1,721,062 research outputs found

    Cooperative banks and local economic growth

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    This paper analyses the impact of cooperative banks on local economic development. Italian municipality data indicate that cooperative banks – more than conventional banks – are associated with enhanced income, employment and firms’ growth rates. This evidence is consistent with several other studies indicating a distinct role of cooperative banks in supporting traditional credit provision to local borrowers

    What affects bank market power in the euro area? A country-level structural model approach

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    In this study we explore market power in 13 euro area banking sectors for the years 2007 to 2019 by means of a structural model framework with demand and supply equations, where the mark-up of price over marginal cost is parameterized as a measure of banks’ conduct that depends on selected factors. Our evidence indicates that EU banks enjoy a significant degree of market power, which shows a decreasing trend over time and some difference across countries. More competition is associated with higher bank density, lower bank capitalization, more efficient and stable banking systems, better macroeconomic conditions, and the establishment of the SSM. Finally, a clear convergence pattern emerges in the behaviour of EU banks

    Cooperative banks and local economic growth

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    In this paper we study the impact of cooperative banks on local economic development. Working on Italian municipality data in the period 2001-2011, we find that this type of banks plays a distinct role in enhanced local economic performance – particularly income, employment and firms’ birth growth rates – and that their presence is more effective compared to conventional banks. This evidence upholds the view that their more widespread presence would be beneficial, especially in those areas that suffer from lower economic growth, and accords with other studies underlining the decisive role of cooperative banks in supporting traditional credit provision to local borrowers

    Evidence of Discrimination in Lending: An Extension.

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    The author generalizes the model of Michael F. Ferguson and Stephen R. Peters (1995) to allow for unequal recovery rates in the event of default by majority borrowers versus minority borrowers. This simple extension has two direct implications: (1) a uniform credit policy, as defined by Ferguson and Peters, entails cross-subsidization across groups; and (2) it is possible for a profit-maximizing (and therefore economically nondiscriminatory) lending policy to generate lower average default rates among minority borrowers than among majority borrowers. Copyright 1996 by American Finance Association.

    Going Beyond Counting First Authors in Author Co-citation Analysis

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    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

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    “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

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    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

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    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
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