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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. 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.
    2. 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.
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