To address China’s major governance needs for jointly advancing carbon reduction, pollution control, green expansion, and economic growth, this research area focuses on theoretical modeling, mechanism identification, and policy optimization for multi-objective coordinated governance. It aims to enhance the systematic integration, precision, and effectiveness of coordinated governance systems, supporting the coordinated advancement of the green and low-carbon transition at the national level.

Research includes, but is not limited to: (1) systematic assessment of the current state of coordinated governance in China and analysis of emerging trends, and development of a theoretical framework for jointly characterizing the multidimensional uncertainties and diverse forms of heterogeneity in synergistic effects; (2) development of an integrated assessment modeling framework for synergistic effects across different industries and spatial scales, and analysis of the effects of coordinated policy governance and the mechanisms through which it enhances effectiveness; (3) optimization modeling and solution methods for multi-objective coordinated governance, exploring optimal combinations of policy instruments, including command-and-control, market-based, and social mobilization instruments, to provide scientific support and a basis for decision-making in jointly advancing carbon reduction, pollution control, green expansion, and economic growth.

Associated Faculty: Yi-Ming Wei and Ke Wang.