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From fragmentation to collaboration: a study on collaborative governance of marine microplastic pollution in the Fujian-Taiwan region

Frontiers in Marine Science 2026
Bin Chen

Summary

Microplastic pollution in ocean waters near China and Taiwan is a shared problem, but the two governments have very different approaches to environmental rules, which has made it hard to tackle the issue together. This study proposes a step-by-step framework for getting both sides to collaborate despite their political differences—an important piece of the puzzle since microplastics in seawater can end up in the seafood we eat and have been linked to potential health concerns still being studied. While this paper focuses on policy solutions rather than health effects directly, better cross-border cooperation could mean cleaner oceans and safer seafood for everyone in the region.

Marine microplastic pollution in the Fujian–Taiwan region exhibits typical transregional negative externalities. Through contextual adaptation of the SFIC model, this study reveals that the root cause of the “governance lock-in” in addressing microplastic pollution across the Fujian–Taiwan area lies in the paradigmatic divergence between the “state-embedded administrative dominance” in mainland Fujian and the “society-participatory technical regulation” in Taiwan. This divergence has led to institutional, cognitive, and implementation barriers. Accordingly, a collaborative mechanism has been constructed, integrating “identification of initial factor constraints – construction of a tripartite catalytic leadership network – design of incentive-compatible institutions – evolution of a spiral collaborative process.” This mechanism not only provides a gradual and feasible practical pathway for marine microplastic governance in the Fujian–Taiwan region but also theoretically extends the explanatory power and application flexibility of collaborative governance models in cross-border contexts characterized by high political sensitivity and institutional heterogeneity.

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