturer, St Eugene DMI University, Chibombo, Lusaka, Zambia Corresponding Author: *Syakuba Barbra DOI: https://doi.org/10.5281/zenodo.17364598 Abstract Manuscript Information This study assesses the impact of fuel price fluctuations on the profitability of road transport businesses in the Sinazongwe District of Zambia. The transport sector is central to the region’s economy, connecting communities and markets while depending heavily on fuel as a core operational input. Given the volatility of fuel prices, the research examines how these changes influence financial performance, operational costs, and strategic decision-making among transport operators. A mixed-methods research design was adopted, integrating both quantitative and qualitative approaches. Quantitative data comprised historical fuel prices and financial performance records from a representative sample of transportation businesses over five years, analyzed to identify correlations between fuel price variations and profit margins. Complementing this, qualitative interviews with key stakeholders and operators provided insights into adaptive strategies, costmanagement practices, and operational challenges arising from fluctuating fuel prices. The findings reveal a clear inverse relationship between rising fuel prices and transport profitability. As prices increased, operators reported shrinking profit margins due to their limited capacity to raise fares without risking customer loss. Many small operators, in particular, struggled to balance competitive pricing with escalating operational costs. The study also found that persistent price hikes often compelled businesses to reduce trip frequency, downsize fleets, or delay maintenance— all of which affected service quality and customer satisfaction. Despite these challenges, several operators adopted adaptive strategies such as route optimization, fuel-efficient vehicles, and cooperative purchasing to reduce expenses. Larger operators were generally better equipped to implement these innovations, while smaller enterprises remained more vulnerable. The research highlights the need for policy interventions—including targeted subsidies, incentives for adopting alternative energy sources, and infrastructure investment—to mitigate the impact of fuel price volatility and enhance the sustainability of the transport sector. Overall, this study contributes to transport economics by illustrating the intricate link between external economic factors and local business viability. It calls on policymakers to stabilize fuel pricing and strengthen support systems for transport operators. Ensuring a resilient and efficient transport network is vital not only for business profitability but also for sustaining economic growth and community connectivity within the Sinazongwe District. ▪ ISSN No: 2583-7397 ▪ Received: 01-08-2025 ▪ Accepted: 30-09-2025 ▪ Published: 16-10-2025 ▪ IJCRM:4(5); 2025: 344-357 ▪ ©2025, All Rights Reserved ▪ Plagiarism Checked: Yes ▪ Peer Review Process: Yes How to Cite this Article Barbra S, Simbanegavi K. An Assessment of the Impact of Fuel Price Fluctuations on the Profitability of the Road Transport Businesses: A Case Study of Sinazongwe District. Int J Contemp Res Multidiscip. 2025;4(5):344-357. Access this Article Online www.multiarticlesjournal.com KEYWORDS: Fuel Price Fluctuations, Profitability, Operational Costs, Transport Operators, Regulatory Frameworks Int. Jr. of Contemp. Res. in Multi. PEER-REVIEWED JOURNAL Volume 4 Issue 5 [SepOct] Year 2025 345 © 2025 Syakuba Barbra, Dr. Kudzai Simbanegavi. This is an open-access article distributed under the terms of the Creative Commons Attribution 4.0 International License (CC BY NC ND).https://creativecommons.org/licenses/by/4.0/ 1. INTRODUCTION The road transport sector is a cornerstone of Zambia’s economic development, particularly in regions like Sinazongwe District in the Southern Province. As an agricultural hub, the district’s economy relies heavily on efficient transport systems that connect producers to markets and consumers to essential goods and services. The profitability of road transport businesses therefore has far-reaching implications for local livelihoods and economic sustainability. Understanding how fuel price fluctuations influence this sector is critical to addressing the economic challenges faced by operators and stakeholders. Fuel price volatility has become a persistent challenge in Zambia, driven by multiple factors such as global oil price movements, exchange rate fluctuations, shifts in government policy, and broader regional economic dynamics. These fluctuations directly affect the operational costs of road transport businesses, shaping pricing strategies, competitiveness, and profitability. For operators in Sinazongwe—where thin profit margins and rural economic conditions prevail—fuel cost variations can determine business survival. As Pelekelo (2022) observes, rising fuel costs not only elevate fares but also suppress demand, creating a complex balance between affordability and financial viability. The socio-economic conditions in Sinazongwe further amplify the effects of fuel price fluctuations. The district’s largely rural and low-income population depends heavily on affordable transportation for mobility, trade, and access to services. When fuel prices rise, operators must either absorb the increased costs or pass them on to consumers—both of which reduce profitability. Businesses that raise fares risk losing passengers, while those that maintain stable fares face declining margins. In such a context, decision-making and adaptive strategies become essential for maintaining operational sustainability. Government policies on fuel pricing, subsidies, and taxation play a decisive role in this relationship. Zambia’s reliance on imported petroleum makes the national economy highly sensitive to global price shocks. Mulemi (2022) notes that Zambia imports approximately 94% of its petroleum needs, making it vulnerable to external fluctuations. While fuel subsidies have occasionally cushioned operators, inconsistent implementation has led to instability in pricing structures. According to Zimba (2023), such subsidies can temporarily relieve financial pressure but often distort market mechanisms and trigger price surges when removed. The effectiveness of government intervention thus remains central to the resilience of transport businesses in Sinazongwe. Competition within the road transport sector adds another layer of complexity. With numerous operators serving a limited market, price competition is fierce, often eroding profit margins. As Sichone (2022) explains, intense rivalry during periods of rising fuel prices forces operators to engage in fare reductions or price wars, compromising service quality and long-term profitability. In Sinazongwe, smaller operators are particularly disadvantaged, as they lack the financial buffer to absorb cost increases or invest in efficiency improvements. Technological and environmental considerations are increasingly influencing the economics of transport operations. Tawonezvi and Mwaba (2023) highlight the importance of adopting fuel-efficient vehicles and digital route optimization as strategies to mitigate rising costs. However, these solutions require capital investment that many small-scale operators cannot afford. At the same time, growing global emphasis on sustainability (Chanda, 2023) places pressure on transport operators to adopt greener practices. Fluctuating fuel prices can serve as a catalyst for innovation—encouraging businesses to seek alternative fuels, improve efficiency, and reduce their carbon footprint—but progress remains uneven across the sector. Behavioral and market responses also play a significant role. Consumers’ sensitivity to fare increases influences demand, particularly in low-income communities. Zuma (2022) notes that factors such as price perception, service reliability, and loyalty to particular transport providers shape how passengers respond to cost changes. Operators who understand and adapt to these behavioral dynamics—through flexible pricing or improved service delivery—can better sustain their profitability amid fluctuating costs. External economic conditions compound these challenges. Regional trade patterns, inflation rates, and exchange rate variations all interact with fuel prices to influence operational costs. Nkole (2023) emphasizes that such macroeconomic variables must be considered alongside local dynamics to fully understand transport profitability. Additionally, limited access to financing restricts the capacity of small operators to modernize fleets or adopt fuel-saving technologies. Microfinance, cooperative purchasing, and government-backed loans could play a role in strengthening resilience (Pelekelo, 2022). Infrastructure deficiencies further intensify the impact of fuel price volatility. Poor road conditions in Sinazongwe increase vehicle wear and fuel consumption, elevating costs by as much as 20% (Dahl, 2023). These inefficiencies hinder competitiveness and exacerbate the financial strain on operators already struggling with narrow profit margins. Investment in road infrastructure and transport facilities would therefore significantly improve efficiency and reduce the burden of fluctuating fuel prices. Training and capacity-building initiatives are equally important. As fuel prices rise, the need for operators to make informed financial and operational decisions becomes critical. Programs focused on cost management, energy efficiency, and maintenance practices can help small-scale businesses remain viable in volatile markets. Additionally, public awareness and consumer education about the factors driving fare changes could improve community understanding and reduce conflict between operators and passengers. Finally, analyzing the historical and policy context of fuel pricing in Zambia provides a foundation for anticipating future trends. Past fluctuations have demonstrated recurring patterns of instability that affect both operators and consumers. Understanding these historical Int. Jr. of Contemp. Res. in Multi. PEER-REVIEWED JOURNAL Volume 4 Issue 5 [SepOct] Year 2025 346 © 2025 Syakuba Barbra, Dr. Kudzai Simbanegavi. This is an open-access article distributed under the terms of the Creative Commons Attribution 4.0 International License (CC BY NC ND).https://creativecommons.org/licenses/by/4.0/ cycles can inform predictive models and strategic planning to enhance business resilience. 2. OBJECTIVES The primary objective of this study is to assess the impact of fuel price fluctuations on the profitability of road transport businesses in Sinazongwe District, Southern Province, Zambia. Specifically, it examines how variations in fuel costs affect operational expenses, transport fares, and consumer demand, while also exploring the influence of government policies and identifying strategies to enhance business resilience and profitability. The study is guided by key research questions: 1. How do fluctuations in fuel prices affect the operational costs of road transport businesses in Sinazongwe? 2. What fare adjustments do operators make in response to changing fuel prices? 3. How do these changes influence consumer demand for transport services? 4. What role do government policies and subsidies play in shaping the profitability of the transport sector? 5. Which strategies are most effective for mitigating the adverse effects of fuel price volatility? Significance of the study The significance of this study lies in its potential to deepen understanding of the economic pressures faced by transport operators in rural Zambia. Fuel represents one of the most critical cost components in road transport, and its price instability poses a serious threat to profitability and service continuity. By analyzing this relationship, the research contributes valuable insights to the field of transport economics and offers practical recommendations for improving financial sustainability in volatile markets. For policymakers, the findings highlight the need for consistent regulatory frameworks, targeted subsidies, and fuel pricing mechanisms that support both operators and consumers. At the same time, the study provides actionable knowledge for transport operators to develop adaptive strategies—such as efficient route management, cost control, and cooperative purchasing—to minimize the effects of fluctuating fuel prices. Moreover, the research underscores the importance of maintaining affordable and accessible transport services for rural communities that rely heavily on mobility for trade, education, and healthcare. Scope of the study The scope of the study is limited to road transport businesses operating within Sinazongwe District, representing both passenger and freight services. A mixed-methods approach is employed, combining quantitative data from financial records and fuel price trends with qualitative interviews and questionnaires. The study focuses on five years to capture relevant trends in pricing, profitability, and adaptation strategies. Additionally, it evaluates government policy frameworks that affect fuel pricing and transport operations. Through this focused and integrative analysis, the study aims to provide a comprehensive understanding of how fuel price fluctuations shape the operational and economic realities of the transport sector in Sinazongwe. 3. LITERATURE REVIEW The transport sector forms a vital link in economic systems, facilitating trade, mobility, and access to services. However, the profitability of road transport businesses is highly sensitive to fuel price fluctuations. In Zambia—particularly in Sinazongwe District—where transport is essential for rural livelihoods, volatility in fuel costs directly affects operating expenses and pricing decisions. This review synthesizes global, regional, and local research to illuminate how fuel price fluctuations influence transport profitability, emphasizing cost dynamics, policy frameworks, technological adaptation, and behavioral responses. Global Perspective Globally, research shows that fuel price changes have direct and multifaceted effects on transport profitability. The cost-push inflation theory (Daul, 2021) explains that rising fuel costs elevate operational expenses, forcing operators to increase fares or absorb losses. Harris and Phillips (2022) affirm that oil price shocks influence pricing across all transport segments, often leading to reduced demand. In developed economies, technological innovations such as fuel-efficient vehicles and route optimization software (Chang & Wang, 2022) mitigate cost pressures. However, in developing contexts—like Zambia—limited access to such technologies amplifies vulnerability. Demand elasticity is also a determining factor; Graham and Glaister (2023) found that inelastic demand in rural settings allows some fare adjustments without major ridership loss, whereas urban markets exhibit higher elasticity, constraining price increases (Khan & Ahmed, 2022). Competition further moderates profit outcomes. In highly competitive markets, operators struggle to raise fares despite rising costs (Small & Van Dender, 2022). Policy interventions such as subsidies and price controls can provide temporary relief but often distort markets (Meyer & Oum, 2023). Technological and environmental innovations have become pivotal. Studies (Schmidt & Jones, 2022; Dahl, 2023) show that hybrid fleets, route analytics, and sustainability initiatives can lower fuel use and enhance long-term profitability. However, barriers to adopting these innovations persist in lower-income regions. Behavioral economics adds another layer—consumer travel choices, shaped by perceptions of price and necessity (Chang & Wang, 2023), influence demand stability during fuel price surges. Regional Perspective (Africa) Across Africa, fuel price volatility is strongly tied to dependency on imported petroleum and currency fluctuations. Chikozho (2022) notes that global oil shocks disproportionately affect landlocked nations, including Zambia. The dual nature of Int. Jr. of Contemp. Res. in Multi. PEER-REVIEWED JOURNAL Volume 4 Issue 5 [SepOct] Year 2025 347 © 2025 Syakuba Barbra, Dr. Kudzai Simbanegavi. This is an open-access article distributed under the terms of the Creative Commons Attribution 4.0 International License (CC BY NC ND).https://creativecommons.org/licenses/by/4.0/ demand elasticity—inelastic in rural areas and elastic in cities— determines how cost changes affect profitability (Nuwamanya & Ng’walali, 2022). Intense competition among informal and formal operators in urban centers has led to price wars that reduce service quality (Amekudzi & Nkrumah, 2022). Meanwhile, infrastructure deficits raise fuel consumption by 15–25%, particularly in rural areas (Pelekelo, 2022). Government interventions, such as subsidies and price controls, have produced mixed outcomes across the continent (Kambwili, 2022), sometimes cushioning operators but creating fiscal strain and inefficiencies. Technological adoption remains uneven: GPS tracking and fleet management tools can reduce fuel use substantially (Nkole, 2023; Zulu, 2023), yet many small operators cannot afford them. Sustainability pressures are growing under frameworks like the African Union’s Agenda 2063, promoting green transport initiatives (Zimba, 2023). However, access to capital and infrastructure remains a bottleneck. Consumer sensitivity to fares (Chirwa, 2023) and regional geopolitical disruptions—such as supply chain shocks from oil-exporting nations (Mumba, 2022)—also influence fuel costs. Access to finance (Mubanga & Mulenga, 2023) and cooperative purchasing models can enhance resilience, while regional trade agreements under AfCFTA are reshaping transport demand and fuel consumption. Collaborative logistics or cooperative fuel purchasing (Chikozho, 2022) are emerging as strategies for cost efficiency. Informal operators, though flexible, remain highly vulnerable to price volatility (Oni & Ojo, 2023). Local Perspective (Zambia and Sinazongwe) Zambia’s dependence on fuel imports—approximately 94% of its petroleum (Daka, 2023)—makes it highly vulnerable to global oil price shifts. Rising fuel costs increase inflation (Lungwangwa, 2023), eroding consumer spending and demand for transport. Government fuel subsidies offer short-term relief but distort markets and create dependency (Kambwili, 2022). Intense competition among operators (Banda, 2022) and poor road infrastructure (Mumba, 2021) further compress profit margins. Rural dependency on transport in Sinazongwe, combined with low incomes, limits fare flexibility (Zulu, 2022). Demand remains relatively inelastic, but fare hikes can still restrict mobility (Chanda, 2023). Informal operators intensify competition by offering cheaper, flexible services (Phiri, 2023). Technology adoption remains limited but promising. Digital platforms and fuel-saving technologies (Zuma, 2022) can improve efficiency, yet financial constraints hinder uptake. Sustainability initiatives—such as cleaner fuels and ecofriendly vehicles—are gaining attention (Nkole, 2023) but require policy incentives. Consumer perceptions strongly influence loyalty; perceived fairness and service reliability often outweigh fare levels (Chanda, 2020). Risk management strategies, including fuel hedging and long-term supply contracts (Chanda, 2022), are largely underutilized due to limited expertise. Regional trade under SADC frameworks presents new opportunities but also demands cost management (Zuma, 2022). Socio-political stability and community participation influence policy outcomes. Political disruptions in fuel pricing (Pelekelo, 2020) and lack of community engagement (Daka, 2021) exacerbate uncertainty. Ultimately, a stable, efficient, and inclusive transport system is vital for rural economic resilience (Banda, 2021). Theoretical Framework This study draws on cost-push inflation theory, demand elasticity, and market competition models to explain profitability shifts in response to fuel volatility. Supporting theories include behavioral economics, risk management, and supply chain efficiency frameworks, highlighting how operators’ adaptive capacity and policy support shape resilience. Integrating these theories provides a holistic lens for examining how external fuel shocks cascade through operational costs, pricing behavior, and consumer demand in Sinazongwe. 4. METHODOLOGY AND DISCUSSION 4.1 Research Design A mixed-methods design was selected to explore both the measurable economic impact and the subjective experiences of transport operators. Quantitative analysis will involve the examination of numerical data such as operational costs, revenue, and profitability over time. Historical fuel price trends will be obtained from official sources, including the Ministry of Energy and local fuel suppliers. A stratified random sampling technique will ensure representation across different business types—small familyrun transporters, cooperatives, and commercial fleets. Quantitative data will be analyzed using descriptive and inferential statistics (mean, correlation, and regression analyses) to determine the extent of relationships between fuel price variations and profitability. The qualitative component will include semi-structured interviews and surveys with selected transport operators. These will capture personal experiences and adaptive strategies for managing cost pressures. A thematic analysis approach will be used to code and interpret these narratives, revealing recurring themes such as cost-control mechanisms, customer demand elasticity, and operational adjustments. Additionally, a policy analysis will examine the regulatory framework influencing fuel pricing and transport operations in Zambia. Reviewing government subsidies, tax regulations, and fuel control policies will help contextualize the microeconomic findings within macroeconomic structures. Ethical clearance will be obtained prior to data collection. Participants will be informed of the study’s purpose, their voluntary participation, and the confidentiality of their responses. Informed consent will be mandatory. The research will maintain neutrality, ensuring accuracy, respect, and transparency. 4.2 Population and Sampling The population comprises all active road transport businesses in Sinazongwe District, encompassing both licensed and informal operators engaged in passenger and freight services. This group Int. Jr. of Contemp. Res. in Multi. PEER-REVIEWED JOURNAL Volume 4 Issue 5 [SepOct] Year 2025 348 © 2025 Syakuba Barbra, Dr. Kudzai Simbanegavi. This is an open-access article distributed under the terms of the Creative Commons Attribution 4.0 International License (CC BY NC ND).https://creativecommons.org/licenses/by/4.0/ reflects the broader dynamics of Zambia’s rural transport economy, where small-scale operations dominate but are disproportionately affected by rising fuel costs. To ensure a representative sample, stratified sampling will be employed based on business type (passenger or freight), scale (small, cooperative, or commercial), and years of operation (minimum two years). This ensures participants have experienced multiple cycles of fuel price fluctuations. A sample size of 176 operators was determined from a population of 315 businesses using the Taro Yamane formula at a 95% confidence level and 5% margin of error. Simple random sampling will then be applied within each stratum to select participants. This approach ensures inclusion of diverse perspectives while minimizing sampling bias. 4.3 Sampling Area The research focuses on Sinazongwe District, a predominantly rural area where road transport is essential for mobility, trade, and access to services. The area’s economy relies heavily on agriculture, making transportation critical for moving goods and people. However, operators face challenges such as poor infrastructure, limited financing, and high operational costs. Fieldwork will cover major trading centers and surrounding villages where transport operations are concentrated. By examining both central and peripheral areas, the study will capture how varying levels of infrastructure development and demand affect operators’ resilience to fuel price changes. This localized focus provides valuable insights into rural transport economics, which are often underrepresented in national analyses but critical for understanding grassroots development. 4.4 Sources and Methods of Data Collection Data will be obtained from primary and secondary sources to ensure a comprehensive analysis. Primary Data: 1. Semi-structured interviews with selected transport owners and managers will elicit qualitative insights into the operational and strategic effects of fuel price volatility. 2. Structured questionnaires will be distributed to 176 respondents to collect quantitative data on costs, revenue, fare changes, and profit levels over the period 2022–2025. 3. Community surveys will capture consumer perspectives on fare adjustments and demand responses to rising transport costs. 4. Observation during site visits will record contextual details such as road quality, fuel availability, and vehicle conditions that influence fuel efficiency. Secondary Data 1. Government and institutional reports from the Ministry of Energy, Zambia Revenue Authority, and transport regulatory bodies. 2. Academic and industry literature on fuel pricing, transport economics, and market behavior. 3. Historical fuel price data and transport performance reports for contextual trend analysis. By combining these sources, the study will achieve triangulation—validating findings through cross-verification from multiple perspectives. 4.5 Tools for Data Collection To ensure reliability and structure, several tools will be employed: • Interview Guide: A semi-structured instrument focusing on operators’ experiences with price volatility, cost management, and fare-setting practices. • Structured Questionnaire: Designed for statistical analysis, including closed-ended questions on expenditure patterns, revenue, and fuel use. Piloting will ensure clarity and local relevance. • Observation Checklist: Used to assess infrastructure conditions, availability of alternative fuels, and maintenance practices. • Community Survey Form: Captures consumer responses to fare increases, emphasizing affordability and transport accessibility. • Digital Data Platforms: Tools like Google Forms and Excel will facilitate secure data recording and analysis. All tools will be reviewed for ethical compliance, ensuring participants’ anonymity, voluntary participation, and informed consent. Sensitive financial questions will be handled carefully to avoid discomfort or data distortion. 4.6 Tools for Data Analysis Both quantitative and qualitative analytical tools will be employed to interpret the data systematically. Quantitative Analysis: Data will be processed using SPSS or R software. • Descriptive statistics (mean, median, standard deviation) will summarize operational data. • Correlation and regression analyses will test the relationship between fuel price fluctuations and profitability, identifying key predictors of financial performance. • Comparative analysis across operator categories (small vs. large) will reveal differential impacts and resilience strategies. Qualitative Analysis: Data from interviews will be analyzed using thematic analysis through NVivo software. The process will include coding responses, identifying themes, and mapping recurring patterns. Themes may include cost-cutting measures, customer demand responses, or policy awareness. Triangulation will integrate quantitative and qualitative results, ensuring consistency and credibility across data types. Visual representations such as graphs, charts, and narrative excerpts will be used for clarity. Int. Jr. of Contemp. Res. in Multi. PEER-REVIEWED JOURNAL Volume 4 Issue 5 [SepOct] Year 2025 349 © 2025 Syakuba Barbra, Dr. Kudzai Simbanegavi. This is an open-access article distributed under the terms of the Creative Commons Attribution 4.0 International License (CC BY NC ND).https://creativecommons.org/licenses/by/4.0/ 4.7 Ethical Considerations Ethical integrity will guide all research activities. Participants will be fully informed about the study’s purpose, methods, and data use. • Informed consent will be secured in writing before participation. • Confidentiality will be strictly maintained; no identifying information will be disclosed. • Data will be securely stored and used only for academic purposes. • Participation will be voluntary, with the option to withdraw at any time without consequence. Respecting these ethical protocols ensures honesty and trust, which are crucial for reliable data and lasting researcherparticipant relationships. 4.8 Limitations of the Study Despite careful design, certain constraints may affect the study’s generalizability: 1. Self-reporting Bias: Responses from operators may be subjective, influenced by recall errors or social desirability. 2. Geographical Specificity: Focusing on Sinazongwe limits generalization to other districts with different economic or infrastructural conditions. 3. Data Collection Challenges: Rural remoteness and operators’ schedules may hinder participation, potentially reducing sample representation. 4. Historical Data Constraints: Incomplete or inconsistent records on fuel prices may limit the precision of long-term trend analysis. 5. Complex Economic Interactions: Profitability is influenced by multiple variables—competition, inflation, demand— which may obscure the isolated effects of fuel price changes. 6. Qualitative Scope: Individual interviews may not fully capture collective industry patterns. 7. External Shocks: Unforeseen events (economic crises or natural disasters) may affect fuel supply and distort findings. 8. Ethical Boundaries: Confidentiality may restrict probing sensitive topics like financial distress or informal practices. 5. PRESENTATION OF FINDINGS This paper presents the findings of the study on the impact of fuel price fluctuations on the profitability of road transport businesses in Sinazongwe district, Southern Province, Zambia. Fuel costs are a major operational expense, and understanding their effect on transport operators is crucial for both business and policy decisions. The findings integrate quantitative data from structured questionnaires and qualitative insights from semi-structured interviews, providing a comprehensive view of the issue. Quantitative data were collected from 176 transport operators, including managers, drivers, and staff across different divisions, with 130 completed questionnaires returned, representing a 74% response rate. Statistical analysis focused on how fuel price changes influence operational costs, fare adjustments, and profit margins, offering empirical evidence of the economic pressures faced by operators. Key metrics such as average operational costs, percentage change in fares, and profit margin variations were highlighted to illustrate the magnitude of the impact. Complementing this, qualitative insights were gathered through interviews with selected operators to capture personal experiences and strategies employed to cope with fuel price volatility. These narratives revealed the practical challenges in maintaining profitability, the decision-making adjustments, competitive pressures, and the emotional strain caused by fluctuating fuel costs. By contextualizing the numerical data, these qualitative findings enriched the understanding of operational realities and business sustainability. The findings have broader implications for policy and economic resilience in the transport sector. Fuel price changes not only affect individual operators but also influence local economies and public accessibility to transport services. By combining statistical trends with personal accounts, this chapter provides a multifaceted perspective on profitability challenges, offering insights for operators, policymakers, and researchers aiming to develop strategies that mitigate adverse effects and enhance the viability of road transport businesses in the Sinazongwe district. Table 1: Questionnaire return Variables Sampled Returned Percentage Respondents 176 130 74% Source: Formulated by Author (2025) Gender Distribution To assess the proportion of male and female respondents, the frequency of each gender was calculated. Table 2 gives a summary of the findings for respondents. The results below showed that women constituted 25%, translating to 33 out of 130, and the rest 97 were men, constituting (75%. The results indicate a significant gender imbalance in the study, with a higher proportion of male respondents compared to female respondents. This could be due to various factors such as the nature of the study, the population being studied, or the recruitment methods used. Understanding the reasons for this imbalance is crucial for ensuring the generalizability and validity of the study’s findings. Table 2: Gender of the Respondent Variables Frequency Percent Female 33 25% Male 97 75% Total 130 100% Source: Formulated by Author (2025) Position in the Business The respondents were asked to state their position in the business; Figure 1 gives a summary of the findings and it was revealed that 20 (15%) were managers, 53 (41%) were sales division, 30 (23%) supervisors, 10 (8%) were accounts division, Int. Jr. of Contemp. Res. in Multi. PEER-REVIEWED JOURNAL Volume 4 Issue 5 [SepOct] Year 2025 350 © 2025 Syakuba Barbra, Dr. Kudzai Simbanegavi. This is an open-access article distributed under the terms of the Creative Commons Attribution 4.0 International License (CC BY NC ND).https://creativecommons.org/licenses/by/4.0/ and 17 (13%) were drivers. The distribution of positions within the business, as outlined in Figure 1, provides valuable insights into the organizational structure and workforce composition. Understanding the roles and responsibilities of each group can help in assessing the efficiency and effectiveness of different departments within the company. Figure 1: Position in the Business Business experience The respondents were asked to state their business experience in years; Table 3 gives a summary of the findings. According to the findings of the study, businesses had different experiences, with the majority 68 (52%) having 6-10 years of business experience. The next big share had 1-5 years of business experience forming 35 (27%) and the least was 11 years and above business experience had 27 (21%). Overall, the findings suggest a diverse range of business experience levels among the respondents, with a majority falling in the moderate experience category. This diversity can provide valuable insights into the experiences and challenges faced by businesses at different stages of development, and can inform policies and strategies aimed at supporting business growth and success. Table 3: Business experience Variables Frequency Percent 1-5 years 35 27% 6-10 years 68 52% 11 years and above 27 21% Total 130 100% Source: Formulated by Author (2025) 5.1 Independent Variables 5.1.1 Awareness of the monthly adjustments of fuel prices Figure 2: Awareness of the monthly adjustments of fuel prices In Figure 2 above, respondents were asked if they aware of the monthly adjustments of fuel prices and the study established that 102 (79%) indicated Yes meaning they are aware of the monthly adjustments of fuel prices, 17 (13%) were not aware of the monthly adjustments of fuel prices and 11 (8%) were not sure of the monthly adjustments of fuel prices. This showed that some people did not care about the current affairs regarding fuel price fluctuations. In summary, while the majority of respondents are aware of the monthly adjustments of fuel prices, there remains a portion of the population that is either unaware or uncertain about these changes. This highlights the importance of continued efforts to ensure clear and accessible communication about fuel price fluctuations. Adjustments in fuel prices was as a result of Government’s removal of the fuel subsidy Participants were asked if they agree or disagree that the cause of the adjustments in fuel prices was as a result of Government’s removal of the fuel subsidy and the study discovered that 53 (41%) strongly Agreed, 33 (23%) agreed, 5 (4%) were neutral, 21 (16%) disagreed and 18 (14%) strongly disagreed. The findings suggest that a majority of the participants (64%) agreed with the notion that the changes in fuel prices were a direct result of the Government’s decision to remove the fuel subsidy. This indicates a general consensus among a significant portion of the respondents regarding the cause of the fuel price adjustments. Table 4: Adjustments in fuel prices were a result of the Government’s removal of the fuel subsidy Variables Adjustments in fuel prices were a result of the Government’s removal of the fuel subsidy Frequency Percentage Strongly Agree, 53 41% Agree 33 23% Neutral 5 4% Disagree 21 16% Strongly disagree 18 14% Total 130 100% Source: Formulated by Author (2025) The government is spending a lot of money to subsidies fuel prices Table 5: The Government spends a lot of money on subsidies for fuel prices Variables The government is spending a lot of money to subsidies for fuel prices Frequency Percentage Strongly Agree 20 15% Agree 23 18% Neutral 9 7% Disagree 41 32% Strongly disagree 37 28% Total 130 100% Respondents were asked if they agree or disagree that government used to spend a lot of money to subsidies fuel Int. Jr. of Contemp. Res. in Multi. PEER-REVIEWED JOURNAL Volume 4 Issue 5 [SepOct] Year 2025 351 © 2025 Syakuba Barbra, Dr. Kudzai Simbanegavi. This is an open-access article distributed under the terms of the Creative Commons Attribution 4.0 International License (CC BY NC ND).https://creativecommons.org/licenses/by/4.0/ prices, and the study revealed that 20 (15%) strongly agreed, 23 (18%) agreed, 9 (7%) were neutral, 41 (32%) disagreed, and 37 (28%) strongly disagreed. This suggests that there is a perception among the respondents that government spending on fuel price subsidies may not have been as significant as implied in the question. The demand for transport services with regard to charge prices and fuel adjustments for the period 2022-2024 in Sinazongwe District Participants were asked how the demand for transport services for 2024 was from January to December, and the study discovered that 68 (52%) indicated that it had increased, 42 (32%) said that it remained the same, and 20 (15%) indicated that it had decreased. The findings suggest a positive outlook for the transport business industry in 2024, with more than half of the participants noting an increase in demand. Figure 3: Demand for transport services for 2024 (January to December) The transport business is affected by the monthly adjustment of fuel at a higher price in 2024 Participants were asked the extent transport business was affected by the monthly adjustment of fuel at a higher price during 2024 and the study revealed that 32 (24%) said slightly positive, 43 (33%) said very positive, 22 (17%) said slightly negative, 18 (14%) said very negative and 15 (16%) no effect. Overall, results suggest that a significant portion of participants perceived a positive impact on transport services due to the monthly adjustments in fuel prices during 2024. However, there were also respondents who noted negative effects or no noticeable impact. This indicates a varied perception among participants regarding how the changes in fuel prices influenced the transport sector. Figure 4: Transport business affected by the monthly adjustment of fuel at a higher price during 2024 Months when the adjustment was favourable to the business Figure 5: Months during which the adjustment was favourable to the business In Figure 5 above, respondents were asked in which months the adjustment was favourable to the business between January to December 2024, and the study established that 47 (36%) said January to March, 29 (22%) said April to June. 35 (27%) said the business was favourable in July to September, and 19 (15%) said October to December. Overall, it can be inferred from the survey results that a considerable number of businesses felt that the adjustment was favourable at different times throughout the year, with a notable preference for the first quarter Months, the adjustment of fuel prices was unfavourable to the business (January to December 2024) Participants were asked to state the months the adjustment of fuel prices was unfavourable to the business from January to December 2024, and the study discovered that 24 (18%) said January to March, 36 (28%) said April to June, 42 (32%) said July to September, and 28 (22%) said October to December. The distribution of responses across different quarters provides valuable insights into how businesses perceive and are affected by changes in fuel prices throughout the year. It suggests that there might be seasonal variations or specific factors influencing how businesses adapt and respond to fluctuations in fuel costs. Table 6: Months the adjustment of fuel prices was unfavourable to the business (January to December 2024) Variables For months, the adjustment of fuel prices was unfavourable to the business (January to December 2024) Frequency Percentage January to March 24 18% April to June 36 28% July to September 42 32% October to December 28 22% Total 130 100% Source: Formulated by Author (2025) Impact of fuel prices on demand for transport business in the period 2022-2024, when fuel prices were stable and unchanged Int. Jr. of Contemp. Res. in Multi. PEER-REVIEWED JOURNAL Volume 4 Issue 5 [SepOct] Year 2025 352 © 2025 Syakuba Barbra, Dr. Kudzai Simbanegavi. This is an open-access article distributed under the terms of the Creative Commons Attribution 4.0 International License (CC BY NC ND).https://creativecommons.org/licenses/by/4.0/ Respondents were asked if there was any impact of fuel prices on demand for transport business in the period 2022-2024 when fuel prices were stable and unchanged, and the study established that 57 (44%) said moderate low, 43 (33%) said low, 17 (13%) said moderate high and 13 (10%) said high. The study’s findings suggest that the majority of respondents (77%) reported either a low or moderate low impact of fuel prices on the demand for transport business. Figure 6: Demand for transport business in the period 2022-2024 when fuel prices were stable and unchanged The period 2022-2024, demand for transport business in 2024 has (January to December). Participants were asked to compare the period from 2022 to 2024. The demand for the transport business in 2024 spanned from January to December, and the study revealed that 79 (61%) respondents reported an increase, 13 (10%) reported no change, and 38 (29%) reported a decrease. These results suggest a mixed scenario for the transport business industry in 2024, with a significant portion noting an increase in demand, while others experienced stability or growth. It highlights the dynamic nature of the sector and the importance of adapting to changing market conditions. Figure 7: The period 2022-2024, demand for transport business in 2024 has (January to December) The Extent transport business Operators make profitable sales to cover adjustments in fuel prices Performance of sales for 2024 (January to December) Figure 8: Performance of sales for 2024 (January to December) In Figure 8 above, participants were asked the performance of sales for 2024 from January to December and the study revealed that 81 (62%) said it had increased, 33 (25%) said it remained the same and 16 (12%) said it had decreased. This suggests that, on average, the group experienced an increase in sales during this time period The extent were the ticket sales influenced by the monthly adjustment of fuel prices Participants were asked the extent were the sales influenced by the monthly adjustment of fuel prices and the study established that 38 (29%) said slightly positive, 66 (51%) said very positive, 7 (5%) said no impact, 11 (8%) said slightly negative and 8 (6%) said very negative. This suggests that a substantial portion of participants believed that fluctuations in fuel prices had a positive impact on sales performance. Table 7: The extent to which the ticket sales were influenced by the monthly adjustment of fuel prices Variables The what extent were the ticket sales influenced by the monthly adjustment of fuel prices Frequency Percentage Slightly Positive 38 29% Very Positive 66 51% No impact 7 5% Slightly negative 11 8% Very negative 8 6% Total 130 100 Source: Formulated by Author (2025) The months the business had positive sales in 2024 (January to December) Respondents were asked which months the business had positive sales in 2024 from January to December and the study revealed that 55 (42%) indicated October to December, 37 (28%) indicated July to September, 23 (18%) stated April to June and 15 (12%) said January to March. The survey suggests that while there is some variation in sales performance throughout the year, a majority of businesses reported positive sales in at least one quarter of 2024.