Sustainability transformation calls for complexity-informed systemic policy design
本文提出了一个概念框架，将复杂性理论融入系统性政策设计，以促进可持续转型。框架从宏观、中观、微观三个层面分析转型条件，对政策制定者和转型研究者有参考价值。
This paper develops a conceptual framework for integrating complexity theory into systemic policy design for sustainability transformations (ST). We conceptualize ST as a dynamic design challenge requiring enabling conditions—relational, cognitive, and institutional—rather than predetermined solutions. The framework operates across three levels: at the macro-level, sustainability trajectories are framed as attractor landscapes; at the meso-level, adaptive spaces enable experimentation beyond dominant institutional constraints; and at the micro-level, self-organizing collective agency drives transformative action. Central generative mechanisms, particularly sensemaking and sensegiving, facilitate the imagination of emergent opportunities, navigation of uncertainty, and mobilization of collective responses.