Evaluation Of Economic Benefits Research Articles

Multiple benefits of new-energy vehicle power battery recycling strategies based on the theory of planned behavior and stimulus organism response

With the yearly increasing market penetration of new-energy vehicles in China, the retirement of power batteries has gradually become a scale, and most of the waste batteries have entered informal recycling channels, which has induced a series of environmental problems. Considering this issue, we introduced the system dynamics (SD), stimulus organism response (SOR), and the theory of planned behavior (TPB) in behavioral economics to establish the environmental economic benefit evaluation model of power battery recycling strategies, and we performed a dynamic simulation analysis on the effect of government subsidy policy, policy advocacy, and other recycling strategies. The results show that: (1) the recovery subsidy policy can improve the formal recycling quantity and economic benefits of recovery, but the effect on the degree of environmental pollution is limited. (2) The combination of environmental awareness promotion strategy and subsidy policy can overcome the shortcomings of subsidy policy and has significant environmental and economic performance. (3) Compared with the benchmark scenario, the formal recycling quantity, the CO2 emission reduction, and the economic benefits of recovery in scenario 4 (high subsidy-high policy propaganda strategy) increased by approximately 112 %, 208 %, and 223 %, respectively, and the degree of environmental pollution decreased by approximately 65 %.

Decoding China's urban agglomerations policies: A scientific evaluation and exploration of economic benefits

Urban agglomerations planning policies are a critical driver for sustainable urban development. The Chinese central and local governments have implemented a series of policies to guide the development of urban agglomerations. However, the scientific soundness of these policies and their impact on promoting high-quality urban economic development have received limited attention. This study addresses this research gap by examining the scientific rationale of China's urban agglomerations policy formulation through the policy modeling consistency (PMC) index model. Then, it empirically assesses the economic effects of policy implementation using a difference-in-differences (DID) model based on statistical data from 182 cities spanning 2000 to 2021. The results show that: (1)while the overall level of urban agglomerations policies is excellent, there are areas for improvement, such as policy objectives, implementation, and financial support; (2) Urban agglomerations policies contribute to a 1.8% increase in high-quality economic development; (3) Mechanisms underlying policy effect include the scale effect of industrial agglomerations, the radiation effect of infrastructure construction, and the spillover benefits of advanced industrial structure. Moreover, the effects of policy vary across urban agglomerations of different scales, with larger urban agglomerations demonstrating more substantial benefits. The research outcomes provide valuable insights for policymakers in formulating scientifically and economically beneficial urban agglomerations policies.

QUANTIFICATION OF CARBON POTENTIAL OF CONSTRUCTION WASTE TREATMENT: A CASE STUDY OF GUANGZHOU, CHINA

ABSTRACT Emission reduction in the construction sector is essential for China to achieve its carbon peaking and carbon neutrality goals. Construction waste recycling represents an important step in reducing the construction industry’s carbon emissions; however, construction waste recycling potential has received little attention from the industry to date. This paper adopts the Life Cycle Assessment method, constructs a carbon potential quantification formula for different construction waste treatment modes, and evaluates the economic benefit of these methods. The study’s main results are as follows. (1) For each unit (t) of construction waste disposal, the carbon potential of close-range off-site recycling is the lowest, that of public landfill is the highest, and that of recycling is intermediate. (2) The economic benefit evaluation shows that under the same conditions, the lowest total disposal cost for construction waste per unit (t) is via recycling and resourcing, indicating that this approach combines economic benefits, environmental friendliness, and sustainability. (3) Eco-friendly bricks produced by construction waste recycling have reduced carbon potential requirements compared to traditional bricks; thus, the construction waste treatment process plays a successful role in reducing carbon potential. This study’s conclusions enrich and improve the theory of construction waste resource management and can be used as a reference basis for the government to formulate emission reduction strategies for the construction industry and provide guidance for enterprises related to construction waste recycling.

Utilizing Enterprise Economic Benefit Evaluation Methods in Edge Intelligent Neural Network Applications

The core of enterprise economic benefit evaluation lies in the development of a quantitative identification model. The Back Propagation (BP) neural network possesses robust parallel computing, adaptive learning, and error correction capabilities, which can effectively reveal the economic benefits of enterprises and their relationship with influencing factors. This study establishes an economic benefit evaluation model for express delivery enterprises based on the BP neural network. The model takes the annual profit rate of enterprises as the quantitative index of economic benefits and selects 13 factors, both external and internal, influencing the annual profit rate of express delivery enterprises as inputs for the BP neural network model. The economic benefit evaluation model based on BP neural network meets the requirement of objective mean square error in the 300th training cycle. The research results demonstrate that the BP model significantly saves computing time and enables rapid, comprehensive, and objective evaluation of the economic benefits of industrial enterprises.

The impact of different business models on the environmental and economic benefits of public charging facilities

ABSTRACT This paper explores the impact of different charging pile business models on their economic and environmental benefits. Firstly, this paper analyzes the cooperation and competition relationships among the stakeholders under three charging pile business models, and their impact on the whole process of charging pile from design, production, operation to recycling. Secondly, this paper establishes a social economic benefit evaluation model and a life cycle carbon emission evaluation model based on the differences of charging pile in quality, cost, life span and high-value component recycling rate under different business models. Finally, this paper conducts a case analysis of the economic and environmental benefits of three business models combined with China’s actual situation. The research results show that the economic and environmental benefits of each party in the three business models are closely related to the quality, cost, life span and high-value component recycling rate of the charging pile. Among them, the life span of the charging pile has the greatest impact on its economic and environmental benefits. The higher the recycling rate of high-value components, the more conducive to improving its economic and environmental benefits. The research results will provide reference for policy makers and EVCI investors.

Dynamics of human-machine task allocation in intelligent production processes: A case study

Efficiency and effectiveness in advanced production systems depend on judicious task allocation between humans and machine entities. Despite growing academic interest in human–machine task allocation, theoretical research that can effectively guide practice remains lacking. This paper develops a dynamic human–machine task allocation framework aimed at addressing this gap through the identification and evaluation of task complexity and economic benefits influencing task allocation. We conduct a case study on human–machine task allocation during the transition from manual to intelligent production, utilizing actual task data from both manual and intelligent production lines for the same products. This case study provides practical support for our theoretical framework and yields additional insights into human–machine task allocation. Key findings include: (1) Technological progress has demonstrated significant replacement and reinstatement effects, promoting machines to replace humans in performing more complex tasks while generating new manual tasks related to smart devices. (2) The core considerations for human–machine task allocation are task complexity and task intensity. Although technological progress has facilitated the automation of highly complex tasks, the final allocation is ultimately determined by the economic benefits associated with task intensity. (3) The production pattern in the electronics manufacturing industry has evolved from a traditional manual-led approach to a human–machine collaboration pattern in intelligent production lines. Machines focus on production, while human workers handle setup tasks. This transformation allows intelligent production lines to combine the high productivity of machines with the flexibility of humans.

Optimization of Operation Strategy and Economic Benefit Evaluation of Urban New Energy Vehicle Charging Stations Based on Dynamic Demand

Optimization of Operation Strategy and Economic Benefit Evaluation of Urban New Energy Vehicle Charging Stations Based on Dynamic Demand

Making Decisions on the Development of County-Level Agricultural Industries through Comprehensive Evaluation of Environmental and Economic Benefits of Agricultural Products: A Case Study of Hancheng City

This study aims to provide a scientific basis for the development of county-level agricultural industries through a comprehensive evaluation of the environmental and economic benefits of agricultural products. Focusing on Hancheng City in Shaanxi Province, this paper calculates and analyzes the carbon emission intensity per unit output value and the economic benefits of major agricultural products, assessing their comprehensive advantage indices. The research methods include data collection, data processing, and model construction, utilizing a bi-factor matrix analysis to explore the balance between environmental sustainability and economic profitability of different agricultural products. The results indicate that pepper and vegetables have the highest comprehensive advantages, demonstrating significant economic and environmental benefits, while soybeans show lower comprehensive advantages, requiring improvements in cultivation techniques and management practices. Based on the research findings, this paper proposes policy and management recommendations for different agricultural products, including focusing on the development of high-comprehensive-advantage products, improving cultivation techniques for low-comprehensive-advantage products, promoting green agricultural technologies, establishing a carbon footprint monitoring system for agricultural products, and strengthening agricultural infrastructure construction. The study’s conclusions provide theoretical support and practical guidance for the agricultural development strategies of Hancheng City and similar regions, contributing to the achievement of sustainable agricultural development and carbon reduction goals.

An early economic evaluation of Kooth, a web-based mental health platform for children and young people with emerging mental health needs

Background“Kooth” is a web-based mental health platform commissioned by the National Health Service (NHS), local authorities, charities, and businesses in the UK. The platform gives children and young people (CYP) access to an online community of peers and a team of counsellors. This study reports an early economic evaluation of the potential benefits of Kooth in the UK. MethodsAn early evidence cost calculator was built to estimate the potential costs and savings of implementing Kooth from a UK NHS and crime sector perspective. A decision tree structure was used to track the progress of CYP with emerging mental health needs (EMHN), comparing CYP with access to Kooth to CYP without access to Kooth. The model implemented a 12-month time horizon and followed a typical Kooth contract in relation to costing, engagement, and CYP demographics. ResultsThe base case results followed a cohort of 2160 CYP. The results of the cost calculator estimated that engagement with Kooth is associated with a cost saving of £469,237 to the NHS across a 12-month time horizon, or £236.15 per CYP with an EMHN. From a combined NHS and UK crime sector perspective, the cost savings increased to £489,897, or £246.54 per CYP with an EMHN. The largest cost savings were provided by an estimated reduction of 5346 GP appointments and 298 antidepressant prescriptions. For this cohort, the model predicted that engagement with Kooth averted 6 hospitalisations due to suicidal ideation and 13 hospitalisations due to self-harm. Furthermore, the number of smokers and binge drinkers was reduced by 20 and 24, respectively. When a crime sector perspective was taken, 3 crimes were averted. DiscussionThis early model demonstrates that Kooth has the potential to be a cost-saving intervention from both an NHS and a combined NHS and UK crime sector perspective. Cost savings were provided through aversion in clinical and social outcomes. The model used a conservative approach to balance the uncertainty around assumptions of the intermediate outcomes (GP and medication use). However, it is limited by a paucity of costing data and published evidence relating to the impact of digital mental health platforms.

Comparative Study on Economic Benefit Evaluation Methods for Power Transmission and Transformation Construction Projects Under DB Mode

By introducing and comparing the commonly used economic benefit evaluation methods for power transmission and transformation construction projects under the Design and Build(DB) mode, the paper investigates which method should be used for different purposes of economic benefit evaluation. On this basis, the advantages and disadvantages of these methods and their application conditions have been discussed in depth so as to provide useful references for the economic evaluation work.

Artificial intelligence-aided wind plant optimization for nationwide evaluation of land use and economic benefits of wake steering

Artificial intelligence-aided wind plant optimization for nationwide evaluation of land use and economic benefits of wake steering

Farmers’ Adoption of Finger Millet Production Technologies and the Impact on Finger Millet Yields

Low remuneration and poor adoption of Finger millet [Eleusine coracana] production technologies were major constraints in yield gap in finger millet. Therefore, evaluation of production potential, adoption, economic and other benefits of the technologies in social perspectives of the farmers was undertaken. The study was conducted in two districts of Karnataka, India where the frontline demonstrations programme organized during the five years from 2017-18 to 2021-22 in 200 farmers’ fields. The knowledge, adoption and impact were measured by following before and after method, and data was collected through survey, focussed group discussion and personal interview methods. The demonstrated technologies resulted into increase in Knowledge over pre demo in use of high yielding variety (85%) followed by use of nitrogen (Urea) (62%), seed treatment (62%), use of FYM (56 %). Increase in adoption over pre demo was found in use of high yielding variety 82 % followed by use of nitrogen (62%), seed treatment (55%), use of FYM (48%). The higher adoption of the demonstrated technologies (71%) by the farmers in Karnataka led to higher grains production (33%) with better quality (65%) and fodder yield by 38% over pre-FLD stage. The increased yields not only enabled them to obtain higher net returns (55%) and incremental increase of benefit-cost ratio (25%) but also motivated to increase in area under finger millet (20%) significantly than the pre-FLD stage. Whereas, very low increase in cost of production (10%) over the pre-FLD stage was observed. Age, education, family size, annual income, institutional support, extension contact, herd size, and utility of grain and fodder were found to be significant in explaining the variation in their adoption level of demonstrated finger millet production technologies. Among the constraints, availability of labour, wild animals (deer and wild boar) and availability of seed are the major production constraints and price fluctuation, limited quantity purchases by government, delay in payment by government, and high commission from APMC are the major market constraints. To boost-up the adoption, large family size of the farmers, their dependency on farming and continuing newly selected farmers with field demonstration of location-specific low-cost technologies up to five years should be considered.

Evaluation of Yield Advantages, Competitiveness and Economic Benefits of Pigeonpea (Cajanus cajan L.) Based Intercropping Systems Under Different Date of Sowing

The experiment conducted at the Department of Agronomy farm, VNMKV., Parbhani (MH), during the kharif seasons of 2016-2017 and 2017-2018, integrates key agro-environmental factors. The utilization of deep black (vertisol) soil with good drainage replicates prevalent soil conditions in the region, ensuring the relevance and applicability of the findings to tropical environments of Latin America [20,21]. The implementation of a split plot design with two replications, considering four sowing dates and seven cropping systems, enhances the experimental robustness, facilitating a comprehensive evaluation of the interactions between timing and cropping systems [6,22].The study's findings highlight the significance of sowing dates in maximizing pigeonpea equivalent yield and net monetary returns, with sowing within a week period after the regular commencement of the monsoon (D1) demonstrating superior performance. Furthermore, the pigeonpea + soybean intercropping system emerges as the most favorable [50], indicating its potential for enhancing agricultural productivity and economic returns in the region [17,19]. The study's insights into the competitiveness and economic benefits of different intercropping systems provide valuable guidance for agronomic management practices in tropical environments [50]. By identifying the superior performance of certain cropping systems, such as pigeonpea + soybean, and the influence of sowing dates on yield outcomes [51,45], the study informs farmers and agricultural practitioners on optimal strategies for maximizing productivity and profitability in pigeonpea cultivation [29,30].
 The observed behavior of component crops within intercropping systems underscores the complexity of crop interactions and highlights the need for tailored management approaches. The dominance of the niger crop in intercropping systems over the pigeonpea base crop emphasizes the importance of understanding crop dynamics for optimizing yield outcomes [5,18]. Additionally, the study's evaluation of different sowing dates contributes to enhancing climate resilience [14] in agricultural systems by identifying optimal timing strategies for mitigating climate variability effects on crop performance [7,37,13].

Evaluation of annual production and economic benefits of tropical rice-crayfish coculture system in China

CONTEXTIn recent years, the rice-crayfish coculture has shown significant progress as an agricultural technology with significant economic value in the middle and lower reaches of the Yangtze River in China. Nonetheless, as the promotion of the technology expands, the unvarying co-culture method poses challenges in adapting to the diverse environmental conditions across different regions. This has resulted in regional disparities dominated by environmental factors, which have emerged as the primary obstacle to the advancement of rice-crayfish coculture. OBJECTIVEIt is uncertain whether the rice-crayfish coculture model can be implemented in tropical regions due to the higher temperature and stronger solar radiation. Therefore, this study analyzes the feasibility of establishing the rice-crayfish coculture model through estimating the rice and crayfish annual production and the economic and ecological benefits in the tropical region. METHODSThe growth, annual production, and nitrogen partial factor productivity (NPFP) of rice, nitrogen dynamics in the field water, as well as the economic inputs and benefits associated with the rice-crayfish coculture system over two years were evaluated in Hainan province. RESULTS AND CONCLUSIONSIt was found that: 1) Even with a reduction of 33.3% in nitrogen fertilizer application, the annual production of the rice-crayfish coculture system remains equivalent to that of the rice monoculture system. Furthermore, the rice-crayfish coculture can increase the effective panicle number of rice. 2) The rice-crayfish coculture system can provide nutrients to support rice growth without polluting the water environment. The nitrogen fertilizer partial productivity in the rice-crayfish coculture system is significantly higher than that in the rice monoculture system. Crayfish culture introduced additional nitrogen in rice field at early stage, but it did not gain any form of nitrogen content in the field water at the end of the season. 3) In comparison to the rice monoculture system, the tropical rice-crayfish coculture system increased net profit by 152.82% -745.26%. 4) Comprehensive analyses of the growth, yield, and economic benefits showed that SXHN is better than YXYLS, which indicated that suitable varieties were needed for developing rice-crayfish coculture in the tropics. SIGNIFICANCERice-crayfish coculture is an economic and ecological agricultural system. However, rice-crayfish coculture encounters extensive technical challenges across various regions, because of the varied culture conditions. These challenges impede the expansion of the rice-crayfish coculture model. Therefore, this study aimed to evaluate the practicality of the rice-crayfish coculture system in the tropics to facilitate the development of the rice-crayfish coculture model.

A multi-strategy framework to evaluate seismic resilience improvement of substations

Electrical substations suffer significant functionality and economic damage during earthquakes. To improve the seismic reliability and safety of substation systems, this study proposes a seismic resilience evaluation methodology based on the characteristics of the substation's functionality. A probability-based substation functionality network model was built using Bayesian network algorithms, and a stepped functional recovery function was established to quantitatively assess the resilience of substations. Moreover, a network seismic resilience improvement framework was constructed based on the seismic reliability and function recovery of substations. The approach develops network learning algorithms to determine the importance of substation equipment. Based on the proposed multi-strategy seismic resilience optimization algorithm, the post-earthquake repair path and combination strategies for substations were optimized through iterative simulation. Taking a typical 220 kV substation as a case study for seismic resilience analysis, the key equipment was obtained, and post-earthquake resource constraints on system functionality were identified. Notably, multi-dimensional seismic resilience improvement strategies were obtained. The analysis results provide references for post-earthquake resource allocation and economic benefit evaluation in practical engineering.

Retracted: Economic Benefit Evaluation and Analysis Based on Intelligent Agriculture Internet of Things

Retracted: Economic Benefit Evaluation and Analysis Based on Intelligent Agriculture Internet of Things

Optimization of Carbon Sequestration and Carbon Displacement in Fractured Horizontal Wells in Low Permeability Reservoirs

The increasing use of fossil fuels has raised concerns about rising greenhouse gas emissions. Carbon capture, utilization, and storage (CCUS) is one of the most important technologies for achieving net zero carbon emissions. In oil reservoirs, fully understanding their geological characteristics, fluid characteristics, and pressure distribution and injecting CO2 in a reasonable scheme, some remaining oil can be recovered to improve oil recovery and even obtain certain economic benefits. In this paper, we investigate the effect of CCUS implementation in low-permeability reservoirs from both technical and economic aspects. First, based on the parameters of a low-permeability reservoir, a numerical simulation model of a reservoir with gas injection in a multi-stage fractured horizontal well at the top of the reservoir and oil recovery in a multi-stage fractured horizontal well at the bottom is established. Next, four cases of continuous CO2 injection, intermittent CO2 injection, CO2 injection after water flooding, and water alternating gas drive (WAG) are designed to evaluate their effects on CO2 storage and enhanced oil recovery. Finally, an economic evaluation model is developed to evaluate these four cases. The results show that fractured horizontal wells can improve the injection capacity, increase the swept volume of injected gas, cause CO2 to fully contact the crude oil, greatly increase the contact area between the wellbore and crude oil, and greatly improve oil recovery. The WAG injection-production method can effectively inhibit gas channeling, reduce the production gas–oil ratio, improve oil recovery, and, at the same time, bury more CO2 into the reservoir. Its economic benefit evaluation is also the best among the four cases. In addition, the remaining oil distribution and CO2 buried distribution under different injection-production schemes are also analyzed. This study provides a scientific basis for the operation scheme design of CCUS in low-permeability reservoirs.

Comparative Analysis of Leaf Vegetable Productivity, Quality, and Profitability among Different Cultivation Modes: A Case Study

In recent years, vegetable production has been in the transitional stage from traditional cultivation mode to modern cultivation mode. Therefore, evaluating the actual productivity and economic benefits of different cultivation modes is instructive for leafy vegetable production. This research chose a vegetable production company (Shanghai, China) as a demonstration case to cultivate various leaf vegetables under different cultivation modes (hydroponic, substrate, and soil cultivation). By investigating the yield and quality of vegetables, as well as all production costs and selling prices, we drive a comparative evaluation of comprehensive features and economic benefits of different cultivation modes. The results showed that leafy vegetables cultivated by hydroponic mode gain the highest fresh weight at the early growth stage, but the greatest unit yield (0.98~1.21 kg·m−2) emerged under the soil cultivation mode. Vegetables grown under substrate mode had the best comprehensive quality with high soluble solids content and low nitrate content. The unit costs of the soilless cultivation modes (8.26~10.3 CNY·m−2) were 3–4-fold higher than that of soil cultivation, mainly due to the high fixed costs and input costs, especially for substrate mode. According to actual prices, the soil cultivation mode had the highest economic benefits as a whole (4.83~8.83 CNY·m−2), and only hydroponic cabbage which had comparable yield gained considerable benefits (8.94 CNY·m−2). Quality-based pricing scheme can make substrate mode achieve profitability. The pricing scheme that guarantees a 40% revenue is within acceptable limits for consumers. Based on this actual production case, it can be concluded that a low unit yield of hydroponic mode and a high unit cost of substrate mode are the predominant factors affecting their profitability and economic viability.

Techno-economic integration evaluation in shale gas development based on ensemble learning

For the development of shale gas, the accurate prediction of estimated ultimate recovery (EUR) has invariably been a hot and arduous issue that has attracted abundant attention from researchers. However, the intricate relationship between EUR and economic benefits of shale gas wells is frequently disregarded. Therefore, based on the basic geological and engineering parameters, this study carried out a joint multi-task modeling of investment cost and EUR evaluation, and creatively constituted a techno-economic integration evaluation framework for shale gas wells with internal rate of return (IRR) as the economic benefit evaluation target. Furthermore, the interaction graphs of investment cost and EUR on IRR are delineated to intuitively exemplify the relationship between EUR and economic benefits (IRR). The validity of the model is verified by the field data from 231 wells. The results show that the techno-economic integration evaluation framework of Blendstacking, which integrates multi-task joint modeling and integrated learning, can reliably evaluate investment costs and EUR. Concurrently, based on the evaluation results, the accurate prediction of IRR is realized. The mean prediction errors of investment cost and EUR are inferior to 50 ×104USD and 1400 ×104m3, respectively, and the mean error of IRR is regulated within 2.0%. This work can quickly and effectively predict the economic benefits of gas wells under complex geological and engineering factors, which facilitates expeditiously developing decision making. The research method can be extended to the economic benefit evaluation of other instance well datasets.

Effect of reed straw on the performance of recycled brick aggregate concrete and evaluation of economic benefits

In this study, brick aggregate reed straw concrete (BARSC) was prepared by utilizing reed straw with brick aggregate. Reed straw was soaked in NaOH solution and H2SO4 solution to test the water absorption, moisture absorption and tensile strength of the treated straw. The thermal conductivity, compressive strength, and tensile strength before and after the high temperature of BARSC were investigated, and the compressive strength-tensile strength conversion formula was established. Damage patterns were observed by scanning electron microscopy (SEM) and X-ray diffraction (XRD) tests. The results showed that the tensile strength of the straw soaked in NaOH solution increased, the water absorption increased and a significant shrinkage occurred, and after the test, the NaOH-soaked reed straw was not suitable to be added to the concrete. The thermal conductivity of BARSC at room temperature decreased by 15.9% compared with that of brick aggregate concrete (BAC) without reed straw, and the thermal conductivity gradually decreased with the increase of temperature. The tensile strength of BARSC increased by a maximum of 21.2% over that of BAC, with the 2% content of reed straw contributing the most to the tensile strength. Reed straw negatively affected the compressive strength, which decreased by a maximum of 20.2%. The compressive and tensile strengths of BARSC decreased significantly after high temperature. According to scanning electron microscopy analysis, the interfacial transition zone of the reed straw with the matrix was the weak point in the BARSC. The BARSC produced in this study provides a new idea for protecting the watershed environment and promoting green and sustainable development.