1,720,974 research outputs found
Spatial spillover effects of gender inequality on the path to energy transition and environmental sustainability in Asia
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The mutual effects of residential energy demand and climate change in the United States: A wavelet analysis
Get PDFThis study examines the complex and time-varying relationship between residential energy demand (including electricity, geothermal, and solar energy) and climate change using wavelet analyses with monthly USA data from January 1990 to March 2023. The results show that residential energy demand and climate change indicators exhibit a time-varying interrelationship with cyclical and lag effects. Specifically, before 2021, a positive correlation between residential electricity demand and carbon dioxide (CO2) emissions in short-term frequencies was found, but the relationship reversed thereafter, with an increase in CO2 levels influencing and decreasing residential electricity demand. In the long run frequencies, the link between residential power consumption and CO2 emissions shifted over time, exhibiting inconsistent co-movement. The co-movements between residential geothermal and CO2 show predominantly positive correlations, with CO2 leading the relationship in the short run, while geothermal leads the co-movements in the long run. In both short and long-term frequencies, the dependency and co-movement between residential solar and CO2 are mixed, with residential solar leading to positive correlations and CO2 leading to negative correlations. Therefore, improved insulation, energy-efficient windows, and high-efficiency heating systems can all assist in reducing heat loss and the total energy demand for domestic heating and subsequently low CO2 emissions
Going Beyond Counting First Authors in Author Co-citation Analysis
Get PDFThe 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
Get PDF“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
Get PDFWe 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
Get PDFWe 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
Do Innovation in Environmental-Related Technologies and Renewable Energies Mitigate the Transport-Based CO2 Emissions in Turkey?
No full textGiven the unprecedented level of air pollution in urban areas, green transport systems has been a subject to an important debate in academic and policymaking circles. Despite the considerable outputs of the attendant literature, most of empirical studies to date have relied on conventional econometric models in which structural shocks are not controlled. This study, therefore, aims to offer a new perceptive of the dynamic connection between renewable energy, environment-related technological innovation, and transport-based CO2 emissions in Turkey during 1990Q1 to 2014Q1 by applying the Structural Vector Autoregressive approach (SVAR). Furthermore, to explore the co-movements and the lead-lag interrelations among the study variables, the wavelet coherence technique was used. The wavelet coherence technique circumvents the other traditional causality approaches by detecting the causal interrelation between the underlying series at different frequencies. The findings disclose that environment-related technological innovation has no reliable power to explain the variation in CO2 emissions from the transport sector. Solar energy is found to impact the CO2 emissions positively in the long run, while biofuels hold the same effect in short run. Moreover, per capita GDP and urbanization significantly impact the carbon emissions from the transport system in the long run with a negative sign. The wavelet analysis reveals that renewables and environmental-related technological innovation lead the transport-based CO2 emissions. The fourth and 16th periods are the most dominant frequencies. Accordingly, the study suggests that innovation in environment-related technologies is not enough to mitigate the pollution that stemming from the transport system in Turkey, it should be accompanied by strong and effective environmental measures. These policies might include environmental taxations, carbon pricing and trading schemes, which aim not only to prevent the pollution and over-extraction of resources, but also to promote the public revenues from different activities that related to environmental purposes and other applications such as energy product and vehicle fuels. In addition, it is suggested to strengthening the transportation system through the deployment of renewables and high-tech eco-friendly modes of transportation
koamabayili/VECTRON-author-checklist: VECTRON author checklist
No full textWe 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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