1,720,995 research outputs found

    Optimal taxation in an endogenous growth model with variable population and public expenditure

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    In this paper we analyze second-best optimal taxation in an endogenous-growth model driven by public expenditure, in presence of endogenous fertility and labor supply. Normative analysis shows positive taxes on the number of children, which are necessary to correct for congestion in the publicly provided input (such as education and healthcare), negative public debt. Results on capital and labor income taxation depend on whether the public input is optimally provided

    Optimal Taxation, Critical-Level Utilitarianism and Economic Growth

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    We analyze tax policies in an intertemporal economy with endogenous fertility under critical-level utilitarianism, both from a positive and a normative standpoint. On the positive side, we analyze the effects of a change in the tax on capital income and on fertility, both separately and combined so as to keep the per-capita public debt constant. On the normative side, we characterize the first- and second-best optimal tax structures, for both exogenous and endogenous labor supply

    The impacts of fossil fuel subsidy removal on Bangladesh economy

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    This paper investigates how the removal of fossil fuel subsidy affects the welfare of a small, oil-importing country like Bangladesh. In doing so, an energy augmented Dynamic Stochastic General Equilibrium (DSGE) model is developed. The model is calibrated and simulated for the Bangladesh economy under three scenarios, and the results reveal that a 10 per cent reduction in fossil fuel subsidy results in an overall increase in household welfare by 0.36 per cent. However, complete removal of fossil fuel subsidy would increase welfare by 1.89 per cent. The results also show that the subsidy removal schemes improve the country’s fiscal burden. We highlight the fact that fossil fuel subsidy acts as a barrier to the development of renewable energy technologies in Bangladesh which can play a significant role in promoting the country's future energy security. So, the paper suggests that the government should use the revenue earned from the fuel subsidy removal to offer incentives to new electricity generators who would enter in the market planning to produce electricity with renewable technology. Following a revenue-neutral subsidy scheme, the government should also encourage the existing electricity generators to adopt renewable technologies in generating electricity

    The Role of Captive Power Plants in the Bangladesh Electricity Sector

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    Captive power plants (CPPs) in many emerging and developing countries play a significant role in the electricity sector. This is mainly due to unreliable electricity supplies from state-owned utilities and challenges in accessing the national grid, especially in remote and rural areas. Integrating the captive capacity with the on-grid supply can improve resource utilization in the electricity market. In this study, we focus on the role of CPPs in Bangladesh. We start by providing recent stylized facts and survey the experience of other countries. We then use a dynamic stochastic general equilibrium (DSGE) model to examine the effects of allowing CPPs to sell their excess output to the national grid at regulated prices. We find that opening the grid to CPPs would reduce the industrial output and GDP due to pre-existing energy price distortions. We also show that the Bangladesh economy would become more vulnerable to oil price shocks if CPPs were connected to the national grid. We conclude that the government should not open the grid to CPPs yet. Instead, it should first consider alternative reforms, such as taking steps to reduce the price distortions and enabling a competitive market environment

    Going Beyond Counting First Authors in Author Co-citation Analysis

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    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

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    “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

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    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

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    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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