Total Revenue Research Articles

Techno-economic analysis of cleaner alternatives for recovering ammonium chloride from wastewater generated by polyvinyl chloride thermal stabilizer plants

The current conventional process for recovering NH4Cl from wastewater generated by organotin mercaptide-based polyvinyl chloride thermal stabilizer plants through evaporative crystallization is energy intensive and has not yet been discussed. Three energy-saving process variants, namely mechanical vapor recompression (MVR), double-effect evaporation (DEE), and thermal vapor recompression (TVR) processes, have been proposed and evaluated in terms of both technical and economic feasibility, treating the case as a cost-cutting project aimed to avoid off-site wastewater treatment costs. Comparative evaluation has also been carried out with the conventional (CON) process used as a reference. Under the studied conditions, the MVR, DEE, and TVR processes provided energy savings in the ranges of 60%–76%, 35%–43%, and 26%–37%, respectively, confirming that applying the three alternative processes for recovering NH4Cl results in a significantly cleaner and more sustainable recovery process. Under typical conditions and with a plant capacity of 5000 kg/h, the MVR, DEE, and TVR processes required an additional investment of 2.3, 1.0, and 0.2 million USD, respectively, compared to the CON process. The revenue was primarily driven by cost savings due to the elimination of off-site wastewater treatment, which accounted for 86.9% of the total revenue. Sensitivity analysis showed that the off-site wastewater treatment cost was found to be the most influential factor on economic feasibility. When economic targets can be traded off, MVR process is highly recommended as an alternative to the conventional energy-intensive process. If economic feasibility comparable to the conventional process is still targeted, DEE and TVR are recommended. The results of this study dismiss concerns that cleaner processes would have a negative economic impact.

Profitability Analysis of Long Coriander Crop Share by Small-Scale Producers in Battambang, Cambodia

This paper is intended to introduce Long Coriander, the best-known leafy vegetable in Southeast Asia. It is a member of the Coriander family. It has a strong coriander scent and adds flavor to common ingredients in Central and Southeast Asian cuisine, particularly in soups, curries, and noodle dishes. Beyond its culinary uses, Long Coriander also has many benefits in medicine. To meet the criteria of this study, researchers seek to investigate the profitability of the Long Coriander crop for small-scale producers in Cambodia's Battambang Province. It weighs the revenue from producing Long Coriander against the costs of planting and harvesting its crop. The study also illustrates the estimated total revenue and costs for each planting. Producing Long Coriander may beneficially result in large sums of earnings for farmers, with a profit margin of approximately 57%. Furthermore, according to an economic efficiency (EE) analysis, the cost-to-revenue ratio is higher than 1. This proves that the total amount of revenue made from the sale of Long Coriander outweighs the costs of planting and harvesting, so small-scale producers are convincingly supposed to earn more money from this crop. This research study, through dedication and commitment, aims to address the profitability potential of Long Coriander production by integrating the fundamental economic analysis methods to gather rich data that may enhance and influence further agricultural research.

The Tumor Risk Score (TRS) – next level risk prediction in head and neck tumor surgery

PurposeHead and neck cancer surgery often requires postoperative monitoring in an intensive care unit (ICU) or intermediate care unit (IMC). With a variety of different risk scores, it is incumbent upon the investigator to plan a risk-adapted allocation of resources. Tumor surgery in the head and neck region itself offers a wide range of procedures in terms of resection extent and reconstruction methods, which can be stratified only vaguely by a cross-disciplinary score. Facing a variety of different risk scores we aimed to develop a new Tumor Risk Score (TRS) enabling anterograde preoperative risk evaluation, resource allocation and optimization of cost and outcome measurements in tumor surgery of the head and neck.MethodsA collective of 547 patients (2010–2021) with intraoral tumors was studied to develop the TRS by grading the preoperative tumor size and location as well as the invasiveness of the planned surgery by means of statistical modeling. Two postoperative complications were defined: (1) prolonged postoperative stay in IMC/ICU and (2) prolonged total length of stay (LOS). Each parameter was analyzed using TRS and all preoperative patient parameters (age, sex, preoperative hemoglobin, body-mass-index, preexisting medical conditions) using predictive modeling design. Established risk scores (Charlson Comorbidity Index (CCI), American Society of Anesthesiologists risk classification (ASA), Functional Comorbidity Index (FCI)) and Patient Clinical Complexity Level (PCCL) were used as benchmarks for model performance of the TRS.ResultsThe TRS is significantly correlated with surgery duration (p < 0.001) and LOS (p = 0.001). With every increase in TRS, LOS rises by 9.3% (95%CI 4.7–13.9; p < 0.001) or 1.9 days (95%CI 1.0-2.8; p < 0.001), respectively. For each increase in TRS, the LOS in IMC/ICU wards increases by 0.33 days (95%CI 0.12–0.54; p = 0.002), and the probability of an overall prolonged IMC/ICU stay increased by 32.3% per TRS class (p < 0.001). Exceeding the planned IMC/ICU LOS, overall LOS increased by 7.7 days (95%CI 5.35–10.08; p < 0.001) and increases the likelihood of also exceeding the upper limit LOS by 70.1% (95%CI 1.02–2.85; p = 0.041). In terms of predictive power of a prolonged IMC/ICU stay, the TRS performs better than previously established risk scores such as ASA or CCI (p = 0.031).ConclusionThe lack of a standardized needs assessment can lead to both under- and overutilization of the IMC/ICU and therefore increased costs and losses in total revenue. Our index helps to stratify the risk of a prolonged IMC/ICU stay preoperatively and to adjust resource allocation in major head and neck tumor surgery.

Real-time Multi-platform Route Planning in ridesharing

The increasing availability of mobile Internet and portable devices has led to the popularity of spatial crowdsourcing recently. The significant burgeoning of ridesharing services in spatial crowdsourcing has transformed urban mobility. However, due to the imbalance between supply and demand, some requests may be rejected or workers may keep idle for a long time. Fortunately, sharing tasks and workers across multiple platforms in a collaborative manner can diminish the negative effects of non-uniform distribution. In this paper, we propose a Multi-platform Route Planning in ridesharing problem (MPRP), which integrates route planning and task assignment in spatial crowdsourcing. We study how to improve the total revenue of platforms through coordination with multiple ridesharing platforms. To solve the problem, we propose the Greedy Multi-platform Route Planning algorithm (G-MPRP), which extends the dynamic programming insertion operation and assigns workers in a greedy manner. To overcome the shortcoming of G-MPRP, we further propose the Pack-based Multi-platform Route Planning algorithm (P-MPRP), which packs requests through a ranking-based function. Extensive experimental results shows the proposed algorithms can improve the revenues significantly.

Optimization configuration strategy for regional energy systems based on multiple uncertainties and demand response

With the opening of the power market and the development of the energy Internet, the optimal allocation of regional energy systems has become the key to achieving energy efficiency and economic balance. The article studies how to achieve this balance by optimizing the allocation of regional energy systems under the influence of price fluctuations and load demand uncertainty in the electricity market. This study introduces a real-time electricity price adjustment mechanism to stimulate user participation in energy adjustments and improve energy utilization efficiency. By constructing an optimization model based on multiple uncertainties and comprehensive demand response, uncertainty factors such as energy market price fluctuations and climate change were considered, and user demand response was integrated. The research results indicate that electricity price fluctuations have a significant impact on system operation, while CSP power plant thermal storage fluctuations have a relatively small impact. After the introduction of demand response, the electricity load can be reduced to zero during specific periods, and the adjustment of electricity prices stimulates user participation and improves the consumption rate of renewable energy. The total revenue of the system increased by 54.147 million yuan, demonstrating the potential of optimized configuration in reducing costs and improving efficiency. This study provides important references for building more efficient and sustainable energy systems.

The impact of business model innovation and knowledge management on firm performance: an emerging markets perspective

PurposeDespite the growing literature on business model innovation (BMI) and its implications for firm performance, the research on the antecedents of BMI is still at a budding stage. Therefore, the purpose of this paper is to bridge this gap by examining the causal relationships between knowledge management, BMI, competitive advantage, and firm performance.Design/methodology/approachA purposive sample of 300 micro, small, and medium enterprises was collected with more than 500 employees and total revenue between 50 and 500 million Indian Rupees, according to the Development Act, 2005. The collected data were analyzed using structural equation modeling through smart PLS 3.FindingsThe study’s findings show that knowledge management significantly influences BMI. This study also highlights the synergic impact of Knowledge management and BMI on firm performance. Furthermore, findings highlight the mediating role of competitive advantage in the relationship between knowledge management, BMI, and firm performance.Practical implicationsUnderstanding the impact of BMI and knowledge management is crucial for business owners, managers, and other stakeholders to plan for the continuous improvement of their businesses. Managers can secure a favorable position in the competitive market and improve organizational performance by paying attention to effectively managing their knowledge resources.Originality/valueThe study is one of the first few empirical efforts to investigate the causal relationships between knowledge management, BMI and firm performance. The study adds to the scant literature in this area by highlighting the mediating role of competitive advantage.

Crop rotation as an economic strategy for small-scale farmers: evidence from Punjab, Pakistan

This study examined the economic feasibility of crop rotation as a farming technique for small-scale farmers in Punjab, Pakistan, in 2022. Employing a mixed-methods approach, the study integrated qualitative and quantitative data to comprehensively assess the financial impact of crop rotation. The research focused on two key regions in Punjab renowned for small-scale farming: Sargodha and Chakwal. These areas were selected due to their prevalent small-scale farming practices and diverse agricultural methods. The study included a control group of farms that did not practice crop rotation, alongside farms actively implementing this technique. Through surveys of farm owners, input costs (such as seeds, fertilizers, and labor), market prices, crop yields, and total farm revenues were quantified over a three-year period. Soil health indicators were evaluated through soil sample analyses. Qualitative insights into farmers' perspectives on the benefits, challenges, and financial decision-making processes related to crop-rotation were gathered via in-depth interviews and regional focus groups. The findings from 2022 demonstrated advantages for farms practicing crop-rotation, evidenced by consistently higher yields and reduced seed costs. These farms also reported significantly greater profitability. The qualitative analysis highlighted local dynamics influencing the adoption of crop rotation. The study underscored the need to address challenges such as weather fluctuations and market conditions. The insights from this 2022 research can greatly benefit policymakers and agricultural practitioners in promoting sustainable farming practices among small-scale farmers in Punjab, Pakistan. Crop rotation emerges as a strategy capable of enhancing agricultural productivity and bolstering the financial resilience of small-scale farming communities.

An Empirical Study on Taxation and Revenue Generation in Nepal

This study investigates the impact of taxation on revenue generation in Nepal. It further aims to elucidate the theoretical underpinnings of taxation, including its objectives, classification, and key components within the Nepalese context. Employing both primary and secondary data sources, the research analyzes and evaluates the relationship between taxation and revenue generation. The secondary data were taken from the Economic Survey Report of the Government of Nepal and 200 eligible primary responses taken from tax administrators and tax payers respectively. The findings demonstrate a significant influence of taxation on Nepal's Gross Domestic Product (GDP) and total revenue. Additionally, the study sheds light on the negative impact of tax evasion and avoidance on revenue generation. To address these issues, the research recommends the implementation of stricter penalties for tax evasion and avoidance, along with the establishment of a comprehensive taxpayer database across federal, state, and local government levels. This database would facilitate the identification of all potential taxable income sources, thereby enhancing tax compliance.

Battery Scheduling Optimization and Potential Revenue for Residential Storage Price Arbitrage

Residential energy storage systems offer significant potential for price arbitrage by capitalizing on fluctuations in electricity prices throughout the day. This study investigates the potential revenue from optimal battery scheduling for residential storage in different north-western European electricity price zones during 2023. Using Nord Pool day-ahead prices, we applied an optimization model to determine the revenue for two types of batteries: 5 kW/10 kWh and 10 kW/10 kWh. The analysis considered battery capacity, charging and discharging efficiency, and maximum charge/discharge rates. Our results show notable variations in potential revenue across different regions, with the Baltic states demonstrating the highest revenue potential. The findings indicate that while 10 kW batteries can generate higher total revenue, 5 kW batteries are more efficient in terms of revenue per cycle. These regional disparities underscore the need for targeted incentives and policies to enhance the economic viability of residential energy storage. The research results provide valuable insights into optimizing residential battery storage for price arbitrage, offering guidance for consumers, policymakers, and energy providers to maximize economic benefits in various electricity markets.

Regulatory decentralization and food safety: evidence from China

AbstractIt is not clear, a priori, whether a centralized or decentralized institutional arrangement is better at providing public goods. This study investigates how decentralization of regulatory authority affects public good provision, focusing on food safety. Using a natural experiment that transfers food safety regulatory authority over the food processing and manufacturing sector from provincial to city‐level governments, we find a 51% decrease in the average number of food safety incidents within cities that experienced the decentralization reform. Decentralization reduces food safety incidents by rectifying information asymmetry in food safety regulations and by increasing local food safety laws and regulations. Additional analyses show that decentralization primarily improves the food safety of larger and more experienced firms, and it has not harmed the total revenue of large‐scale food processing and manufacturing firms. Our study demonstrates the importance of information available to regulatory authorities in food safety regulation and highlights the role of local information in the decentralized provision of public goods.

Impact of Tax Revenue on Income Inequality and Poverty in Nigeria

This study is on the impact of tax revenue on income inequality and poverty in Nigeria from 1995 to 2022, variables used are total tax revenue as the independent variable, poverty rate and income inequality proxy by Gini coefficient as dependent variables. Multiple taxation, corruption, value added tax, policy failures and inefficient fiscal operations are identified by this study as contributive factors to income inequality and poverty in Nigeria. The findings revealed that the relationship between total tax revenue and poverty rate is positive (as against apriori expectations). The estimated results are R2 at 0.626243 and adjusted R2 0.588253 which are the coefficient of determination or explainability of the independent variable (TTR) for the dependent variable (GIN), 63% of the changes in the dependent variable (GIN) is caused by changes in (TTR). The study concluded that tax revenue has a significant positive impact on poverty rate and income inequality in Nigeria. Major recommendations are that the Ministry of Finance, the Federal Inland Revenue Service (FIRS) the state board of Internal Revenue Service, the Joint Tax Board (JTB) should improve the dividend of taxation through accountability, transparency, better revenue generation and tax revenue expenditure on infrastructure and basic services.

Effect of Federal Government Tax and Non-Tax Revenue on Economic Growth in Nigeria

The objective of this study was to analyse the influence of tax and non-tax revenue generated by the federal government on the economic growth of Nigeria. The study utilised an ex post facto approach and specifically examined the Nigerian economy as a whole, resulting in a population and sample size of one. Data was collected from secondary sources, including the yearly reports and statistics releases of the CBN and the office of the Federal Inland Revenue Service (FIRS). The study spanned a decade, specifically from 2001 to 2020. The hypotheses were tested using simple linear regression for data analysis. The regression study revealed a substantial influence of federal government tax income on economic growth. The F-statistic yielded a value of 466.0399, the P-Value was determined to be 0.000, and the R-squared value was calculated as 0.962813. These results indicate that about 96.28% of the variability in real GDP can be accounted for by tax revenue. Similarly, the analysis demonstrated a substantial impact of non-tax revenue from the federal government on the growth of the economy. The F-statistic yielded a value of 201.5388, the P-Value was found to be 0.000, and the R-squared value was determined to be 0.918010. These results indicate that about 91.80% of the variance in real GDP can be accounted for by non-tax revenue. Moreover, the economic growth was significantly influenced by the overall revenue of the federal government. The F-statistic yielded a value of 469.5482, indicating a strong statistical significance. The P-value was 0.000, further confirming the significance of the results. The R-squared value was 0.963081, indicating that approximately 96.31% of the fluctuation in real GDP can be accounted for by total tax revenue. These findings emphasise the essential importance of both tax and non-tax revenue, namely from the federal government, in stimulating economic growth. In order to increase revenue generation, it is crucial for the government to give priority to enhancing tax administration and compliance. This can be accomplished by implementing efficient tax regulations, streamlining tax procedures, and establishing strong monitoring and enforcement measures. Furthermore, it is advisable to diversify non-tax revenue streams beyond oil.

Determinants of Financial Shortfalls in State-Owned Railway Systems: An Ardl Approach for Sri Lanka Railways

Sri Lanka Railways (SLR) has been experiencing a financial shortfall since the 1940s, characterised by operational expenditure exceeding total revenue. This study aimed to identify the critical determinants of the financial shortfall of Sri Lanka Railways (SLR) using an econometric approach. Employing a quantitative methodology, the study utilised secondary and manipulated data from 1977 to 2022 to examine the effects of four key variables: revenue shortfall from fare revisions (FRFR), subsidised season tickets (FRSS), freight transport volume (FTK), and total wage bill (WB), incorporating the general price level (CCPI) to account for inflation. The regression analysis, using the Auto Regressive Distributed Lag Model, identified a short-run relationship between the financial shortfall (LFS) and lagged variables, including the volume of rail freight transport (LFTK), total employee wage bill (LWB), and the general price level (LCCPI). A long-run relationship was found among revenue shortfall from fare revisions (LFRFR), LWB, LCCPI, and LFS. The findings highlight the significant impact of aligning railway fares with bus fares and managing employee expenses on SLR's financial shortfall. Additionally, the revenue shortfall from subsidised season tickets showed a significant relationship at a 10% significance level, both short-term and long-term. The study underscores the necessity of revising railway fares in line with bus fares to enhance revenue and ensure financial sustainability. Optimising employee-related costs through effective management and reviewing the subsidy structure for season tickets are also recommended. Furthermore, investment in capacity and facility development for freight transport is crucial for mitigating long-term financial shortfalls.

Commodity Price and Indonesian Fiscal Policy: An SVAR Analysis with Non-Gaussian Errors

Abstract This study exploits the non-Gaussianity for identification of a Bayesian SVAR model on newly unexplored monthly Indonesian data from 2007M1–2022M12, where we disentangle the commodity-related revenue from the total government revenues. Our main contribution is in labeling the statistically identified structural shocks as economic shocks by conducting a formal assessment of a set of proposed sign constraints. We simultaneously label a commodity price and three fiscal policy shocks, i.e. fiscal income tax, investment-spending, and consumption-spending shocks. Having evaluated their impacts, among the fiscal policy shocks, we find income tax shock the most impactful on output. Moreover, during the Covid crisis 2020–2021, the launched fiscal economic stimulus package (PEN program) positively contributed to the output. The recession of the Covid crisis could have deepened had the fiscal policymaker not responded at all. Albeit so, we should not overlook the contribution of the rising commodity prices to the output recovery. We also evaluate the commodity boom period in 2007–2009, the tax amnesty program in 2016–2017 and 2022, and the infrastructure spending boost in 2015. Our results suggest that output and retail sales would have been lower without the commodity price shock’s contribution during the commodity boom. Then, we find that tax amnesty and infrastructure spending boost policies contribute to higher retail sales.

Innovation activity of the largest companies in the high-tech sector

Aim. To analyze the specific features of innovation activity of the largest transnational companies of the high-tech sector in order to identify general trends and assess their efficiency.Objectives. To study the expenditures on innovation in Alphabet, Apple, Microsoft and Amazon; to determine the ratio of expenditures on research and development (R&amp;D) to total revenue and the share of innovation in total expenditures; to examine the market capitalization and the share of private investors in the ownership of shares of these companies; to analyze the share of intangible assets in total assets; to assess the intensity of innovation activity by the number of issued patents; to identify the general characteristics of innovative companies-leaders of the high-tech sectorMethods. This study utilizes financial indicators, statistical data and data on patent activity of Alphabet, Apple, Microsoft Corporation and Amazon.Results. The largest high-tech companies achieve improved innovation performance through a combination of understanding customer needs, active participation of management in the research and development program, and the creation of unique products and services based on new technologies. Financial success depends on successfully utilizing existing intellectual resources, creating long-term customer relationships, and fostering the development of human capital within companies. Companies that focus on customer satisfaction and continuously stimulate employee development demonstrate higher innovation performance and ensure commercial success in the market.Conclusions. The comparative analysis of the indicators of the largest transnational companies in the high-tech sector allows us to assess the efficiency of innovation activity, as well as to identify the key factors contributing to their sustainable development in a highly competitive market.

Analysis Of Fixed Mobile Convergence (FMC) Product Launch On Telecommunication Stock Returns In Indonesia

This research evaluates the possibility of a Fixed-Mobile Convergence (FMC) strategy in the telecommunications sector, particularly in light of the significant increase in data consumption globally. Based on a report from Ericsson Mobility and market analysis, FMC services are expected to contribute around 10-20% to the total revenue of telecommunications companies. The success of this strategy in Western Europe and the vast potential in the Asia Pacific region, including Indonesia, confirm this. This study is conducted using a comparative descriptive method on the stock returns of FMC players in Indonesia, thus aiming to prove whether FMC events can affect the dynamics of the telecommunications market in Indonesia and enrich investors' understanding of the potential of FMC on the financial performance of telecommunications companies, this can subsequently be manifested in the market's stock performance of telecoms business. The importance of analyzing changes in stock returns for investors of FMC operators in Indonesia, such as XL, SmartFren, and Telkomsel, both before and after the launch of FMC products, is a particular focus. In this case, the paired t-test and Wilcoxon Signed Rank Test methods assess significant differences between the means of two paired samples. The findings of this study offer practical guidance for investors looking at FMC strategies as information for making more informed investment decisions and improving their portfolio performance.

Management and Business Analysis of Common Carp (Cyprinus carpio) at the Aquaculture Installation (IPB) Pandaan

The growing global population increases the demand for protein, making the aquaculture and fisheries industries vital. This study aims to optimize goldfish hatchery management at the IPB Pandaan, East Java, to improve production and seed quality. The research was conducted in January-February 2024 at the IPB Pandaan Fisheries Breeding Installation, using observation and interview methods. Primary data were obtained from interviews with business actors and stakeholders, while secondary data were from literature studies. Data analysis includes production management, water quality, feed, and financial evaluations such as R/C Ratio, BEP, and PP to assess performance and potential efficiency improvements in the goldfish hatchery business. Goldfish hatchery management at IPB Pandaan includes pond preparation, broodstock selection, spawning with temperature and water quality control, egg hatching, feeding, nursery, and seed harvesting. Water quality is maintained with temperatures of 23.9-30.5 ºC, pH 7.3-8.9, and DO 3.2-6.3 ppm. Total investment is Rp 37,500,000, with fixed monthly costs of Rp 3,335,414 and operational costs of Rp 500,000. The total revenue is Rp 7,784,000, and the profit is Rp 3,752,752. An R/C Ratio of 1.93 indicates a profitable business, with a payback period of 16.39 months and a BEP production price of Rp 14,497 per cup.

Quantifying Fiscal Multipliers in South Africa: A Structural Var Approach

Fiscal multipliers have deteriorated in South Africa since the global financial crisis in 2008 and 2009. Weakening fiscal multipliers to a record low of zero has constrained the government’s ability to use fiscal policy measures to stimulate the economy, particularly in the aftermath of the COVID-19 pandemic and recent geopolitical risks affecting the global economy. The current paper quantifies fiscal multipliers in South Africa. The study employed the structural vector autoregressive to quantify government spending and government tax revenue fiscal multipliers in South Africa over the period 2000M01–2023M10. The control variables for the study are government total spending, total government tax revenue, and the production index as a proxy variable for economic activity. This is the first study to employ high-frequency monthly data, which increases the number of observations, thus yielding significant and robust results. The accumulated government expenditure and government tax revenue multipliers are 0.4 and 0.1, respectively. The empirical results are consistent with the Keynesian view that government spending, particularly investment spending, fosters economic growth. Structural reforms in logistics, the energy sector, and education to boost economic growth and improve fiscal multipliers that are currently less than one in South Africa must be adopted as a policy response.

COMPOSITION AND TRENDS IN TAX REVENUE OF GOVERNMENT OF INDIA SINCE 1990s

India is one of the fastest growing economy in the world. It is also a mixed economy; which means both capital sector and government sector works for the development of the country. The main objective of the study is to analyse the composition and trends in revenue receipts of Government of India. The present study is based on secondary data, the time series data was taken from handbook of statistic published by Reserve Bank of India. As the economy progresses the activities of the Government sector also increases, which is evident from the present study. The Study shows that, composition of major taxes to tax revenue of Government of India in 2021-22, The Goods and Service Tax contributes highest to the total tax revenue followed by income tax other than corporation tax, corporation tax, union excise duties custom duty and service tax. KEYWORDS: Total Revenue, Total Expenditure, Tax Revenue, Direct Tax, Indirect Tax

PROFITABILITY OF BATTERY CAGE BROILER PRODUCTION SYSTEMS IN UYO METROPOLIS, AKWA IBOM STATE, NIGERIA

The study assessed the profitability of battery cage broiler production systems in Uyo, Metropolis, Akwa Ibom State. Simple random sampling technique was used in selecting 100 poultry (broiler) farmers for this study. The data collected were cross-sectional data. Descriptive statistic was used to analysed the data. The findings depicted that majority (54%}) of the battery cage broiler producers were male. Also, the total cost, total revenue, gross margin and net farm income were N495469.46, N829,293.34, N335,459.88 and N 333,823.88 respectively. Feed cost representing 80.75% of total cost of broilers production. Despite the high feeds cost, battery cage system of broilers production is a worthwhile venture as depicted by profit of N333,823.88. The return on a naira invested was 0.674 meaning that for every N1 invested 67.4k was return as profit. Feeds cost and lack of funds were the primary determinants of profitability of battery cage broiler production systems. It is recommended that there should be subsidy on feed cost by the government and provision of credit facilities to farmers for increased productivity resulting profit maximisation.