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Economics Of Detection And Control Of Invasive Species: Workshop Highlights

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  • Koo, Won W.
  • Mattson, Jeremy W.

Abstract

Invasive species are species that are not native to an ecosystem, and when introduced into the new ecosystem, they cause economic or environmental damage. Trade is one way in which these species are introduced into new regions, and as trade increases, the introduction of invasive species also rises. The Center for Agricultural Policy and Trade Studies, North Dakota State University, held a workshop on April 30, 2004 in Fargo, ND, titled ?Economics of Detection and Control of Invasive Species? to address these issues. The purpose of this workshop was to present current findings on the subject of invasive species in agricultural trade and to structure the model for an in-depth research project examining this issue. Speakers included experts from the Animal Plant Health Inspection Service and the Economic Research Service of the U.S. Department of Agriculture and from U.S. Customs and Border Patrol, as well as professors of economics from North Dakota State University and other academic institutions. Discussion included the impact of invasive species on agricultural production and trade, the tools used by the U.S. Department of Agriculture and U.S. Customs and Border patrol to detect and control incoming species, and the creation of econometric models to capture and explain these processes and to analyze policy issues. This report contains abstracts from the presentations given at the workshop.

Suggested Citation

  • Koo, Won W. & Mattson, Jeremy W., 2004. "Economics Of Detection And Control Of Invasive Species: Workshop Highlights," Special Reports 23068, North Dakota State University, Center for Agricultural Policy and Trade Studies.
  • Handle: RePEc:ags:ndapsr:23068
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    File URL: http://purl.umn.edu/23068
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    References listed on IDEAS

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    1. Richard D. Horan & Charles Perrings & Frank Lupi & Erwin H. Bulte, 2002. "Biological Pollution Prevention Strategies under Ignorance:The Case of Invasive Species," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 84(5), pages 1303-1310.
    2. William T. Alpert & Stephen A. Woodbury, 2000. "Introduction," Book chapters authored by Upjohn Institute researchers,in: William T. Alpert & Stephen A. Woodbury (ed.), Employee Benefits and Labor Markets in Canada and the United States, chapter 1, pages 1-12 W.E. Upjohn Institute for Employment Research.
    3. Batabyal, Amitrajeet A., 1995. "The Queuing Theoretic Approach to Groundwater Management," Working Papers 9514, Utah State University, Department of Economics.
    4. Mark E. Eiswerth & G. Cornelis van Kooten, 2002. "Uncertainty, Economics, and the Spread of an Invasive Plant Species," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 84(5), pages 1317-1322.
    5. Batabyal, Amitrajeet A. & Beladi, Hamid, 2006. "International trade and biological invasions: A queuing theoretic analysis of the prevention problem," European Journal of Operational Research, Elsevier, vol. 170(3), pages 758-770, May.
    6. Leitch, Jay A. & Leistritz, F. Larry & Bangsund, Dean A., 1994. "Economic Effect of Leafy Spurge in the Upper Great Plains: Methods, Models, and Results," Agricultural Economics Reports 23196, North Dakota State University, Department of Agribusiness and Applied Economics.
    7. Albert Breton & Giorgio Brosio & Silvana Dalmazzone & Giovanna Garrone, 2009. "Introduction," Chapters,in: Governing the Environment, chapter 1 Edward Elgar Publishing.
    8. Lars J. Olson & Santanu Roy, 2002. "The Economics of Controlling a Stochastic Biological Invasion," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 84(5), pages 1311-1316.
    9. Mark Eiswerth & Wayne Johnson, 2002. "Managing Nonindigenous Invasive Species: Insights from Dynamic Analysis," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 23(3), pages 319-342, November.
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    Resource /Energy Economics and Policy;

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