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Fish and Fisheries
Article . 2026 . Peer-reviewed
License: Wiley Online Library User Agreement
Data sources: Crossref
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Crossing the River by Feeling the Stones: Institutional Lessons From China's Total Allowable Catch Pilots

Authors: Shu Su; Shiyu Zhang; Yi Tang; Yanxuedan Zhang; Chao Ma; Michael De Alessi; Yong Chen;

Crossing the River by Feeling the Stones: Institutional Lessons From China's Total Allowable Catch Pilots

Abstract

ABSTRACT This study critically examines China's experimentation with Total Allowable Catches (TACs) as a central element of its evolving fisheries management system. Based on policy review, cross‐case analysis of 32 pilot programs, expert surveys, and stakeholder interviews, we trace how political commitment, institutional trials, and stakeholder engagement have shaped TAC implementation since 2017. The pilots showed that TACs can be made workable in a data‐limited, effort‐based regime. This was achieved by decentralising program design, using Special Fishing Permits to define fishery units, embedding quotas within the seasonal moratorium, testing allocation methods, and introducing basic monitoring systems. These arrangements facilitated compliance and institutional learning, although measurable ecological outcomes remain uncertain due to persistent data limitations. Our findings suggest that pilots can serve as transitional vehicles toward science‐based and rights‐based management, but only if their lessons are institutionalised through law, policy, and practice. We highlight that without clear graduation pathways—anchored in three mutually reinforcing pillars of science‐based decision‐making, integrated monitoring and compliance systems, and rights‐ and incentive‐based governance—China risks locking in administratively convenient but ecologically limited practices. For other developing countries, China's experience shows that pilot strategies can reduce early risks and build capacity when linked to institutional consolidation and long‐term governance reform.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
1
Top 10%
Average
Average
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