Economic Benefit Analysis Research Articles

Effects of Different Molasses Levels and Slow-Release Urea Combinations on Growth Performance, Serum Biochemistry, Rumen Fermentation, and Microflora of Holstein Fattening Bulls

The aim of this study was to investigate the effects of different combinations of molasses levels and slow-release urea on Holstein fattening bulls. Sixty Holstein fattening bulls of a similar age, weight, and health status were randomly divided into four groups of fifteen Holstein fattening bulls each. All of the treatments were as follows: (1) basic diet group (CON); (2) 2% molasses slow-release urea group (LMU); (3) 4% molasses slow-release urea group (MMU); and (4) 6% molasses slow-release urea group (HMU). The results of the study showed that the MMU had an outstanding performance, with a 13.3% increase in average daily weight gain compared with the control group, a significant decrease in feed conversion ratio (p < 0.05), and a significant increase in apparent digestibility of crude protein (p < 0.05). In terms of serum biochemical indices, blood ammonia and alanine aminotransferase (ALT) concentrations were significantly higher in the MMU than in the CON (p < 0.05). The rumen pH of all treatment groups was lower than that of the CON (p < 0.05), whereas the concentrations of microbial crude protein (MCP), as well as acetic acid, propionic acid, and total volatile fatty acids (TVFA) were significantly higher in both the MMU and HMU (p < 0.05). The dominant phyla in each group were Bacteroidetes, Firmicutes, and Patescibacteria, and the relative abundance of Bacteroidetes in the MMU increased by 5.47% compared with that in the CON. In the MMU, Prevotellaceae, Lachnospiraceae, and Ruminococcaceae increased by 9.03%, 0.67%, and 3.43%, respectively, compared with the CON. The economic benefit analysis showed that the daily feeding cost of fattened cattle in the MMU was reduced by RMB 1.62 yuan, and the daily farming benefit of each cow was increased by RMB 7.19 yuan. In conclusion, the MMU was effective in improving the growth performance of fattening cows, optimizing rumen fermentation, reducing cost, and increasing profit, which is a nutritional strategy with great application value.

A decision-making framework based on rain-fed crop suitability, water scarcity, and economic benefits for determination multiple-crop rotation strategy

Water scarcity under global climate change has impacted decreased agricultural productivity. Determining the suitable crop rotation strategy under water scarcity applicable to a specific region requires an evaluation of crop suitability, water scarcity, and economic benefits to farmers. This paper aims to improve agricultural productivity and economic benefits through crop rotation strategies under climate change. We developed seven crop rotation strategies, including rice, soybean, maize, and sweet potatoes, that were determined based on preliminary results of the crop suitability index using the EcoCrop model. The water scarcity index (WSI) in historical and future under climate change conditions is estimated using the CropWAT model. In addition, the economic benefit of each crop rotation strategy is evaluated. Finally, multi-criteria decision analysis (MCDA) using the Analytical Hierarchy Process (AHP) was employed to select the most suitable crop rotation strategy applicable to Taoyuan City, Taiwan, based on crop suitability assessment, water scarcity, and economic benefit analysis. Our result shows that WSI values are 0.37, 0.50, and 2.28 in the dry years of 2004, 2015, and 2020, respectively, due to decreasing rainfall and increasing temperatures. The 10-year and 20-year averages were 0.4 and 0.35, respectively, indicating that the issue of agricultural water scarcity is intensifying year by year. Cultivating sweet potatoes has less vulnerability to water scarcity by up to 90 % under climate change than rice. Sweet potatoes also generate farmers’ income, which increases by 338 %, considering both rain-fed and irrigation efficiency conditions. Finally, the MCDA-AHP revealed that sweet potatoes and soybean-maize rotation in Taoyuan City were the most suitable and profitable crops for cultivating in Taoyuan City, especially under high and severe agriculture water stress events. Implementing a crop rotation strategy involving sweet potatoes and soybean-maize can effectively mitigate the impact of climate change and extreme drought on crop yield and ensure a stable income for farmers. Integrated irrigation and crop rotation strategies are crucial for providing farmers and other stakeholders with more informed decision-making in agriculture sectors while enhancing water use efficiency.

Sustainable biosynthesis of caproate from waste activated sludge via electro-fermentation: Perspectives of product spectrum, economic and environmental impacts

Electro-fermentation (EF) has emerged as a promising method to produce value-added medium chain fatty acids (MCFAs) via chain elongation (CE). The biorefinery of waste activated sludge (WAS) to MCFAs has been attracting increasing attention. However, so far anaerobic_CE process was commonly employed, while the contribution and mechanism of EF_CE still remain unclear. In the present study, a comprehensive analysis of caproate biosynthesis from prefermented WAS via EF_CE was performed. The reduction in substrates resulted in an increase in caproate production, yielding the maximum caproate (299.8 mg COD/g volatile suspended solid) in the minimum substrate concentration (25 % prefermented WAS, EF13 group). The highest utilization rate (78.76 %) of soluble proteins was also achieved in EF13. Significant positive correlation among caproate yield, electrochemically active bacteria, caproate-synthesizing consortium and homo-acetogen was revealed by molecular ecological network and Mantel test. Further analysis of the metabolic pathways revealed that EF13 demonstrated more key enzymes participated in the production of acetyl-CoA via the Wood-Ljungdahl pathway and the conversation of acetyl-CoA to caproate via the reverse β-oxidation pathway. Moreover, compared to the anaerobic_CE process, the economic benefits of the EF_CE process significantly increased, and the environmental impacts were greatly reduced. The life cycle assessment and economic benefits analysis identified the strengths of EF_CE and proposed a sustainable strategy to facilitate the commercialization of electro-fermentation assisted biorefinery technology.

An economic analysis of production and cost benefits of major crops in Janjgir-Champa district of Chhattisgarh

An economic analysis of production and cost benefits of major crops in Janjgir-Champa district of Chhattisgarh

Prediction Method for Hydraulic Fracturing Effect of Producing Well Based on Machine Learning Methods

Abstract Accurate prediction of producing fracturing oil enhancement is a prerequisite for decision-making on the implementation of production enhancement measures in producing wells. The traditional reservoir numerical simulation method requires accurate reservoir geological parameters and fracturing construction parameters, which makes the calculation process complicated and the on-site application effect unsatisfactory. Therefore, a method for predicting fracturing effect of producing well based on machine learning is proposed. A combination of correlation coefficient analysis and gray correlation analysis was used to determine the main controlling factors affecting fracturing effectiveness; Considering the nonlinear mapping relationship between the fracturing effect and the main control factors, a prediction model was established using a support vector machine. The model is applied with an actual block of an oil field as an example, and the evaluation of potential wells is completed with the analysis of economic benefits of fracturing measures. The results show that the model prediction results meet the accuracy requirements for engineering application, and the screened fracturing potential wells have achieved better oil enhancement results after the implementation of measures. The prediction model of oil enhancement effect established by this method is based on the actual production data of producing wells, with reliable prediction results and simple model solution, which has the value of popularization and application in the same type of blocks.

Comparative Analysis of Yield and Economic Benefits of Using Different Organic Manure in Broccoli Cultivation

Comparative Analysis of Yield and Economic Benefits of Using Different Organic Manure in Broccoli Cultivation

Simulation and Application of a New Type of Energy-Saving Steel Claw for Aluminum Electrolysis Cells

Aluminum electrolysis is a typical industry with high energy consumption, and the energy saving of aluminum electrolysis cells is conducive to the sustainable development of the ecological environment. The current density distribution on the steel claws of conventional aluminum electrolysis cells is uneven, resulting in a large amount of power loss. Therefore, a new type of current-equalized steel claw (CESC) is designed in this paper. The ANSYS simulation study shows that the CESC can achieve a more uniform current density distribution and reduce the voltage drop by about 36 mV compared with the traditional steel claw (TSC). In addition, the use of CESC optimizes the temperature distribution of the steel claws and reduces the risk of cracking and deformation. The results of the industrial application tests are highly consistent with the simulation results, confirming the accuracy of the simulation results. The economic benefit analysis shows that using CESC saves 114.1 kWh of electricity per ton of aluminum produced. If this technology can be promoted throughout China, it is expected to save up to 4.75 billion kWh of electricity annually. The development of CESC is promising and of great significance for improving the overall technical level of the aluminum electrolysis industry.

The impact of CO2 emission synergy on PM2.5 emissions and a dynamic analysis of health and economic benefits: A case study of China's transportation industry

PM2.5 is the primary pollutant that worsens air quality and has many adverse effects on human health and the social economy. Measures to reduce CO2 can synergistically reduce PM2.5. This paper focuses on the transportation industry in China, which has high carbon and high pollution emissions. It initially evaluates the synergistic effect of CO2 emissions and the impact of other socio-economic drivers on PM2.5 emissions. Subsequently, it provides a comparative analysis of the projected trajectories of PM2.5 emissions, along with the associated health and economic repercussions, across three scenarios from 2021 to 2030. The results show that: (1) The synergy effect of CO2 reduction emerges as the primary driver for mitigating PM2.5 emissions, whereas economic growth stands as the primary contributor to their escalation. (2) Both the green development (GD) scenario and the technological breakthrough (TB) scenario forecast a continuous decline in PM2.5 in 2021–2030. By 2030, the GD and TB scenarios forecast a reduction of 32,000 and 39,500 tonnes of PM2.5, respectively, compared to the business-as-usual (BAU) scenario. (3) By 2030, in contrast to the BAU scenario, premature deaths will be reduced by 39.55%, and economic losses will be reduced by 234.738 billion CNY in the GD scenario; premature deaths will be reduced by 50.04%, and economic losses will be reduced by 263.107 billion CNY in the TB scenario.

Improve flotation efficiency of refractory tungsten ore and reduce carbon emission in flotation process: A case study of Sandaozhuang deposit in Henan, China

With the rapid consumption of tungsten ore resources which were easy to beneficiation, the low-grade refractory scheelite has become the main source of tungsten production. In this study, a new reagent recipe was proposed to improve scheelite flotation efficiency and reduce carbon emission in flotation process by taking Sandaozhuang strongly altered ore as an example. The mineralogical study indicated that the content of WO3 in this ore was 0.0952 %, and 83.16 % of WO3 occurred in scheelite. The high content of calcium-containing gangue, easy-argillation gangue and fine scheelite jointly made it difficult to recover scheelite efficiently. The batch flotation tests shown that under the conditions of Na2CO3 1800 g/t, SS 600 g/t, SG 60 g/t, engine oil 20 g/t and FX-8 180 g/t, a rough concentrate with WO3 grade of 1.503 % and WO3 recovery of 79.40 % can be obtained. The industrial tests and application shown that this new reagent recipe had good industrial applicability and stability, and was conductive to improve the efficiency of the whole flotation process. The economic and environmental benefits analysis found that the application of this new reagent recipe in a 10,000 t/d scheelite flotation plant can create annual additional economic value of more than CNY 20 million, and reduce annual carbon emissions by more than 5000 t. Therefore, this new reagent recipe was worth popularizing and applying in similar refractory scheelite flotation plants.

Economic benefit analysis of scene transformation of business model-taking Suning.cn as an example

With the rapid development of the new economy promoted by the new generation of technological revolution, new scenes, new formats and new models have become the direction and path of China's economic transformation and upgrading. For the retail industry, which is significantly affected by the impact of the Internet, scene transformation is the hottest and most powerful straw to reverse the current difficulties. This paper takes Suning.cn as the target case company to study the economic benefits brought by its scene transformation. Firstly, it points out the dilemma faced by the retail industry at present, and analyzes and explains the concept of scene with other experts' theories. Secondly, the scene layout of Suning is sorted out and compared with that of Sichuan Changhong in terms of profitability, operation ability and development ability. Finally, from the financial perspective, it summarizes the economic benefits brought by the scene transformation to Suning.

Low Carbon Development Strategy in the Rambat Menduyung Mangrove Forest Area of West Bangka

Indonesia is committed to reducing carbon emissions through low-carbon development. Mangrove ecosystems have a high carbon storage value that can support this development. There is a problem of high mangrove degradation caused by economic activities. One of the sectors causing mangrove degradation is the mining sector in the province of Kepulauan Bangka Belitung. Low-carbon development strategies in mangrove areas are needed to support the increase of sustainable economic activities such as capture fisheries, aquaculture, and mangrove conservation. The objective of this research is to calculate the potential value of sustainable economic activities and develop a low-carbon development strategy in the Rambat Menduyung Mangrove Area. The methods used in this research are economic benefit analysis, benefit transfer analysis of carbon emission factors, and strategy analysis using interpretative structural modeling with Exsimpro software. The results of research suggest that potential economic activities that support low carbon development in mangrove areas, namely mangrove conservation, capture of marine biota, and blood clam production, produce economic benefits of IDR105,723,552,069/year. Prioritizing low-carbon development strategies by improving protection and law enforcement policies and increasing institutional capacity and community participation supported by adequate infrastructure from stakeholders, namely DKP West Bangka, KPHP Rambat Menduyung, and Belo Laut Village Government.

Low Carbon Development Strategy in the Rambat Menduyung Mangrove Forest Area of West Bangka

Indonesia is committed to reducing carbon emissions through low-carbon development. Mangrove ecosystems have a high carbon storage value that can support this development. There is a problem of high mangrove degradation caused by economic activities. One of the sectors causing mangrove degradation is the mining sector in the province of Kepulauan Bangka Belitung. Low-carbon development strategies in mangrove areas are needed to support the increase of sustainable economic activities such as capture fisheries, aquaculture, and mangrove conservation. The objective of this research is to calculate the potential value of sustainable economic activities and develop a low-carbon development strategy in the Rambat Menduyung Mangrove Area. The methods used in this research are economic benefit analysis, benefit transfer analysis of carbon emission factors, and strategy analysis using interpretative structural modeling with Exsimpro software. The results of research suggest that potential economic activities that support low carbon development in mangrove areas, namely mangrove conservation, capture of marine biota, and blood clam production, produce economic benefits of IDR105,723,552,069/year. Prioritizing low-carbon development strategies by improving protection and law enforcement policies and increasing institutional capacity and community participation supported by adequate infrastructure from stakeholders, namely DKP West Bangka, KPHP Rambat Menduyung, and Belo Laut Village Government.

New insight into enhanced carbon recovery from anaerobic fermentation of waste activated sludge with cation exchange resin coupled with NaCl pretreatment

Carbon recovery from waste activated sludge has been attracting considerable attention. However, the migration and transformation patterns of carbon sources between the phases have rarely been reported. In this study, a novel strategy using cation exchange resin (CER) coupled with sodium chloride (NaCl) to enhance carbon recovery through anaerobic fermentation (AF) was proposed. The results demonstrated that CER coupled with NaCl destroyed OH and CO stretching in amide I while promoting the formation of β-sheet and random coil structures, leading to sludge disintegration. This significantly improved the kinetics of endogenous carbon release, resulting in the release of 1146.33 mg/L of carbon from the solid sludge into the liquid phase. Approximately 75.61 % of the initial carbon source was bio-transformed into short-chain fatty acids. Correspondingly, carbon recovery was significantly increased up to 852.23 mg C/L, 4.57 times that of the control. Mechanism exploration revealed that carbon source recovery was significantly elevated by the synergistic effect of CER and NaCl. CER effectively removed high-valence cations from extracellular polymeric substance (EPS), weakening its bridging and adsorption-electro neutralization capabilities, promoting protein deflocculation, and triggering EPS disruption to release extracellular carbon sources. NaCl disrupted the ionic strength and distribution inside and outside microbial cells, creating an osmotic pressure difference that resulted in cell plasmolysis and lysis, ultimately inducing the release of intracellular carbon sources. Economic and carbon emission reduction benefit analyses verified that the CER coupled with NaCl pretreatment is a cost-effective sludge treatment strategy. This study illustrates the carbon source migration and transformation pathways in the CER coupled with NaCl-assisted AF process, providing guidance for sustainable sludge management.

Nitrogen Reduction and Organic Fertiliser Application Benefits Growth, Yield, and Economic Return of Cotton

The application of excessive nitrogen fertiliser has been found to have a detrimental impact on the growth and development of cotton in Xinjiang, China. This has resulted in a reduction in cotton yield and economic benefit. The aim of this study was to investigate the potential for reducing the input of inorganic N fertiliser while maintaining the quality and yield formation of cotton. The objective of this study was to examine the growth, photosynthesis, and yield of cotton crops subjected to varying fertiliser treatments. The experiment was conducted in 2021–2022 with eight treatments in the experiment: no fertiliser (CK); conventional application of inorganic nitrogen fertiliser (T0); T1–T3, with 8%, 16%, and 24% reduction in inorganic nitrogen fertiliser application, respectively; and T4–T6, with organic fertilisers replacing the reduced inorganic nitrogen fertiliser application of T1–T3, respectively. In comparison to T0, T5 demonstrated the most notable agronomical performance and yield components across both years. This is attributable to the spatial distribution of cotton bolls, which was more conducive to the net photosynthetic rate and yield formation. This, in turn, led to an augmented photosynthetic capacity, enhanced biomass accumulation, and an elevated harvesting index. The results of the economic benefit analysis demonstrated that in comparison to the control treatment (T0), the net profit of all treatments except T3 increased. In conclusion, the economic benefit reached its maximum in the range of a 9.90–14.10% reduction in nitrogen and a 16.60–17.60% substitution of organic fertiliser.

Overviewing Challenges and Solutions in Lean Manufacturing Implementation for Domestic Enterprises

Companies keep focus on enhancing the quality, efficiency, and customer satisfaction of their products and services while at the same time increasing their profits. Lean Manufacturing emerges as a potent strategy to address these imperatives via identifying and eliminating losses. Hence, it leads to optimized production processes and enhances overall performance of enterprises. This study presents an overview and analysis of lean manufacturing principles, implementation strategies, challenges, and economic benefits for Ukrainian enterprises. The main hypostatize of the paper was to investigate whether the Lean manufacturing approach is associated with different scope of businesses and whether it brings efficient outcomes for all of them. Based on conducted structured literature review the study highlights the versatility of lean methodologies across various industries and administrative processes. Employing scientific methods like comparative analysis and theoretical generalization, the research offers insights into the outcomes of lean implementations, including cost savings, productivity enhancements, and improved product quality for business organizations. The main outcomes of study underscore the critical role of strong leadership commitment and organizational culture in driving successful lean transformations. Through overviewing case studies and practical insights, the article illustrates real-world applications of lean manufacturing principles from different industries, exemplified by organizations AeroStar, Nova Poshta and Boeing. The paper is theoretical. However, the study advocates the practical importance of adoption of lean principles to achieve operational excellence for companies regardless of their scope of operating activities. Also, it offers suggestions for future research to explore emerging technologies' impact and cross-cultural comparisons in lean manufacturing practices.

Smart grid enterprise decision-making and economic benefit analysis based on LSTM-GAN and edge computing algorithm

As the next-generation power system, smart grid presents challenges to enterprises in managing and analyzing massive data, meeting complex operational and decision-making demands, and predicting future power demand for grid optimization. This paper aims to proposed a fusion algorithm for smart grid enterprise decision-making and economic benefit analysis, enhancing the accuracy of decision-making and predictive capability of economic benefits. The proposed method combines techniques such as Long Short-Term Memory (LSTM), Generative Adversarial Networks (GAN), and edge computing. The LSTM model is employed to model historical data of the smart grid. The GAN model generates diverse scenarios for future power demand and economic benefits. The proposed method is evaluated on four public datasets, including the ENTSO-E Dataset, and outperforms several traditional algorithms in terms of prediction accuracy, efficiency, and stability. Notably, on the ENTSO-E Dataset, the proposed algorithm achieves a reduction of over 46.6% in FLOP, and a decrease in inference time by over 48.3%, and an improvement of 38% in MAPE. The novel fusion algorithm proposed in this paper demonstrates significant advantages in accuracy and predictive capability, providing a scientific basis for smart grid enterprise decision-making and economic benefit analysis while offering practical value for real-world applications.

Factor mismatch measurement of resource-based cities: Evidence from all-round optimization total factor productivity decomposition framework

In-depth analysis of the factors affecting the transformation of resource-based cities can provide effective support for the transformation and development of resource-dependent regions. How to comprehensively identify the factors affecting the transformation of resource-based cities is a complex problem. This study starts from the total factor productivity model and focuses on the two core basic factors that affect the transformation process of cities reliant on resources. Economic benefits and energy efficiency, respectively, from the economic benefit analysis framework and energy efficiency analysis framework for reconstruction, the two frameworks are combined with the use of distorted prices of resource elements to solve the problem that the synergistic effect of economic benefits and energy efficiency can not be measured. In order to quantitatively analyze the factors that affect the development efficiency of cities reliant on resources under the single or synergistic effect of the comprehensive framework, this study optimizes the directional distance function from three perspectives: exogenous weight, direction vector endogeneity, and absolute distance transformation relative distance, thus achieving an accurate assessment transformation efficiency of cities reliant on resources. Considering the impact of the new coronavirus epidemic, this study only selected the data of resource-based cities from 2003 to 2018, and found through model calculation that the impact on the transformation of cities reliant on resources: (1) Labor mismatch is mainly achieved by affecting the structure about the production of resource-based enterprises and industrial human resources; (2) Capital mismatch is mainly realized by affecting the production of resource-based enterprises; (3) Energy mismatch is mainly achieved by affecting high energy consumption enterprises and low production technology level enterprises. Further research shows that the main objects of these factors are the four parts of production technology level, energy consumption, total factor productivity and industrial structure. Through these contents, they affect environmental efficiency and deeply affect the transformation process of resource-based cities.

Analysis of economic benefits and energy value of intercropping Stropharia rugosoannulata under rubber forests in Hainan Province of China

Analysis of economic benefits and energy value of intercropping Stropharia rugosoannulata under rubber forests in Hainan Province of China

Profitability and Financial Feasibility Analysis of Hydroponic Vegetable Business at Bahagia Farm

Purpose: This study aims to explore the profitability and financial feasibility aspects of hydroponic farming. Methodology: The study was conducted at Bahagia Farm, located in Bahagia Village, Babelan District, Bekasi Regency, from May 2023 to June 2023. The Non-Probability Sampling technique with a Saturated Sample (census) approach was used for sample selection. Data collection involved primary information from interviews, direct observations, and original documents, analyzed through profitability and financial feasibility analysis. Results: The results indicate that the farming business is profitable and feasible, with profitability indicators such as a Gross Profit Margin of 75.21% and a Net Profit Margin of 48.83%. Findings: The financial analysis shows a Net Present Value (NPV) above the neutral point at Rp553,272,251, a Net B/C ratio of 2.63, an Internal Rate of Return (IRR) of 41.82%, and a payback period of 2 years, 4 months, and 18 days. Novelty: This research provides detailed insights into the financial viability and profitability of hydroponic farming, enhancing understanding of its economic potential. Originality: The study offers a comprehensive analysis of economic benefits and financial metrics, contributing to knowledge on sustainable agriculture practices. Conclusions: Hydroponic farming at Bahagia Farm is profitable and financially feasible, making it a viable agricultural practice. Type of Paper: Empirical Research Article

Economic benefit analysis of lithium battery recycling based on machine learning algorithm

Economic benefit analysis of lithium battery recycling based on machine learning algorithm