IDEAS home Printed from https://ideas.repec.org/p/ags/aaea14/167716.html
   My bibliography  Save this paper

Will Consumers Pay a Premium for “Raised Carbon Friendly” Beef? Evidence from a Contingent Valuation Experiment

Author

Listed:
  • Li, Xiaogu
  • Jensen, Kimberly L.
  • Clark, Christopher D.
  • Lambert, Dayton M.

Abstract

Cattle production contributes about 2.2% of US greenhouse gas emissions. The adoption of prescribed grazing (PG) could reduce these emissions. Grass-fed beef products command price premiums; whether beef produced with PG programs would do likewise is not known. This research estimates consumer willingness-to-pay for beef grown using the PG technology.

Suggested Citation

  • Li, Xiaogu & Jensen, Kimberly L. & Clark, Christopher D. & Lambert, Dayton M., 2014. "Will Consumers Pay a Premium for “Raised Carbon Friendly” Beef? Evidence from a Contingent Valuation Experiment," 2014 Annual Meeting, July 27-29, 2014, Minneapolis, Minnesota 167716, Agricultural and Applied Economics Association.
  • Handle: RePEc:ags:aaea14:167716
    DOI: 10.22004/ag.econ.167716
    as

    Download full text from publisher

    File URL: https://ageconsearch.umn.edu/record/167716/files/Li_Jensen_Clark_Lambert%20Beef%20CV%20poster.pdf
    Download Restriction: no

    File URL: https://libkey.io/10.22004/ag.econ.167716?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. Vincent Kang Fu, 1999. "Estimating generalized ordered logit models," Stata Technical Bulletin, StataCorp LP, vol. 8(44).
    Full references (including those not matched with items on IDEAS)

    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. Dusanee Kesavayuth & Robert Rosenman & Vasileios Zikos, 2013. "Does Personality Affect how People Perceive their Health?," Working Papers 2013-13, School of Economic Sciences, Washington State University.
    2. Fuks, Mauricio & Salazar, Esther, 2008. "Applying models for ordinal logistic regression to the analysis of household electricity consumption classes in Rio de Janeiro, Brazil," Energy Economics, Elsevier, vol. 30(4), pages 1672-1692, July.
    3. Roberto Casarin & Niccolò Casnici & Pierpaolo Dondio & Flaminio Squazzoni, 2015. "Back to Basics! The Educational Gap of Online Investors and the Conundrum of Virtual Communities," Journal of Financial Management, Markets and Institutions, Società editrice il Mulino, issue 1, pages 51-69, June.
    4. Philippe Cyrenne & Alan Chan, 2019. "The Determinants of Student Success in University: A Generalized Ordered Logit Approach," Departmental Working Papers 2019-03, The University of Winnipeg, Department of Economics.
    5. Arthur C. Brooks & Jan I. Ondrich, 2006. "How Public Is Public Television?," Public Finance Review, , vol. 34(1), pages 101-113, January.
    6. Frondel, Manuel & Simora, Michael & Sommer, Stephan, 2017. "Risk Perception of Climate Change: Empirical Evidence for Germany," Ecological Economics, Elsevier, vol. 137(C), pages 173-183.
    7. Pacharaporn Arkornsakul & Woraphon Yamaka & Sombat Singkharat, 2015. "Consumer?s Willingness to Pay for Gasohol E100 in Chiang Mai Province and Nakhon Ratchasima Province," Proceedings of International Academic Conferences 2704676, International Institute of Social and Economic Sciences.
    8. Ioana-Nicoleta Abrudan & Ciprian-Marcel Pop & Paul-Sorin Lazăr, 2020. "Using a General Ordered Logit Model to Explain the Influence of Hotel Facilities, General and Sustainability-Related, on Customer Ratings," Sustainability, MDPI, vol. 12(21), pages 1-22, November.
    9. Işıl Şirin Selçuk & Altuğ Murat Köktaş & Şükrü Anıl Toygar, 2023. "Socioeconomic factors affecting the probability of obesity: evidence from a nationwide survey in Turkey," Quality & Quantity: International Journal of Methodology, Springer, vol. 57(1), pages 239-255, February.

    More about this item

    Keywords

    Agricultural and Food Policy; Environmental Economics and Policy;

    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:aaea14:167716. 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.