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May 16, 2026AgricultureOpen Access

Structural Determinants of Organic Farm Persistence: Evidence from Hungary Using Combined Machine Learning and Statistical Models

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Authors

PJPéter JobbágyResearch Institute of Organic AgricultureKSKatalin Allacherné SzépkuthyResearch Institute of Organic AgricultureGKGyöngyi Györéné KisResearch Institute of Organic Agriculture

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Implication

Randomized trial identifies structural factors influencing organic farm persistence in Hungary, suggesting tailored policy measures.

Key Points

  • The study aims to identify factors that affect the persistence of organic farms in Hungary.
  • Analyzed farm-level data from 2020 to 2023.
  • Utilized logistic regression, decision trees, and random forest algorithms for modeling.
  • Examined the impact of economic, structural, and regional variables on farm survival.
  • Organic farm persistence is mainly influenced by farm size, economic scale, and degree of conversion.
  • Structural characteristics outweigh the impact of production specialization and organizational features.
  • Findings suggest that tailored policy measures should be implemented to support the organic sector effectively.

Cite This Study

Jobbágy et al. (2026) studied this question.

synapsesocial.com/papers/6a080a29a487c87a6a40c065https://doi.org/10.3390/agriculture16101074
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