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The purpose of this paper is to analyse the significance of developments across Chinese higher education in the field of education and learning for sustainable development (SD) and to assess the relative impact of these initiatives.

This is a review of policy and practice to examine developments, challenges, and prospects for education for sustainable development (ESD) in higher education in China. Selected educational and operational activities in different universities are presented for analysis and contextualized in relation to the aims of Agenda 21 in China and the broader ESD movement.

Key barriers for the balance and promotion of ESD in higher education are identified, with particular focus on regional differences in this vast developing nation, and the need for broader educational approaches across academic disciplines. Teaching about SD has been integrated into technical fields, especially at universities in major cities, and research has been undertaken to develop economically effective and environmentally friendly innovations. However, resources and capacity are still very limited, given the ambitions associated with SD in China. National and international networks and collaborations must be promoted, and curricula and research need to be reoriented, to progress education and change for SD in Chinese higher education.

Little analysis has taken place regarding the progress of ESD in higher education in China. This paper provides an initial survey of leading developments and an assessment of the relative success to date in this field, for comparison with progress in other regions and countries. The identification of challenges faced by China with regard to sustainability and economic development should help to contextualize efforts towards sustainability innovation in higher education. The paper considers the rapid economic, ecological and social change being experienced in China and the substantial challenges of scale and localization involved in its SD initiatives.

This study aims to analyze reform path for waste management policy implementation. With reference to the Bayesian theory, this study provides a dynamic policy conversion method through various context settings. Furthermore, this study attempts to present an empirical research paradigm.

Matland’s “ambiguity-conflict model” is applied to explain the problems and reform paths of China’s waste management policy implementation. Integrating structure discovery and bibliometrics into qualitative analysis, this study used search data from literature search engine with specific themes to achieve structure learning of Bayesian network with key factors refined in waste management policy.

The results show that China’s waste management policy implementation belongs to symbolic implementation with high ambiguity and high conflict. Four basic conversion paths for the waste management policy are proposed, which are classified by length and stability. Then, it is possible to locate the factors, paths and types of policy implementation through involvement analysis with features of each path and each district of policy implementation. Public education holds direct but unstable impact on waste management. Economic incentives hold continuous but gradually diminishing impact. Perceived policy effectiveness plays the crucial role like a central bridge. Resident conditions have a positive impact, which could be enhanced through economic development of China. The impact of subjective norm on waste management is not significant. But subjective norm has the potential breakthrough for solving stagnation of waste classification policy. However, the impacts from each factor may change along with economy growth and technology innovation.

This study uses the “ambiguity-conflict model” to position China’s waste classification policy and suggests that structure discovery methods help understand feasible reform paths for reform policy. The integration of theoretical analysis and quantitative simulation can achieve a comprehensive analysis of problems and solutions in waste management policy implementation of China. Promotion and education, economic incentives, perceived value, behavior control, subjective norm, perceived policy effectiveness, informal waste recycling system and residential conditions are explored as key factors for waste classification policy implementation as a representative in waste management policy. The role of each key factor and features of each conversion paths are integrated to position reform paths in the ambiguity-conflict model. This work helps to explain the stagnation of waste management policy implementation from the perspective of dynamic structure evolution, and some specific suggestions to get out of stagnation are proposed.