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Valuing a Spatially Diverse Non-Market Good: The Benefits of Reduced Non-Point Source Pollution in Green Bay, WI

Author

Listed:
  • Moore, Rebecca
  • Bishop, Richard C.
  • Provencher, Bill

Abstract

This article presents an empirical approach to correcting for spatial interactions in stated preference data when valuing large-scale, spatially variable environmental improvements. This approach is presented in the context of a contingent valuation study estimating the benefits of reduced non-point source pollution in Green Bay, Wisconsin. The significant spatial variation of water clarity conditions in this large water body was captured using satellite-derived GIS data. This article focuses on two significant challenges: first, ensuring respondents are adequately informed of how the proposed change will impact their individual utility stream; second, dealing with the spatial effects within the estimation model. The GIS water clarity data were used to measure the initial conditions faced by each individual parcel. Including this information in the analysis significantly increased the estimated expected WTP of some individuals but decreased that of others. Some of the difference in aggregated benefits is likely due to issues of spatial correlation between properties that is unaccounted for in the simpler models.

Suggested Citation

  • Moore, Rebecca & Bishop, Richard C. & Provencher, Bill, 2007. "Valuing a Spatially Diverse Non-Market Good: The Benefits of Reduced Non-Point Source Pollution in Green Bay, WI," 2007 Annual Meeting, July 29-August 1, 2007, Portland, Oregon 9809, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
  • Handle: RePEc:ags:aaea07:9809
    DOI: 10.22004/ag.econ.9809
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    Cited by:

    1. Bill Provencher & Helen Sarakinos & Tanya Meyer, 2008. "Does Small Dam Removal Affect Local Property Values? An Empirical Analysis," Contemporary Economic Policy, Western Economic Association International, vol. 26(2), pages 187-197, April.

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