Published October 2, 2026 | Version v2

Underlying Empirical Survey Microdata and Dynamic Mass-Flow Datasets for Sustainable Apple Pomace Reverse Logistics in South Korea

Authors/Creators

  • 1. Gyeongsangbuk-do Provincial Agricultural Research & Extension Services

Description

This dataset contains curated, anonymized empirical survey microdata and dynamic mass-flow parameters collected from 59 commercial apple processing facilities across South Korea. All personal and enterprise identifying details have been permanently removed to ensure confidentiality. These data support the research findings on apple pomace reverse supply chain management and valorization.

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