1,720,996 research outputs found
Transaction costs and trade liberalization: An empirical perspective from the MERCOSUR agreement
Studies investigating the effect of trade liberalization policies on transaction costs in agricultural markets are scarce. The objective of our paper is to determine whether Brazil became more integrated with reduced transaction costs after the introduction of MERCOSUR with respect to its main agricultural trade partners, Argentina (a MERCOSUR member) and the United States (a non-MERCOSUR member). Using a threshold vector error correction model (TVECM), we estimate the transaction cost, price transmission elasticity and half-life adjustments for the most traded agricultural products between Brazil/Argentina and Brazil/United States from January 1980 to December 2012. Our findings suggest a strong MERCOSUR effect, with lower transaction costs and higher price transmission elasticity when compared to a non-agreement scenario. Moreover, the variations of both parameters are highly heterogeneous across products, depending mainly on their degree of differentiation. From a policy perspective, elements such as the sources of comparative and competitive advantages together with investment policies, specific market regulations and agricultural subsidies, among others, are mainly what influence the extent of transaction cost and market integration. Our results show that Brazil has made progress but still has considerable room for improvement in reducing barriers to agricultural products and, as a consequence, to achieving the full benefits of the MERCOSUR agreement. (C) 2015 Elsevier Ltd. All rights reserved
Market integration for Chilean wheat prices using Vector Error Correction Models (VECM), a cointegration analysis
R. Valdes, S. von Cramon-Taubadel, and J. Diaz. 2011. Market integration for Chilean wheat prices using vector error correction models (VECM), a cointegration analysis. Cien. Inv. Agr. 38(1): 5-14. Historically Chile has been a wheat net importer country. This situation, added to the small size of its economy, causes that the domestic price of this cereal is highly influenced by import prices of substitute wheat. This research analyzed the integration level of the Chilean wheat market with respect to the USA and Argentinean markets using a vector error correction model (VECM), the impact of the band prices (D-BAND) and the change of the band mechanism introduced in 2004 (D-MECH) by the inclusion of two binary variables in the VECM. The results showed strong market integration among Argentina, Chile and USA, with USA leading the market. Additionally, the price of the Chilean wheat was influenced by the USA and Argentina prices. The binary variables, included in the models, showed that this system had been useful to protect the domestic market by reducing the fluctuations of the wheat prices (D-BAND), and the new mechanism performs as a protection over the international fluctuations (D-MECH). Both coefficients presented non-significative values, probably due to the difference among the input cost and the domestic price support mechanism, the sub-valuated commodities markets, increment on cereal price levels, inflationary scenarios and low number of observations.Deutscher Akademischer Austausch Dienst (DAAD
Market integration for Chilean wheat prices using Vector Error Correction Models (VECM), a cointegration analysis
R. Valdes, S. von Cramon-Taubadel, and J. Diaz. 2011. Market integration for Chilean wheat prices using vector error correction models (VECM), a cointegration analysis. Cien. Inv. Agr. 38(1): 5-14. Historically Chile has been a wheat net importer country. This situation, added to the small size of its economy, causes that the domestic price of this cereal is highly influenced by import prices of substitute wheat. This research analyzed the integration level of the Chilean wheat market with respect to the USA and Argentinean markets using a vector error correction model (VECM), the impact of the band prices (D-BAND) and the change of the band mechanism introduced in 2004 (D-MECH) by the inclusion of two binary variables in the VECM. The results showed strong market integration among Argentina, Chile and USA, with USA leading the market. Additionally, the price of the Chilean wheat was influenced by the USA and Argentina prices. The binary variables, included in the models, showed that this system had been useful to protect the domestic market by reducing the fluctuations of the wheat prices (D-BAND), and the new mechanism performs as a protection over the international fluctuations (D-MECH). Both coefficients presented non-significative values, probably due to the difference among the input cost and the domestic price support mechanism, the sub-valuated commodities markets, increment on cereal price levels, inflationary scenarios and low number of observations.Deutscher Akademischer Austausch Dienst (DAAD
What drives stock market integration? An analysis using agribusiness stocks
This article explores the drivers of regional stock market integration with a focus on the agribusiness sector across relevant regional trade blocs around the world. We implement panel cointegration models to analyze the stock indices of agribusiness firms in the Southern Common Market (MERCOSUR), European Union (EU), Asia-Pacific Economic Cooperation (APEC), and North American Free Trade Agreement (NAFTA). Based on the literature on market integration and stock return pricing, we identify nine possible determinants of stock market integration, which we separate into three categories: individual market performance, macroeconomic conditions, and agricultural trade. In our analysis, we account for agriculture-specific factors to control for possible structural shifts in financial markets regimes by including the two main commodity price bubbles during last 20 years. Our results show that most of the variables included in our categories have been important factors in promoting regional stock market integration. Moreover, integration among regional stock markets was strengthened by the implementation of trade agreements. This effect is stronger in trade blocs with fewer members, such as NAFTA and MERCOSUR, compared with larger and more heterogeneous blocs, such as the EU and APEC
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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