IDEAS home Printed from https://ideas.repec.org/p/ags/aaea11/103734.html
   My bibliography  Save this paper

Modeling Certainty-Adjusted Willingness to Pay for Ecosystem Service Improvement from Agriculture

Author

Listed:
  • Ma, Shan
  • Lupi, Frank
  • Swinton, Scott M.
  • Chen, Huilan

Abstract

The public demand for ecosystem services measured by willingness to pay (WTP) in contingent valuation studies provides important information for designing Payment-for-Ecosystem-Service (PES) programs. However, the hypothetical markets for contingent valuation and respondents’ unfamiliarity with certain ecosystem services may increase their preference uncertainty, which may increase variance and even cause bias in WTP estimates. Taking advantage of a unique stated preference data set that includes a follow-up question rating the respondent’s certainty level, this study evaluates alternative methods of modeling certainty-adjusted WTP for cleaner lakes and abated global warming. Results suggest that the incorporation of self-reported uncertainty into binary choice models significantly reduces the median WTP and appears to improve our understanding of the demand for ecosystem services.

Suggested Citation

  • Ma, Shan & Lupi, Frank & Swinton, Scott M. & Chen, Huilan, 2011. "Modeling Certainty-Adjusted Willingness to Pay for Ecosystem Service Improvement from Agriculture," 2011 Annual Meeting, July 24-26, 2011, Pittsburgh, Pennsylvania 103734, Agricultural and Applied Economics Association.
    • Handle: RePEc:ags:aaea11:103734
    DOI: 10.22004/ag.econ.103734
    as

    Download full text from publisher

    File URL: https://ageconsearch.umn.edu/record/103734/files/2011%20AAEA%20Paper%20MaLupiSwintonChen%2011aug1.pdf
    Download Restriction: no
    File URL: https://libkey.io/10.22004/ag.econ.103734?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. G. Cornelis van Kooten & Emina Krcmar & Erwin H. Bulte, 2001. "Preference Uncertainty in Non-Market Valuation: A Fuzzy Approach," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 83(3), pages 487-500.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Catherine M. H. Keske & Adam Mayer, 2014. "Visitor Willingness to Pay U.S. Forest Service Recreation Fees in New West Rural Mountain Economies," Economic Development Quarterly, , vol. 28(1), pages 87-100, February.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Thunström, Linda & Nordström, Jonas & Shogren, Jason F., 2015. "Certainty and overconfidence in future preferences for food," Journal of Economic Psychology, Elsevier, vol. 51(C), pages 101-113.
    2. Morillas, Antonio & Díaz, Bárbara, 2007. "Qualitative Answering Surveys And Soft Computing," Fuzzy Economic Review, International Association for Fuzzy-set Management and Economy (SIGEF), vol. 0(1), pages 3-19, May.
    3. Emmanuel Flachaire & Guillaume Hollard, 2007. "Model Selection in Iterative Valuation Questions," Revue d'économie politique, Dalloz, vol. 117(5), pages 853-865.
    4. Amin W. Mugera, 2013. "Measuring technical efficiency of dairy farms with imprecise data: a fuzzy data envelopment analysis approach," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 57(4), pages 501-520, October.
    5. Day, Brett & Bateman, Ian J. & Carson, Richard T. & Dupont, Diane & Louviere, Jordan J. & Morimoto, Sanae & Scarpa, Riccardo & Wang, Paul, 2012. "Ordering effects and choice set awareness in repeat-response stated preference studies," Journal of Environmental Economics and Management, Elsevier, vol. 63(1), pages 73-91.
    6. Sabina Shaikh & Lili Sun & G. Cornelis van Kooten, 2005. "The Effect of Uncertainty on Contingent Valuation Estimates: A Comparison," Working Papers 2005-15, University of Victoria, Department of Economics, Resource Economics and Policy Analysis Research Group.
    7. Day, Brett & Pinto Prades, Jose-Luis, 2010. "Ordering anomalies in choice experiments," Journal of Environmental Economics and Management, Elsevier, vol. 59(3), pages 271-285, May.
    8. Thomas Lundhede & Jette Bredahl Jacobsen & Nick Hanley & Niels Strange & Bo Jellesmark Thorsen, 2015. "Incorporating Outcome Uncertainty and Prior Outcome Beliefs in Stated Preferences," Land Economics, University of Wisconsin Press, vol. 91(2), pages 296-316.
    9. Duval, Yann & Kastens, Terry L. & Featherstone, Allen M., 2002. "Financial Classification Of Farm Businesses Using Fuzzy Systems," 2002 Annual meeting, July 28-31, Long Beach, CA 19596, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    10. Kiesel Kristin & Villas-Boas Sofia B, 2007. "Got Organic Milk? Consumer Valuations of Milk Labels after the Implementation of the USDA Organic Seal," Journal of Agricultural & Food Industrial Organization, De Gruyter, vol. 5(1), pages 1-40, April.
    11. Nikita Lyssenko & Roberto Mart󹑺-Espiñeira, 2012. "Respondent uncertainty in contingent valuation: the case of whale conservation in Newfoundland and Labrador," Applied Economics, Taylor & Francis Journals, vol. 44(15), pages 1911-1930, May.
    12. Seon-Ae Kim & Jeffrey M. Gillespie & Krishna P. Paudel, 2008. "Rotational grazing adoption in cattle production under a cost-share agreement: does uncertainty have a role in conservation technology adoption?," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 52(3), pages 235-252, September.
    13. John E. Ataguba & Hyacinth E. Ichoku & William M. Fonta, 2008. "Estimating the willingness to pay for community healthcare insurance in rural Nigeria," Working Papers PMMA 2008-10, PEP-PMMA.
    14. Kräussl, Roman & Lucas, André & Siegmann, Arjen, 2012. "Risk aversion under preference uncertainty," Finance Research Letters, Elsevier, vol. 9(1), pages 1-7.
    15. Murat Isik, 2006. "An experimental analysis of impacts of uncertainty and irreversibility on willingness-to-pay," Applied Economics Letters, Taylor & Francis Journals, vol. 13(2), pages 67-72.
    16. Broberg, Thomas & Brännlund, Runar, 2008. "An alternative interpretation of multiple bounded WTP data--Certainty dependent payment card intervals," Resource and Energy Economics, Elsevier, vol. 30(4), pages 555-567, December.
    17. Xuehong Wang & John Rolfe, 2009. "Incorporating issues of risk and uncertainty into choice modelling experiments," Environmental Economics Research Hub Research Reports 0912, Environmental Economics Research Hub, Crawford School of Public Policy, The Australian National University.
    18. Richard C. Ready & Patricia A. Champ & Jennifer L. Lawton, 2010. "Using Respondent Uncertainty to Mitigate Hypothetical Bias in a Stated Choice Experiment," Land Economics, University of Wisconsin Press, vol. 86(2), pages 363-381.
    19. Banerjee, Prasenjit & Shogren, Jason F., 2014. "Bidding behavior given point and interval values in a second-price auction," Journal of Economic Behavior & Organization, Elsevier, vol. 97(C), pages 126-137.
    20. Sun, Lili & van Kooten, G. Cornelis, 2005. "Fuzzy Logic and Preference Uncertainty in Non-market Valuation," Working Papers 37021, University of Victoria, Resource Economics and Policy.

    More about this item

    Keywords

    Environmental Economics and Policy; Research Methods/ Statistical Methods; Risk and Uncertainty;
    All these keywords.

    NEP fields

    This paper has been announced in the following NEP Reports:

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:ags:aaea11:103734. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: AgEcon Search (email available below). General contact details of provider: https://edirc.repec.org/data/aaeaaea.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.