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Estimating the Nonmarket Value of Green Technologies Using Partial Data Enrichment Techniques

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  • Gelso, Brett R.
  • Peterson, Jeffrey M.

Abstract

Recent studies have suggested that green technologies may be a cost effective way to manage urban runoff. Literature has also suggests that there needs to be a greater empirical basis to estimate the benefits associated with social values associated with urban trees; we therefore estimate ecosystem benefits of green technologies using emerging data enrichment valuation methods.

Suggested Citation

  • Gelso, Brett R. & Peterson, Jeffrey M., 2004. "Estimating the Nonmarket Value of Green Technologies Using Partial Data Enrichment Techniques," 2004 Annual meeting, August 1-4, Denver, CO 19994, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    • Handle: RePEc:ags:aaea04:19994
    DOI: 10.22004/ag.econ.19994
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    References listed on IDEAS

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    1. Louviere,Jordan J. & Hensher,David A. & Swait,Joffre D. With contributions by-Name:Adamowicz,Wiktor, 2000. "Stated Choice Methods," Cambridge Books, Cambridge University Press, number 9780521788304, November.
    2. Dietrich Earnhart, 2001. "Combining Revealed and Stated Preference Methods to Value Environmental Amenities at Residential Locations," Land Economics, University of Wisconsin Press, vol. 77(1), pages 12-29.
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    Environmental Economics and Policy;

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