1,721,005 research outputs found
The regional dimension of the CAP: 2007-2018
No full textThe Common Agricultural Policy (CAP) is one of the main pillars in constructing the European project. Since 1962, the CAP has evolved from its traditional role of supporting farmers’ livelihood and improving agricultural productivity to embrace balanced territorial development. In the process, it has been implemented across the EU territory in a fashion tailored to the regions’ needs. This report explores a rich data set on disaggregated CAP payments and regional characteristics to describe the regional dimension of the CAP. It does so by identifying and quantifying three relevant dimensions of the policy: the time dimension, associated with the reforms it has undergone in the period of analysis; the spatial dimension by framing its implementation in the rurality context of the EU territory and; the mix dimension by typifying the different implementation models of the policy. This characterization of the CAP and its rural context allows to investigate the regional patterns of its implementation. The study finds clear evidence that the more developed regions tend to benefit from policy mixes with a relatively low contribution from Pillar 2. On the other hand, developing and less developed regions tend to implement a mix of instruments that privilege rural development actions
An Evaluation of the CAP impact: a Discrete policy mix analysis
No full textThe Common Agricultural Policy (CAP) is one of the main pillars in constructing the European project. Since 1962, the CAP has evolved from its traditional role of supporting farmers’ livelihood and improving agricultural productivity to embrace the goal of balanced territorial development. In the process, the CAP has become a policy with many different instruments allowing MS, farmers, and regions to adopt distinct implementation models. This report explores a rich data set on disaggregated CAP payments and regional characteristics to evaluate the CAP as a mix of policies at the EU level. The project aims to showcase the feasibility and value-added of quantitative approaches able to infer causality while considering the diversity of measures deployed in rural areas
Multinational versus national firms on capital adjustment costs: A structural approach
Full text linkThis paper provides a different perspective on the firm-level empirical analysis of the relation between foreign ownership and capital demand adjustment in host countries. The author estimates a dynamic structural model of investment on a sample of 4672 Belgian firms observed between 2003 and 2010 that permits to distinguish the 'ownership status' of firms. He considers a dynamic discrete choice model of a general specification of adjustment costs including convex and nonconvex components. He uses the method of simulated moments procedure to estimate the structural parameters. The results indicate that multinational's affiliates face lower capital adjustment costs than national firms
Labour adjustment costs: Estimation of a dynamic discrete choice model using panel data for Greek manufacturing firms
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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
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
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