1,720,970 research outputs found
Family firms and access to credit. Is family ownership beneficial?
Full text linkThis paper investigates the impact of family ownership on credit rationing using a rich sample of Italian firms. Estimation results indicate that family owned firms are more likely to experience credit restrictions. The adverse impact of family ownership on credit rationing is particularly relevant for small-sized firms, whereas it is mitigated in firms with closer lending relationships. Finally, we find some evidence that family firms with high ownership concentration are more likely to be rationed by banks
Credit markets, relationship lending, and the dynamics of firm entry
No full textWe study the impact of credit relationships on firm entry, and the implications for aggregate investment and output. Exploiting Italian data, we find that relationship-oriented local credit markets feature fewer, larger entrants, and relatively more spinoff entrants. Relationship lending discourages de novo entry when banks’ knowledge is incumbent-specific but promotes knowledge transfers to spinoffs. We explain these patterns in a dynamic general equilibrium model where banks accumulate information in credit relationships and can reuse information when financing entrants. Relationship lending raises output, as the larger investments and the credit reallocation from de novos to spinoffs outweigh the entry slowdown
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
Ownership structure, governance, and innovation
No full textThis paper tests the impact of firms' ownership structure on innovation in a context featuring pronounced ownership concentration and conflicts between large and minority shareholders. Using data for 20,000 Italian manufacturers, and accounting for the possible endogeneity of ownership levels, we find that ownership concentration negatively affects innovation, especially by reducing R&D effort. Conflicts between large and minority shareholders appear to be a determinant of this effect. Moreover, risk aversion induced by lack of diversification exacerbates large shareholders' reluctance to innovate. Family owners support innovation more than financial institutions, but the benefits of financial institutions increase with their equity stakes
NOT ALL BANKS ARE EQUAL: COOPERATIVE BANKING AND INCOME INEQUALITY
No full textThis paper studies the role of different types of credit institutions in income inequality. By analyzing Italian local (provincial) credit markets over the 2001–2011 period, we find that cooperative banks mitigate income inequality in local communities more than their commercial counterparts. The results also suggest that it is the specific nature and orientation of cooperative banks, more than their relationship lending technologies, that improve income distribution. The impact of cooperative banking on inequality appears however to be partly channeled by a reduced dynamism of local economies, especially lower migratory flows and business turnover
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