1,721,693 research outputs found

    Estimating energy savings from benchmarking policies in New York City

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    A growing number of governments have begun to implement benchmarking or energy disclosure policies. By requiring owners to measure and disclose their energy use, these policies are intended to transform the market for energy-efficient investments in existing buildings. To improve future policy efforts, two critical questions are: first, how much energy do these policies save? and second, what particular aspects of these policies are most effective? To answer these questions, this study explores how different aspects of these policies were phased-in to different groups of buildings over the first four years of the City of New York's benchmarking ordinance. By applying a novel difference-in-differences strategy, we can causally attribute observed declines in energy consumption to specific owner behaviors and policy mechanisms. Our analysis indicates that in comparison with the control group and before the policies were implemented in 2011, total disclosure of both energy use and Energy Star together can be credited with a 6% reduction in building energy use intensity (EUI) three years later and a 14% reduction in EUI four years later. Disclosure of Energy Star scores decreased building EUI by 9% three years later and 13% four years later. These two separate findings are a consequence of the policy design and different control groups. (C) 2017 Elsevier Ltd. All rights reserved.

    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

    sj-tif-5-tan-10.1177_17562864211055694 – Supplemental material for Efficacy and safety of immunosuppressive therapy in myelin oligodendrocyte glycoprotein antibody–associated disease: a systematic review and meta-analysis

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    Supplemental material, sj-tif-5-tan-10.1177_17562864211055694 for Efficacy and safety of immunosuppressive therapy in myelin oligodendrocyte glycoprotein antibody–associated disease: a systematic review and meta-analysis by Qi-Lun Lai, Yin-Xi Zhang, Meng-Ting Cai, Yang Zheng, Song Qiao, Gao-Li Fang and Chun-Hong Shen in Therapeutic Advances in Neurological Disorders</p

    sj-docx-1-tan-10.1177_17562864211055694 – Supplemental material for Efficacy and safety of immunosuppressive therapy in myelin oligodendrocyte glycoprotein antibody–associated disease: a systematic review and meta-analysis

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    Supplemental material, sj-docx-1-tan-10.1177_17562864211055694 for Efficacy and safety of immunosuppressive therapy in myelin oligodendrocyte glycoprotein antibody–associated disease: a systematic review and meta-analysis by Qi-Lun Lai, Yin-Xi Zhang, Meng-Ting Cai, Yang Zheng, Song Qiao, Gao-Li Fang and Chun-Hong Shen in Therapeutic Advances in Neurological Disorders</p
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