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Related Experiment Video

Updated: May 22, 2026

Scalable Step-by-Step Approach of Sustainable Bioplastic Production from Food Waste

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Published on: July 18, 2025

Seeing the forest for the plastic trees: a model-driven visualisation framework for material flow analysis.

Fiona Preston-Whyte¹, Stephanie Lavelle¹, Thomas Maes²

¹GRID-Arendal, Teaterplassen 3, 4836 Arendal, Norway.

Waste Management (New York, N.Y.)

|May 20, 2026

Summary

This summary is machine-generated.

This study developed a baseline Material Flow Analysis (MFA) for six countries, showing moderate data availability for plastic pollution monitoring. Existing data can inform policy and track mitigation efforts, even in data-scarce regions.

Keywords:

Africa Baseline assessment Global plastics treaty Life cycle Pollution

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Area of Science:

Environmental Science
Data Science
Policy Analysis

Background:

Plastic pollution reduction necessitates reliable data for effective policy, mitigation, and monitoring.
Existing plastic and waste data are fragmented globally and nationally, hindering comprehensive analysis.
Municipal solid waste (MSW) systems and plastic lifecycles require integrated data for assessment.

Purpose of the Study:

To consolidate fragmented data into a national-level baseline Material Flow Analysis (MFA) for six case-study countries.
To introduce an Indicator Development Stage (IDS) Model for assessing and comparing data availability across nations.
To establish a visual framework for a system-level analysis of the plastic lifecycle, even in data-scarce contexts.

Main Methods:

Conducted a Material Flow Analysis (MFA) integrating data across the plastics lifecycle and municipal solid waste (MSW) systems.
Developed and applied a comparative Indicator Development Stage (IDS) Model to benchmark data availability.
Analyzed data availability for six case-study countries: Cabo Verde, Guinea-Bissau, São Tomé and Príncipe, Senegal, Sierra Leone, and Sri Lanka.

Main Results:

Six case-study countries achieved comparable overall data availability scores (59-67%), indicating moderate readiness for policy monitoring.
While core indicators were sometimes missing, overall data sufficiency allows for establishing a robust baseline.
The study demonstrated the feasibility of creating a system-level plastic lifecycle analysis despite data fragmentation and lack of harmonized methodologies.

Conclusions:

Existing data, though fragmented, are sufficient to establish a baseline for tracking plastic pollution mitigation and data improvement.
The developed MFA and IDS Model provide a visual framework for system-level analysis in data-scarce regions.
This approach supports evidence-based policymaking and monitoring for reducing plastic pollution globally.