Economic Costs Research Articles

An innovation in the method of assessing the fire resistance of a reinforced concrete girderless ceiling of a building

The article presents a new method for assessing the fire resistance of monolithic girderless non-accumulating floors of buildings and structures. The essence of the method lies in the fact that thermal (fire) tests of the floor are carried out without destruction, according to a set of single indicators of the quality of working fittings and structural concrete of continuous slabs. The use of the method makes it possible to determine the fire resistance of an uncut reinforced concrete slab of a girderless ceiling of a building without full-scale fire exposure, increases the reliability of statistical quality control and non-destructive testing, reduces economic costs.

A consensus-based agreement on a definition of a process variable: findings from a New Zealand nominal group technique study.

Musculoskeletal pain and disability are leading causes of reduced health and significant economic costs worldwide. Individualised, and evidence-based treatment approaches for specific musculoskeletal conditions aimed at improving patient outcomes and costs have not been successful. Recently authors have suggested that the 'process' of how care is implemented within a health system needs to be considered as an influencer on patient outcomes. With the rising prevalence of musculoskeletal conditions and the burgeoning costs associated with their treatment, it seems timely that new research focusing on process variables and their influence on patients with musculoskeletal conditions is explored. Before such studies can take place, a modern definition of a process variable within a musculoskeletal care pathway is needed to anchor future research endeavours. Therefore, the aim of this study was to establish a consensus-based definition of a process variable within a musculoskeletal care pathway, based on a New Zealand setting. This study used a virtual nominal group technique and took place in July 2023 using a Microsoft Teams platform. A nominal group technique employs a structured approach to generate information and solutions to problems that can then be prioritised through group discussion and consensus. It is unique because it allows expert participants to explore using in-depth inquiry, areas previously unidentified or not yet investigated. There was an inclusion criterion and the participants completed pre-work before the two-hour five stage virtual meeting. The Auckland University of Technology Ethics Committee (AUTEC) approved this study (AUTEC 23/94). The study included eight participants (five male, three female) who had extensive experience with the New Zealand ACC insurance scheme and the design, implementation, and administration of musculoskeletal care pathways. The consensus definition was 'A health process variable is any modifiable factor in a health process or pathway that can be quantified and measured and that if varied may achieve a different operational or patient outcome'. This study of New Zealand-based experts has formed a consensus-based agreement for a definition of a process variable in a musculoskeletal care pathway. This is an important first step in developing our understanding of process variables, and further research is needed to establish the link between process variables and their influence on the outcomes of patients with musculoskeletal conditions.

Application of Hierarchical Bayesian Models for Modeling Economic Costs in the Implementation of New Diagnostic Tests

The COVID-19 pandemic has highlighted the need for reliable and rapid diagnostic tests to control the spread of infection. The introduction of new rapid antigen tests often goes in tandem with the limited data availability, making it challenging to assess their performance at the initial phase of the pandemic. Sensitivity and specificity, the key performance characteristics provided by manufacturers, are typically derived under laboratory conditions and may not accurately reflect the tests' performance in field settings. We use the hierarchical Bayesian model to obtain their realistic estimates in real world conditions and show how it may be used in situations in which new tests with limited history are presented on the market. Proposed methodology allows for the efficient information pooling, thereby improving on the accuracy of parameter estimates for new tests. The results suggest that the application of hierarchical model on the Czech data led to a considerabile reduction in uncertainty associated with the parameter estimates as well as with potential economic cost implied by false positive test results. The model can thus assist in better informed decision-making and financial planning of both the government and corporations.

From Neighborhood to Household: Connections Between Neighborhood Vacant and Abandoned Property and Family Violence.

Rates of family violence, including intimate partner violence (IPV) and child maltreatment, remain high in the USA and contribute to substantial health and economic costs. How neighborhood environment may influence family violence remains poorly understood. We examine the association between neighborhood vacant and abandoned properties and family violence, and the role collective efficacy may play in that relationship. Data were used from a longitudinal cohort of 218 maternal-child dyads in a southern US city known for elevated rates of violence. Women were matched on their propensity score, for living in a neighborhood with elevated vacant and cited properties. Analyses accounting for clustering in neighborhood and matched groups were conducted to examine the association between neighborhood vacant and abandoned property and family violence and the potential mediating relationship of collective efficacy. The likelihood of experiencing child maltreatment at 12months of age was more than twice as high for children living in neighborhoods with high vacant and cited property rates compared with women living in neighborhoods with fewer vacant and cited properties (OR = 2.11, 95% CI = 1.03, 4.31). Women living in neighborhoods characterized by high levels of vacant and cited properties were also more than twice as likely to report IPV (OR = 2.52, 95% CI = 1.21, 5.25). Associations remained mostly stable after controlling for key covariates. Collective efficacy did not act as a mediator in the relationship between vacant and cited properties and family violence. Reducing neighborhood vacant and cited properties may be an important target for interventions focused on reducing family violence.

Capturing Differential Quality of Experimental Evidence in a Predictive Quantum-Mechanical Model for Respiratory Sensitization.

Asthma is of concern in occupational toxicology with significant public-health and economic costs. In the absence of benchmark in vivo and in vitro tests, the use of mechanistically sound in silico models is critical to inform hazard and to protect workers from exposure to potentially harmful substances. We recently reported on the computer-aided discovery and REdesign (CADRE) model for respiratory sensitization, which relies on a tiered structure of expert rules, molecular simulations, quantum-mechanics calculations and advanced statistics to accurately identify respiratory sensitizers from first principles. Here, we present an update to this model based on two years of testing in the pharmaceutical space, where we captured the heterogeneity of the underlying experimental evidence in two predictive tiers, thus allowing the practitioner to select an outcome based on their expert assessment of the data reliability and relevance. This user-based tuning of predictive models is critical for end points that lack consensus on what constitutes satisfactory evidence to support a decision in the handling of chemicals for occupational safety.

An Analysis of the IMF’s International Carbon Price Floor

Abstract The International Monetary Fund (IMF) has proposed an International Carbon Price Floor (ICPF) arrangement among six major emitting economies (the US, EU, UK, Canada, China, and India) to scale up global climate mitigation action. Our quantitative analysis of the IMF’s ICPFs indicates that, compared to the committed policies of National Determined Contributions (NDCs), differentiated price floors are non-binding for developed countries – and therefore have a limited impact on their climate actions. However, for developing countries (e.g. China and India), the ICPFs effectively translate into substantial increases in carbon prices. Essentially, the ICPFs place additional responsibilities of emission reductions and economic costs fully on China and India. Given this gap between the participation incentives of developed and developing economies, we believe that the ICPF arrangement, in its current form, is unlikely to be adopted by major economies. To address this, we recommend that the IMF devote efforts to: (1) estimating the price equivalents of non-price policy instruments, as well as re-calibrating the desirable floors for broadly defined carbon prices; and (2) considering options to redistribute the economic benefits between developed and developing countries by increasing the availability of climate mitigation funds and low-carbon technologies to developing countries.

Cost‐efficiency and effectiveness of coral restoration pathways

Coral reefs play a crucial role in supporting over half a billion human livelihoods through their contributions to fisheries, tourism, and coastal protection. In light of substantial global declines in coral cover and the deterioration of reef habitats due to climate change and other human‐driven influences, the urgency of coral reef restoration has escalated to help preserve their vital ecosystem services. Comprehending the economic costs associated with existing and potential future coral restoration approaches has become time‐sensitive. The median cost of coral reef restoration is estimated to be 400,000 USD/ha (at base year 2010). This estimate comes with limitations due to its reliance on reported project costs associated with various techniques. Here we look to standardize expenses through uniform costing of reported efforts based on the time invested to estimate specific per‐unit costs for restoration methods. We complement literature‐extracted values with independent estimates based on real‐world operations. Using this approach, we decipher comparative costs of different nursery and outplanting approaches and identify incorporated dependencies. To gain insights into the impact of labor costs on global coral reef restoration expenditures, we examine variations in the costs of labor in two coral reef regions. Overall, our data‐based approach identifies limitations within the most commonly practiced restoration pathways, opportunities to reduce operational costs, and points toward priorities for future research and development.

How to make land use policy decisions: Integrating science and economics to deliver connected climate, biodiversity, and food objectives

Land use change is crucial to addressing the existential threats of climate change and biodiversity loss while enhancing food security [M. Zurek et al., Science 376, 1416-1421 (2022)]. The interconnected and spatially varying nature of the impacts of land use change means that these challenges must be addressed simultaneously [H.-O. Pörtner et al., Science 380, eabl4881 (2023)]. However, governments commonly focus on single issues, incentivizing land use change via "Flat-Rate" subsidies offering constant per hectare payments, uptake of which is determined by the economic circumstances of landowners rather than the integrated environmental outcomes that will be delivered [G. Q. Bull et al., Forest Policy Econ. 9, 13-31 (2006)]. Here, we compare Flat-Rate subsidies to two alternatives: "Land Use Scenario" allocation of subsidies through consultation across stakeholders and interested parties; and a "Natural Capital" approach which targets subsidies according to expected ecosystem service response. This comparison is achieved by developing a comprehensive decision support system, integrating new and existing natural, physical, and economic science models to quantify environmental, agricultural, and economic outcomes. Applying this system to the United Kingdom's net zero commitment to increase carbon storage via afforestation, we show that the three approaches result in significantly different outcomes in terms of where planting occurs, their environmental consequences, and economic costs and benefits. The Flat-Rate approach actually increases net carbon emissions while Land Use Scenario allocation yields poor economic outcomes. The Natural Capital targeted approach outperforms both alternatives, providing the highest possible social values while satisfying net zero commitments.

Transforming agricultural land into agrotourism area: Environmental, economic and socio-cultural perspectives

This study investigates the impacts of converting agricultural land into agrotourism areas on environmental, socio-cultural, and economic perspectives within Batukliang District, Central Lombok Regency, Indonesia. With a case study approach, this qualitative descriptive research employed interviews with three target groups: local farmers, residents, and tourism actors. The findings revealed seven key points identified as influences affecting the socio-cultural aspects of land change, including community impact, cultural preservation, cultural identity loss, community dynamics change, local cultural commercialization, cultural heritage loss, and traditional livelihoods. The results also unveiled nine financial impacts, 8 of which were associated with economic implications such as economic challenges, risk management, brand building, costs and investments, market access, increased revenue, and income diversity, which contribute positively to local economic development. The study concluded that integrating community involvement empowerment strategies, income diversification, sustainable farming promotion, and land-use regulation is crucial for developing a successful sustainable agrotourism destination.

Economic evaluation of the Liverpool heart failure virtual ward model.

A virtual ward (VW) supports patients who would otherwise need hospitalisation by providing acute care, remote monitoring, investigations, and treatment at home. By March 2024 the VW programme had treated 10 950 patients across six speciality VWs, including heart failure (HF). This evaluation presents the economic assessment of the Liverpool HF VW. A comprehensive economic cost comparison model was developed by York Health Economics Consortium (University of York) to compare the costs of the VW to standard hospital inpatient care (SC). The model included direct VW costs and additional costs across the care pathway. Costs and resource use for 648 patients admitted to the HF VW were calculated for 30 days post discharge and total cohort costs were extrapolated to a full year. Primary outcomes included costs related to length of stay, readmissions, and NHS 111 contact. The total cost for the HF VW pathway, including set-up costs, was £467 524. This results in an incremental net cost benefit of £735 512 compared to the total SC cost of £1 203 036, indicating a substantial net cost benefit of £1 135 per patient per episode (PPPE). This advantage remains despite initial setup expenses and ongoing costs such as home visits, virtual consultations, point-of-care (POC) testing and home monitoring equipment. Our HF VW model offers a substantial net cost benefit, driven by reduced hospital stays, fewer emergency department visits, and lower readmission rates. The study highlights the importance of considering system-wide impacts and continuous monitoring of VWs as they develop.

CO₂ sequestration and soil improvement in enhanced rock weathering: A review from an experimental perspective

AbstractEnhanced rock weathering (ERW) is an emerging negative emission technology (NET) with significant potential for mitigating climate change and improving soil health through the accelerated chemical weathering of silicate minerals. This study adopts a critical research approach to review existing ERW experiments, focusing on the mechanisms of soil improvement and CO₂ sequestration, as well as the economic costs and environmental risks associated with its large‐scale implementation. The results demonstrate that while ERW effectively enhances soil pH and provides essential nutrients for crops, its CO₂ sequestration capacity is highly dependent on variables such as soil type, rock type, application rate, and particle size. Furthermore, the economic feasibility of ERW is challenged by high costs related to mining, grinding, and transportation, and environmental risks posed by the release of heavy metals like Ni and Cr during the weathering process. Notably, significant discrepancies exist between laboratory experiments and field applications, highlighting the need for extensive in‐situ monitoring and adjustment of ERW practices. This study underscores the importance of optimizing ERW strategies to maximize CO₂ sequestration while minimizing environmental impacts. Future research should focus on long‐term field experiments, understanding secondary mineral formation, and refining the application techniques to enhance the overall efficiency and sustainability of ERW. © 2024 Society of Chemical Industry and John Wiley & Sons, Ltd.

The economics of pandemics: Some useful lessons from the past

The mortality crisis induced by historical pandemics has had relevant effects. It expressed a regulatory role in the balance between population and available resources. It reduced the human capital available to work, making greater its bargaining capacity, resulting in an increase in wages. The disappearance of some of the landowners favoured a process of unification of landed properties and a concentration of wealth. The regulatory function of economic processes fostered by the mortality crisis is attenuated with the start of the Industrial Revolution, to the point of almost extinguishing itself in today's pandemic crisis. This notwithstanding, the strategies to combat mortality impose high economic costs and intervene to alter the functionality of a globalized economy. Pandemics continue to represent an element of caesura between historical periods, with a clear distinction between a before and an after. This article describes past pandemics and identifies possible lessons that can be drawn in the economic field from those events, being aware of how distant our connected and globalized world is from those times. Covid-19 has so far caused the deaths of more than two million people. In relative terms the figure is very low in comparison to previous pandemics. The much lower mortality is matched by an incomparable economic damage.

Assessing the environmental and economic impacts of intracity express delivery: Pathways for carbon reduction and cost efficiency in China

With the rapid development of e-commerce, the environmental impacts and economic costs of intracity express delivery, along with reduction pathways, however, remain largely unexplored. Therefore, we compiled carbon emission inventories of express delivery at the intracity scale covering the entire process from warehouse to consumers. Additionally, five pathways were designed and compared to explore the feasible measures for coordinated carbon reduction and cost-effective efficiency improvements, incorporating new technologies such as electric vehicles and autonomous driving. The results show that carbon emissions from intracity express delivery in China surged from 97 kt in 2013 to 1143 kt in 2021. A series of measures could reduce carbon emissions by 64.86 % (741.287 kt) through the electrification of gasoline vehicles, although the vehicle cost of electric vehicles would triple. If unmanned electric vehicles are used for the last mile of express delivery, the economic costs could decrease significantly by 77.77 % (US$36.693 billion), reducing the cost per express from US$0.436 down to US$0.097. Our study could provide a theoretical basis for the sustainable development and costs reduction of China's express delivery industry.

Cost-effectiveness of using granulocyte colony-stimulating factor in the treatment of uterine body leiomyosarcomas. A retrospective analysis

Background. The main approach in the treatment of patients with uterine leiomyosarcoma is surgery followed by chemotherapy, which is the basis of treatment. Febrile neutropenia (FN) is a life-threatening condition, so the use of granulocyte colony-stimulating factor (G-CSF) after each cycle of chemotherapy in this category of patients remains an integral part. Aim. To evaluate the pharmacoeconomic efficacy of the use of short and long-acting G-CSF forms in a round-the-clock inpatient facility (RIF). Materials and methods. A retrospective analysis of economic expenditures was performed at the Chelyabinsk Regional Clinical Center of Oncology and Nuclear Medicine in the RIF setting for the period from January 2018 to December 2023 for the treatment of 62 patients with high-grade uterine leiomyosarcomas of stage IB–IVA according to the classification of the International Federation of Gynecology and Obstetrics (2009). All patients underwent surgical treatment, complete hysterectomy with appendages, followed by antitumor drug therapy with a high risk of FN. In the economic cost analysis, the treatment regimens gemcitabine 900 mg/m2 on day 1 and day 8 + docetaxel 100 mg/m2 + empegfilgrastim (regimen code sh1207.1) and gemcitabine 900 mg/m2 on day 1 and day 8 + docetaxel 100 mg/m2 + filgrastim (regimen code sh1070) were compared. The costs of clinical blood tests and staying in RIF were also considered. Results. The stay in the RIF was 9 bed days with a long-acting G-CSF regimen and 15 days with a short-acting G-CSF regimen. When using a treatment regimen with filgrastim in 6 patients, the number of bed days increased to 18 due to persistent neutropenia. No FN events were reported. The calculations consisted of the cost of a bed day in the RIF (1,660 rubles) and purchasing of short- and long-acting G-CSF, without the cost of the main therapy. The costs of treating patients with short-acting G-CSF were comparable to those with long-acting G-CSF. Conclusion. The regimen with long-acting G-CSF is effective, easy to use, and cost-effective in RIF settings.

An Outbreak of Porcine Reproductive and Respiratory Syndrome Virus (PRRSV) in a German Boar Stud: A Retrospective Analysis of PRRSV Shedding in Boar Semen

The porcine reproductive and respiratory syndrome virus (PRRSV) causes high economical costs due to reduced productivity and losses in pig production. The virus can infect sow herds through various routes. One possible risk factor is the transmission of PRRSV through artificial insemination with infected boar semen. For these reasons, conventional boar studs should be closely monitored to detect an outbreak of PRRSV at an early stage. In the presented retrospective study, 2184 fresh semen samples from 336 boars were investigated (RT-qPCR) after an accidental PRRSV introduction to the herd. Hence, the different shedding profiles of PRRSV via semen resulted in 42.2% where no virus was detected, 2.0% intermittent shedding, and 8.4% permanent shedding. The duration of viral shedding varies from 2 days to 83 days post outbreak (on average 33 days). A significant impact of breed on PRRSV shedding duration could not be shown. Also, the distribution of the shedding profile does not follow a consistent mode, indicating that not every boar is shedding the virus via semen.

Econometrics of Climate Change Research

The econometrics of climate change explores the intricate interplay between economic activity and climate dynamics, offering empirical insights into the causes, impacts, and mitigation of global climate change. This research applies advanced econometric techniques to quantify the economic consequences of environmental changes and evaluate the effectiveness of climate policies. By leveraging panel data models, time-series analysis, and causal inference methods, this study investigates critical topics such as the economic costs of extreme weather events, the efficacy of carbon pricing mechanisms, and the role of renewable energy adoption in mitigating climate risks. Additionally, this research incorporates machine learning techniques to enhance predictive accuracy in modeling future climate-economic interactions. Through rigorous empirical analysis, the study provides actionable recommendations for policymakers to design sustainable strategies that balance economic growth with climate resilience. The findings contribute to a deeper understanding of the socioeconomic dimensions of climate change, emphasizing the importance of evidence-based decision-making in addressing one of humanity’s most pressing challenges.

Historical Insights into CO2 Emission Dynamics in Urban Daily Mobility: A Case Study of Lyon’s Agglomeration

CO2 emissions from urban daily mobility play a major role in both environmental degradation, rising economic costs, and sustainability. Reducing these emissions not only advances environmental sustainability but also fosters economic development by enhancing public health, lowering energy consumption, and alleviating the financial strain caused by climate change. Understanding the dynamics of CO2 emissions from urban daily mobility provides valuable historical insights into environmental impacts and economic costs tied to urban development. This study takes a historical perspective, examining changes in CO2 emissions associated with daily mobility in the Lyon agglomeration across two decades, drawing on data from the 1995 and 2006 household travel surveys. Our findings reveal that individual factors such as gender, age, employment status, and income significantly influence CO2 emissions, with males and full-time workers exhibiting higher emissions. Furthermore, household characteristics, including size and vehicle ownership, are critical in shaping emission levels, while urban form variables such as population density and mixed land use demonstrate a negative correlation with emissions, highlighting the importance of urban planning in mitigating CO2 output. The analysis emphasizes that greater accessibility and proximity to essential services are vital in reducing individual emissions. Based on these insights, we discuss the implications for policy design, suggesting targeted strategies to enhance urban mobility, improve public transport accessibility, and promote sustainable urban development. Finally, we outline directions for future research to further explore the intricate relationship between urban characteristics and emissions, ultimately aiming to contribute to the development of effective climate policies.

The economic costs and consequences of (insufficient) sleep: a case study from Latin America.

Sleep, an essential physiological process, has long been recognized for its critical role in human health and well-being. Beyond its biological significance, recent research has highlighted the intricate interplay between sleep and economic outcomes. By constructing meticulous economic models that account for diverse factors and refining them based on empirical data and local characteristics, this study aims to provide an in-depth understanding of the significant economic toll stemming from inadequate sleep and its ramifications on various aspects of society. Here we calculated the effect of insufficient sleep on economic loss in Argentina, according to an Overlapping Generations (OLG) model that considers average sleeping length in terms of the recommended minimum and its effect on productivity and health outcomes. We considered different scenarios in which the population sleeps from six to nine hours every night. Our results indicate that if the whole adult population achieved the recommended sleep duration of at least 7h/night, it would be associated with a 1.27% higher GDP compared to the baseline scenario, representing the most optimistic outcome. This equals about 3.7 times the total annual budget in science, and is approximately the same percentage as the actually implemented national budget for education. In summary, by bridging the usually distant realms of biology and economics, this study offers a comprehensive analysis that not only deepens our understanding of the mechanisms underlying these costs but also provides potential avenues for intervention and policy-making.

Closed-Loop Process of Extracting and Separating Zinc Impurities from Industrial Cobalt Products—Pilot Test Study

The cobalt-containing products of an enterprise were selected as the object of this study. The separation effect of Cyanex 272 on Zn and Co was studied through a pilot test. The results showed that Cyanex 272 had a high extraction rate for Zn at pH 3–3.4, up to 99.8%. The extracted Zn2+ was enriched in the organic phase, and the Zn2+ in the organic phase was extracted back into the aqueous phase in the stripping stage by adding strong acid. Addition amounts of strong acid of 50 g·L−1, 80 g·L−1, and 100 g·L−1 were set. The results showed that the addition amounts of 80 g·L−1 and 100 g·L−1 could significantly reduce the pH of the back-extraction solution and effectively enrich Zn2+ in the solution. There was a large amount of Zn2+ in the back-extraction solution, which could be used twice to prepare zinc carbonate products through neutralization and precipitation. By comparing the extraction effect, economic cost, and resource loss under different strong acid addition amounts, it was found that the 80 g·L−1 strong acid addition amount was more suitable for the actual production process. This study provides data support and practical evidence for the selection of industrial extraction process parameters for Zn2+ separation in actual cobalt products.

NOISE POLLUTION AND ITS EFFECTS ON HUMAN HEALTH: A REVIEW

Noise pollution is a pervasive environmental issue with significant adverse effects on human health. This abstract explores the impact of noise pollution on both physical and mental well-being, emphasizing its role in increasing risks for cardiovascular diseases, hearing loss, sleep disturbances, and cognitive impairments. Vulnerable populations, including children and the elderly, are particularly affected by high noise levels, which exacerbate stress, anxiety, and depression, and impair cognitive development in children. The economic implications of noise pollution are considerable, with substantial costs associated with healthcare and productivity losses, as well as negative effects on community cohesion and quality of life. Effective noise management is essential, requiring robust regulations, improved urban planning, and heightened public awareness. Further research is needed to understand the long-term health impacts, refine noise reduction technologies, and assess effects on specific populations. Interdisciplinary studies will be crucial in developing comprehensive strategies to mitigate the health impacts of noise pollution. KEYWORDS: Noise Pollution; Health Impacts; Noise Reduction Technologies; Economic Costs; Interdisciplinary Research