1,721,298 research outputs found
CHANGES IN DOMESTIC DEMAND FOR FOOD: IMPACTS ON SOUTHERN AGRICULTURE
Full text linkDemand and Price Analysis,
THE DEMAND FOR WHOLESALE BEEF CUTS BY SEASON AND TREND
Full text linkThis study estimates demand during the 1980-90 period for wholesale beef cuts by season and by trend. A data set containing monthly nominal prices for wholesale cuts and average choice boxed beef from January 1980 to December 1990 was collected from multiple sources. The approach expressed the change in demand for wholesale cuts as the change in the price ratio of individual cuts relative to the price of boxed beef. This approach shows changes in amount by season and over time relative to the average wholesale cut. Brisket, Armbone Chuck, Bottom Gooseneck, and Knuckle showed the strongest demand in winter and lowest in summer. Top (Inside) Round had a clear downward trend in demand, but the seasonal pattern was less pronounced and more erratic than the lower-priced cuts. Top Sirloin Butt had its highest demand in spring and summer with November-December being the lowest period. Strip Loin had the strongest warm season demand during the period which contains Memorial Day. Ribeye experienced a seasonal demand highest in November-December and lowest in January to April. Full Tenderloin was the most expensive wholesale beef cut analyzed in the study, and its demand was highest in November-December. The study clearly showed that a change in seasonal demand was responsible for the major part of price ratio fluctuations for individual wholesale cuts.Demand and Price Analysis,
Going Beyond Counting First Authors in Author Co-citation Analysis
Full text linkThe 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
Full text link“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
Full text linkWe 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
Full text linkWe 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
The demand for gasoline and diesel fuel in agricultural use in Virginia
No full textThe objectives of this study were: (1) to determine the usage patterns of gasoline, diesel fuel, and other fossil fuels in different types of agriculture; (2) to determine the demand relationships for gasoline and diesel fuel in agricultural use and to identify and assess the major factors that affect these relationships; and (3) to determine differences in the demand relations for gasoline and diesel fuel in agricultural use.
The usage patterns of gasoline, diesel fuel, and other fossil fuels in agricultural production in Virginia, the South, and the U.S. were developed from cross-sectional data provided jointly by the Economic Research Service and the Federal Energy Administration. From the static theoretical development and the dynamic and technological adjustment concepts of derived input demand, the theoretical demand relationships for gasoline and diesel fuel were formulated. Asymptotically efficient, asymptotically normal, asymptotically unbiased, and consistent parameter estimates were obtained by employing a generalized least squares (GLS) procedure on the Parks model in combining cross-sectional and time-series data. All data were from the period 1971 through 1976.
The agricultural sector in Virginia appears to adjust to changes in economic factors and other variables influencing the demand for gasoline and diesel fuel. While farmers.appear to be somewhat passive to increases in the real prices of gasoline and diesel fuel in the current period, they are quite responsive to such increases when given time to adjust their usage patterns.Master of Scienc
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