1,720,960 research outputs found
Estimating technical efficiency at farm level when plot-level data are available
No full textAbstract Ownership of multiple plots by a farmer leads to hierarchical structure of data on production. Researchers use averaging of plot-level technical efficiency scores for computing the farm-level technical efficiency score. With Monte Carlo simulation, we checked the performance of averaging and that of the linear mixed effects model in estimating the true farm efficiency. We generated true efficiency scores under half-normal, normal, and skew-normal distributions of the farm-level random effect. Plot-level score averaging did not estimate the true efficiency. The linear mixed effects model preserved the ranking as well as estimated the true farm-level efficiency score
Vasudhara Adivasi Dairy Cooperative: Model for the Second White Revolution?
No full textIndia's White Revolution has made the country the largest milk producer in the world, but this has bypassed the Adivasi heartland of the central Indian plateau. The Vasudhara cooperative, which has organised 1,20,000 mostly Adivasi women from Valsad, Navsari, Dang and Dhule districts into a Rs 1,000-crore dairy business, provides a model for India's second White Revolution designed to empower Adivasi women
Vasudhara Adivasi Dairy Cooperative: Model for the Second White Revolution?
No full textIndia's White Revolution has made the country the largest milk producer in the world, but this has bypassed the Adivasi heartland of the central Indian plateau. The Vasudhara cooperative, which has organised 1,20,000 mostly Adivasi women from Valsad, Navsari, Dang and Dhule districts into a Rs 1,000-crore dairy business, provides a model for India's second White Revolution designed to empower Adivasi women
Stated market preferences of dairy producers in the presence of a dairy cooperative: Insights from an exploratory visit to the rural-urban interface of Bengaluru, India
No full textAn exploratory visit to the rural-urban interface of Bengaluru city revealed that dairy producers with larger herd size and potentially stable income preferred to sell to the cooperative whereas those producers with minuscule herd size (upto two cattle) stated a preference to sell to urban customers in the private market. Sales in the private market were uncertain due to volatile demand but they fetched a higher price than the cooperative per transaction. Given that producers in the latter category were highly cash strapped and needed cash for fulfilling their transaction demand, the stated preferences can be attributed to liquidity concerns on part of the producers. This sets a hypothesis for quantitative research on income stability as a determinant of market choice by dairy producers. This paper provides the linkages between such observed market preferences and the understanding of the producers' and consumers' resilience in terms of food security as well as an understanding of the ethical principles of social embeddedness and moral economy in the context of the production system
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
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