1,720,954 research outputs found
FINANCIAL DEEPENING PARAMETERS AND ECONOMIC PERFORMANCE IN DEVELOPING NATIONS: EMPIRICAL EVIDENCE FROM THE NIGERIAN ECONOMY 1992-2022
This study examines financial deepening parameters and economic performance in developing nations: Empirical evidence from the Nigerian economy; the Autoregressive Distributed Lag Model (ARDL) was used, applying time series data from 1992 to 2022. Gross domestic product, represented as GDP is the explained variable which implies a substitute for economic growth, whereas credit allocated to the private sector (CPS), total market capitalization, borrowing rate, and money supply are alternatives for financial indicators and financial depth, respectively. The Philip Peron (PP) and Augmented Dickey-Fuller (ADF) unit root tests tested the variables' stationarity. The variables reveal stationarity at level I (0) and of order one I (1). The main finding is that the ratio of sector credit (private) to GDP has an insignificant positive association with economic growth, total market capitalization, and the rate at which lending is made, the ratio at which money flows to GDP demonstrates an adverse insignificant connection with economic growth. All applied variables' historical values were significant predictors of current values. As a result, the inquiry demonstrated that Nigeria’s development and growth of the economy are driven by the improvement and expansion of the financial system characterized by bank-based financial depth. If properly channelled and strengthened, is a promoter of Nigerian economic growt
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
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
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
EFFECTS OF SELECTED FOREIGN DEBT COMPONENTS ON NIGERIAN ECONOMY
External debt is a critical tool used by the government to fund her spending capacity, especially when it is difficult to raise taxes and reduce public expenditure as well as a significant shortfall in domestic savings to finance productive activities and provision of infrastructure. On this basis, this study is aimed at investigating the effect of foreign debt components on the growth of Nigerian economy. The study adopted econometrics analytical method rooted on Autoregressive Distributed Lag (ARDL) technique using time series data from 1986 to 2023. The empirical results from ARDL revealed a long run relationship between the variables used in the study. Bilateral debt and debt service payment have a negative and significant effect on economic growth, while multilateral debt has a positive and insignificant effect. Also, 95 percent of disequilibrium in the short run is corrected each year. The study recommends that government should diversify their economic base in other to improve their internally generated revenue as well as improve the ease of doing business in the country in other to attract more investors and generate more revenue in the country and government should go for long term external debt and concessional loan that have minimal effect to service
Author-wise bibliometric analysis based on entropy.
Author-wise bibliometric analysis based on entropy.</p
- …
