1,720,956 research outputs found
Fiscal Impacts on Output in a Small Open Economy: The Case of Albania
The paper is intended to study the effects of total government spending and tax revenue on the annual GDP growth rate in Albania. On this base, we can examine whether and to which extent the macroeconomic governance could rely on those fiscal instruments in terms of a small open economy. The empirical methodology is based on regression analysis which includes OLS estimation on simply specified regression model and Vector Autoregressive estimates. The results support the assumptions that government expenditure is a weak instrument for policy impacts and the government must rely on taxation to stimulate economic growth
ALBANIA’S LEVIATHAN GOVERNMENT: COULD IT REALLY EXIST?
The paper aims to test whether the local revenue collection contributes to a smaller government in Albania. The analysis allows us to understand whether the revenue decentralization is an efficient restraint on the Leviathan behaviour of government in terms of a small open emerging-market economy. Albania is a post-communist country with new democracy. The methodology of empirical analysis is based on the regression of time series data. The regression model is specified to link the total government revenue as a proxy for government size and the local revenues as a proxy for fiscal decentralization. The results do not confirm the hypothesis for restrictive effects of the decentralized revenue collection on the total government revenue
Local Fiscal Capacity in the New Members of the European Union: Is It Efficient?
Purpose – This paper aims to analyze the efficiency of the fiscal capacity of the local governments in the new members of the EU.Design/methodology/approach – The impact of the locally collected taxes on economic growth is analyzed by the means of regression analysis. The GDP growth rate is adopted as a dependent variable in the model and its deviations are explained via tax instruments for building fiscal capacity.Findings – Strong positive effects on economy, when property taxes come in local budgets.Research limitations/implications – There are many factors affecting the economic growth, which are not included in the regression model. The effects of the charges levied by local governments also remain without estimation.Originality/Value - The study fills in the gap of research on the benefits of local fiscal capacity in the countries of interest
An empirical evidence for the impact of taxation on economy growth in the European Union
The paper is intended to study the basic trends in the distribution of the total tax burden in the EU (27) member states during the period 1995-2010. The comparative analysis is focused on the cross-country differences in terms of total tax burden, measured by the tax-to-GDP ratio and design of tax structure, presented by the breakdown of the total tax revenues into standard components such as direct taxes, indirect taxes and social contributions. Special emphasis is placed upon the impact of taxation on the economic growth. The relationship is investigated by the means of the regression analysis. The conclusion is that tax structure based on direct taxes is more efficient in terms of supporting the economic growth in the EU countries
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
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