GeoJournal

, Volume 78, Issue 4, pp 591–599

Modeling policy and agricultural decisions in Afghanistan

  • Michael J. Widener
  • Yavni Bar-Yam
  • Andreas Gros
  • Sara S. Metcalf
  • Yaneer Bar-Yam
Article

Abstract

Afghanistan is responsible for the majority of the world’s supply of poppy crops, which are often used to produce illegal narcotics like heroin. This paper presents an agent-based model that simulates policy scenarios to characterize how the production of poppy can be dampened and replaced with licit crops over time. The model is initialized with spatial data, including transportation network and satellite-derived land use data. Parameters representing national subsidies, insurgent influence, and trafficking blockades are varied to represent different conditions that might encourage or discourage poppy agriculture. Our model shows that boundary-level interventions, such as targeted trafficking blockades at border locations, are critical in reducing the attractiveness of growing this illicit crop. The principle of least effort implies that interventions decrease to a minimal non-regressive point, leading to the prediction that increases in insurgency or other changes are likely to lead to worsening conditions, and improvements require substantial jumps in intervention resources.

Keywords

Afghanistan Agent-based model Agriculture Poppy 

Copyright information

© Springer Science+Business Media B.V. 2012

Authors and Affiliations

  • Michael J. Widener
    • 1
    • 2
  • Yavni Bar-Yam
    • 2
  • Andreas Gros
    • 2
  • Sara S. Metcalf
    • 1
  • Yaneer Bar-Yam
    • 2
  1. 1.Department of GeographyUniversity at BuffaloBuffaloUSA
  2. 2.New England Complex Systems InstituteCambridgeUSA

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