1,726,079 research outputs found

    Gallo, E.

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    Reduction of CO2 emissions, climate damage and the persistence of business cycles: A model of (de)coupling

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    The paper develops a theoretical model to examine the effects of transitioning to green investment on business cycle dynamics and CO2 emissions reduction. Building on Goodwin's (‘The Nonlinear Accelerator and the Persistence of Business Cycles’, Econometrica, pp. 1–17, 1951) endogenous business cycle theory, the paper models the shift from brown to green investment as a logistic diffusion process. This framework captures the short-run procyclicality of emissions while allowing for both coupling and decoupling scenarios between output and emissions over the business cycles. The model demonstrates that the investment channel's impact on emissions varies depending on the transition's timing, magnitude, and sensitivity to green–brown investment dynamics. Furthermore, the paper shows that the integration of climate damage can result in milder expansion phases and sharper downturns, potentially offsetting the positive effects of the green transition. The analysis contributes to the understanding of short-run economy-ecology feedback mechanisms, with the model's flexibility capturing varying degrees of decoupling between emissions and output, thus accommodating scenarios in both advanced economies and emerging markets

    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

    How short is the short run in the Neo-Kaleckian growth model?

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    The paper provides an analytical solution to the differential equation that regulates the motion of the neo-Kaleckian model in the short run. After presenting a simple open economy neo-Kaleckian model with government activity, the paper analytically derives an expression for the time of adjustment, defined as the time required for the system to make a k percent adjustment from one steady-state to another. The solution shows that there is an inverse relationship between the time of adjustment and (i) the strength of the Keynesian stability condition; (ii) the behavior of entrepreneurs underlying their decisions to more rapidly/slowly respond to changes in goods market conditions. Last, the model is calibrated for the US, showing that the vicinity of the new equilibrium is reached after a period of about 5 quarters under a baseline calibration. By formally analyzing the out-of-equilibrium trajectory of the neo-Kaleckian model, this contribution moves away from the method of comparative dynamics and provides a historical-time representation of the model's traverse

    A Zero-Voltage Switching Control for Four-Switch Buck-Boost Converters Using the Energy-Based Modeling

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    This letter proposes a zero-voltage switching control strategy for four switch buck–boost converters where the output voltage and the base current are closed-loop regulated. The analytical steady-state expressions allow the control variables’ regulation by only knowing the electrical parameters of the circuit and the zero-voltage switching current. The control uses two proportional–integrative controllers and a predictive function without the need for complex rms current minimization techniques or logic. The control scheme is implemented and demonstrated using an experimental setup

    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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