Chow Jeffrey, Tianle Liu, Coco Dijia Du, Rui Hu, Xun Wu. “From research to policy recommendations: A scientometric case study of air quality management in the Greater Bay Area, China.” Environmental Science & Policy 165 (2025): 104025. Cologna, Viktoria; Meiler, Simona; Kropf, Chahan M.; ... & Tyrala, Michael (as member of the TISP Consortium). (2025). “Extreme weather event attribution predicts climate policy support across the world”. Nature Climate Change 15: 725-735. ENVIRONMENTAL POLICY AND SUSTAINABILITY FOCUS OF STUDY This study investigates the dynamics of air quality research in the Greater Bay Area (GBA) of China, focusing on how institutional factors influence scientific contributions to environmental policy. Utilizing a scientometric meta-analysis of 687 scientific publications, the research examines the role of various funding sources and author affiliations in shaping policy recommendations. Key findings indicate that English-language articles from Hong Kong are more innovative in their policy proposals than Chinese articles, which tend to entail greater mainland government involvement and caution in recommendations. The study highlights the importance of understanding the interplay between scientific research and policy, particularly in a region characterized by distinct governance structures under the “One Country, Two Systems” framework. POLICY RECOMMENDATION To enhance the scientific robustness of air quality management, policymakers should foster greater collaboration between scientists and government agencies while ensuring that independent experts are included in the research process. Encouraging transparency and grassroots initiative in scientific inquiry and policy advocacy will lead to more innovative environmental policies. FOCUS OF STUDY This article examines how subjective attribution of extreme weather events to climate change influences public support for climate policies worldwide. Using data from over 71,000 individuals across 68 countries, the authors combine largescale climate risk modeling with global survey results. The study finds that while objective exposure to extreme weather rarely predicts policy support, subjective attribution—people believing that climate change intensified recent events—is a robust and consistent predictor of support for five key climate mitigation policies (e.g., carbon taxes, sustainable energy, forest protection). These effects vary across event types and regions, underscoring the psychological and perceptual dimensions of environmental policy engagement. POLICY RECOMMENDATION Policymakers and climate communicators should prioritize increasing public understanding of the link between climate change and extreme weather events. Communication strategies should aim to enhance subjective attribution, especially in areas where awareness is low. This may involve Integrating climate attribution science into public messaging and educational campaigns, promoting transparent and localized communication about weather– climate links, and collaborating with media outlets to frame extreme weather as “teachable moments” that reinforce the reality and urgency of climate change. Such efforts can strengthen public support for ambitious climate policies, especially in the Global South where exposure is high, but attribution remains underexplored. 23 Scholarly Showcase
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