1,720,955 research outputs found
Energy-related uncertainty, financial regulations, and environmental sustainability in the United States
Get PDFThe US has been classified as being “insufficient” by the Climate Action Tracker, indicating that the current actions and policies fall short of addressing critical environmental challenges. This suggests the need for enhancing the existing policy measures for improving environmental sustainability. To this end, this study investigates the time-varying impact of energy-related uncertainty and financial regulations on sectoral CO2 emissions in the US. The bootstrap rolling-window Granger causality approach is employed to examine quarterly data spanning 1990Q1–2021Q4. The estimation results reveal that energy-related uncertainty increases CO2 emissions in the transportation, residential, manufacturing, and construction sectors. On the other hand, financial regulations are found to reduce CO2 emissions across the agricultural, transportation, residential, manufacturing, and construction sectors. The findings suggest the need for enhanced policy measures to improve energy stability and strengthen financial regulations focusing on climate-related disclosures and facilitating investments in low-carbon initiatives
MACROECONOMIC DETERMINANTS OF MICROFINANCE BANKS’ CAPITAL STRUCTURE IN NIGERIA
Get PDFThe financial stability of Microfinance Banks (MFBs) in Nigeria is pivotal to advancing financial inclusion and stimulating economic development, particularly among underserved populations. However, these institutions operate in a dynamic and often unstable macroeconomic environment, which significantly influences their capital structure decisions. This study investigates the macroeconomic determinants of capital structure among Nigerian MFBs, focusing specifically on inflation, exchange rates, gross domestic product (GDP), and lending rates. Adopting an ex-post facto research design, the study utilizes aggregated secondary data obtained from the Central Bank of Nigeria (CBN) Statistical Bulletin, covering the period from 1992 to 2022. The analysis employs the Auto Regressive Distributed Lag (ARDL) regression technique to examine both short-run and long-run dynamics. The findings show that the inflation rate has a positive association with MFBs\u27 capital structure (coefficient = 0.018, p = 0.016) in the short run and (coefficient = 0.008, p = 0.033) in the long run. Similarly, GDP negatively impacts capital structure of MFBs with (coefficient = -0.024, p = 0.035) in the long run. Other variables, such as exchange rates and lending rates, were not statistical significant. The study concludes that macroeconomic conditions substantially shape the capital structure decisions of MFBs in Nigeria. It recommends among others that MFBs should adopt strategic measures to manage macroeconomic fluctuations, such as implementing inflation-hedging strategies by increasing reliance on equity financing during periods of high inflation
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
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
Author-wise bibliometric analysis based on entropy.
No full textAuthor-wise bibliometric analysis based on entropy.</p
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