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An alternative algorithm has been developed for computing the behaviour of flows within arbitrary ducts and channels. This technique requires a small number of downstream marches in the primary flow direction, employing, on each march, numerically efficient procedures originally developed for a single sweep non‐elliptic flow solver. The multiple sweeps allow the capture of effects such as upstream pressure influences and streamwise recirculation. The energy equation is also solved to allow for varying heat transfer between the fluid and the boundary walls. The numerical work is further complicated by considering flows within turning sections of ducts which demonstrate large transverse velocities and consequent distortion of the primary flow. The computations are validated by comparison with a number of fluid/heat transfer experiments. The majority of these are taken from studies of turning flows within circular arc ducts which display the various pressure and transverse flow phenomena for which this new algorithm was initially developed to represent.

TQM has its share of critics who are always quick to highlight the number of companies abandoning TQM programmes. When TQM fails, we call this a case of chronic TQM fatigue. Outlines typical symptoms. Suggests two ways an organization can prevent the onset of chronic fatigue. Concludes that these two remedies supplement the bottom‐up approaches to TQM that are commonly prescribed.

Addresses modelling liability for legal negligence and the marginal cost of accidents, with special reference to the ageing and maintenance of the components of electric transmission and distribution lines. The methodology, which is based on the formula‐tion suggested by Judge Learned Hand, considers the use of a conditional failure distribution related to the age and degradation of a component to define the accident probability. Discusses issues of engineering risk, cost‐benefit and limited resources in the context of a “reasonable standard of care” and the common law question of “how safe is safe enough”?

^{States that, although there has been considerable progress with the implementation of total quality management in Australia and New Zealand over the past 15 years since it was pioneered in the manufacturing sector, there is still not a widespread acceptance and implementation of it. As a result, while the best companies in these countries are achieving high levels of competitiveness, the bulk of companies are still reporting mediocre performance in critically important areas such as customer satisfaction. Details how some of Australia and New Zealand’s leading companies have implemented quality improvement initiatives. Reports on a large survey of companies showing that on average, self‐reported measures of employee morale, customer satisfaction and the extent of dissemination of customer requirements throughout a workforce are particular areas for improvement.}

This paper uses a stakeholder approach to examine how the role of accounting and the status of accountants changed over a 30 year period (1970 to 2000) in a major Australian government trading enterprise. Data are gathered from semi‐structured interviews with organizational participants and documentation. The study provides support for the importance of stakeholders in shaping organizational processes and practices, including accounting practices, and for the effects of changes in stakeholder constituency and agenda on such practices. The study also provides evidence of the roles accounting and accountants may play in implementing a stakeholder agenda, including both instrumental and symbolic roles, and how the status of accountants may rise and fall commensurate with those roles.

In the early 1990s, the Thai government initiated a process of reform of the electricity industry with the argument that such reform would improve the performance of the industry and contribute to enhancing the overall economic prosperity. The purpose of this paper is to examine the veracity of this argument by analysing both the technical and environmental performance of the Thai electricity industry.

A data envelopment analysis‐based methodology is employed in this study to measure the productivity of the Thai electricity industry, for the period 1980‐2006. This method enables the decomposition of productivity changes into technical and efficiency changes, and hence enables one to determine if changes in productivity are due to electricity reform (efficiency gains) or due to autonomous technological improvements.

The study reveals that the increase in the productivity of the Thai electricity industry over the period 1980‐2006 was mainly driven by technological improvements and that industry reform has had insignificant impact on productivity. Further, the impacts of electricity reform on the environment appear to be relatively modest – this too was driven by government regulation that supports the use of less environmentally detrimental fuels for electricity generation by the private producers, rather than electricity reform.

The analysis in this paper contributes to the literature on productivity and efficiency, by applying the DEA method to a time series data for a single industry. Additionally, the analysis of environmental performance of the Thai electricity industry – to the best of knowledge of the authors – is the first of its kind for the Thai electricity industry.

The most problematic area of any carbon policy debate is the treatment of incumbent CO2 intensive coal‐fired electricity generators. Policy applied to the electricity sector is rarely well guided by macroeconomic theory and modeling alone, especially in the case of carbon where the impacts are concentrated, involve a small number of firms and an essential service. The purpose of this paper is to examine the consequences of poor climate change policy development on the efficiency of capital markets within the Australian electricity sector.

The authors conducted a survey of Australian project finance professionals to determine the risk profiles to be applied to the electricity sector, in the event a poorly‐designed climate change policy is adopted.

The Australian case study finds that if zero compensation results in the financial distress of project financed coal generators, finance costs for all plant rises, including new gas and renewables, leading to unnecessary increases in electricity prices. Accordingly, an unambiguous case for providing structural adjustment assistance to coal generators exists on the grounds of economic efficiency.

Accordingly, the paper shows that an unambiguous case for providing structural adjustment assistance to coal generators exists, on the grounds of economic efficiency.

Climate change policies such as carbon taxes and emissions trading schemes are being developed and implemented in ways which fundamentally transform the profitability of industries and businesses. While mandatory reporting of greenhouse gas emissions by individual Australian companies is now largely standardised, the financial implications of emissions trading and other forms of climate change policy are poorly understood. This paper aims to discuss these issues.

A literature review was conducted of financial analyst research on this issue and determined that this poor understanding is the result of either insufficient information being available to adequately evaluate the risk to business or a lack of understanding about how carbon policies will impact on business.

This paper proposes a “checklist” for evaluation of the risks and opportunities created by pricing carbon to address this analytical chasm. Most importantly, like any significant tax reform, the paper concludes that it is impossible to create simple metrics that can be used across all industries and companies.

The paper outlines, for the first time, a checklist for analysis of the impacts of carbon pricing on Australian businesses.

In recognition of the urgency of the global need to reduce CO₂ emissions from the electricity sector, the purpose of this paper is to analyze the cost‐effectiveness of nuclear power and fossil‐fuel‐based power with and without the provision of carbon capture and storage in select, yet environmentally‐significant, group of countries – China, India, Russia, Korea, Pakistan, Poland, Argentina, Bulgaria and Romania.

The analyses are based on comparisons of electricity generation costs for nuclear and fossil‐fuel technologies. These costs, expressed in present value terms, are estimated on the basis of life‐cycle costs, employing detailed country‐specific technological and economic data and assumptions.

The analyses suggest that that the provision of carbon capture and storage is likely to result in a significant increase in the cost of electricity produced from fossil fuels (principally coal) in all countries represented in this paper. Such increase would completely erode the existing cost advantage enjoyed by fossil‐fuel power (in relation to nuclear power) in some countries (Argentina, Bulgaria, China, and India) and considerably enhance the existing cost‐advantage of nuclear power in other countries (Korea, Pakistan, Poland, Romania, and Russia).

Notwithstanding these limitations, the findings of this paper contribute appreciably to the emerging knowledge on this topic and provide useful foresight into the likely challenges of developing internationally acceptable policy prescriptions for mitigation CO₂ emissions from the electricity sector. At a mundane, yet important, level, this paper establishes a platform on which further analyses could be built.

On the one hand, this paper is to further understand the residents' differentiated power consumption behaviors and tap the residential family characteristics labels from the perspective of electricity stability. On the other hand, this paper is to address the problem of lack of causal relationship in the existing research on the association analysis of residential electricity consumption behavior and basic information data.

First, the density-based spatial clustering of applications with noise method is used to extract the typical daily load curve of residents. Second, the degree of electricity consumption stability is described from three perspectives: daily minimum load rate, daily load rate and daily load fluctuation rate, and is evaluated comprehensively using the entropy weight method. Finally, residential customer labels are constructed from sociological characteristics, residential characteristics and energy use attitudes, and the enhanced FP-growth algorithm is employed to investigate any potential links between each factor and the stability of electricity consumption.

Compared with the original FP-growth algorithm, the improved algorithm can realize the excavation of rules containing specific attribute labels, which improves the excavation efficiency. In terms of factors influencing electricity stability, characteristics such as a large number of family members, being well employed, having children in the household and newer dwelling labels may all lead to poorer electricity stability, but residents' attitudes toward energy use and dwelling type are not significantly associated with electricity stability.

This paper aims to uncover household socioeconomic traits that influence the stability of home electricity use and to shed light on the intricate connections between them. Firstly, in this article, from the perspective of electricity stability, the characteristics of the power consumption of residents' users are refined. And the authors use the entropy weight method to comprehensively evaluate the stability of electricity usage. Secondly, the labels of residential users' household characteristics are screened and organized. Finally, the improved FP-growth algorithm is used to mine the residential household characteristic labels that are strongly associated with electricity consumption stability.

1. The stability of electricity consumption is important to the stable operation of the grid.

2. An improved FP-growth algorithm is employed to explore the influencing factors.

3. The improved algorithm enables the mining of rules containing specific attribute labels.

4. Residents' attitudes toward energy use are largely unrelated to the stability of electricity use.

The stability of electricity consumption is important to the stable operation of the grid.

An improved FP-growth algorithm is employed to explore the influencing factors.

The improved algorithm enables the mining of rules containing specific attribute labels.

Residents' attitudes toward energy use are largely unrelated to the stability of electricity use.