1,721,005 research outputs found
The ICOP Manufacturing Database: International Comparisons of Productivity Levels
International productivity comparisons have traditionally focused on productivity growth rates. International productivity level comparisons are much more complex, requiring comparable industry data and estimates of purchasing power at a detailed industry level. The International Comparisons of Output and Productivity (ICOP) project established at the University of Groningen in the Netherlands in 1983 has pioneered the development of international estimates of productivity levels by industry. In this article Bart van Ark and Marcel Timmer, two economists from the University of Groningen, provide an overview of the ICOP manufacturing database. They note that the novelty of the ICOP approach is the derivation and use of industry-specific purchasing power parities based on producer output data instead of final expenditure information. A key finding that emerges from their research is the difference between labour productivity levels measured in terms of output per person employed and per hour. By the former measure, the United States has by a wide margin the highest level of labour productivity in manufacturing. But when the more appropriate output per hour measure of productivity is used, the United States is no longer the manufacturing productivity leader, being surpassed by the Netherlands and Belgium. The much greater number of annual hours worked in the United States accounts for this discrepancy.Comparisons, International, Productivity, ICOP, Output, Database, Industry-Specific, Industry, Labor, Labour, Labor Productivity, Employment, Measurement, Manufacturing, PPP, Purchasing Power Parity, Data, Methodology, Unit Value Ratio, Value Added
An Innovation Index Based on Knowledge Capital Investment: Definition and Results for the UK Market Sector
We (a) propose an implementable innovation index, (b) relate it to existing innovation definitions and (c) show whole-economy and industry-specific results for the UK market sector, 2000-2005. Our innovation measure starts by observing that we could get more GDP without innovation by simply duplicating existing physical capital and labour (e.g. adding a second aircraft and crew on an existing route). Thus we propose to measure innovation as the additional GDP over and above the addition existing physical capital and labour. In our measure this is the contribution to GDP growth of market sector investment in knowledge (or intangible) capital. This contribution is measured from company spending on knowledge/intangible assets and TFP growth. We relate our measure to the literature on innovation definitions, TFP, creative industries and hidden innovation. We implement it for six UK market sector industries, 2000-2005, combining with output and tangible investment data from the EUKLEMS database. Our main findings are as follows. Over 2000-2005, market sector labour productivity grew at 2.74% per annum, of which the contribution of knowledge capital, our innovation measure, was 1.24% pa. In turn, manufacturing accounted for about 60% of this latter figure. If one includes increase in labour skill deepening (0.45% pa) as innovation, then innovation contributed 61% (=(1.24+0.45)/2.74)of labour productivity growth over the period.innovation, productivity growth
The Country-Product-Dummy Method: A Stochastic Approach to the Computation of Purchasing Power Parities in the ICP
A paper for presentation at the SSHRC Conference on Index Numbers and Productivity Measurement to be held during 30 June � 3 July, 2004 in Vancouver. The author wishes to thank Bettina Aten, Erwin Diewert, Alan Heston, Chris O�Donnell and Marcel Timmer for helpful discussions on the subject matter of this paper.
Going Beyond Counting First Authors in Author Co-citation Analysis
The 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
Variations on the Author
“Variations on the Author” discusses two of Eduardo Coutinho’s recent films (Um Dia na Vida, from 2010, and Últimas Conversas, posthumously released in 2015) and their contribution to the general question of documentary authorship. The director’s filmography is characterized by a consistent yet self-effacing form of authorial self-inscription: Coutinho often features as an interviewer that rather than express opinions propels discourses; an interviewer that is good at listening. This mode of self-inscription characterizes him as an author who is not expressive but who is nonetheless markedly present on the screen. In Um Dia na Vida, however, Coutinho is completely absent form the image, while Últimas Conversas, on the contrary, includes a confessional prologue that moves the director from the margins to the center of his films. This article examines the ways in which these works stand out in the filmography of a director who offers new insights into the notion of cinematic authorship
Appropriate Similarity Measures for Author Cocitation Analysis
We provide a number of new insights into the methodological discussion about author cocitation analysis. We first argue that the use of the Pearson correlation for measuring the similarity between authors’ cocitation profiles is not very satisfactory. We then discuss what kind of similarity measures may be used as an alternative to the Pearson correlation. We consider three similarity measures in particular. One is the well-known cosine. The other two similarity measures have not been used before in the bibliometric literature. Finally, we show by means of an example that our findings have a high practical relevance.information science;Pearson correlation;cosine;similarity measure;author cocitation analysis
Dispelling the Myths Behind First-author Citation Counts
We 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
koamabayili/VECTRON-author-checklist: VECTRON author checklist
We have done our best to complete the author checklist relating to the use of animals in the hut study. Note that the objective for the hut study was to evaluate the IRS treatment applications for residual efficacy against Anopheles mosquitoes, including the local An. coluzzii mosquito population. Cows were only used to attract mosquitoes into the huts and no tests were carried out directly on the cows. The author checklist is intended for use with studies where experiments are carried out on animals, which is why we have had such difficulty in completing this for the hut study, as many of the questions do not relate to how the cows were used
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