Policy diffusion in global biodiversity conservation: Learning, competition, coercion, and emulation amid US–China great‐power politics

Coordinated policies and effective global environmental governance are needed to address the global biodiversity crisis. Human dimensions like geopolitics influence conservation decision-making and outcomes. The importance of considering these complex social factors is heightened in an era of renewed great-power politics, as the intensifying US–China rivalry has direct implications for environmental governance and biodiversity outcomes. Can the US–China rivalry and its confrontational dynamics be channeled into conservation policymaking to improve biodiversity outcomes? Drawing from international relations and policy studies, policy diffusion theory can provide conservationists with useful insights into the interdependency of policy decisions. Here, we examine the four mechanisms—competition, coercion, learning, and emulation—of the classic model of policy diffusion theory in the context of environmental policymaking. We explore a case study for each mechanism to illustrate how it can benefit biodiversity conservation, and point to examples of relevant policies and actions that could improve outcomes. To operationalize this concept for conservation, we present a decision tree that conservationists can use to determine the most relevant policy diffusion mechanism in different policy contexts. Upon determining the appropriate mechanism, conservationists can take further steps to intentionally trigger the mechanism and catalyze conservation policy diffusion across jurisdictions.