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Maritime Trade, Biological Invasions, and the Properties of Alternate Inspection Regimes

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  • Amit Batabyal

    ()

  • Hamid Beladi

    ()

  • Won Koo

    ()

Abstract

We analyze the problem of preventing biological invasions caused by ships transporting internationally traded goods between countries and continents. Specifically, we ask the following question: Should a port manager have a small number of inspectors inspect arriving ships less stringently or should this manager have a large number of inspectors inspect the same ships more stringently? We use a simple queuing-theoretic framework and show that if decreasing the economic cost of regulation is very important then it makes more sense for the port manager to choose the less stringent inspection regime. In contrast, if reducing the damage from biological invasions is more salient then the port manager ought to pick the more stringent inspection regime.

Suggested Citation

  • Amit Batabyal & Hamid Beladi & Won Koo, 2005. "Maritime Trade, Biological Invasions, and the Properties of Alternate Inspection Regimes," ERSA conference papers ersa05p164, European Regional Science Association.
  • Handle: RePEc:wiw:wiwrsa:ersa05p164
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    File URL: http://www-sre.wu.ac.at/ersa/ersaconfs/ersa05/papers/164.pdf
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    References listed on IDEAS

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    1. 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, pages 758-770.
    2. 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.
    3. Mark Eiswerth & Wayne Johnson, 2002. "Managing Nonindigenous Invasive Species: Insights from Dynamic Analysis," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, pages 319-342.
    4. Barbier, Edward B., 2001. "A note on the economics of biological invasions," Ecological Economics, Elsevier, vol. 39(2), pages 197-202, November.
    5. Chad Settle & Jason E Shogren, 2002. "Modeling Native-Exotic Species within Yellowstone Lake," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 84(5), pages 1323-1328.
    6. 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.
    7. Albert Breton & Giorgio Brosio & Silvana Dalmazzone & Giovanna Garrone, 2009. "Introduction," Chapters,in: Governing the Environment, chapter 1 Edward Elgar Publishing.
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    Cited by:

    1. Batabyal, Amitrajeet A. & Beladi, Hamid, 2009. "Trade, the damage from alien species, and the effects of protectionism under alternate market structures," Journal of Economic Behavior & Organization, Elsevier, pages 389-401.
    2. An-Sing Chen & Hui-Jyuan Gao & Mark Leung, "undated". "Is Trading Imbalance a Better Explanatory Factor in the Volatility Process? Intraday and Daily Evidence from E-mini S&P 500 Index Futures and Information-Based Hypotheses," Working Papers 0039, College of Business, University of Texas at San Antonio.
    3. Batabyal, Amitrajeet & Beladi, Hamid, 2013. "Ship inspections in invasive species management: Alternate regimes and their properties," MPRA Paper 72269, University Library of Munich, Germany.
    4. Surkov, Ilya V. & Oude Lansink, Alfons G.J.M. & van Kooten, Olaf, 2006. "An empirical model of optimal import phytosanitary inspection," 2006 Annual meeting, July 23-26, Long Beach, CA 21253, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    5. Amit Batabyal & Peter Nijkamp, 2005. "On Container Versus Time Based Inspection Policies in Invasive Species Management," ERSA conference papers ersa05p162, European Regional Science Association.

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