1,720,972 research outputs found
Innovation and Regional Growth in the European Union
Full text linkThis book investigates the EU’s regional growth dynamics and, in particular, the reasons why peripheral and socio-economically disadvantaged areas have persistently failed to catch up with the rest of the Union. It shows that the capability of the knowledge-based growth model to deliver its expected benefits to these areas crucially depends on tackling a specific set of socio-institutional factors which prevents innovation from being effectively translated into economic growth. The book takes an eclectic approach to the territorial genesis of innovation and regional growth by combining different theoretical strands into one model of empirical analysis covering the whole EU-25. An in-depth comparative analysis with the United States is also included, providing significant insights into the distinctive features of the European process of innovation and its territorial determinants. The evidence produced in the book is extensively applied to the analysis of EU development policies.- 1 Introduction.
- 2 Theoretical Frameworks: A Spatial Perspective on Innovation and the Genesis of Regional Growth.
- 3 Geographical Accessibility and Human Capital Accumulation.
- 4 The Role of Underlying Socio-Economic Conditions.
- 5 Knowledge Flows and Their Spatial Extent.
- 6 Innovation in an Integrated Framework: A Europe-United States Comparative Analysis.
- 7 What Can We Learn from the Integrated Approach to Regional Development? The Impact of EU Infrastructure Investment.
- 8 EU Development Policies and the Socio-Economic Disadvantage of European Regions.
- 9 Conclusions.
- References.
- Appendices
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
Education and Income Inequality in the Regions of the European Union
Full text linkThe paper provides an empirical study of the determinants of income inequality across regions of the EU. Using the European Community Household Panel data set for 102 regions over the period 1995-2000, it analyses how microeconomic changes in human capital distribution affect income inequality. Human capital distribution is measured in terms of both human capital stock, as well as human capital inequality. Income and human capital inequalities are calculated by a generalised entropy index (Theil index). Different static and dynamic panel data analyses are conducted in order to reduce measurement error on inequalities and minimise potential problems of omitted-variable bias. The regression results suggest that, in the short term, human capital inequality is negatively associated to the average regional income and the average level of education of the population. The results also highlight that a highly unequal distribution of education level completed is associated to lower, rather than to higher inequality, highlighting the effectiveness of the European social system or, from a different perspective, the lack of responsiveness of EU labour market to differences in qualifications and skills. Additionally, high unemployment is associated with higher income inequality, while urbanisation has the opposite effect.
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
R&D, Spillovers, Innovation Systems and the Genesis of Regional Growth in Europe
Full text linkThe paper aims at understanding the balance between “endogenous†factors and “external†knowledge flows in the process of innovation and growth of EU regions. Research on the impact of innovation on regional economic performance in Europe has fundamentally followed three approaches: a) the analysis of the link between investment in R&D, patents, and economic growth; b) the examination of geographical diffusion of regional knowledge spillovers; and c) the study of the existence and efficiency of regional innovation systems. These complementary approaches have, however, rarely been combined. Important operational and methodological barriers have thwarted any potential cross-fertilization. In this paper, we try to fill this gap in the literature by combining in one model R&D, spillovers, and innovation systems approaches. A multiple regression analysis approach is conducted for all regions of the EU-25, including measures of R&D investment, proxies for socio-economic structure, for each region and in neighbouring regions. The empirical results highlight how the three above-mentioned factors interact with one another uncovering the importance not only of “endogenousâ€innovative efforts but also of local socio-economic conditions for the genesis and assimilation of innovation and its transformation it into economic growth across European regions. In addition, the quantitative analysis shows the importance of proximity for the transmission of economically productive knowledge.
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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