1,720,956 research outputs found

    A BI-REGIONAL INPUT-OUTPUT MODEL FOR GALICIA AND THE REST OF SPAIN: ESTIMATING SPILLOVER AND FEEDBACK EFFECTS OF TOURISM.

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    The main particularity of Tourism is to be defined from the demand side, instead from the supply side like the other economic activities. For this reason, Tourism impact studies are usually performed with demand models based on input output (IO) methodology. Moreover, these types of models allow us to identify the direct and indirect effects of changes in final demand. Originally, the applications of the classic Leontief model were undertaken at national level, but the important disparities in regional specialization resulted in the development of input-output tables at more disaggregated level. Nevertheless, one-region models do not recognize the interdependencies between regions, i.e. each region appears isolated from the others. This is a really hard assumption in the regional analysis since exchange of workers and trade of goods with the rest of the country is much important at this level. Therefore, the aim of this paper is to compare the results obtained with the classic demand model with a two-region model. Using the bi-regional model, it is possible to measure the existence and significance of outflows or “leakages†and inflows or “gains†in the production process, whether from trade or use of non-resident workers. For practical purposes, we estimate the economic impact of Tourism for a Spanish region, Galicia. In this way, we can consider the peculiarities of its productive structure and its relation with the Rest of Spain taking into account the spillover (outflows) and the feedback effects (inflows).

    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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    koamabayili/VECTRON-author-checklist: VECTRON author checklist

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    We have done our best to complete the author checklist relating to the use of animals in the hut study. Note that the objective for the hut study was to evaluate the IRS treatment applications for residual efficacy against Anopheles mosquitoes, including the local An. coluzzii mosquito population. Cows were only used to attract mosquitoes into the huts and no tests were carried out directly on the cows. The author checklist is intended for use with studies where experiments are carried out on animals, which is why we have had such difficulty in completing this for the hut study, as many of the questions do not relate to how the cows were used

    Industrial embeddedness and regional economic resistance in Europe

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    We study the role of local industrial embeddedness (the share of regional inter-industry economic activity that is anchored to a region) on regional resistance (the difference between pre- and post-crisis employment) to the 2008 Great Recession (GR) in EU and UK NUTS2 regions. The recession had profound effects in regional economies, which showed diverse performance based on their capacity to absorb the shock. The concept of economic resilience has been brought to the center of attention with several contributions exploring its determinants. However, the impact of the embeddedness of local economic systems in terms of sales and supplies has been largely unexplored. We use regional input-output tables to approximate the embeddedness of local economies between and, fixed-effects and quantile regressions to test its relationship to regional resistance between 2008 and 2011. We find that during the GR, regional industries opted to change input rather than output markets. Additionally, embeddedness has a curvilinear relationship to regional resistance which varies across the distribution of regional resistance performance. Finally, at the industry level we find regional embeddedness to be important to the resistance of manufacturing and financial and business services and sectoral embeddedness to matter more for the resistance of construction and wholesale, retail & IT. Our findings highlight nuances that policymakers should be aware of in planning for resilience
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