1,720,962 research outputs found

    Can artificial intelligence mitigate environmental inequality?:Evidence from leading robotic-driven economies using quantile-based methods

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    The rapid integration of AI into global economies raises critical questions about its environmental impact, especially concerning the equitable distribution of carbon emissions. This aspect of climate justice remains largely unexplored. Existing literature extensively examines AI's aggregate environmental impacts; however, it largely overlooks the differential effects across emission quantiles and their implications for environmental inequality. This oversight creates a significant research gap. This study addresses this critical void by investigating the dynamic relationship between AI adoption and carbon emissions inequality (CEI) across ten technologically advanced economies from 2000 to 2023, employing a novel multivariate quantile-on-quantile regression (MQQR) methodology that captures nonlinear dependencies and heterogeneous effects across the entire distribution of environmental inequality. The empirical findings reveal stark heterogeneity across nations and quantile distributions, demonstrating the complex, non-uniform nature of AI's environmental equity implications. European economies exhibit a three-phase trajectory: early AI adoption increases emissions inequality; mid-level adoption stabilizes it; and advanced integration reduces it, particularly in Denmark, France, and Sweden. Germany displays persistent positive effects across all quantiles. Among Asian economies, Japan and Singapore transition from initial increases to reductions in emissions inequality at higher quantiles, while Korea shows consistently positive effects. China presents an oscillating pattern, and the United States exhibits alternating effects across different quantiles. These results underscore the double-edged role of AI in environmental equity, revealing that the relationship between technological advancement and climate justice is neither universal nor linear. The findings provide crucial insights for policymakers, emphasizing the need for quantile-specific, country-tailored AI governance strategies that account for national developmental stages and distributional impacts to ensure AI-driven transformation contributes to environmental justice objectives.</p

    Circular Pathways to Sustainability: Asymmetric Impacts of the Circular Economy on the EU&rsquo;s Capacity Load Factor

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    Amid escalating environmental crises&mdash;ranging from biodiversity loss to climate instability&mdash;the circular economy has emerged as a promising pathway to align economic growth with ecological limits. The objective of this study is to examine the asymmetric impact of a novel composite circular economy index (CEI)&mdash;constructed via entropy weighting&mdash;on the load capacity factor (LCF), a holistic sustainability metric, across 27 EU member states over 2010&ndash;2023. Employing the method of moments quantile regression (MMQR) and controlling for GDP, foreign direct investment, trade openness, employment, and population growth, the main findings indicate pronounced heterogeneity: positive CEI shocks yield a 1.219 percent increase in LCF at the 90th quantile versus just 0.229 percent at the 10th, revealing a &ldquo;sustainability premium&rdquo; for high-performing economies, while negative shocks inflict a &minus;5.253 percent decline at the 90th quantile, exposing their greater vulnerability. Low-LCF countries, by contrast, display relative resilience to downturns, likely due to less entrenched circular systems. Panel Granger causality tests further reveal bidirectional feedback loops between LCF and economic growth, investment, and labor markets, alongside a unidirectional effect from trade openness to enhanced sustainability. These insights carry clear policy implications: high-LCF nations require safeguards against circularity backsliding, whereas low-LCF members need capacity-building to convert latent resilience into sustained gains&mdash;together forming a nuanced blueprint for achieving the EU&rsquo;s 2050 climate-neutrality ambitions

    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

    The Impact of Environmental Governance on Energy Transitions: Evidence from a Global Perspective

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    The accelerating degradation of the global environment, primarily driven by dependence on fossil fuels, has intensified the urgency for energy transitions toward renewable sources. While the literature on energy transitions is expanding, the role of environmental governance, particularly the stringency of environmental policies, remains insufficiently understood. This study addresses this gap by empirically examining how environmental policy stringency influences national energy transitions. Using a balanced panel of 29 countries over the period 2010&ndash;2024, we construct an energy transition indicator and estimate its relationship with policy stringency while controlling for macroeconomic and structural factors such as income, trade openness, and foreign direct investment. To mitigate endogeneity and cross-sectional dependence, we employ robust econometric techniques, including Instrumental Variables (IV) two-step Generalized Method of Moments (GMM) and IV two-stage least squares estimators. The results provide strong evidence that stricter environmental policies significantly accelerate the shift toward cleaner energy sources. Furthermore, the findings highlight the complementary roles of financial innovation in mobilizing green investments and economic complexity in facilitating sustainable energy adoption. These insights underscore the critical importance of stringent environmental governance in achieving global decarbonization goals and inform policymakers on the design of effective regulatory frameworks to foster energy transitions

    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

    Author Index

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    koamabayili/VECTRON-author-checklist: VECTRON author checklist

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    We have done our best to complete the author checklist relating to the use of animals in the hut study. Note that the objective for the hut study was to evaluate the IRS treatment applications for residual efficacy against Anopheles mosquitoes, including the local An. coluzzii mosquito population. Cows were only used to attract mosquitoes into the huts and no tests were carried out directly on the cows. The author checklist is intended for use with studies where experiments are carried out on animals, which is why we have had such difficulty in completing this for the hut study, as many of the questions do not relate to how the cows were used
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