One of the key issues facing the government in achieving carbon neutrality is what methods can be used to effectively reduce carbon emissions. Taking manufacturing enterprises as an example, this paper studies the carbon emission reduction effects of green technology innovation subsidy (GIS), carbon tax (CT), and carbon emission trading (CET). Under the background of social welfare and carbon emission reduction efficiency, we get the results of optimal carbon emission reduction measures in different environments. The results are as follows: (1) In the initial and mature stage of green technology innovation, GIS is the best choice to improve the degree of green manufacturing and maximize social welfare. CT and CET are the best choice to obtain the highest SE (carbon emission reduction efficiency). (2) In the transitional stage, CET and CT can promote the maturity of green technology. However, with the maturity of green technology, the promotion of green technology has weakened. CT is the best choice to achieve the highest SE. (3) When the carbon tax or carbon trading price is at a high or low level, raising the tax rate or carbon trading price can increase the income of enterprises. Therefore, the government should take measures according to the objectives of different stages. When the goal is to maximize social benefits, GIS is the best choice in the initial stage and transition stage, and CET or CT is the best choice in the transition stage. In the initial stage and fertilization stage, when the highest SE, CT, or CET is the best choice, while in the transition stage, CT is the best choice.
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http://dx.doi.org/10.1007/s11356-022-21386-5 | DOI Listing |
PLoS One
January 2025
Centro Universitario Ciudad de Mendoza, Universidad Nacional de Cuyo, Mendoza, Argentina.
In this paper, we enhance the Best-Worst Scaling (BWS) method by incorporating participants' preference uncertainty into the conventional BWS, known as case 1. In this context, respondents are tasked with making trade-offs among a set of items of interest. Applying this novel extended BWS method to a sample of Argentinian wine consumers (n = 342), we aim to a) provide a more informative elicitation of consumers' relative preferences for 16 wine attributes; b) identify the level of uncertainty with each of the attributes, exploring differences between the most and least important wine attributes influencing purchasing wine; and c) compare the results of the extended BWS with the standard BWS.
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December 2025
Faculty of Medical Sciences, Obstetrics and Gynecology at Lebanese University, Beirut, Lebanon.
Background: Shoulder dystocia, a challenging condition for obstetricians, poses significant risks to both maternal and neonatal health, including maternal postpartum hemorrhage, neonatal hypoxia, and brachial plexus injury. Despite being unpredictable and unpreventable, effective management can mitigate these risks. Miscommunication and poor leadership are responsible for 72% of medical errors, which further highlights the importance of robust leadership skills in obstetric emergencies.
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January 2025
Department of Internal Medicine, Dow University of Health Sciences, Karachi, Pakistan.
Background: Implantable cardioverter-defibrillators (ICDs) are essential for reducing sudden cardiac death in patients at risk of ventricular arrhythmias. The choice of ICD lead - single-coil or dual-coil - can influence device performance and patient outcomes. This meta-analysis evaluates the comparative efficacy and safety of single-coil versus dual-coil ICD leads to inform clinical decision-making.
View Article and Find Full Text PDFUnlabelled: Shortlisting is the task of reducing a long list of alternatives to a (smaller) set of best or most suitable alternatives. Shortlisting is often used in the nomination process of awards or in recommender systems to display featured objects. In this paper, we analyze shortlisting methods that are based on approval data, a common type of preferences.
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January 2025
Department of Oncology, Bishan Hospital of Chongqing Medical University, Chongqing, China.
Background: Several head-to-head meta-analyses have compared the efficacy and safety of different first-line treatments in patients with EGFR mutation-positive (M+) advanced or metastatic non-squamous non-small cell lung cancer (nsq-NSCLC). However, there is a lack of comprehensive evaluation encompassing multiple treatment strategies. Our objective is to conduct a network meta-analysis that includes various treatment modalities, enabling both direct and indirect comparisons for a more thorough assessment.
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