1,721,052 research outputs found
Detecting learning‐by‐exporting effects on firms' productivity distribution by accounting for heterogeneous macrofactors and panel attrition
No full textThis paper aims to verify the presence of the learning-by-exporting effect on total factor productivity growth. The study starts, as is typical in this context, by addressing the pre-entry selection bias at firm level but differs from the literature by focusing on the distribution of the outcome and considering the presence of the different influences of macroeconomic factors on exporters and non-exporters. Additionally, the paper addresses the panel attrition, a current source of estimation bias in longitudinal studies. The analysis is based on a panel of Italian manufacturing firms in the 1998–2007 period. We design an experiment by aligning and pooling cohorts of firms that allows us to obtain a sufficiently large group of firms entering the international market. Our results show that internationalisation affects firms’ productivity and that the effect is heterogeneous over total factor productivity distribution and larger for the firms at the bottom section of the distribution itself. Furthermore, we observe that the learning-by-exporting effect may be confounded without i) considering that domestic and exporter firms may afford heterogeneous demand cycles and ii) managing the dropout of some firms from the panel
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
An overview of the characterization of occupational exposure to nano aerosol in workplaces
No full textTrust your neighbour: industrial relatedness, social capital and outsourcing
Full text linkRelying on a unique dataset of small, machine-tool firms located in Emilia Romagna, Italy, we estimate the separate effects of industrial relatedness and social capital on the propensity to fully or partially outsource production activities. We focus on a series of 29 production phases, for which we have information on whether they are accomplished in-house or outside the firm. After controlling for endogeneity, we find that: (i) full outsourcing is positively related to social capital, but this effect vanishes as industrial proximity with neighbouring firms increases; and (ii) firms engage in concurrent sourcing only when industrial relatedness with neighbouring firms is high. Also phase estimates show that: (iii) while social capital matters for full outsourcing of core activities, for full outsourcing of peripheral activities it is industrial relatedness that is relevant; and (iv) there is no significant effect of either industrial relatedness or social capital on the concurrent sourcing of core and peripheral activities
Trust your neighbour. Spatial agglomeration, social capital and outsourcing
No full textRelying on a unique dataset on machine-tool small firms located in Emilia Romagna, Italy, we estimate the separate effect of technological relatedness and social capital on the propensity to fully or partially outsource production activities. We focus on a series of 29 production phases, for which we know if they have been operated in-house or outside the firm. Once controlled for endogeneity, we find that: (i) full outsourcing is positively related to social capital, but this effect vanishes as the technological relatedness with neighbouring firms increases; (ii) firms engage in concurrent sourcing only when neighbouring firms are highly technologically related. The phase-estimates show that: (iii) while social capital does matter for the full outsourcing of core activities, high technological relatedness is relevant for the full outsourcing of peripheral ones; (iv) no significant effect of technological relatedness and social capital emerges for the concurrent sourcing of both core and peripheral activities
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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