1,720,962 research outputs found
Analysis the Effect of Household Consumption Expenditure, Investment and Labor to Economic Growth: A Case in Province of North Sumatra
Full text linkThis research is important because the commencement of the Asean Economic Community (MEA) has a positive impact that is spurring the growth of investment from within and outside the country, so that domestic investment has the potential to increase which will increase the number of employment for Indonesian workers especially in province of North Sumatera.This study aims to: identify the effect of household consumption on economic growth, identify the effect of investment on economic growth, identify the influence of Labor on economic growth, and identify the effect of interest rate on economic growth . The data used in this research were secondary data in 2006-2016 in Province of North Sumatera. Data obtained from various agencies, namely: Department of Labor and Transmigration, Central Statistics Agency of Province of North Sumatra, some other sources such as journals and relevant research results. Methods of analysis using Two Stage Least Square method (TSLS). The results of this study found that: Household consumption has a positive and significant effect to economic growth, Investment has positive and significant effect to economic growth, Labor has positive and significant impact to economic growth, and Interest rate has a negative and significant effect on economic growth
The Impact of Interest Rates and Inflation Rates on Increasing the Number of Customers Saving: Study At One of The Banks in Medan
Full text linkThis research investigates the impact of interest rates and inflation on the customer base of PT. Medan Independent Bank in terms of savings. The present study aims to examine the impact of interest rates and inflation on the customer base of Bank Mandiri (Persero) Medan. This study aims to examine the impact of interest rates and inflation on the customer base of Bank Mandiri (Persero) Medan in terms of savings. This study used a causal-comparative research design, which is a type of research that examines the cause-and-effect relationship between two or more variables. This study employs many data analysis approaches, including Validity and Reliability Tests, classical assumption tests, multiple linear regression, hypothesis testing, simultaneous tests, and the Coefficient of Determination (R2). The statistical findings show a significant relationship between the interest rate and the number of customers. This conclusion is based on the t-test (partial), where the calculated t-value of 5.039 exceeds the critical t-value of 2.920, and the significance level of 0.001 is less than the predetermined threshold of 0.05. Therefore, each interest rate significantly impacts the number of customers. Based on the obtained results, inflation substantially influences customer numbers. This conclusion is drawn from the t-test (partial) analysis, where the calculated t-value of 4.051 exceeds the critical t-value of 2.920 at a significance level of 0.001, which is lower than the conventional threshold of 0.05. Hence, individually and independently, inflation significantly impacts the number of customers. Based on the statistical findings, interest rates, and inflation substantially influence customer numbers. This assertion is supported by the F (simultaneous) test, where the F-count value of 18.348 exceeds the critical F-table value of 9.55, and the significance level of 0.000 is less than the predetermined threshold of 0.05. Hence, both interest rates and inflation significantly impact the number of customers concurrently
Analysis the Effect of Household Consumption Expenditure, Investment and Labor to Economic Growth: A Case in Province of North Sumatra
No full textThis research is important because the commencement of the Asean Economic Community (MEA) has a positive impact that is spurring the growth of investment from within and outside the country, so that domestic investment has the potential to increase which will increase the number of employment for Indonesian workers especially in province of North Sumatera.This study aims to: identify the effect of household consumption on economic growth, identify the effect of investment on economic growth, identify the influence of Labor on economic growth, and identify the effect of interest rate on economic growth . The data used in this research were secondary data in 2006-2016 in Province of North Sumatera. Data obtained from various agencies, namely: Department of Labor and Transmigration, Central Statistics Agency of Province of North Sumatra, some other sources such as journals and relevant research results. Methods of analysis using Two Stage Least Square method (TSLS). The results of this study found that: Household consumption has a positive and significant effect to economic growth, Investment has positive and significant effect to economic growth, Labor has positive and significant impact to economic growth, and Interest rate has a negative and significant effect on economic growth
The Impact of Interest Rates and Inflation Rates on Increasing the Number of Customers Saving: Study At One of The Banks in Medan
Full text linkThis research investigates the impact of interest rates and inflation on the customer base of PT. Medan Independent Bank in terms of savings. The present study aims to examine the impact of interest rates and inflation on the customer base of Bank Mandiri (Persero) Medan. This study aims to examine the impact of interest rates and inflation on the customer base of Bank Mandiri (Persero) Medan in terms of savings. This study used a causal-comparative research design, which is a type of research that examines the cause-and-effect relationship between two or more variables. This study employs many data analysis approaches, including Validity and Reliability Tests, classical assumption tests, multiple linear regression, hypothesis testing, simultaneous tests, and the Coefficient of Determination (R2). The statistical findings show a significant relationship between the interest rate and the number of customers. This conclusion is based on the t-test (partial), where the calculated t-value of 5.039 exceeds the critical t-value of 2.920, and the significance level of 0.001 is less than the predetermined threshold of 0.05. Therefore, each interest rate significantly impacts the number of customers. Based on the obtained results, inflation substantially influences customer numbers. This conclusion is drawn from the t-test (partial) analysis, where the calculated t-value of 4.051 exceeds the critical t-value of 2.920 at a significance level of 0.001, which is lower than the conventional threshold of 0.05. Hence, individually and independently, inflation significantly impacts the number of customers. Based on the statistical findings, interest rates, and inflation substantially influence customer numbers. This assertion is supported by the F (simultaneous) test, where the F-count value of 18.348 exceeds the critical F-table value of 9.55, and the significance level of 0.000 is less than the predetermined threshold of 0.05. Hence, both interest rates and inflation significantly impact the number of customers concurrently
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
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
- …
