IDEAS home Printed from https://ideas.repec.org/p/ags/wisagr/12684.html
   My bibliography  Save this paper

A Dynamic Principal-Agent Model of Human-Mediated Aquatic Species Invasions

Author

Listed:
  • Moore, Rebecca
  • MacPherson, Alexander J.
  • Provencher, Bill

Abstract

This paper presents an integrated ecological and economic model of aquatic plant species invasions in which resource users are the primary vector of species colonization. A random utility model of boater behavior is combined with ecological information about the invader and the landscape to form a dynamic principal-agent model in which the principal is a manager concerned with the interseasonal spread of invasive species across lakes, and agents are recreational boaters making a series of intraseasonal trip decisions to maximize random utility during the course of the season. Agent behavior is sensitive to both the degradation of environmental quality on colonized lakes and the actions taken by resource managers to control the spread of the invasive species. As such, this paper represents the first attempt in the literature to endogenize resource user behavior in the management of a species invasion, allowing us to appreciate the full impact of different policy scenarios. The results of a simple, simulated case study of an Eurasian watermilfoil (myriophyllum spicatum) invasion of a hypothetical system of four lakes are presented. These results highlight some interesting aspects of the optimal management policies under two different management objectives: maximizing welfare and minimizing milfoil spread. The size of the problem is a significant obstacle to a "real world" application. Recent advancements in both random utility modeling and dynamic programming simulation models could considerably ease these constraints.

Suggested Citation

  • Moore, Rebecca & MacPherson, Alexander J. & Provencher, Bill, 2005. "A Dynamic Principal-Agent Model of Human-Mediated Aquatic Species Invasions," Staff Papers 12684, University of Wisconsin-Madison, Department of Agricultural and Applied Economics.
  • Handle: RePEc:ags:wisagr:12684
    DOI: 10.22004/ag.econ.12684
    as

    Download full text from publisher

    File URL: https://ageconsearch.umn.edu/record/12684/files/stpap485.pdf
    Download Restriction: no

    File URL: https://libkey.io/10.22004/ag.econ.12684?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. Robert L. Hicks & Ivar E. Strand, 2000. "The Extent of Information: Its Relevance for Random Utility Models," Land Economics, University of Wisconsin Press, vol. 76(3), pages 374-385.
    2. Feather Peter & Hellerstein Daniel & Tomasi Theodore, 1995. "A Discrete-Count Model of Recreational Demand," Journal of Environmental Economics and Management, Elsevier, vol. 29(2), pages 214-227, September.
    3. Peter M. Feather, 1994. "Sampling and Aggregation Issues in Random Utility Model Estimation," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 76(4), pages 772-780.
    4. Haab, Timothy C. & Hicks, Robert L., 1997. "Accounting for Choice Set Endogeneity in Random Utility Models of Recreation Demand," Journal of Environmental Economics and Management, Elsevier, vol. 34(2), pages 127-147, October.
    5. Richard T. Woodward & Yong-Suhk Wui & Wade L. Griffin, 2005. "Living with the Curse of Dimensionality: Closed-Loop Optimization in a Large-Scale Fisheries Simulation Model," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 87(1), pages 48-60.
    6. George R. Parsons & Mary Jo Kealy, 1992. "Randomly Drawn Opportunity Sets in a Random Utility Model of Lake Recreation," Land Economics, University of Wisconsin Press, vol. 68(1), pages 93-106.
    7. George R. Parsons & Michael S. Needelman, 1992. "Site Aggregation in a Random Utility Model of Recreation," Land Economics, University of Wisconsin Press, vol. 68(4), pages 418-433.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. MacPherson, Alexander J. & Moore, Rebecca & Provencher, Bill, 2006. "A Dynamic Principal-Agent Model of Human-Mediated Aquatic Species Invasions," Agricultural and Resource Economics Review, Northeastern Agricultural and Resource Economics Association, vol. 35(1), pages 1-11, April.
    2. Moore, Rebecca & Macpherson, Alex & Provencher, Bill, 2005. "A Dynamic Principal-Agent Model of Human-Mediated Aquatic Species Invasions," Staff Paper Series 485, University of Wisconsin, Agricultural and Applied Economics.
    3. Phaneuf, Daniel J. & Smith, V. Kerry, 2006. "Recreation Demand Models," Handbook of Environmental Economics, in: K. G. Mäler & J. R. Vincent (ed.), Handbook of Environmental Economics, edition 1, volume 2, chapter 15, pages 671-761, Elsevier.
    4. Hicks, Robert L. & Holland, Daniel S. & Kuriyama, Peter T. & Schnier, Kurt E., 2020. "Choice sets for spatial discrete choice models in data rich environments," Resource and Energy Economics, Elsevier, vol. 60(C).
    5. Stafford, Tess M., 2018. "Accounting for outside options in discrete choice models: An application to commercial fishing effort," Journal of Environmental Economics and Management, Elsevier, vol. 88(C), pages 159-179.
    6. Backstrom, Jesse D. & Woodward, Richard T., 2017. "Using Qualitative Site Characteristics Data in Marine Recreational Fishing Models: A New Site Aggregation Approach," 2017 Annual Meeting, July 30-August 1, Chicago, Illinois 258276, Agricultural and Applied Economics Association.
    7. Agimass, Fitalew & Lundhede, Thomas & Panduro, Toke Emil & Jacobsen, Jette Bredahl, 2018. "The choice of forest site for recreation: A revealed preference analysis using spatial data," Ecosystem Services, Elsevier, vol. 31(PC), pages 445-454.
    8. Lupi, Frank & Feather, Peter M., 1997. "Using Partial Site Aggregation to Reduce Bias in Random Utility Travel Cost Models," Staff Paper Series 201220, Michigan State University, Department of Agricultural, Food, and Resource Economics.
    9. Tudor, Lynne G. & Besedin, Elena Y. & Fisher, Michael & Smith, Stuart, 1999. "Economic Analysis Of Environmental Regulations: Application Of The Random Utility Model To Recreational Benefit Assessment For The Mp&M Effluent Guideline," 1999 Annual meeting, August 8-11, Nashville, TN 21630, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    10. Daniel J. Phaneuf & Catherine L. Kling & Joseph A. Herriges, 2000. "Estimation and Welfare Calculations in a Generalized Corner Solution Model with an Application to Recreation Demand," The Review of Economics and Statistics, MIT Press, vol. 82(1), pages 83-92, February.
    11. Richard T. Melstrom & Deshamithra H. W. Jayasekera, 2017. "Two-Stage Estimation to Control for Unobservables in a Recreation Demand Model with Unvisited Sites," Land Economics, University of Wisconsin Press, vol. 93(2), pages 328-341.
    12. von Haefen, Roger H. & Domanski, Adam, 2018. "Estimation and welfare analysis from mixed logit models with large choice sets," Journal of Environmental Economics and Management, Elsevier, vol. 90(C), pages 101-118.
    13. Hicks, Robert L. & Schnier, Kurt E., 2010. "Spatial regulations and endogenous consideration sets in fisheries," Resource and Energy Economics, Elsevier, vol. 32(2), pages 117-134, April.
    14. Thiene, Mara & Swait, Joffre & Scarpa, Riccardo, 2017. "Choice set formation for outdoor destinations: The role of motivations and preference discrimination in site selection for the management of public expenditures on protected areas," Journal of Environmental Economics and Management, Elsevier, vol. 81(C), pages 152-173.
    15. Li, Lianhua & Adamowicz, Wiktor & Swait, Joffre, 2015. "The effect of choice set misspecification on welfare measures in random utility models," Resource and Energy Economics, Elsevier, vol. 42(C), pages 71-92.
    16. Jara-Díaz, Sergio & Rosales-Salas, Jorge, 2017. "Beyond transport time: A review of time use modeling," Transportation Research Part A: Policy and Practice, Elsevier, vol. 97(C), pages 209-230.
    17. Domanski, Adam, 2009. "Estimating Mixed Logit Recreation Demand Models With Large Choice Sets," 2009 Annual Meeting, July 26-28, 2009, Milwaukee, Wisconsin 49413, Agricultural and Applied Economics Association.
    18. Haab, Timothy C. & Hicks, Robert L., 1997. "Accounting for Choice Set Endogeneity in Random Utility Models of Recreation Demand," Journal of Environmental Economics and Management, Elsevier, vol. 34(2), pages 127-147, October.
    19. Scrogin, David & Hofler, Richard & Boyle, Kevin J. & Milon, J. Walter, 2004. "On The Frontier Of Generating Revealed Preference Choice Sets: An Efficient Approach," 2004 Annual meeting, August 1-4, Denver, CO 20134, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    20. Melstrom, Richard T., 2017. "The petroleum industry's response to an endangered species listing," 2017 Annual Meeting, July 30-August 1, Chicago, Illinois 258281, Agricultural and Applied Economics Association.

    More about this item

    Keywords

    Environmental Economics and Policy;

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:ags:wisagr:12684. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: AgEcon Search (email available below). General contact details of provider: https://edirc.repec.org/data/dauwius.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.