1,721,104 research outputs found
Aid to agriculture, trade and structural change
Full text linkThis paper studies the effect on the industrialization process of developing countries of foreign aid given to agriculture to expand its productive capacity. According to our theoretical analysis, this effect is conditional on the openness of receiving countries. Our empirical results based on panel data for developing countries confirm this analysis, as we find that the effect of this kind of agricultural aid on the rate of growth of the industrial sector of landlocked countries is indeed positive
A sovereign risk index for the Eurozone based on stochastic dominance
Full text linkWe propose a new method to assess sovereign risk in Eurozone countries using an approach that
relies on consistent tests for stochastic dominance e¢ ciency. The test statistics and the estimators are
computed using mixed integer programming methods. This papers analysis is based on macroeconomic
fundamentals and their importance in accounting for sovereign risk. The results suggest that the net
international investment position/GDP and public debt/GDP are the main contributors to country risk
in the Eurozone. We also conduct ranking analysis of countries for scal and external trade risk. We
nd a positive correlation between our rankings of the most vulnerable countries and the S&Ps ratings,
whereas the correlation for other countries is weaker
Air and Water Pollution over Time and Industries with Stochastic Dominance.
Full text linkWe employ a stochastic dominance (SD) approach to analyze the components that contribute to environmental degradation over time. The variables include countries’ greenhouse gas (GHG) emissions and water pollution. Our approach is based on pair-wise SD tests. First, we study the dynamic progress of each separate variable over time, from 1990 to 2005, within 5-year horizons. Then, pair-wise SD tests are used to study the major industry contributors to the overall GHG emissions and water pollution at any given time, to uncover the industry which contributes the most to total emissions and water pollution. While CO2 emissions increased in the first-order SD sense over 15 years, water pollution increased in a second-order SD sense. Electricity and heat production were the major contributors to the CO2 emissions, while the food industry gradually became the major water polluting industry over time
Assessing temporal trends and industry contributions to air and water pollution using stochastic dominance
Full text linkWe employ a stochastic dominance (SD) approach to analyze the components that contribute to environmental degradation over time. The variables that are considered include countries’ greenhouse gas (GHG)
emissions and water pollution. Our approach is based on pair-wise SD tests. First, we study the dynamic
progress of each separate variable over time, from 1990 to 2005, within 5-year horizons. Then, pair-wise SD
tests are used to study the major industry contributors to the overall GHG emissions and water pollution at
any given time, to uncover the industry which contributes the most to total emissions and water pollution.
We find that CO2 emissions not only contribute the most to the GHG emissions over time, but also increased
within 15 year in the first-order SD sense. On the other hand, water pollution increased in a second-order SD
sense. Pair-wise industry comparisons suggest that the major industry contributors to the CO2 emissions
have always been the electricity and heat production sectors, while the transport sector has been the second
contributor between 1990 and 2005. Finally, the food industry gradually became the major contributing
industry for water pollution over time
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
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