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An Agent‐Based Model of Border Enforcement for Invasive Species Management

Author

Listed:
  • Holly A. Ameden
  • Peter C. Boxall
  • Sean B. Cash
  • D. Angele Vickers
Abstract
This paper presents a model of border enforcement in order to address trade‐related invasive species risk. An agent‐based modeling (ABM) framework was developed based on a theoretical economic model that incorporates a spatially explicit damage function. The framework was applied to a representative commodity (broccoli), invasive species (crucifer flea beetle), ports‐of‐entry (Calexico and Otay Mesa U.S./Mexico land ports), and vulnerable location (California). The ABM evaluated the economic impacts of port‐specific and importer‐specific enforcement regimes, enabling regulators to improve both the allocation of scarce enforcement resources and the effectiveness of current enforcement policies. The analysis generated several policy relevant findings concerning importing firm behavior and suggests conditions under which increasing enforcement may or may not significantly reduce invasive species risk and associated crop damages. The analysis illustrates that with a more realistic parameterization, the ABM could be used to make real‐world policy decisions concerning allocation of limited resources across ports‐of‐entry. Dans le présent article, nous présentons un modèle de renforcement des frontières pour examiner le risque d'introduction d'espèces envahissantes par le biais d'échanges commerciaux. Nous avons élaboré un modèle multiagent fondé sur un modèle économique théorique qui intègre une fonction de dommage spatiale. Nous avons appliqué ce modèle à une denrée représentative (le brocoli), à une espèce envahissante (l'altise des crucifères), à des points d'entrée (les points d'entrée terrestre de Calexico et d'Otay Mesa à la frontière des États−Unis et du Mexique) et à un endroit vulnérable (la Californie). Le modèle multiagent a évalué les répercussions économiques des régimes de renforcement spécifiques à un point d'entrée et à un importateur, permettant aux organismes de réglementation d'améliorer à la fois l'allocation des ressources de renforcement qui sont rares et l'efficacité des politiques de renforcement actuelles. L'analyse a généré plusieurs résultats quant aux politiques concernant le comportement des entreprises importatrices et indique des conditions dans lesquelles l'accroissement du renforcement pourrait diminuer considérablement ou pas le risque d'introduction d'espèces envahissantes pouvant causer des dommages aux cultures. L'analyse a montré que, à l'aide d'une paramétrisation plus réaliste, le modèle multiagent pourrait être utilisé pour prendre des décisions stratégiques du monde réel quant à l'allocation des ressources limitées dans les points d'entrée.

Suggested Citation

  • Holly A. Ameden & Peter C. Boxall & Sean B. Cash & D. Angele Vickers, 2009. "An Agent‐Based Model of Border Enforcement for Invasive Species Management," Canadian Journal of Agricultural Economics/Revue canadienne d'agroeconomie, Canadian Agricultural Economics Society/Societe canadienne d'agroeconomie, vol. 57(4), pages 481-496, December.
    • Handle: RePEc:bla:canjag:v:57:y:2009:i:4:p:481-496
    DOI: 10.1111/j.1744-7976.2009.01166.x
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    References listed on IDEAS

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    1. Ameden, Holly A. & Cash, Sean B. & Zilberman, David, 2007. "Border Enforcement and Firm Response in the Management of Invasive Species," Journal of Agricultural and Applied Economics, Southern Agricultural Economics Association, vol. 39(Special), pages 1-12, October.
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    Cited by:

    1. Springborn, Michael R. & Lindsay, Amanda R. & Epanchin-Niell, Rebecca S., 2016. "Harnessing enforcement leverage at the border to minimize biological risk from international live species trade," Journal of Economic Behavior & Organization, Elsevier, vol. 132(PB), pages 98-112.
    2. Ferrier, Peyton, 2014. "The Effects of Phytosanitary Regulations on U.S. Imports of Fresh Fruits and Vegetables," Economic Research Report 176199, United States Department of Agriculture, Economic Research Service.
    3. James Nolan & Dawn Parker & G. Cornelis Van Kooten & Thomas Berger, 2009. "An Overview of Computational Modeling in Agricultural and Resource Economics," Canadian Journal of Agricultural Economics/Revue canadienne d'agroeconomie, Canadian Agricultural Economics Society/Societe canadienne d'agroeconomie, vol. 57(4), pages 417-429, December.
    4. Holderieath, Jason, 2016. "Spatiotemporal management under heterogeneous damage and uncertain parameters. An agent-based approach," 2016 Annual Meeting, July 31-August 2, Boston, Massachusetts 235850, Agricultural and Applied Economics Association.

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