1,720,965 research outputs found
Volatility transmission among Latin American stock markets under structural breaks
No full textThe paper investigates the volatility spillovers among five major Latin American (LA) stock markets under the presence of the structural breaks in variance. We employ a multivariate dynamic conditional correlation (DCC GARCH) model allowing for structural breaks in variance. The dynamic correlations show that volatility spillover effects among the markets are not strong. Causality in mean tests indicate one way causality from BOVESPA to all markets, whereas causality in variance tests indicate one way causality only from BOVESPA to IPSA. These findings suggest that while the markets in the sample are interdependent, there is not enough statistical evidence to infer the contagion effects among the markets. (C) 2016 Elsevier B.V. All rights reserved
Economic determinants of technological progress in G7 countries: A re-examination
No full textThis study examines the relationship between technological change and a series of key macroeconomic variables in G7 countries. Basically, we find that the rate of interest has a negative impact on the pace of innovation, while investments in the R&D sector, high-technology exports, as well as net FDI inflows enhance technological change. The most surprising result of our analysis concerns the openness to trade ratio. Contrary to theoretical expectations and the findings of previous empirical studies. we were unable to find a positive or negative significant relationship between openness to trade and the rate of innovation in this study. (C) 2012 Elsevier B.V. All rights reserved
The Effects of Technological Innovations on Competitiveness and Economic Growth
No full textIn the world economy, all economic players have to analyse the changing dynamics of sharpening global competition and transform their systems-structures to keep up with these competitive conditions. In order to steer the global competitive dynamics, they have to develop strong innovations with high added value that differentiate them from their competitors.
In the world ecosystem, where the global competitive climate is extremely destructive, companies and countries should correctly analyse the dynamics of global competition, their resources, strengths and weaknesses, opportunities and threats from the external environment. On the other hand, they have to formulate their own goals and global competition strategies, through which they can achieve these goals most effectively.
Firms and countries should establish an effective corporate governance-production architecture in order to sustain their competitive edge, profitability and growth at the global level in the long term. On the other hand, they should be able to offer high value added goods and services to the market in more advantageous conditions compared to their competitors, considering other criteria such as price, cost, efficiency, efficiency, quality, aesthetics and image.
As a result, a high level Science-R&D-technology-innovation management-production architecture is of great importance for a successful global competition strategy at the microeconomic and macroeconomic levels.
In this context, in this study, we focused on the effects of the Science-R&D-technology-innovations on the global competition dynamics and sustainable economic growth at the microeconomic and macroeconomic levels for different countries and regions in the world economy.
We would like to thank the sections’ authors, the management and staff of Istanbul University for their support and contributions in the emergence of this work.Publishe
ANALYSES OF RISK SPILLOVERS, FINANCIAL CONTAGION, FLIGHT TO QUALITY AND FLIGHT FROM THE QUALITY AMONG THE STOCK EXCHANGE MARKETS OF TURKEY AND THE DEVELOPED AND THE DEVELOPING COUNTRIES BY THE RECENT DEVELOPMENTS IN THE TAIL DEPENDENCE MEASUREMENT
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Going Beyond Counting First Authors in Author Co-citation Analysis
Get PDFThe 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
Get PDF“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
Get PDFWe 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
Monetary shocks, exchange rates and trade balances: Evidence from inflation targeting countries
No full textThis paper investigates the relationship among monetary policy shocks, exchange rates and trade balances in five Inflation Targeting Countries (ITCs). The investigation is based on Structural Vector Error Correction Models (SVECMs) with long run and short run restrictions. The findings reveal that a contractionary monetary policy shock leads to a decrease in price level, a decrease in output, an appreciation in exchange rate, and an improvement in trade balance in the very short run. Our findings contradict the findings of price, output, exchange rate and trade puzzles that have been found in many empirical studies. Furthermore they are consistent with the theoretical expectations regarding the effect of a contractionary policy. The only long run restriction that we imposed on our models is that money does not affect real macroeconomic variables in the long run, which is consistent with both Keynesian and monetarist approaches.Monetary policy Inflation targeting Trade balance Exchange rate SVECM
Dispelling the Myths Behind First-author Citation Counts
Get PDFWe 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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