Permanent record
RIR-2060 · Logged 13 July 2026
Establishing Cooperative Risk-Sharing Mechanisms for Sustainable Deep-Sea Aquaculture Development and Growth
Deep-sea aquaculture offers a solution to the saturation of coastal fisheries but faces significant economic and risk-related barriers. This research analyzes how cooperative mechanisms between enterprises and service organizations can optimize risk-sharing and promote industry maturity.
In plain words
Fish farming far out at sea could take pressure off crowded coastal fisheries, but it is costly and risky. Which ways of sharing risk between companies and support organisations would help this industry grow without relying on government?
Primary research question
What cooperative risk-sharing mechanisms are most effective for promoting the sustainable development of deep-sea aquaculture?
Knowledge gap
What remains worth asking
The source suggests that government intervention is insufficient; it remains useful to test how market-based cooperative mechanisms can manage the risk-cost-profit threshold.
Potential contribution
Why it may matter
This study provides a roadmap for transitioning deep-sea aquaculture from a government-led initiative to a self-sustaining market industry.
Academic placement
Academic fields and topic tags
Study frame: Global aquaculture industry and maritime business development. · Method signals: Evolutionary game modeling, Stakeholder analysis
Possible study pathways
One question, different levels
Professional master’s / MBA
Strategic management of sustainable aquaculture ventures.
Doctoral
Game theory applications in sustainable resource governance.
- originality
- Moderate
- methodology
- Advanced
- Data access
- Moderate
- ethics
- Accessible
Quality and audit
84/100 quality
Safeguard-based audit was not recorded under the prior standard.
- Focus on economic modeling and business strategy.
- Applicable to MBA and Economics students.
- Open-access scholarly source and DOI metadata verified
This older record can be checked against the current standard on request. It changes only if every academic gate and independent safeguard passes.
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Research Idea curation
- DOI and bibliographic metadata independently resolved
- Open-access status verified
- The research direction is transparently marked as AI-inferred
The public contributor code contains no name or account email.
APA 7 source
Ma, Y., & Zhang, Y. (2025). Ensuring a sustainable supply of aquatic products in the future: research on the promotion and application of deep-sea aquaculture. Frontiers in Nutrition, 12, Article 1643753. https://doi.org/10.3389/fnut.2025.1643753
Paper abstract and discussion context; AI-inferred direction
This is an AI-inferred direction. The source authors did not state it as a recommendation.
Open source ↗