HKUST Public Policy Bulletin Issue No.15
From Research to Policy Recommendations - A Scientometric Case Study of Air Quality Management in the Greater Bay Area, China
Jeffrey CHOW, Tianle LIU, Coco Dijia DU, Rui HU, and Xun WU
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Air quality management in the Greater Bay Area (GBA) of China’s Pearl River Delta faces complex challenges due to its unique governance structure under the "One Country, Two Systems" framework. This study investigates how scientific research informs environmental policy and the dynamics of this interaction, because the rapidly developing region faces urgent air pollution challenges. Understanding the science-policy interface is crucial for effective environmental governance and achieving better air quality outcomes.
This study employs a comprehensive scientometric meta-analysis to examine the contributions of scientific research to air quality management in the GBA. It focuses on both Chinese and English-language publications from 2000 to 2019, encompassing a range of articles that meet specific criteria related to air pollution and its management. A detailed database was compiled, which includes articles analysed for their funding sources, institutional affiliations, and policy content.
By utilising a manual coding approach, the researchers were able to capture nuanced characteristics often overlooked in automated analyses, such as the extent of government involvement in research and the nature of policy recommendations made within the studies. This methodology allows for a deeper understanding of how institutional factors, including political systems and funding arrangements, shape the science-policy interface in the context of environmental governance in the GBA.
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Further readingChow, Jeffrey, Tianle Liu, Coco Dijia Du, Rui Hu, and 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.. |



