Economically Research Articles

Environmental and Economic Analysis of High-Current Stacked HTS Cables by Gap Optimization

Environmental and Economic Analysis of High-Current Stacked HTS Cables by Gap Optimization

Preliminary investigation on spent garnet as a novel supplementary cementitious material

The escalating global demand for cement, a fundamental material in infrastructure development, has exacerbated environmental challenges, particularly through significant carbon dioxide (CO₂) emissions, which account for approximately 8.3 % of global anthropogenic CO₂ output. This research explores the potential of spent garnet powder, a byproduct of abrasive water jet machining, as a sustainable supplementary cementitious material (SCM) to mitigate these impacts. The spent garnet powder, characterized by a high concentration of silicon dioxide (SiO₂), aluminum oxide (Al₂O₃), and iron oxide (Fe₂O₃), was subjected to rigorous analysis. X-ray Fluorescence (XRF) confirmed its chemical suitability for pozzolanic applications, while laser particle size analysis revealed a finer granulometry relative to Ordinary Portland Cement (OPC), which is advantageous for enhancing pozzolanic reactivity. Scanning Electron Microscopy (SEM) demonstrated the angular and irregular morphology of the garnet particles, which is conducive to improved interfacial bonding within the cement matrix. X-ray Diffraction (XRD) identified active mineral phases that are critical for promoting pozzolanic reactions, and Thermogravimetric Analysis (TGA) demonstrated the material’s superior thermal stability, with minimal decomposition at elevated temperatures. Fourier Transform Infrared Spectroscopy (FTIR) identified strong silicon-oxygen (Si-O) and aluminum-oxygen (Al-O) bond structures, indicative of robust pozzolanic potential. The Strength Activity Index (SAI) and Frattini tests further substantiated the pozzolanic activity, revealing that a 10 % replacement of OPC with SGP not only enhances compressive strength but also meets the stringent requirements of ASTM C618. Additionally, the economic analysis underscores the cost-effectiveness of utilizing spent garnet powder, presenting a viable strategy for reducing both production costs and CO₂ emissions in the cement industry. This study conclusively positions spent garnet powder as a highly promising supplementary cementitious material, with significant implications for advancing sustainable construction practices and reducing the environmental footprint of cement production.

Integration of renewable energy-powered cold storage solutions for reducing post-harvest food waste in rural agricultural areas

Post-harvest food loss remains a critical challenge in rural agricultural areas, exacerbated by inadequate storage facilities and unreliable energy access. This study develops and optimizes an advanced renewable energy-powered cold storage system tailored for rural settings, integrating solar and wind energy with phase change materials (PCMs) for efficient energy storage. The system incorporates Internet of Things (IoT)-based sensors and artificial intelligence (AI)-driven energy management to maintain optimal storage conditions and enhance energy efficiency. Field trials conducted in Lincolnshire, UK, and Appalachian regions of the US demonstrated significant reductions in post-harvest food loss by an average of 43.5%, extensions in produce shelf-life by up to 300%, and increased income for smallholder farmers by approximately 43%. The system also achieved an 80% reduction in greenhouse gas emissions compared to conventional diesel-powered systems. Economic analyses revealed a shorter payback period and higher return on investment, confirming the system's viability. High user satisfaction and adoption rates indicate the system's practicality and potential for widespread implementation. The findings suggest that integrating renewable energy with smart technologies in cold storage solutions offers a scalable and sustainable approach to enhancing food security, promoting economic growth in rural areas, and supporting environmental objectives globally.

The Application of Derivatives in Enhancing Economic Decision-Making

This paper explores the specific application of derivatives in economic analysis, aiming to provide an effective mathematical tool for economic analysis to improve decision-making efficiency and accuracy. Through two specific cases - the profit maximization problem of fast-moving consumer goods companies and the profit maximization problem of retail enterprises, it can be demonstrated how to use derivatives to solve and analyze economic models, and then propose corresponding optimization suggestions. In addition, through detailed mathematical derivation and data analysis, how derivatives can help enterprises optimize decision-making and improve economic efficiency was analyzed. Research has shown that derivatives, as an important tool in economic analysis, can effectively enhance the scientifically and accuracy of decision-making.

Enhancing Aquaculture Productivity through Integrated Farming Systems: A Comparative Study of Fish-Pig and Fish-Duck Systems

Integrated farming systems involving fish-animal are of high relevance in current scenario. Studies like this asses the suitability of such systems in improving the aquaculture productivity and overall benefits to the ecosystem. It plays a crucial role in optimizing the use of small water resources in rural areas to enhance animal production. Given the potential of pig and duck manure as nutrient inputs in fish culture, a grow-out trial was conducted in a 0.1 ha earthen pond located in Elangitampatty, Kezhisenkattupatti, and Asakkattuppatti villages of Kollihills Taluk in Namakkal district, Tamil Nadu. The pond was stocked with four carp species: Catla, Rohu, Mrigal, and Grass carp in a ratio of 40:20:30:10 at a density of 7500 fish per hectare. Three treatments were employed: (1) Control (T0), where fish were fed with commercial feed, (2) Integrated fish-duck farming (T1), and (3) Integrated pig-fish farming (T2). In the control group (T0), fish were fed commercial fish feed (24% crude protein, 4 mm pellet size) at 4% of body weight, while in T1 and T2, fish received 50% of the commercial feed and were supplemented with duck and pig excreta, respectively. After an 8-month grow-out period, fish weights and total production in each group were recorded. Water quality parameters, such as pH, dissolved oxygen, free carbon dioxide, alkalinity, and hardness, were measured using standard methods (APHA, 2019). Results showed that pond fertilization with pig and duck excreta promoted the growth of algae, phytoplankton, and zooplankton, providing a natural food source for the fish. Total fish production was highest in the fish-pig integration system (T2), with a recorded yield of 4960.09 kg. Catla (Catla catla) had the highest individual species yield, with a total harvested weight of 2225.98 kg, followed by Grass carp (Ctenopharyngodon idella) at 1490.37 kg. The final average weight of Grass carp in T0, T1, and T2 was 1047 ± 13.27 g, 1151.10 ± 12.85 g, and 1490.37 ± 13.52 g, respectively. For Catla, the final average weight in T0, T1, and T2 was 910 ± 9.45 g, 960 ± 10.26 g, and 980 ± 12.20 g, respectively. Similarly, Rohu in T0, T1, and T2 weighed 850 ± 7.98 g, 900 ± 11.23 g, and 910 ± 11.16 g, respectively, while Mrigal in T0, T1, and T2 weighed 600 ± 6.04 g, 720 ± 8.50 g, and 730 ± 10.56 g, respectively. The results highlight that the fish-pig system outperformed the fish-duck system in terms of fish productivity, which may be due to the better nutrient composition in pig manure and the genetic potential of the fish species. An economic analysis revealed that the fish-pig integration system generated the highest net income (Rs. 555,353.90) and benefit-cost ratio (2.12), indicating that integrated fish-pig farming is more profitable than both fish-duck farming and the control group without integration.

6.P. Scientific session: Economic evaluation of health impacts for better decision choices

Abstract The strategy of Health in All Policies (HiAP) pursues to analyse the wider determinants of health affected by the decision-making process of traditionally non-health sectors, seeking to enhance population health benefits while avoiding health inequalities. This usually involves the use of health impact assessment (HIA) or health lens analysis to any policy, program, plan or project (PPPP), preferably prior to its implementation. On the other hand, decision-makers from a wide range of public and private sectors also demand a better insight of the meaning of the health impacts quantified under HIA. Assuming the (ubiquitous) situation of limited resources and budgets, decisions need to be based on cost effectiveness criteria and, whenever possible, direct and indirect health costs should be part of the impact assessment. Economic appraisal attempts to define whether a proposal makes a net contribution to social welfare, quantifying and valuing changes to individuals’ utility from the societal perspective, taking into account the impact of health on the individual, their family, employers, healthcare providers and the state. This approach can incorporate different components of the welfare costs of illness, including direct medical and paid care expenses, indirect lost opportunity costs such as productivity and the value of informal care time, as well as a value that monetises the disutility or pain and suffering associated with disease. The range of methods and estimated benefits can make it challenging to identify a best practice approach. The present session aims to address certain methodological aspects related to the economic evaluation of health impacts, which still generate some controversy and debate, with particular emphasis on the following topics: • Approaches for synthesizing evidence on health impact pathways and economic evaluation of health impacts for a better decision choice; • Health metrics: influence on the conclusions of economic analysis within HIA; • Sources of metrics used for economic analysis; • Uncertainties inherent to economic valuation of health outcomes: how to deal with it. Key messages • The economic analysis of health impacts can help prioritizing aspects with the greatest impact on population health, facilitating a more effective use of human and economic resources. • The economic analysis within HIA can improve decision-making but requires careful consideration of health metrics, sourcing of data, and management of uncertainties.

Cost-benefit analysis: just a step in the HIA process

Abstract The economic analysis within Health Impact Assessments (HIA) is a critical component in informing public policy decisions by assessing the financial implications of health outcomes associated with the different intervention options. Health metrics play a role defining the cost-effectiveness and societal value associated with the interventions. These metrics, quantifying the health impacts, include quality-adjusted life years (QALYs), years of life lost (YLLs) or disability-adjusted life years (DALYs). On another level, such metrics need to be translated into cost-effectiveness and societal value in which other methods play a role, such as the value of statistical life (VSL) or the value of a life year (VOLY). While VSL quantifies the value individuals place on reducing mortality risk, VOLY evaluates the value attributed to extending life expectancy. On another hand, uncertainties related to economic valuation pose challenges to the accuracy and reliability of cost estimates within HIA. These come from several factors, including data quality, methodological differences across studies, and subjective judgments involved in valuing health states. In fact, estimating the economic value of a prevented death involves multifaceted considerations and important assumptions. Additionally, assigning monetary values to non-fatal health outcomes, such as disability or reduced quality of life, involves subjective assessments and value judgments. By selecting appropriate metrics, considering diverse data sources, and addressing methodological steps and uncertainties, HIA practitioners can improve the utility of economic assessments, facilitating evidence-based decision-making in public health policy and resource allocation. This work was supported by National Funds through FCT - Fundação para a Ciência e a Tecnologia,I.P., within CINTESIS, R&D Unit (reference UIDP/4255/2020).

European guidelines for the management of tuberculosis screening in migrants: a systematic review

Abstract Background This systematic review assesses the current available evidence across the WHO European region on the effectiveness and cost-effectiveness of the different approaches used for TB screening and also explores the facilitators and barriers that migrants face during screening programs. Methods We conducted an extensive, comprehensive, and systematic literature search across multiple databases, including MEDLINE, Cochrane, Scopus, and ISI Web of Knowledge, without any restrictions on publication date or language. In addition, we reviewed grey literature and reports from WHO. The data were meticulously analyzed using RStudio, with a focus on screening effectiveness indicators, such as infection and disease detection rates, uptake, coverage, and cost-effectiveness economic analyses. Results Our review included 43 studies covering over 8 million migrants from 11 countries. The findings demonstrate that while screening uptake was high, coverage varied, and completion rates for preventive treatments were low. Economic analyses supported the high cost-effectiveness of the screening programs, particularly when integrating both active TB and LTBI screening strategies. Conclusions The implementation of uniform screening protocols could potentially streamline efforts, reduce TB transmission, and offer substantial public health and economic benefits, making this research highly relevant for policymakers and healthcare providers. Key messages • An important strength of this study lies in its pioneering approach of current recommendations regarding screening for latent tuberculosis infection and active TB within the WHO European region. • This is the first study that provides a comprehensive overview of screening interventions across 11 countries and incorporates studies with large sample sizes (n > 8 million migrants).

Economic and Environmental Analysis of Asphalt Pavement Incorporating Sugar Cane Bagasse Bio-Oil with a Life Cycle Cost Perspective

Economic and Environmental Analysis of Asphalt Pavement Incorporating Sugar Cane Bagasse Bio-Oil with a Life Cycle Cost Perspective

A CDSS based Integrated Pathway for Influenza Vaccination Across Primary and Secondary Care

Abstract Background In Italy, influenza vaccination coverage in people ≥ 65 years is unsatisfactory (56.7%), underlining the need to improve current vaccination strategies. The objectives of this study have been: to define a novel pathway to increase influenza vaccination adherence among ≥ 65 years population in the Lazio region; to provide a predictive estimate of the epidemiological and economic pathway’s potential impact. Methods A multidisciplinary working group (WG) featuring cross-sectoral expertise was created and WG periodic meetings were held to define the patient journey and its flow-chart representation. The pathway’s potential impact was assessed through epidemiological and economic indicators and scenario analyses. Results An integrated pathway across primary and secondary care was defined, based on the active patient in-Hospital recruitment and vaccination and enhanced by a Clinical Decision Support System relying on a digital algorithm to identify eligible patients. Assuming an increase of influenza vaccination coverage from the current rate of 60% (scenario 1) to 65% (scenario 2) in ≥ 65 years population in the Lazio region thanks to the pathway implementation, an increase of 8% in avoided influenza cases, influenza- or pneumonia-related hospitalizations and influenza-related outpatient visits was estimated with a relative increase in savings for hospitalizations and outpatients visits of up 2,367,310 euros. Setting the vaccination coverage at 70% (scenario 3), an increase of 16% in avoided influenza cases, hospitalizations and outpatient visits was estimated with a relative increase in savings for hospitalizations and outpatients’ visits of up to 4,833,259 euros. Conclusions Alongside offering a predictive estimate of the relevant pathway’s potential impact, both epidemiological and economic, this project, with its robust methodology, may serve as a scalable and transferable model for enhancing vaccination coverage at national and international level. Key messages • The proposed pathway, offering the option of receiving flu vaccination within the Hospital, supports the paradigm shift towards primary prevention pathways in secondary care settings. • Another relevant aspect of the integrated pathway is the adoption of an Artificial Intelligence tool to identify suitable patients and improve their recruitment and adherence to vaccination.

Economic evaluation of Polygenic Risk Scores in healthcare interventions: a systematic review

Abstract Background Polygenic Risk Scores (PRS) quantify genetic susceptibility to diseases, promising personalized healthcare. This review explores current evidence regarding the economic evaluation of strategies based on PRS or other polygenic risk stratification approaches, scrutinizing their methodologies. Methods The study protocol was registered in PROSPERO (CRD42023442780). A systematic search in PubMed, Scopus, and Web of Science identified full economic evaluations of intervention based on polygenic risk stratification strategies. The quality of the included articles was assessed using the Drummond checklist. This study was supported by the EC and MUR under PNRR - M4C2-I1.3 Project PE_00000019 ‘HEAL ITALIA”. Results Nineteen articles were included in the analysis, with oncological conditions being the most frequently investigated (13), followed by cardiovascular conditions (3). In nearly 80% of the studies, PRS was employed for screening interventions, with the general population being the primary target in 14 out of the 19 studies. All the economic analysis models investigated cost-utility in terms of QALYs, with Markov models and microsimulations being the most common structures. The majority of these models were based on simulated cohorts derived mostly from North American or European data, with 9 adopting a healthcare system perspective and 6 a societal perspective. Although delivery strategies for PRS testing were rarely addressed, PRS costs were included in nearly all studies. Indirect costs were examined in fewer than half of the studies. In 12 out of 19 studies, the conclusions claimed the cost utility of PRS involving strategies. Conclusions Despite the technique’s potential, evaluations of various strategies based on PRS approaches yield heterogeneous conclusions regarding cost-utility. Our study highlights the factors contributing to this heterogeneity and underscores the need for further exploration, ideally prioritizing real-world data. Key messages • PRS strategies evaluations vary in cost-utility conclusions, highlighting the need for further investigation. • Real-world data and practical implications should be prioritised in PRS research.

Harnessing biomass waste-to-energy for sustainable electricity generation: prospects, viability, and policy implications for low-carbon urban development

AbstractBiomass waste-to-energy (WtE) generation is a potential pathway for green urban transition in developing countries which can contribute significantly to sustainable development goal 7: affordable and clean energy. However, unlike fossil fuel energy systems, the economic returns from WtE systems are low because WtE generation is capital-intensive and requires subsidies. This study examines the prospects of a sustainable biomass electricity generation from rice husk (RH) using a large dataset of rice milling activities in a fast paced urban transition economy. The study analyzes the viability of several RH biomass electricity generation scenarios using indicators such as net electricity output, economic returns (benefits), and levelized cost of electricity (LCOE). The results show that several mills/mill clusters generate sufficient daily RH that can power between 0.8 and 2.2 MW plant with a combined electricity output of about 500,000 MWh per annum. The economic analyses show that all RH biomass electricity generation scenarios return positive economic benefits under reduced social discount rates of 2–6%. Moreover, the LCOE of all scenarios are less than those of electricity generated from other sources. These results demonstrate that biomass waste-to-energy generation is viable for green urban development through low-carbon decentralized energy systems. Several policy implications of the findings are highlighted, including the need for policymakers and energy stakeholders to adopt sustainable biomass energy generation models such as “design, build, and operate” (DBO) to achieve sustainable WtE generation regimes that ensure green urban transition. Such a model will contribute to a circular economy and facilitates sustainable urban development that satisfies climate-related SDGs. Graphic abstract

Cost-utility analysis for sublingual versus intravenous edaravone in the treatment of amyotrophic lateral sclerosis

BackgroundEdaravone has been widely used in amyotrophic lateral sclerosis (ALS) treatment, and a sublingual (SL) tablet has been developed to offer a more convenient alternative for injection. We present a cost-utility analysis to comprehensively evaluate the costs and health outcomes of oral and intravenous edaravone for the treatment of ALS in Chinese medical context.MethodsCost-utility analysis of SL tablets of edaravone versus intravenous edaravone at home was performed by constructing a 20-year Markov model of ALS stage 1–4 and death. The data were extracted from the literature with model assumptions. Typical sensitivity analysis and scenario analysis for administering SL tablets at home versus intravenous tablets at the hospital were performed.ResultsIn the base case analysis, with SL tablets and intravenous injections both at home, the model estimated an additional cost of ¥12,670.04 and an additional 0.034 QALYs over 20 years (life time) of modeling analysis, and the ICER was ¥372,648.24 per QALY. However, in the scenario of intravenous administration at the hospital, SL tablet was demonstrated dominance to intravenous injection.ConclusionsUsing 3 times the GDP per capita of China in 2023 as the threshold, the SL tablet edaravone was not cost-effective in the context of home treatment for both formulationst, but was dominance to intravenous injection in hospital treatment. The results highlighted the importance of treatment context for health economic analysis.

The economics of mental ill-health in the EU/EEA

Abstract This presentation will provide an overview of the challenges and costs of mental ill health in 29 EU/EEA countries and an economic assessment of options to address current policy gaps. Nearly 20% of people in the EU/EEA experience mental ill health, with a particularly high prevalence among vulnerable groups such as people on low incomes or young people. However, in the majority of cases, and particularly for those with milder forms, these conditions go undiagnosed. Even when diagnosed, access to quality health services is sub-optimal, mainly due to financial issues or waiting times. The European Union and its Member States have identified mental ill health as a major public health threat, but there are still significant policy gaps and a lack of evidence on the most effective and cost-effective interventions to implementation. Building on its methodology for identifying and evaluating better public health policies for better lives, the OECD has recently extended the scope of its economic work to mental health. This presentation will start by providing an estimate of the health and economic burden of mental ill health in EU/EEA countries and will present evaluations of best practices in this field recently introduced by EU Member States. The talk will not only present the results of the analyses but will also use the identified case studies to discuss the approach used and some of the methodological issues involved in carrying out economic analysis for a set of diseases with high burden but relatively low mortality.

Implementing dynamic atrioventricular delay optimization for cardiac resynchronization therapy: an economic analysis in the EU5 countries

Abstract Background Heart failure (HF) poses an escalating public health challenge, contributing significantly to patient morbidity, mortality and healthcare expenditures [1,2]. Cardiac resynchronization therapy (CRT) is a well-established intervention that improves functional capacity and enhances quality of life while mitigating symptoms, hospitalizations, and mortality in HF patients [3]. Nevertheless, the reaction to CRT varies among individuals; some experience positive responses and others show resistance to the therapy, with unfavourable outcomes and increased healthcare costs [4]. The introduction of the dynamic atrioventricular (AV) optimization algorithm aims to enhance CRT response by enabling dynamic optimization of the AV delay [4]. Purpose Despite the strong clinical evidence supporting the effectiveness of dynamic AV optimization algorithm, a comprehensive assessment of its economic implications is still lacking. This study aims to evaluate the economic impact of activating dynamic AV optimization algorithm in patients undergoing CRT treatment across the Big 5 European countries (EU5; France, Germany, Spain, Italy, and the UK). Methods The study examines two scenarios over a 3-year timeframe: a) current scenario, where dynamic AV optimization algorithm activation is limited to a small segment of the population, and b) future scenario, where dynamic AV optimization algorithm activation is progressively expanded per year from 15% to 50%. Treatment efficacy data, measured in terms of HF hospitalization and mortality rates, were sourced from Varma et al. studies [1,4]. Hospitalization and mortality costs were extracted from national DRG tariffs and relevant literature [5–14]. It is important to note that there is no additional cost for algorithm activation if the device is already equipped with it. Results In this hypothetical analysis of 1,000 patients, around 30% undergo CRT implantation compatible with dynamic AV optimization algorithm activation. The treatment cost of patients with the algorithm ON is reduced by -15% compared to patients with the algorithm OFF, considering a weighted average across the EU5 countries (France: -11%, Germany: -16%, Italy: -14%, Spain -17%, UK: -16%), as shown in Table 1. The steady increase in algorithm activation led to an annual expenditure reduction equal to €21,109, calculated on the weighted average across the EU5 countries (France: €15,549, Germany: €33,753, Italy: €13,844, Spain: €20,385, UK: £13,423). When compared to the current scenario, the future scenario saved €36,468 on average across the EU5 countries. Further country-specific cost savings are shown in Table 2. Conclusion The conducted economic analysis gives confidence in dynamic AV optimization algorithm, positioning it as a valuable and economically sustainable asset for enhancing CRT treatment outcomes in patients with HF.

Cost-effectiveness of oral versus injectable disease modifying therapies in relapsing multiple sclerosis: a systematic review analysis

BackgroundMultiple sclerosis (MS) is a chronic and progressive neurological autoimmune disease that affects the central nervous system. There are two types of drugs used to treat this disease: injectable and oral drugs. The present study aimed at systematically reviewing the cost effectiveness of oral versus injectable drugs.MethodsThe researchers searched the PubMed, Scopus, and Web of Science databases to find relevant studies. After removing the duplicates, two authors independently assessed the records. The studies that had conducted full economic evaluations of oral versus injectable drugs in MS patients were included. The Quality of Health Economic Studies (QHES) tool was also used to assess the quality of the studies.ResultsThirty studies that had conducted the economic analysis of oral versus injectable therapies in MS patients were included in this review. The QHES scores for all records were generally high (≥ 77) and they were of good quality. The lowest and highest levels of incremental net monetary benefit were respectively obtained through the comparison of Fingolimod and Alemtuzumab (-1,419,333) and the comparison of Teriflunomide and Interferon β-1a (1,792,810). The amount of INMB (incremental net monetary benefit) in the comparisons between oral and injectable drugs showed that the highest and lowest amount of INMB calculated between) Fingolimod and injectable drugs, respectively, compared to (interferon β-1a) 98,253 and (Ocrelizumab) -212,417, the highest amount in dimethyl fumarate is also against (peginterferon β-1a) 191,470 and the lowest against (alemtuzumab) -124,333, Teriflunomide against injectable drugs is the highest against (peginterferon β-1a) 89,956 and the lowest (Ocrelizumab) − 194,169, as well as Cladribine compared to injectable drugs, the highest was compared to (interferon β-1a) 236,430 and the lowest (Ocrelizumab) was 23,965.ConclusionA large number of health economic evaluations of disease-modifying therapies (DMTs) in MS were available at the international level, the comparison of which was difficult and sometimes contradictory. However, despite the difference in the results, Cladribine tablets were cost-effective in all studies compared with injectable drugs. In addition, the present study could be of great importance for policymakers and other beneficiaries regarding the cost-effectiveness of the aforementioned drugs.

Evaluation of Managerial Economics Applications Strategy using the SPSS Method

Managerial Economics is an economy branch is, this economic theory and size using methods solve real-world managerial problems. It helps businesses and organizations make informed decisions by using economic analysis. Here are some common applications of managerial economics: Demand Analysis and Forecasting: Businesses use managerial economics to understand consumer behavior and forecast future demand for their products or services. This involves studying factors that affect demand, such as price, income levels, and consumer preferences. Production and Cost Analysis: Managerial economics helps businesses optimize production processes and minimize costs. It involves analyzing production functions, cost structures, and economies of scale to determine the most efficient way to produce goods or services. Pricing Strategies: A product or the right price for the service It is up to a company to decide Crucial to profitability. Managerial economics helps businesses set prices by considering factors like production costs, competition, and consumer willingness to pay. Market Structure Analysis: Understanding the type of market, a company operates in (e.g., perfect competition, monopoly, oligopoly) is essential for making strategic decisions. Managerial economics helps analyses market structures and determine appropriate strategies for each. Risk and Uncertainty Analysis: Businesses often face uncertainty in various aspects, such as demand fluctuations, production costs, and market conditions. Managerial economics provides tools to assess and manage risks, including techniques like decision tree analysis and expected value calculations. Capital Budgeting and Investment Analysis: Managerial economics assists in evaluating investment opportunities and capital projects. It involves methods Payback period analysis of investments. Regulatory and Government Policy Analysis: Managerial economics helps businesses understand and navigate government regulations and policies that affect their operations. This can include areas like taxation, environmental regulations, and trade policies. Strategic Planning: Using economic analysis, businesses can develop long-term strategies for growth and sustainability. This may involve assessing market trends, competitive dynamics, and potential expansion opportunities. Game Theory and Competitive Strategy: Managerial economics incorporates game theory to analyze strategic interactions between competitors. It helps businesses formulate optimal strategies in competitive environments. Resource Allocation: Efficient allocation of resources, including labor, capital, and technology, is crucial for a company's success. Managerial economics provides tools to distribute funds in a manner that optimisesoverall productivity and profitability. Demand Analysis and Forecasting, Production and Cost Analysis, Pricing Strategies, Market Structure Analysis, Risk and Uncertainty Analysis, Capital Budgeting and Investment Analysis and Regulatory and Government Policy Analysis. The Cranach’s Alpha Reliability result. The overall Cranach’s Alpha value for the model is .744 which indicates 74% reliability. From the literature review, the above 50% Cranach’s Alpha value model can be considered for analysis.

Performance Evaluation and Economic Sustainability of the PAU Model Batch Type Paddy Straw Biogas Plant

This study evaluates the performance and economic viability of the Punjab Agricultural University (PAU) Model Batch Type Paddy Straw Biogas Plant in rural India, addressing critical challenges in agricultural residue management and sustainable energy production. Data collected from two plants over four months showed an average daily biogas production of 1.46 to 3.13 m3 per day, with a total gas production of 284.8 m3 in a period of four months. Plant performance correlated moderately with ambient temperature. Economic analysis revealed annual savings of Rs. 47,600 through reduced LPG use and biogas slurry sales. The study concludes that the PAU Model is technically efficient and economically viable, offering a sustainable solution for paddy straw management and rural energy security. These findings have significant implications for policymakers and rural development practitioners in promoting sustainable agriculture and renewable energy adoption in developing regions.

Assessment of Yield and Economics under High Density Planting System in Cotton in Kachchh District of Gujarat, India

Cotton (Gossypium hirsutum L.) possesses a position of major fiber and cash crop, which plays vital role to sustain national economy. It provides the basic raw material (cotton fiber) to cotton textile industry. Gujarat contributes substantially to the national cotton area (24%) and productions (37%). A field experiment was carried out during the kharif seasons from 2017-18 to 2019-20 at farmers' fields through ICAR-CAZRI Krishi Vigyan Kendra Kachchh-II to evaluate the impact of frontline demonstrations (FLDs) on cotton productivity and profitability. During the experiment period, a total of 30 FLDs on high density planting system (HDPS) in cotton with the high-yielding variety GTHH-49 were demonstrated in a 12-hectare area across 6 villages in the Bhuj, and Nakhatrana talukas of Kachchh district. The improved variety GTHH-49 with a full package of practices was demonstrated in the plots, while existing technology was treated as the local check. Based on three years of data, the improved practice (IP) resulted in an average seed yield of 2868 kg ha-1, which was an increase of 13.35% compared to the local check yield of 2530 kg ha-1. The demonstrated technology showed an average extension gap, technology gap, and technology index of 338.33 kg ha-1, 631.67 kg ha-1, and 18.05%, respectively. The economic analysis of the demonstrations revealed the viability of the improved technology, with a net return of 101670.3 Rs. ha-1 and a benefit-cost ratio (BCR) of 3.24, compared to 84964.67 Rs. ha-1 and a BCR of 3.02 for local check. A wide range of extension and technology gaps had a detrimental influence on crop output and net returns in general. The results revealed that the adoption of the high-yielding variety with a full package of practices significantly increased cotton productivity and reduced both extension and technology gaps.

Economic Analysis and Efficiency of Small-Scale Catfish Farms in Delta State, Nigeria

Economic Analysis and Efficiency of Small-Scale Catfish Farms in Delta State, Nigeria