130,842 research outputs found
Carbon Taxation, Prices and Welfare in New Zealand
No full textThis paper examines the effects on consumer prices of a range of carbon taxes in New Zealand, using information about inter-industry transactions and the use of fossil fuels by industries. The resulting effects on the welfare of different household types and total expenditure levels are examined. The excess burdens of the carbon tax are computed for the different household types. Finally, overall measures of inequality are reported.Carbon tax; equivalent variations; excess burdens; inequality
Risk factors leading to cost overrun in the delivery of highway construction projects
No full textAccurate client budget estimates are critical to the initial decision-to-build process for the highway construction projects. This decision-to-build point in a project's development is seen as the international standard for measuring any subsequent cost estimate inaccuracies involved (National Audit Office/Department of Transport, 1992; World Bank, 1994; Nijkamp and Ubbels, 1999), with accuracy being defined as the difference between the initial project estimate at the decision-to-build stage and the real, accounted project cost determined at the time of project completion. Expressed as a percentage of estimated cost, this is often termed cost escalation, cost overrun or cost growth, and occurs as a result of many factors, some of which are related to each other, but all are associated with forms of risks. The analysis of these risks is often a necessary step for the improvement of any given estimating system and can be used to diagnose trouble spots and to pinpoint areas where project estimating accuracy improvement might be obtained.\ud
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In this research, highway projects in Queensland, Australia that have suffered significant cost overrun are analysed. The research seeks to address the gap in the knowledgebase as to why highway projects overrun their costs. It focuses on understanding how client projects budgets go wrong, when dealing with project risk.\ud
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The foundation for this research is drawn from the post-mortem analysis of highway projects, each costing in excess of A$1m and whose final total expenditure exceeded budget by 10% or greater. The research identifies client risk variables which have contributed to significant cost overrun and then uses factor analysis and also expert elicitation, using nominal group technique, to establish groups of importance ranked client risks. Stepwise multivariate regression analysis is then used to investigate any correlation of these risks, along with project attributes such as highway project type, indexed project cost, geographic location and project delivery method to the percentage of cost overrun.\ud
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The research results indicates a correlation between the reciprocal of project budget size and percentage cost overrun that can be useful in clients determining more realistic decision-to build highway budget estimates when taking into account project size in relation to economy of scale
MeSH term explosion and author rank improve expert recommendations
No full textInformation overload is an often-cited phenomenon that reduces the productivity, efficiency and efficacy of scientists. One challenge for scientists is to find appropriate collaborators in their research. The literature describes various solutions to the problem of expertise location, but most current approaches do not appear to be very suitable for expert recommendations in biomedical research. In this study, we present the development and initial evaluation of a vector space model-based algorithm to calculate researcher similarity using four inputs: 1) MeSH terms of publications; 2) MeSH terms and author rank; 3) exploded MeSH terms; and 4) exploded MeSH terms and author rank. We developed and evaluated the algorithm using a data set of 17,525 authors and their 22,542 papers. On average, our algorithms correctly predicted 2.5 of the top 5/10 coauthors of individual scientists. Exploded MeSH and author rank outperformed all other algorithms in accuracy, followed closely by MeSH and author rank. Our results show that the accuracy of MeSH term-based matching can be enhanced with other metadata such as author rank
Going Beyond Counting First Authors in Author Co-citation Analysis
No full textThe present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation
counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings
are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that
only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into
account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed
"Closing the R&D Gap, Evaluating the Sources of R&D Spending"
No full textBoth spending and tax policies have been implemented in the United States with the goal of stimulating private sector research and development (R&D). Karier questions whether current R&D policy, especially the research and experimentation tax credit, can contribute to closing the gap between nondefense expenditures on R&D in the United States and such expenditures in other countries, such as Japan and Germany. He also explores possible changes to our current R&D policy to make it more effective.
Behavioural Microsimulation Modelling With the Melbourne Institute Tax and Transfer Simulator(MITTS) : Uses and Extensions
No full textThis paper describes microsimulation modelling in non-technical terms; and it explains what can be achieved with microsimulation modelling in general, and the Melbourne Institute Tax and Transfer Simulator (MITTS) in particular. The focus is on behavioural microsimulation modelling, which takes individuals’ labour supply responses into account when analysing tax and transfer reforms. Microsimulation models are built to replicate closely the considerable degree of heterogeneity observed in the population. Several examples of recent uses of MITTS are given and briefly described. In addition, one worked-out example is presented to illustrate some of the features and typical outputs of MITTS. Given the relatively recent development of behavioural microsimulation models, there are several opportunities for further extensions. For example, it would be valuable to allow for the demand side of labour, indicating whether new labour force participants are likely to find work; or to allow for life-cycle dynamics, which are important to deal with population-ageing issues or with female labour force participation.
Longitudinal evaluation of a domestic violence training program for midwives
No full textBackground: In Australia, 36% of women who experienced violence by a partner reported that this occurred when they were pregnant.1 Around seventeen percent of women experience domestic violence (DV) for the first time during pregnancy. Routine enquiry about domestic violence during pregnancy is now accepted best practice. Training is essential to improve knowledge and practice. Yet very few studies have undertaken a comprehensive evaluation of training impact over time.
Aim: This presentation will provide an overview of an evaluation of the longitudinal impact of a domestic violence training and support program to promote midwives’ routine antenatal enquiry for domestic violence using a mixed methods design.
Method: Data sources included (1) surveys of midwives at 6 months post-training, (2) interviews with key stakeholders at 12 months, (3) chart audit data of screening, risk, and disclosure rates (for 16 months). Measures included midwives’ knowledge and preparation for routine antenatal enquiry, and perceptions of organisational barriers to routine enquiry.
Findings: Forty (out of 83) participant surveys could be matched and responses compared to baseline and post-training scores. Wilcoxon signed-rank test identified that all 6-month follow-up scores were significantly higher than those at baseline. Level of preparedness increased from 42.3 to 51.05 (Z = 4.88, p 90%) reported improved confidence to undertake routine inquiry. A chart audit of screening rates for 16 months post-training revealed of the 6671 women presenting for antenatal care, nearly 90% were screened. Disclosure of domestic violence was low (<2%) with most women at risk or experiencing violence declining referral.
Contribution to policy & practice: Training, support processes, and referral pathways, contributed to midwives’ sustained preparedness and knowledge to conduct routine enquiry and support women disclosing domestic violence.No Full Tex
Dispelling the Myths Behind First-author Citation Counts
No full textWe conducted a full-scale evaluative citation analysis study of scholars in the XML research field to explore just how different from each other author rankings resulting from different citation counting methods actually are, and to demonstrate the capability of emerging data and tools on the Web in supporting more realistic citation counting methods. Our results contest some common arguments for the continued
use of first-author citation counts in the evaluation of scholars, such as high correlations between author rankings by first-author citation counts and other citation
counting methods, and high costs of using more realistic citation counting methods that are not well-supported by the ISI databases. It is argued that increasingly available digital full text research papers make it possible for citation analysis studies to go beyond what the ISI databases have directly supported and to employ more
sophisticated methods
Scholarly Communication and Publishing Lunch and Learn Talk #11: The ULS Open Access Author Fee Fund
No full textAt the May 2014 talk, you will learn about the ULS Open Access Author Fee Fund--what it is, why we do it, how it works, and how the program is going so far
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