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To tackle transboundary air pollution in East Asia, international schemes for environmental cooperation have been introduced, including the Acid Deposition Monitoring Network in East Asia (EANET), Long‐Range Transboundary Pollution of China, Japan and Korea (LTP), and the North‐East Asian Subregional Programme for Environmental Cooperation (NEASPEC). These programs, however, have not been successful in establishing robust regimes for effectively reducing transboundary air pollution in the region. This paper aims to examine the process of forming epistemic communities through these programs in East Asia. A bibliometric data on the scientific articles and reports produced were analyzed to examine the network structure of the scientific activities through EANET. The fragmentation of expert groups within EANET and among the major international schemes on air pollution in East Asia contributed to discouraging solid formation of an epistemic community covering air pollution comprehensively in the region. That makes it difficult to reach a consensus based on the current state of scientific knowledge on air pollution for providing effective advice and recommendations for the development of policies and regulations.

Black carbon mitigation has received increasing attention for its potential contribution to both climate change mitigation and air pollution control. Although different bottom-up models concerned with unit mitigation costs of various technologies allow the assessment of alternative policies for optimized cost-effectiveness, the lack of adequate data often forced many reluctant explicit and implicit assumptions that deviate away from actual situations of rural residential energy consumption in developing countries, where most black carbon emissions occur. To gauge the theory-practice gap in black carbon mitigation – the unit cost differences that lie between what is estimated in the theory and what is practically achieved on the ground – this study conducted an extensive field survey and analysis of nine mitigation technologies in rural China, covering both northern and southern regions with different residential energy consumption patterns. With a special focus on two temporal characteristics of those technologies – lifetimes and annual utilization rates, this study quantitatively measured the unit cost gaps and explain the technical as well as sociopolitical mechanisms behind. Structural and behavioral barriers, which have affected the technologies’ performance, are discussed together with policy implications to narrow those gaps.

Behind the Chinese government’s ambition to increase its forest cover to 15 % by 2050 is the large-scale tree plantation that continues to threaten millions of hectares of grasslands in China’s arid and semiarid regions. Though the negative environmental impacts of this tree plantation in arid and semiarid regions have been identified by some studies, there has been little sign of policy change. In order to understand why, we must be aware of the political processes that have sustained China’s tree-centered conservation approach for the past decades, but these processes have been largely left unexamined in existing scholarly literature. This study examines these processes by identifying the interest groups involved in environmental conservation, and the ways they leverage scientific knowledge for specific political objectives. This study argues that improved scientific understanding of natural systems will be insufficient to bring about positive environmental changes unless institutional balance is adjusted correspondingly.

Previous studies on the science–policy interface concentrate mostly on institutional arrangements that facilitate the information exchange between scientists and policymakers, but few address the internal structure of the scientist community and its impact on policy-making. Considering that science emerges from academic competition, the examination of the power balance within the scientist community is crucial for understanding political outcomes in the science–policy interface. This study applies social network analysis to the scientist community of grassland management in China and demonstrates that the structure of the scientist community exerts a significant influence on the formation of environmental policies. The dominance of ecologists inside the community led to the prevalence of the overgrazing-causes-degradation narrative. Though anthropologists later questioned the narrative, their capacity to challenge the authority of ecologists was circumscribed by their small group size, weak intra-group connection, and limited political affiliation. This resulted in the persistence of biased policies that continue to blame local communities for environmental problems.

Environmental problems are usually framed by a repertoire of arguments articulated by a network of individuals (scientists and policymakers) and their affiliated institutions. Given the complexity of this network, it is important to conduct network analyses on both individual and organizational levels to achieve a better understanding of the underlying political structure that influences science-policy communication. Through an empirical study of a policy network related to grassland management in China, our study examines the underlying political structure of the network as well as its political impact on the problem-framing processes. The analysis reveals that political polarization and power imbalances in the network, the product of existing institutional arrangements, have confined the framing of environmental problems to specific areas and impeded the development of comprehensive policies.