1,720,955 research outputs found
ECONOMIC GROWTH AND STOCK MARKET IN NIGERIA: VECTOR ERROR CORRECTION MODEL APPROACH
No full textThe contribution of stock market to economic growth is crucial for countries where incomes and hence domestic savings are particularly low, like Nigeria. They needed external capital for investment and to promote their economic growth and development. A country with relatively strong and robust stock market attracts more and rapid economic growth and development than one with weak and fragile stock market. This research study examines the economic analysis of impact of stock market on the economic growth in Nigerian economy between 1981 and 2020. The study used vector error correction model(VECM) to determine the relationship between economic growth and some key indicators of stock market. ADF Unit root and Johansen Cointegration tests were conducted on the time series data used for this study to ascertain if they are stationary and cointegrated to avoid spurious regression and correlation associated with non-stationary time series variables. The tests reveal that all the variables; (GDP,MCAP, TLEGS, TNI , and TVTS) were non-stationary but integrated of order one i.e. I(1). Results show that indicators of stock market( MCAP, TVTS,TLEGS,TNI) had positive impact on economic growth. Except coefficient of TVTS that was statistically insignificant at 0.05, findings reveal that the coefficients of all other explanatory variables(MCAP, TLEGS and TNI) were statistically significant at 5 per cent. The coefficient of error correction term was rightly signed and significant. The pairwise granger causality tests show bi-directional causalities between each of (MCAP, TLEGS, TNI) and economic growth and vice-versa but no causality running from TVTS to economic growth and vice-versa. Based on these findings, this study recommends among others that a better and functional intuitions must be in place. This is to oversee institutional and regulatory reforms in the stock market
ERROR CORRECTION MODEL OF IMPACT OF EDUCATION ON ECONOMIC GROWTH IN NIGERIA (1980-2014)
No full textInvestment in Education is one of the surest ways of achieving human capital formation. Human capital formation involves investment in education, training, health and other social services that enhance the productivity capacity of labour. This study examines impact of education on the economic growth in Nigeria from 1980-2014 using error correction model (ECM). Unit root and cointegration tests were carried out on the variables used in the study. Findings show that all the independent variables; capital and recurrent expenditures on education, physical capital (gross fixed capital formation) and labour force have both positive and significant impact on economic growth. Also, previous growth has a positive and significant impact on current growth. The study recommends among others; more expenditure in terms of capital and recurrent expenditures on educational sector as well as proper monitoring and evaluation of the funds allocated to both capital and recurrent expenditures on education so as to achieve the objectives for which such funds are designed for
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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