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The policy for achieving economic growth through an agrarian-based low-carbon bioeconomy (BE) systems is well formulated in the Global South. BE is a new economy that is defined and based on the interdependence of PUC of bio-based resources. However, teamwork, job creation, and data framework required for monitoring such a transition remain unclear. This chapter reviews official documents to identify and gain insights into the Global South’s BE policy and actions. It aims to propose a data framework (DF) as a guiding principle for teams and users to explore alternative bio-based options for transition. The DF is based on the Plan-Do-Study-Act (PDSA) and Decision Support Systems (DSS) approaches to promote partnerships between actors. The combined PDSA methodology and DSS approach are also unique in their inclusive structure, process, and culture for understanding the PUC interdependence of bio-based resources. We trust that the DF can be upscaled to harmonize diverse experiences and expertise for the benefit of people to adapt to a changing environment of our planet.

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A Data Framework for Monitoring Bioeconomy Transition: A Combined PDSA Methodology and DSS Approach

  • 章节

  • 发表日期：

    2025年

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  • Benjamas Kumsueb,
  • Chitnucha Buddhaboon,
  • Bounthanh Keobualapha,
  • Siviengkhek Phommalath,
  • Zhiyuan Wang,
  • Wolfram Spreer,
  • Attachai Jintrawet

摘要

The policy for achieving economic growth through an agrarian-based low-carbon bioeconomy (BE) systems is well formulated in the Global South. BE is a new economy that is defined and based on the interdependence of PUC of bio-based resources. However, teamwork, job creation, and data framework required for monitoring such a transition remain unclear. This chapter reviews official documents to identify and gain insights into the Global South’s BE policy and actions. It aims to propose a data framework (DF) as a guiding principle for teams and users to explore alternative bio-based options for transition. The DF is based on the Plan-Do-Study-Act (PDSA) and Decision Support Systems (DSS) approaches to promote partnerships between actors. The combined PDSA methodology and DSS approach are also unique in their inclusive structure, process, and culture for understanding the PUC interdependence of bio-based resources. We trust that the DF can be upscaled to harmonize diverse experiences and expertise for the benefit of people to adapt to a changing environment of our planet.