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Permanent record · RIR–2054

Evaluating Economic Viability of Non-Commodity Seed Systems for Small-Scale Sustainable Agricultural Producers

This study examines the tension between commodity seed reliance and the preservation of non-commodity values in US farmer seed systems. It advocates for supporting alternative structures that protect seed diversity and social equity.

Open to researchMBA suitableQualified 79/100P4 provenance
Primary research question

What economic and social mechanisms best support the scaling of non-commodity seed systems among small-scale farmers?

Knowledge gap

What remains worth asking

It remains useful to test the scalability of non-commodity seed exchange models within existing market-dominated agricultural frameworks.

Potential contribution

Why it may matter

Developing resilient seed systems is critical for long-term agricultural sustainability and food sovereignty.

Academic placement

OECD fields and topic tags

Agricultural EconomicsSociology of AgricultureInnovation Studies

Scope: Small-scale and diversified farming operations in the United States. · Method signals: Qualitative interviews, Economic case study analysis, Policy analysis

Possible study pathways

One question, different levels

Professional master’s / MBA

Sustainable food systems management

Doctoral

Agricultural sociology and food policy

originalityModerate
methodologyAccessible
Data accessModerate
ethicsAccessible

Qualification signal

79/100

  • Focus on the intersection of market and non-market exchanges.
  • Consider the role of regional seed hubs.
  • Open-access scholarly source and DOI metadata verified

Provenance

Research Idea Registry 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

Isbell, C., Tobin, D., Mares, T., & Jones, K. (2024). Seed commodification and contestation in US farmer seed systems. Renewable Agriculture and Food Systems, 39, Article e26. https://doi.org/10.1017/s174217052400019x

Paper abstract and discussion context; AI-inferred direction

Open source ↗