1,720,964 research outputs found

    Leasing decisions and credit constraints: empirical analysis on a sample of Italian firms

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    Although lease financing provides a significant source of funds enabling many companies to invest, few studies examine the determinants of leasing in Continental Europe and we are aware of no study on the Italian case. This paper investigates the relationship between financial constraints and leasing decisions for a sample of Italian firms. In particular, it investigates the determinants of firm leasing decisions, the degree of substitutability between leasing and debt, and the impact of leasing on the probability of firms feeling ‘credit rationed’. Our results support the hypothesis that leasing preserves capital, thus helping to relieve credit constraints

    Relationship lending and innovation: empirical evidence on a sample of European firms

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    This paper investigates the impact of relationship lending on innovation (the probability to innovate and the intensity of innovation). Using a unique dataset providing detailed information on bank–firm relationships across European firms, we relate different proxies of relationship lending (soft information, long-lasting relationships, number of banks and share of the main bank) to innovation. We find a very strong and robust positive effect of ‘soft-information-intensive’ relationships, a less robust positive effect of long-lasting relationships and a negative effect of credit concentration as measured by the number of banking relationships. We also find that ‘soft-information-intensive’ relationships reduce credit rationing for innovative firms, while long-lasting relationships seem to favour innovation via other relational channels. These results raise some concern on the impact of screening processes based on automatic procedures, as those suggested by the Basel rules, on firms' capability to finance innovative activities in Europe

    The role of banks as producers of information: can it survive competition and cross-selling incentives

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    This paper studies the impact of competition on lending behaviour and cross-selling incentives of banks in a spatial competition model of the banking sector where positively evaluated loan applicants are more likely to buy other services from their lending bank. Overall our model suggests that the more competition increases in the loan market, the more the banking system is encouraged to move towards non-traditional activities and the less credit is information-based. This undesired effect of competition in the loan market may have contributed in the past to the excessive risk-taking behaviour of European banks and could hamper the stability of the financial system in the future

    Does trade credit really help relieving financial constraints?

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    The European Union introduced a directive aimed at reducing trade credit due to its supposedly negative effect on the European economy. This contrasts with the redistribution view arguing that trade credit could facilitate the financing of credit-constrained firms by more liquid suppliers. But does trade credit mainly flow from relatively unconstrained suppliers to more financially constrained buyers? To answer this question, we look at the characteristics of net borrowers with respect to net lenders and then estimate the substitutability between trade and bank debt separately for the two groups of firms. Overall, the results show that, in Italy, efficient redistribution does not tend to prevail in the trade credit market

    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

    Author Index

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