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Today, more than 70 carbon pricing schemes have been implemented around the globe, but their contributions to emissions reductions remains a subject of heated debate in science and policy. Here we assess the effectiveness of carbon pricing in reducing emissions using a rigorous, machine-learning assisted systematic review and meta-analysis. Based on 483 effect sizes extracted from 80 causal ex-post evaluations across 21 carbon pricing schemes, we find that introducing a carbon price has yielded immediate and substantial emission reductions for at least 17 of these policies, despite the low level of prices in most instances. Statistically significant emissions reductions range between -5% to -21% across the schemes (-4% to -15% after correcting for publication bias). Our study highlights critical evidence gaps with regard to dozens of unevaluated carbon pricing schemes and the price elasticity of emissions reductions. More rigorous synthesis of carbon pricing and other climate policies is required across a range of outcomes to advance our understanding of "what works" and accelerate learning on climate solutions in science and policy.
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http://dx.doi.org/10.1038/s41467-024-48512-w | DOI Listing |
Pharmacoeconomics
September 2025
Department of Pharmacy, Uppsala University, Box 580, 751 23, Uppsala, Sweden.
Background: Immune checkpoint inhibitors (ICIs) are clinically beneficial but associated with high costs that represent a growing challenge for healthcare budgets and may affect affordability, especially in resource-limited settings. Moreover, the healthcare sector is a significant source of greenhouse gas emissions, and medication-related waste-such as that from vial-based therapies-has been identified as a contributing factor. Alternative dosing strategies could reduce the environmental and financial impact of ICI therapy while maintaining clinical safety and efficacy.
View Article and Find Full Text PDFFront Public Health
September 2025
Department of Emergency, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China.
Aim: This study aimed to analyze the disease burden of carbon monoxide poisoning (COP) in China from 1990 to 2021 and to forecast future trends.
Methods: Data were retrieved from the Global Burden of Diseases, Injuries, and Risk Factors Study (GBD) 2021. The incidence, prevalence, mortality, and Disability Adjusted Life Years (DALYs) and their corresponding Age-Standardized Rates (ASRs) were examined to assess the burden of COP in China from 1990 to 2021.
Environ Sci Pollut Res Int
September 2025
Vellore Institute of Technology, Vellore, 632014, Tamil Nadu, India.
The significant global energy consumption strongly emphasizes the crucial role of net-zero or green structures in ensuring a sustainable future. Considering this aspect, incorporating thermal insulation materials into building components is a well-accepted method that helps to enhance thermal comfort in buildings. Furthermore, integrating architectural components made from solid refuse materials retrieved from the environment can have significant environmental benefits.
View Article and Find Full Text PDFChem Rec
September 2025
Electrochemistry Group, Max Planck Institute for Chemical Energy Conversion, Stiftstrasse 34-36, 45470, Mülheim an der Ruhr, Germany.
An analysis is conducted with the intention to clarify which molecules are more promising as renewable electricity storage media, taking into consideration some basic parameters like theoretical and practical voltage, theoretical energy density, etc. The central aspect of analysis is to apply sufficiently simple, but relevant criterion, the minimum cost of electricity required to produce a specific quantity of chemical energy storage medium, in relation to the prevailing market prices of the produced chemicals. Therefore, the study analyzes the cost of electrical energy needed to selectively convert CO into specific molecules such as, CO, CHOH, and CH, among others, water into hydrogen, and nitrogen into ammonia, by considering both idealized and more realistic operational conditions.
View Article and Find Full Text PDFPLoS One
September 2025
College of Intelligent Science and Control Engineering, Jinling Institute of Technology, Nanjing, China.
Traffic congestion frequently occurs in the drop-off zones of large integrated passenger hubs, posing significant challenges to the efficient utilization of lane space. This study develops a First-In-First-Out (FIFO) taxi drop-off decision-making model, incorporating both static and dynamic Logit frameworks grounded in panel data analysis. The model accounts for heterogeneity across vehicles, temporal variations, and spatial factors influencing drop-off decisions.
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