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A Spatial Model of Dolphin Avoidance in the Eastern Tropical Pacific Ocean

Author

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  • Hicks, Robert L.
  • Schnier, Kurt E.

Abstract

This paper examines the impact of dolphin-safe eco-labeling and how it fundamentally altered the spatial distribution of fishing effort and fishermen's willingness to pay to avoid dolphins. To do this, a dynamic discrete choice econometric model is applied to the Eastern Tropical Pacific tuna fishery. This econometric approach combines a dynamic programming component with the static discrete site choice model. This estimator couples the current period projected profits associated with fishing a specific site with the value of all future location choices on the cruise, assuming choices are made optimally. The key feature of this model is that it recovers behavioral parameters and solves the dynamic programming problem recursively. The dynamic site choice model reveals a markedly higher impact on producers as compared to the commonly used static model following the labeling regime. Further, in all but a few cases the common practice in dynamic choice models of setting discount factors equal to one is rejected.

Suggested Citation

  • Hicks, Robert L. & Schnier, Kurt E., 2006. "A Spatial Model of Dolphin Avoidance in the Eastern Tropical Pacific Ocean," 2006 Annual meeting, July 23-26, Long Beach, CA 21290, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
  • Handle: RePEc:ags:aaea06:21290
    DOI: 10.22004/ag.econ.21290
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    References listed on IDEAS

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    1. Rust, John, 1987. "Optimal Replacement of GMC Bus Engines: An Empirical Model of Harold Zurcher," Econometrica, Econometric Society, vol. 55(5), pages 999-1033, September.
    2. Teisl, Mario F. & Roe, Brian & Hicks, Robert L., 2002. "Can Eco-Labels Tune a Market? Evidence from Dolphin-Safe Labeling," Journal of Environmental Economics and Management, Elsevier, vol. 43(3), pages 339-359, May.
    3. John Rust & Christopher Phelan, 1997. "How Social Security and Medicare Affect Retirement Behavior in a World of Incomplete Markets," Econometrica, Econometric Society, vol. 65(4), pages 781-832, July.
    4. Hanemann, W. Michael, 1982. "Applied Welfare Analysis with Qualitative Response Models," Department of Agricultural & Resource Economics, UC Berkeley, Working Paper Series qt7982f0k8, Department of Agricultural & Resource Economics, UC Berkeley.
    5. Basu, Arnab K. & Chau, Nancy H. & Grote, Ulrike, 2000. "Guaranteed Manufactured Without Child Labor," Working Papers 179542, Cornell University, Department of Applied Economics and Management.
    6. Rita Curtis & Robert L. Hicks, 2000. "The Cost of Sea Turtle Preservation: The Case of Hawaii's Pelagic Longliners," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 82(5), pages 1191-1197.
    7. Smith, Martin D. & Provencher, Bill, 2003. "Spatial Search In Commercial Fishing: A Discrete Choice Dynamic Programming Approach," 2003 Annual meeting, July 27-30, Montreal, Canada 21932, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    8. Keane, Michael P & Wolpin, Kenneth I, 1994. "The Solution and Estimation of Discrete Choice Dynamic Programming Models by Simulation and Interpolation: Monte Carlo Evidence," The Review of Economics and Statistics, MIT Press, vol. 76(4), pages 648-672, November.
    9. Sedjo, Roger & Swallow, Stephen, 1999. "Eco-Labeling and the Price Premium," RFF Working Paper Series dp-00-04, Resources for the Future.
    10. Wesley Nimon & John Beghin, 1999. "Are Eco-Labels Valuable? Evidence From the Apparel Industry," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 81(4), pages 801-811.
    11. John Rust, 1997. "Using Randomization to Break the Curse of Dimensionality," Econometrica, Econometric Society, vol. 65(3), pages 487-516, May.
    12. Johan A. Mistiaen & Ivar E. Strand, 2000. "Location Choice of Commercial Fishermen with Heterogeneous Risk Preferences," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 82(5), pages 1184-1190.
    13. Miranda, Mario J & Schnitkey, Gary D, 1995. "An Empirical Model of Asset Replacement in Dairy Production," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 10(S), pages 41-55, Suppl. De.
    14. Baerenklau, Kenneth A. & Provencher, Bill, 2005. "Static modeling of dynamic recreation behavior: Implications for prediction and welfare estimation," Journal of Environmental Economics and Management, Elsevier, vol. 50(3), pages 617-636, November.
    15. Bjorner, Thomas Bue & Hansen, L.G.Lars Garn & Russell, Clifford S., 2004. "Environmental labeling and consumers' choice--an empirical analysis of the effect of the Nordic Swan," Journal of Environmental Economics and Management, Elsevier, vol. 47(3), pages 411-434, May.
    16. Bill Provencher, 1997. "Structural Versus Reduced-Form Estimation of Optimal Stopping Problems," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 79(2), pages 357-368.
    17. O'Brien, Kelly A. & Teisl, Mario F., 2004. "Eco-information and its effect on consumer values for environmentally certified forest products," Journal of Forest Economics, Elsevier, vol. 10(2), pages 75-96, September.
    18. Edward Morey & Jennifer Thacher & William Breffle, 2006. "Using Angler Characteristics and Attitudinal Data to Identify Environmental Preference Classes: A Latent-Class Model," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 34(1), pages 91-115, May.
    19. Smith, Vernon L, 1971. "Economics of Production from Natural Resources: Reply," American Economic Review, American Economic Association, vol. 61(3), pages 488-491, June.
    20. Smith, Martin D., 2005. "State dependence and heterogeneity in fishing location choice," Journal of Environmental Economics and Management, Elsevier, vol. 50(2), pages 319-340, September.
    21. Roger A. Sedjo & Stephen K. Swallow, 2002. "Voluntary Eco-Labeling and the Price Premium," Land Economics, University of Wisconsin Press, vol. 78(2), pages 272-284.
    22. Provencher, Bill & Bishop, Richard C., 1997. "An Estimable Dynamic Model of Recreation Behavior with an Application to Great Lakes Angling," Journal of Environmental Economics and Management, Elsevier, vol. 33(2), pages 107-127, June.
    23. Sanchirico, James N. & Wilen, James E., 1999. "Bioeconomics of Spatial Exploitation in a Patchy Environment," Journal of Environmental Economics and Management, Elsevier, vol. 37(2), pages 129-150, March.
    24. Richard E. Howitt & Siwa Msangi & Arnaud Reynaud & Keith C. Knapp, 2005. "Estimating Intertemporal Preferences for Natural Resource Allocation," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 87(4), pages 969-983.
    25. Robert L. Hicks & Kurt E. Schnier, 2006. "Dynamic Random Utility Modeling: A Monte Carlo Analysis," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 88(4), pages 816-835.
    26. Martin D. Smith, 2000. "Spatial Search and Fishing Location Choice: Methodological Challenges of Empirical Modeling," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 82(5), pages 1198-1206.
    27. Daniel S. Holland & Jon G. Sutinen, 2000. "Location Choice in New England Trawl Fisheries: Old Habits Die Hard," Land Economics, University of Wisconsin Press, vol. 76(1), pages 133-149.
    28. Richard Bellman, 1957. "On a Dynamic Programming Approach to the Caterer Problem--I," Management Science, INFORMS, vol. 3(3), pages 270-278, April.
    29. Smith, Martin D. & Wilen, James E., 2003. "Economic impacts of marine reserves: the importance of spatial behavior," Journal of Environmental Economics and Management, Elsevier, vol. 46(2), pages 183-206, September.
    30. Hanemann, W. Michael, 1982. "Applied Welfare Analysis with Qualitative Response Models," Department of Agricultural & Resource Economics, UC Berkeley, Working Paper Series qt7982f0k8, Department of Agricultural & Resource Economics, UC Berkeley.
    31. Daniel McFadden & Kenneth Train, 2000. "Mixed MNL models for discrete response," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 15(5), pages 447-470.
    32. Riccardo Scarpa & Mara Thiene, 2005. "Destination Choice Models for Rock Climbing in the Northeastern Alps: A Latent-Class Approach Based on Intensity of Preferences," Land Economics, University of Wisconsin Press, vol. 81(3).
    33. Smith, Vernon L, 1969. "On Models of Commercial Fishing," Journal of Political Economy, University of Chicago Press, vol. 77(2), pages 181-198, March/Apr.
    34. Bockstael, Nancy E. & Opaluch, James J., 1983. "Discrete modelling of supply response under uncertainty: The case of the fishery," Journal of Environmental Economics and Management, Elsevier, vol. 10(2), pages 125-137, June.
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    More about this item

    Keywords

    Environmental Economics and Policy;

    JEL classification:

    • C35 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Discrete Regression and Qualitative Choice Models; Discrete Regressors; Proportions
    • Q20 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Renewable Resources and Conservation - - - General
    • Q58 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics - - - Environmental Economics: Government Policy

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