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Using Ecological Production Theory to Define and Select Environmental Commodities for Nonmarket Valuation

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  • Boyd, James
  • Krupnick, Alan J.

Abstract

Economic analyses of nature must somehow define the “environmental commodities” to which values are attached. We articulate principles to guide the choice and interpretation of nonmarket commodities. We describe how complex natural systems can be decomposed consistent with “ecological production theory,” which, like conventional production theory, distinguishes between biophysical inputs, process, and outputs. We argue that a systems approach to the decomposition and presentation of natural commodities can inform and possibly improve the validity of nonmarket environmental valuation studies. We raise concerns about interpretation, usefulness, and accuracy of benefit estimates derived without reference to ecological production theory.

Suggested Citation

  • Boyd, James & Krupnick, Alan J., 2013. "Using Ecological Production Theory to Define and Select Environmental Commodities for Nonmarket Valuation," Agricultural and Resource Economics Review, Northeastern Agricultural and Resource Economics Association, vol. 42(1), pages 1-32, April.
  • Handle: RePEc:ags:arerjl:148395
    DOI: 10.22004/ag.econ.148395
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    1. Wiktor Adamowicz & Peter Boxall & Michael Williams & Jordan Louviere, 1998. "Stated Preference Approaches for Measuring Passive Use Values: Choice Experiments and Contingent Valuation," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 80(1), pages 64-75.
    2. Adamowicz, Wiktor & Swait, Joffre & Boxall, Peter & Louviere, Jordan & Williams, Michael, 1997. "Perceptions versus Objective Measures of Environmental Quality in Combined Revealed and Stated Preference Models of Environmental Valuation," Journal of Environmental Economics and Management, Elsevier, vol. 32(1), pages 65-84, January.
    3. Ajzen, Icek & Brown, Thomas C. & Rosenthal, Lori H., 1996. "Information Bias in Contingent Valuation: Effects of Personal Relevance, Quality of Information, and Motivational Orientation," Journal of Environmental Economics and Management, Elsevier, vol. 30(1), pages 43-57, January.
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    2. Uchida, Emi & Swallow, Stephen K. & Gold, Arthur J. & Opaluch, James & Kafle, Achyut & Merrill, Nathaniel H. & Michaud, Clayton & Gill, Carrie Anne, 2018. "Integrating Watershed Hydrology and Economics to Establish a Local Market for Water Quality Improvement: A Field Experiment," Ecological Economics, Elsevier, vol. 146(C), pages 17-25.
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    4. Chris Moore & Dennis Guignet & Kelly B. Maguire & Chris Dockins & Nathalie B. Simon, 2015. "A Stated Preference Study of the Chesapeake Bay and Watershed Lakes," NCEE Working Paper Series 201506, National Center for Environmental Economics, U.S. Environmental Protection Agency, revised Nov 2015.
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    13. Weber, Matthew A. & Meixner, Thomas & Stromberg, Juliet C., 2016. "Valuing instream-related services of wastewater," Ecosystem Services, Elsevier, vol. 21(PA), pages 59-71.
    14. Dennis Guignet & Charles Griffiths & Heather Klemick & Patrick J. Walsh, 2017. "The Implicit Price of Aquatic Grasses," Marine Resource Economics, University of Chicago Press, vol. 32(1), pages 21-41.
    15. Stephen Newbold & R. David Simpson & D. Matthew Massey & Matthew T. Heberling & William Wheeler & Joel Corona & Julie Hewitt, 2018. "Benefit Transfer Challenges: Perspectives from U.S. Practitioners," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 69(3), pages 467-481, March.
    16. Chris Dockins & William Wheeler, 2015. "Lessons from risk assessment, economics, and risk management at EPA," Chapters, in: Carol Mansfield & V. K. Smith (ed.), Benefit–Cost Analyses for Security Policies, chapter 3, pages 63-77, Edward Elgar Publishing.
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