Data for Filling the Cellulosic Bio-Economy Gap by Utilizing a Wedge Approach Combined with Stakeholder Collaboration

Themes: Sustainability

Keywords: Economics, Modeling

Citation

Yang P. and Cai, X., Feb. 11, 2026. Data from: “Filling the Cellulosic Bio-economy Gap by Utilizing a Wedge Approach Combined with Stakeholder Collaboration.” GitHub.

Overview

Effects of various policy portfolios on watershed energy grass adoption and biorefinery investment decisions, simulated by models developed with and without stakeholder collaboration.

BioEconomy Community Communication Tool, an Agent-Based Model (BECT-ABM). This is the python ABM code for corresponding publications.

Prerequisites:

  • biorefineries
  • mortgage
  • scipy
  • geopandas
  • cv2

To run the model, please update your pathes at files ‘parameters.py’, ‘visulization_new.py’, ‘agents.py’, and ‘gen_agents.py’ Use ‘main.py’ to run the model. The model parameters could be tuned in ‘main.py’.

For more details on the model, refer to ‘ABM_code_documentation.docx’.

Data

GitHub: Python ABM code

Illinois Data Bank: Model simulation scenarios, policy scenario stats, survey variables, farmer type characteristics, biofacility stats

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