As the top-level component of the environmental impact assessment (EIA) system, policy-based strategic environmental assessment (SEA) plays an important role in avoiding the negative environmental impacts of policy implementation. However, the development of policy-based SEA in China is relatively slow due to institutional and technical difficulties. In fact, the effective inclusion of policy-based SEA in the early stage of policy decision-making will continue to face major and long-term practical resistance in the future, such that conducting policy-based SEA on a large-scale will be difficult. Therefore, this study proposes a chain-type post-assessment framework suitable for assessing the environmental impact of policies under implementation from the perspective of policy life cycle assessment to promote policy-based SEA to cover more policies. This framework includes five parts, namely, policy analysis, impact identification, impact analysis, cause exploration, and policy recommendations. This framework follows a typical model with environmental impact analysis as the core and incorporates the concept of system optimization. Following this framework, this study conducts an EIA of China's agricultural support and protection subsidy policy (ASPSP). The study finds that the framework demonstrated good applicability in the post-assessment of policies under implementation. In the future, to promote the establishment and development of policy-based SEA in China, work should be conducted from the following aspects: promotion of the policy EIA into law, establishment of an assessment framework throughout the policy life cycle, and strengthening the research on methods. Through case studies, this study finds that China's ASPSP, which is beneficial to the environment in terms of policy design, lacks a prominent positive impact on the eco-environment and even has a negative impact. This is related not only to unreasonable policy design but also to deviation from policy implementation under the joint action of policy implementers, policy object, and the policy implementation environment. In the future, while continuing to optimize and adjust policies, work should be conducted in terms of optimizing the policy implementation environment, improving policy implementation methods, and strengthening the foundation of policy implementation to improve policy effectiveness.
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