87 resultados para Life cycle cost analysis


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Labour markets, like all market institutions, exhibit structural and dynamic characteristics. Both the structural and dynamic characteristics of labour markets inevitably change and evolve over time in response to a host of exogenous and endogenous factors. In the case of the Australian labour market, structural changes are reflected in significant shifts in the industry and occupational composition of employment, the decline of full-time work and the concomitant rise in part-time and atypical forms of employment, demographic changes in the labour force, as well as changes in social and individual preferences. Dynamic shifts can be found in cyclical pattern of employment and wages growth, the growth in labour mobility, and transitions between various labour market states.
The starting point for this paper is that these structural and dynamic changes have given rise to an increase in the likelihood that individuals will experience a transition between various labour market states, and a greater diversity in the range of transitions they may experience over their working life. This acceleration in the rate of transition generates ‘transition costs’ for both employers and employees, as well the likelihood of mismatch between employer and employee working time preferences. As a consequence, existing labour market policy regimes, based on the traditional model of labour market participation over the life course may not provide adequate protection for most workers today.
Gunther Schmid (1998) and others have proposed institutional reforms which promote ‘transitional labour markets’. Transitional labour market institutions are those that allow individuals (and firms) to successfully adjust to critical events. While transitional labour market institutions may consist of traditional ‘active labour market policy’ mechanisms, Schmid and others have proposed a range of innovative policy responses which allow individuals (and firms) to adjust the intensity of their abour market participation over the life cycle. In this paper we use the general approach of advocated by the transitional labour market concept to do three things. First, we investigate the processes by which the nature of labour market transitions has changed over time. Second, we review the range of policy options available to government to smooth labour market dysfunctions associated with labour market transitions, with the objective of ensuring labour markets operate more efficiently and more equitably. Third, we focus on one possible way in which an existing labour market institution, Long Service Leave (LSL), could be reformed to make way for a more comprehensive transitional labour market institution in the form of a ‘working time bank’.

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Growing global concern regarding the rapid rate at which humans are consuming the earth’s precious natural resources is leading to greater emphasis on more effective means of providing for our current and future needs. Energy and fresh water are the most crucial of these basic human needs. The energy and water required in the operation of buildings is fairly well known. Much less is known about the energy and water embodied in construction materials and products. It has been suggested that embodied energy typically represents 20 times the annual operational energy of current Australian buildings. Studies have suggested that the water embodied in buildings may be just as significant as that of energy. As for embodied energy, these studies have been based on traditional analysis methods, such as process and input-output analysis. These methods have been shown to suffer from errors relating to the availability of data and its reliability. Hybrid methods have been developed in an attempt to provide a more reliable assessment of the embodied energy and water associated with the construction of buildings. This paper evaluates the energy and water resources embodied in a commercial office building using a hybrid analysis method based on input-output data. It was found that the use of this hybrid analysis method increases the reliability and completeness of an embodied energy and water analysis of a typical commercial building by 45% and 64% respectively, over traditional analysis methods. The embodied energy and water associated with building construction is significant and thus represents an area where considerable energy and water savings are possible over the building life-cycle. These findings suggest that current best-practice methods of embodied energy and water analysis are sufficiently accurate for most typical applications, but this is heavily dependent upon data quality and availability.

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Background and Purpose-: Little is known about any variations in resource use and costs of care between stroke subtypes, especially nonhospital costs. The purpose of this study was to describe the patterns of resource use and to estimate the first-year and lifetime costs for stroke subtypes.

Methods-: A cost-of-illness model was used to estimate the total first-year costs and lifetime costs of stroke subtypes for all strokes (subarachnoid hemorrhages excluded) that occurred in Australia during 1997. For each subtype, average cost per case during the first year and the present value of average cost per case over a lifetime were calculated. Resource use data obtained in the North East Melbourne Stroke Incidence Study (NEMESIS) were used.

Results-: The present value of total lifetime costs for all strokes was Aus $1.3 billion (US $985 million). Total lifetime costs were greatest for ischemic stroke (72%; Aus $936.8 million; US $709.7 million), followed by intracerebral hemorrhage (26%; Aus $334.5 million; US $253.4 million) and unclassified stroke (2%; Aus $30 million; US $22.7 million). The average cost per case during the first year was greatest for total anterior circulation infarction (Aus $28 266). Over a lifetime, the present value of average costs was greatest for intracerebral hemorrhage (Aus $73 542), followed by total anterior circulation infarction (Aus $53 020), partial anterior circulation infarction (Aus $50 692), posterior circulation infarction (Aus $37 270), lacunar infarction (Aus $34 470), and unclassified stroke (Aus $12 031).

Conclusions-: First-year and lifetime costs vary considerably between stroke subtypes. Variation in average length of total hospital stay is the main explanation for differences in first-year costs.

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Background and Purpose—— Accurate information about resource use and costs of stroke is necessary for informed health service planning. The purpose of this study was to determine the patterns of resource use among stroke patients and to estimate the total costs (direct service use and indirect production losses) of stroke (excluding SAH) in Australia for 1997.

Methods—— An incidence-based cost-of-illness model was developed, incorporating data obtained from the North East Melbourne Stroke Incidence Study (NEMESIS). The costs of stroke during the first year after stroke and the present value of total lifetime costs of stroke were estimated.

Results——
The total first-year costs of all first-ever-in-a lifetime strokes (SAH excluded) that occurred in Australia during 1997 were estimated to be A$555 million (US$420 million), and the present value of lifetime costs was estimated to be A$1.3 billion (US$985 million). The average cost per case during the first 12 months and over a lifetime was A$18 956 (US$14 361) and A$44 428 (US$33 658), respectively. The most important categories of cost during the first year were acute hospitalization (A$154 million), inpatient rehabilitation (A$150 million), and nursing home care (A$63 million). The present value of lifetime indirect costs was estimated to be A$34 million.

Conclusions—— Similar to other studies, hospital and nursing home costs contributed most to the total cost of stroke (excluding SAH) in Australia. Inpatient rehabilitation accounts for {approx}27% of total first-year costs. Given the magnitude of these costs, investigation of the cost-effectiveness of rehabilitation services should become a priority in this community.

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Implementation of integrated catchment management (ICM) is hampered by the lack of a conceptual framework for explaining how landowners select farming systems for their properties. Benefit–cost analysis (a procedure that estimates the costs and benefits of alternative actions or policies) has limitations in this regard, which might be overcome by using multiple-criteria decision analysis (MCDA). MCDA evaluates and ranks alternatives based on a landowner's preferences (weights) for multiple-criteria and the values of those criteria. A MCDA approach to ICM is superior to benefit–cost analysis which focuses only on the monetary benefits and costs, because it: 1) recognizes that human activities within a catchment are motivated by multiple and often competing criteria and/or constraints; 2) does not require monetary valuation of criteria; 3) allows trade-offs between criteria to be measured and evaluated; 4) explicitly considers how the spatial configuration of farming systems in a catchment influences the values of criteria; 5) is comprehensive, knowledge-based, and stakeholder oriented which greatly increases the likelihood of resolving catchment problems; and 6) allows consideration of the fairness and sustainability of land and water resource management decisions. A MCDA based on an additive, multiple-criteria utility function containing five economic and environmental criteria was used to score and rank five farming systems. The rankings were based on the average criteria weights for a sample of 20 farmers in a US catchment. The most profitable farming system was the lowest-ranked farming system. Three possible reasons for this result are evaluated. First, the MCDA method might cause respondents to express socially acceptable attitudes towards environmental criteria even when they are not important from a personal viewpoint. Second, the MCDA method could inflate the ranks of less profitable farming systems for the simple reason that it allows the respondent to assign non-zero weights to non-economic criteria. Third, the MCDA might provide a better framework for evaluating a landowner's selection of farming systems than the profit maximization model.

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A major contributory factor to poor project performance in the construction industry is known to be the lack of integration and coordination between the different disciplines involved in various stages of the procurement process. Attempts by researchers to address this problem have met with limited success, as they have focused mainly on adapting integration techniques originally developed for use in the manufacturing industry. There is therefore a need to develop a detailed understanding of the fundamental sciences that underpin the problem of integrating the procurement process across the construction project life cycle. Presents and discusses a research model for addressing major methodological issues in the analysis of design/construction relationships.

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We analyse the wood and concrete designs of the Wälludden building described by Börjesson et al. (Energy Policy 28 (2000) 575) in terms of their embodied energy, employing an environmentally extended input–output framework in a tiered hybrid life-cycle assessment, and in a structural path analysis. We illustrate the complexity of the inter-industry supply chains underlying the upstream energy requirements for the building options, and demonstrate that higher-order inputs are difficult to capture in a conventional process analysis. Our calculations show that Börjesson and Gustavsson's estimates of energy requirements and greenhouse gas emissions are underestimated by a factor of about 2, and that corresponding greenhouse gas balances are positive at about 30 t C-eq. Nevertheless, Börjesson and Gustavsson's general result—the concrete-framed building causing higher emissions—still holds.

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Clubroot, caused by Plasmodiophora brassicae, is the most devastating soil-borne disease of vegetable brassicas. It occurs all over the world and is responsible for crop losses of up to 10% every year. In Australia, the disease is being managed effectively with chemicals and cultural practices, but ideally control can be improved in the long term by the introduction of resistant cultivars. The life cycle ofP. brassicae and mode of action of plant resistance has not been fully elucidated because of the technical difficulties of working with an obligate, soil-borne plant pathogen. However, Arabidopsis thaliana, which is a host ofP. brassicae, has great potential as a model system for studying the life cycle, the infection process and development of resistance. We have developed a sand-liquid-culture system for growing Arabidopsis that allows easy observation of all life stages and, most importantly, the primary plasmodial stages within the root hair. The method was first optimised for observations of the lifecycle of the pathogen in a susceptible Arabidopsis ecotype (Col-3) where all stages of the lifecycle have now been observed and characterised. Further screening of Arabidopsis ecotypes for disease resistance has utilised one of the most virulent Australian pathotypes of brassica (ECD number 16/19/31). To date, Arabidopsis ecotype Ta-0 has shown a level of tolerance to the disease even though the roots get infected. It has been reported earlier that resistance toP. brassicae in Arabidopsis is due to one or a small number of genes. To examine changes in gene expression during the early, critical stages of infection, RNA was extracted from the susceptible and resistant ecotypes at two time points, 4 days and 17 days after inoculation. Microarray analysis will be used to investigate genome wide changes in gene expression during infection but also to identify candidate genes that may confer resistance to Australian isolates of the pathogen.

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We study the optimal size of a pay-as-you-go social security program for an economy composed of both permanent-income and hand-to-mouth consumers. While previous work on this topic is framed within a two-period partial equilibrium setup, we study this issue in a life-cycle general equilibrium model. Because this type of welfare analysis depends critically on unobservable preference parameters, we methodically consider all parameterizations of the unobservables that are both feasible and reasonable—all parameterizations that can mimic key features of macro data (feasible) while still being consistent with micro evidence and convention (reasonable). The baseline model predicts that the optimal tax rate is between 6 percent and 15 percent of wage income.

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To help avoid conflict and even market rejection, the design and introduction of new technologies can be aided by consideration of the potential concerns of different stakeholder groups. An assessment of their desired goals for technological change may be useful for pre-empting changes in the  parameters of acceptability for technologies. As part of a research  programme evaluating the parameters of acceptability for bio-based  technologies using life cycle assessment of products and an analysis of the  perceptual frameworks of stakeholders, respondents from four stakeholder  groups in New Zealand were interviewed about the desirable and  undesirable trajectories for chemical modification technologies. Three  examples of pine decking products derived using different amounts and  types of chemical modification served to help explore the contemporary  criteria and rationale for acceptability. The responses of the 70 respondents  in those four groups indicated that new technologies need to be able to  prove their worth with regard to both tangible and intangible qualities if they  are to be accepted into the market in the place of either the existing product  or an inorganic competitor.

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Aim: Costs associated with mental health treatment for young persons at 'ultra' high risk (UHR) of developing a psychotic disorder have not previously been reported. This paper reports cost implications of providing psychological and pharmacological intervention for individuals at UHR for psychosis compared with minimal psychological treatment.

Method: Mental health service costs associated with a randomized controlled trial of two treatments (Specific Preventive Intervention: SPI and Needs-Based Intervention: NBI) for UHR young persons were estimated and compared at three time points: treatment phase, short-term follow up and medium-term follow up.

Results: Although the SPI group incurred significantly higher treatment costs than the NBI group over the treatment phase, they incurred significantly lower outpatient treatment costs over the longer term.

Conclusion: This study indicates that specific interventions designed to treat young persons who are identified as being at UHR of psychosis might be associated with some cost savings compared with non-specific interventions.

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Front-of-pack ‘traffic-light’ nutrition labelling has been widely proposed as a tool to improve public health nutrition. This study examined changes to consumer food purchases after the introduction of traffic-light labels with the aim of assessing the impact of the labels on the ‘healthiness’ of foods purchased. The study examined sales data from a major UK retailer in 2007. We analysed products in two categories (‘ready meals’ and sandwiches), investigating the percentage change in sales 4 weeks before and after traffic-light labels were introduced, and taking into account seasonality, product promotions and product life-cycle. We investigated whether changes in sales were related to the healthiness of products. All products that were not new and not on promotion immediately before or after the introduction of traffic-light labels were selected for the analysis (n = 6 for ready meals and n = 12 for sandwiches). For the selected ready-meals, sales increased (by 2.4% of category sales) in the 4 weeks after the introduction of traffic-light labels, whereas sales of the selected sandwiches did not change significantly. Critically, there was no association between changes in product sales and the healthiness of the products. This short-term study based on a small number of ready meals and sandwiches found that the introduction of a system of four traffic-light labels had no discernable effect on the relative healthiness of consumer purchases. Further research on the influence of nutrition signposting will be needed before this labelling format can be considered a promising public health intervention.

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Recent studies have shown the important roles that new high growth firms can play in job creation and economic development. This paper reviews the positioning of present Australian government policies and programs that intend to be supportive of the development of more high growth businesses; that is those that employ greater than twenty persons. The research explores the environments of a group of new high growth Australian firms and the roles that the various identified government support initiatives have played in their development. The paper also draws on recent research on survival and growth patterns of spin-off companies generated by publicly funded research agencies to map the government support initiatives with the different stages of the high growth business life cycle. The paper reviews issues in the Australian business environment that may have affected the rate of generation of new high growth firms. Of particular relevance has been the progressive freeing up of the Australian labour market and a greater resource allocation to research commercialisation by publicly funded research providers. The analysis has finally separately considered how to produce and support more founders of such high growth firms, their future chief executive officers, the specialist consultants and other professional support people and issues related to access to finance that such firms will need. The research findings draw attention to the important role of government financial support for industry research, particularly at the point where the first product is in the market and resources are scarce. At this point support is vital both to increase the market penetration of the core product and for R&D for product customisation and increasing the product range.

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Anti-malware software producers are continually challenged to identify and counter new malware as it is released into the wild. A dramatic increase in malware production in recent years has rendered the conventional method of manually determining a signature for each new malware sample untenable. This paper presents a scalable, automated approach for detecting and classifying malware by using pattern recognition algorithms and statistical methods at various stages of the malware analysis life cycle. Our framework combines the static features of function length and printable string information extracted from malware samples into a single test which gives classification results better than those achieved by using either feature individually. In our testing we input feature information from close to 1400 unpacked malware samples to a number of different classification algorithms. Using k-fold cross validation on the malware, which includes Trojans and viruses, along with 151 clean files, we achieve an overall classification accuracy of over 98%.