1,721,041 research outputs found
sj-xlsx-3-jtr-10.1177_00472875211028322 – Supplemental material for Estimating the Economic Impact of Tourism in the European Union: Review and Computation
Supplemental material, sj-xlsx-3-jtr-10.1177_00472875211028322 for Estimating the Economic Impact of Tourism in the European Union: Review and Computation by Paolo Figini and Roberto Patuelli in Journal of Travel Research</p
sj-xlsx-2-jtr-10.1177_00472875211028322 – Supplemental material for Estimating the Economic Impact of Tourism in the European Union: Review and Computation
Supplemental material, sj-xlsx-2-jtr-10.1177_00472875211028322 for Estimating the Economic Impact of Tourism in the European Union: Review and Computation by Paolo Figini and Roberto Patuelli in Journal of Travel Research</p
sj-xlsx-1-jtr-10.1177_00472875211028322 – Supplemental material for Estimating the Economic Impact of Tourism in the European Union: Review and Computation
Supplemental material, sj-xlsx-1-jtr-10.1177_00472875211028322 for Estimating the Economic Impact of Tourism in the European Union: Review and Computation by Paolo Figini and Roberto Patuelli in Journal of Travel Research</p
Estimating the Economic Impact of Tourism in the European Union: Review and Computation
The article investigates the economic contribution of tourism to the GDP. We review background methodologies, systematically collect data for EU countries, and develop a sound and ready-to-use procedure for computing indirect and total economic impacts. The routine is then applied to selected destinations for which a minimum standard in the quality of data from Tourism Satellite Accounts and Input–Output tables is met. Methodologically, the article provides a tool for estimating the total contribution of tourism to output, gross value added, and employment. Empirically, the comparison of results across EU economies shows a high degree of heterogeneity in the tourism share to GDP, which is critically discussed. Our procedure delivers a key tool to researchers, industry leaders, and policy makers willing to investigate income and employment consequences of scenarios differing in the evolution of tourism demand, something of high relevance in the COVID-19 er
The Cost of Missed EU Integration
The 2016 referendum held in the UK about the possibility to quit EU membership as well as a wave of populistic movements sweeping all over European Countries seem to suggest that less integration could be an outcome for the European Union. This paper has the aim to measure the cost of a missed integration, by highlighting what GDP growth would be in case of a missed integration. It does so by building a scenario of missed integration and compares it with a reference scenario. Scenarios are based on the Macroeconomics, Social, Sectoral, Territorial (MASST) model that has recently been updated to its fourth generation, whereby regional economic relations are tested econometrically. The estimated cause–effect chains are then the basis to build new scenarios simulated under complex sets of internally coherent assumptions in a simulation stage. The reference scenario presented is not a simple extrapolation of past trends; the post-crisis period registered structural changes to be taken into account for the future. In the integration scenario, we assume further integration within the EU to take place through the following changes: (1) higher trade flows among EU countries (“production integration effect”); (2) higher decrease in non-tariffs barriers (“proximity effect to larger markets”); (3) higher trust within and among countries (“social effect”); (4) higher quality of government (“institutional effect”); (5) stronger cooperation networks among cities (“cooperation effect”); and (6) higher exports (“market integration effect”). Results show that a more integrated scenario leads to faster economic growth across all EU countries. Territorial disparities are also initially lower in the case of more integration, although this difference abates over time. Lastly, the gains from integration are not spatially even and some regions gain more than others
Going Beyond Counting First Authors in Author Co-citation Analysis
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
“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
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
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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