1,720,957 research outputs found
An analysis of the relationship between exports and economic growth in South Africa, 2000–2020
Full text linkThis study aimed to investigate how exports affect the overall growth of the economy in South Africa. Quarterly time series data from StatsSA and the South African Reserve Bank covering 2000 to 2020 were used. The study utilized numerous econometric approaches, such as the unit root test, Johansen’s cointegration procedure, the Vector Error Correction Model (VECM), and the Granger causality model, to gain a clear perception of the relationship between exports and the rate of South Africa’s economic growth. The Johansen cointegration test was conducted, confirming the presence of a longterm equilibrium relationship between the data series. The results of the unit root test indicated that both variables became stationary at the first difference, as evidenced by both passing the Augmented Dickey-Fuller (ADF) test. The correlation between exports and growth of the economy is positive in the short term and in the long term. The outcomes of the Granger causality tests indicated that GDP Granger-causes exports, signifying that economic growth in South Africa has an effect on exports. Additionally, the VECM outcomes demonstrated that there exists both a short-term and long-term relationship between economic growth and exports in South Africa
An Analysis of the Relationship Between Exports and Economic Growth in South Africa, 2000–2020
No full textThis study aimed to investigate how exports affect the overall growth of the economy in South Africa. Quarterly time series data from StatsSA and the South African Reserve Bank covering 2000 to 2020 were used. The study utilized numerous econometric approaches, such as the unit root test, Johansen’s cointegration procedure, the Vector Error Correction Model (VECM), and the Granger causality model, to gain a clear perception of the relationship between exports and the rate of South Africa’s economic growth. The Johansen cointegration test was conducted, confirming the presence of a long-term equilibrium relationship between the data series. The results of the unit root test indicated that both variables became stationary at the first difference, as evidenced by both passing the Augmented Dickey-Fuller (ADF) test. The correlation between exports and growth of the economy is positive in the short term and in the long term. The outcomes of the Granger causality tests indicated that GDP Granger-causes exports, signifying that economic growth in South Africa has an effect on exports. Additionally, the VECM outcomes demonstrated that there exists both a short-term and long-term relationship between economic growth and exports in South Africa
Going Beyond Counting First Authors in Author Co-citation Analysis
Full text linkThe 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
Full text link“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
Full text linkWe 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
Econometric estimation of the relationship between the unemployment rate and economic growth in Limpopo province, South Africa
Full text linkThis study aims to empirically estimate the relationship between economic growth and the unemployment rate in the Limpopo Province of South Africa. The analysis used quarterly data covering the 2008–2018 period, which was obtained from Statistics South Africa. For data analysis, the study employed the difference model, the dynamic model and the Granger causality test to consider the potential short term and long term relationships. Based on the difference model estimation, the Okun’s coefficient was determined to be -0.22. The Granger causality test showed that a causal relationship between these two variables does not exist, which means that a change in the growth rate of the real Gross Domestic Product (GDP) does not cause a change in the rate of unemployment and vice-versa. The impossibility of applying Okun’s law indicates that a cyclical recovery will not be accompanied by a decrease in unemployment. Furthermore, this might reflect the sizable structural and/or frictional component of unemployment in the Limpopo Province. Lastly, South Africa’s economic policies have not been suitable for fostering development that can reduce unemployment and this could be due to an improper structure of the public and private sectors
Econometric estimation of the relationship between the unemployment rate and economic growth in Limpopo Province, South Africa
No full textThe study aims to estimate empirically the relationship between economic growth and unemployment rate in Limpopo Province of South Africa. The analysis used quarterly data covering the period 2008-2018 which was obtained from Statistics South Africa. The study employed, difference model, dynamic model, and granger causality test for data analysis, in order to consider both, short term and long term possible relationship Based on the difference model estimation of the coefficient was done and the coefficient was found to be -0.22. From Granger causality test, causal relationship between these two variables doesn’t exist meaning that change in the growth rate of real GDP doesn’t cause change in the rate of unemployment and vice-versa. Inapplicable of the law indicates that a cyclical recovery will not be accompanied by reduction of unemployment. Furthermore, this might reflect the sizable structural and/or frictional component of unemployment in Limpopo Province. Lastly, the country's economic policies have not been suitable for fostering development that can reduce unemployment and this could be due to lack of appropriate composition of public sector and private sector
Dispelling the Myths Behind First-author Citation Counts
Full text linkWe 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
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