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Simulation of a Swiss wood fuel and roundwood market: An explorative study in agent-based modeling

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  • Kostadinov, Fabian
  • Holm, Stefan
  • Steubing, Bernhard
  • Thees, Oliver
  • Lemm, Renato

Abstract

This study discusses the potential of applying agent-based modeling (ABM) to wood markets. A corresponding model of the wood market of a Swiss canton, consisting of a coupled roundwood and wood fuel market, is presented. The model includes wood-producing agents, such as public foresters and private forest owners, roundwood-consuming agents, such as sawmills, different classes of wood fuel consumers, and in-between wood traders. Other important model elements include agent interaction and negotiation, execution and scheduling structures, and agent adaptation mechanisms. Two sets of scenarios demonstrate the model's power for scenario exploration. The first set of scenarios analyzes the effects of an excess and scarce supply of wood on both markets. The second set looks for the optimal number of roundwood agents in the market from the perspective of the various stakeholders involved. Taking a more in-depth view of important design decisions and their pros and cons, this study argues that ABM offers new opportunities for the explorative study of wood markets as a result of these markets' special characteristics.

Suggested Citation

  • Kostadinov, Fabian & Holm, Stefan & Steubing, Bernhard & Thees, Oliver & Lemm, Renato, 2014. "Simulation of a Swiss wood fuel and roundwood market: An explorative study in agent-based modeling," Forest Policy and Economics, Elsevier, vol. 38(C), pages 105-118.
    • Handle: RePEc:eee:forpol:v:38:y:2014:i:c:p:105-118
    DOI: 10.1016/j.forpol.2013.08.001
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    2. Borzykowski, Nicolas, 2019. "A supply-demand modeling of the Swiss roundwood market: Actors responsiveness and CO2 implications," Forest Policy and Economics, Elsevier, vol. 102(C), pages 100-113.
    3. van Tol, M.C.M. & Moncada, J.A. & Lukszo, Z. & Weijnen, M., 2021. "Modelling the interaction between policies and international trade flows for liquid biofuels: an agent-based modelling approach," Energy Policy, Elsevier, vol. 149(C).
    4. Scheller, Fabian & Johanning, Simon & Bruckner, Thomas, 2019. "A review of designing empirically grounded agent-based models of innovation diffusion: Development process, conceptual foundation and research agenda," Contributions of the Institute for Infrastructure and Resources Management 01/2019, University of Leipzig, Institute for Infrastructure and Resources Management.
    5. Borzykowski, Nicolas, 2017. "The Swiss market for construction wood : estimating elasticities with time series simultaneous equations," 91st Annual Conference, April 24-26, 2017, Royal Dublin Society, Dublin, Ireland 258659, Agricultural Economics Society.
    6. Holm, Stefan & Thees, Oliver & Lemm, Renato & Olschewski, Roland & Hilty, Lorenz M., 2018. "An agent-based model of wood markets: Scenario analysis," Forest Policy and Economics, Elsevier, vol. 95(C), pages 26-36.

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