1,721,371 research outputs found
Old model, new problem: when should you update a model and what happens when you do?
This paper is a summary of some of the considerations involved in applying an existing model to a new problem, in particular in deciding whether to update or not, and some of the issues involved in interpreting the output from the new application. Thus where you start from does influence where you end up. Both change in total surplus and to a lesser extent the distribution of this change in total surplus across sectors, depends on the price and quantity data which is used to define the initial equilibrium, even if elasticity values are the same. So careful consideration should be given to whether an existing model should be updated because updating a model does matter. The final point to restate is that consumers of pig meat end up being the winners from either cost saving technology at the farm level or new product development or advertising campaigns at the retail level. Even for new technology implemented at the farm level, producers only receive about 20 per cent of the total benefits. These issues are discussed in detail in Mounter et al. (2005a, 2005b). Therefore in relation to the new problem outlined above, we now have a modelling framework available for the task that has been tested in a number of different ways and that now reflects current industry structure and size. It should be a more appropriate framework than the original that was described in the papers by Mounter et al. (2004, 2005a, 2005b).new model, old model, decision making, change in total surplus, updating a model, new technologies, pork, industry structure, industry size, Agribusiness, Agricultural Finance, Environmental Economics and Policy, Farm Management, Industrial Organization, Institutional and Behavioral Economics, Livestock Production/Industries, Marketing,
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
ESTIMATING RETURNS FROM PAST INVESTMENTS INTO BEEF CATTLE GENETICS RD&E IN AUSTRALIA
This study aimed at estimating the costs and benefits of all beef cattle genetic improvement activity, across Australia, over the period 1970 to the present. The total cumulative Present Value (PV) of investments by industry, government and other agencies into selection, crossbreeding and grading up since 1963, and of imported genetics, was estimated to be 2001 at a 7% discount rate). Using a suite of genetic evaluation models, farming systems models and an industry-level model, the cumulative PV of industry returns were estimated. Within-breed selection generated 255m; changing breed composition in southern Australia 8.1bn. The benefit/cost ratio for this investment was 28:1 over the last 30 years.Livestock Production/Industries, Research and Development/Tech Change/Emerging Technologies,
Author-wise bibliometric analysis based on entropy.
Author-wise bibliometric analysis based on entropy.</p
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