1,720,955 research outputs found
An Analysis of the Relationship between Higher Education Expenditures and Youth Unemployment in Turkey
No full textİşsizlik ve özellikle genç işsizlik problemi birçok bilimsel araştırmayakonu olmuş bir alandır. Genç işsizliğinin temel nedenleri ve olası çözümyolları üzerinde bilim insanları uzun süre çalışmış ve halen çalışmayadevam etmektedir. Ancak genç işsizlik, birçok faktörden etkilenenoldukça karmaşık ve küresel bir sorundur. Dünyada giderek artan gençişsizliğin temel nedenleri, sonuçları, olası çözüm yolları üzerine farklı bilimdisiplinleri farklı bakış açıları ile eğilmiş, çeşitli görüş ve öneriler ortayaatılmıştır. Bu çalışmanın temel amacı 1988-2019 dönemi için Türkiye’devar olan genç işsizliğini belirleyen faktörleri analiz etmektir. Çalışmanınbağımlı değişkeni genç işsizliği olup bağımlı değişken üzerinde etkisinintest edildiği temel değişken yüksek öğretim harcamalarıdır. Çalışmadakullanılan diğer kontrol değişkenler ise sırasıyla kişi başına düşen reel gayrisafi yurtiçi hasıla, brüt sermaye oluşumu ve emek verimliliğidir. Çalışmadaseriler arasında kısa ve uzun dönemli bir ilişki olup olmadığını test edenARDL eş bütünleşme yaklaşımı kullanılmıştır. Analiz sonuçlarından eldeedilen bulgular genç işsizliğinin; yükseköğretim harcamaları ve brütsermaye oluşumu ile negatif, kişi başına düşen reel gayri safi yurtiçi hasılave emek verimliliği ile pozitif ilişkili olduğunu göstermektedir. Uzundönem katsayıları karşılaştırıldığında genç işsizlik üzerinde en yükseketkiye sahip olan bağımsız değişken kişi başına düşen GSYH olup budeğişkeni sırasıyla brüt sermaye oluşumu, yüksek öğretim harcamaları veemek verimliliği takip etmektedir.The problem of unemployment—especially among youth—has been the subject of many scientific studies. Scientists_x000D_
have worked on the main causes of youth unemployment and possible solutions for a long time and are still working_x000D_
on it. However, youth unemployment is a complex, global problem that is affected by many factors. Various scientific_x000D_
disciplines have dealt with different perspectives on the main causes, consequences and possible solutions of youth_x000D_
unemployment. The problem is increasing worldwide, and various opinions and suggestions have been put forward._x000D_
The main objective of this study is to analyze the determinants of youth unemployment in Turkey for the period 1988–_x000D_
2019. The dependent variable of the study is youth unemployment, and the main variable that affects the dependent_x000D_
variable is higher education expenditures._x000D_
Other control variables used in the study are real gross domestic product per capita, gross capital formation and_x000D_
labor productivity, respectively. The Autoregressive Distributed Lag Bounds Testing (ARDL Test) approach, which tests_x000D_
whether there is a short and long-run relationship between the series, was used in the study. The findings obtained from_x000D_
the analysis results indicate that youth unemployment is negatively associated with higher education expenditures_x000D_
and gross capital formation. It is positively associated with real gross domestic product per capita and labor_x000D_
productivity. When the long-term coefficients are compared, the independent variable that has the highest impact_x000D_
on youth unemployment is gross domestic product per capita, followed by gross capital formation, higher education_x000D_
expenditures and labor productivity, respectively
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
Examining the Research Performance of Universities with Multi-Criteria Decision-Making Methods
No full textThere has been an increasing interest in research performance in recent years. However, in previous studies, research performance has generally been measured by traditional methods. In this study, a model based on multi-criteria decision-making (MCDM) methods is proposed to evaluate the research performance of universities. In order to apply the proposed model, the research performance of 88 universities was analyzed with MCDM methods. The research performance of universities was examined with six criteria in total in the dimensions of productivity and impact with the last 5 years of data from InCites Benchmarking and Analytics. First, the criteria were weighted by CRITIC, MEREC, and Entropy methods. Each of these criteria weights was analyzed separately with ARAS, MABAC, and TOPSIS methods and a total of nine different rankings were obtained. The different ranking values were combined using the Borda function and the final ranking of each university was determined. According to the results of the study, the most important productivity criterion in performance evaluation is “number of documents in Q1 per academic staff” and the most important impact criterion is “h-index excluding self-citations per academic staff.” In this study, 88 universities were ranked according to their research performance with the proposed model. Validation and sensitivity findings showed that the proposed model is a robust, consistent and stable methodology for measuring research performance. With the methods proposed in this research, the research performance of researchers, countries and academic units as well as universities can be analyzed
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
koamabayili/VECTRON-author-checklist: VECTRON author checklist
No full textWe 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
Author-wise bibliometric analysis based on entropy.
No full textAuthor-wise bibliometric analysis based on entropy.</p
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