1,720,963 research outputs found
The environmental and socioeconomic impact of energy demand and supply in the UK industry
The UK government has identified Clean Growth as one of the four grand challenges for the UK industry, with goal to improve industrial energy efficiency by at least 20% by 2030. This thesis tackles three aspects of the challenges faced by the industrial sector and the impacts of delivering Clean Growth. I develop a new econometric approach based on linear state space modelling to explore the role of economic growth and energy price on historical trend in energy efficiency. Findings indicate that price signal has been an important driver of energy efficiency to the extent that it has largely offset the surge in consumption induced by economic growth. The remaining component of energy efficiency is imputable to exogenous processes, not directly induced by energy prices. Although increasing energy efficiency can stimulate Clean Growth by reducing emissions, it is equally important to identify the determinants directly responsible for reducing emissions. I employ a panel time series methodology that accounts for cross sectional dependence to assess the long-term relationship between industrial processes and emissions. Findings indicate emissions can be reliably reduced by decreasing energy consumption, encouraging fuel substitution and market competition to counteract the increase in emissions related to higher capital investment. I observe considerable similarities in the relationship between market concentration on one side and emissions and innovation on the other. The transition to renewables posits the issue of net job creation as outdated carbon intensive technologies become obsolete leading to job losses. I develop an econometric framework, based on Vector Error Correction model, that estimates the employment impact for the power sector and finds that a 1 GWh increase in annual renewable electricity results in 3.5 jobs in the long-term. By applying results to decarbonisation scenarios, I find renewable technologies can lead to the creation of on average 55,000 jobs by 2030
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
The determinants and dynamics of regional convergence in the EU - JRC Working Papers on Territorial Modelling and Analysis, 06/2023
In this study, we employ the pairwise stochastic convergence approach to identify the pairs of NUTS2 regions for all 28 EU Member States that exhibit co-movement in their growth dynamics, over the period 1980-2018. We then use the observed convergence trajectories to assess the role of first nature geography and second nature geography, in causing economic growth convergence patterns. We find that western and northern parts of Europe have higher pairwise convergence (and lower intra-country convergence) rates than regions in East and Southeast Europe. We find strong evidence that first and second nature geography drive cluster-like convergence dynamics. Regions with common locational characteristics (metropolitan, coastal, islands, and mountainous) tend to converge to each other, while they diverge from dissimilar regions. Regardless of national borders, contiguity and accessibility are significant drivers of convergence. Congruence in sectoral specialisation results in divergence, that could be driven by competing economic interests within the common market. The opposite holds for dissimilarities in specialisation, which could be explained by complementarity in the production process. Overall, we find strong evidence for club convergence at the top of the EU. Bottom regions with low market dynamism and poor economic development, do not converge to each other.JRC.B.7 - Innovation Policies and Economic Impac
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
The determinants and dynamics of regional convergence in the EU
In this study, we employ the pairwise stochastic convergence approach to identify the pairs of NUTS2 regions for all 28 EU Member States that exhibit co-movement in their growth dynamics, over the period 1980-2018. We then use the observed stochastic convergence trajectories to assess the role of first nature geography, which is defined by variations in physical geography, locations and proximities, and second nature geography, corresponding to the economic interactions between partners, in causing economic growth convergence patterns. We find that western and northern parts of Europe have higher pairwise stochastic convergence (and lower intra-country convergence) rates than regions in East and Southeast Europe. Focusing on the converging NUTS2 regions, we find strong evidence that first and second nature geography drive cluster-like convergence dynamics. Regions with common locational characteristics (metropolitan, coastal, islands, and mountainous) tend to converge to each other, while they do not converge with dissimilar regions. Regardless of national borders, contiguity and accessibility are significant drivers of convergence. Congruence in sectoral specialisation results in divergence that could be driven by competing economic interests within the common market. The opposite holds for dissimilarities in specialisation, which could be explained by complementarity in the production process. Overall, we find strong evidence for stochastic club convergence at the top of the EU. In contrast, bottom regions with low market dynamism and poor economic development, do not converge to each other, and collectively lag significantly behind top European regions. Finally, we find evidence of EU Cohesion Fund payments facilitating the observed convergence dynamics across the EU, which highlights the importance of targeted regional policy interventions in reducing persistent structural regional disparities within the EU
koamabayili/VECTRON-author-checklist: VECTRON author checklist
We have done our best to complete the author checklist relating to the use of animals in the hut study. Note that the objective for the hut study was to evaluate the IRS treatment applications for residual efficacy against Anopheles mosquitoes, including the local An. coluzzii mosquito population. Cows were only used to attract mosquitoes into the huts and no tests were carried out directly on the cows. The author checklist is intended for use with studies where experiments are carried out on animals, which is why we have had such difficulty in completing this for the hut study, as many of the questions do not relate to how the cows were used
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