IDEAS home Printed from https://ideas.repec.org/p/ags/aaea91/271271.html
   My bibliography  Save this paper

Incorporating Food Attributes in the Demand for Food: A Cross-Section Study of Oyster Consumption

Author

Listed:
  • Lin, Chung-Tung Jordan
  • Milon, J. Walter

Abstract

This study examines the relationship between consumer's product attribute perceptions, especially food safety perceptions, and long-term consumption of oysters. Statistical analysis of consumer survey data shows that attribute perceptions are significantly associated with both market participation and level of consumption decisions. Yet, safety perception had a negligible behavioral impact.

Suggested Citation

  • Lin, Chung-Tung Jordan & Milon, J. Walter, 1991. "Incorporating Food Attributes in the Demand for Food: A Cross-Section Study of Oyster Consumption," 1991 Annual Meeting, August 4-7, Manhattan, Kansas 271271, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
  • Handle: RePEc:ags:aaea91:271271
    DOI: 10.22004/ag.econ.271271
    as

    Download full text from publisher

    File URL: https://ageconsearch.umn.edu/record/271271/files/aaea-1991-098.pdf
    Download Restriction: no

    File URL: https://ageconsearch.umn.edu/record/271271/files/aaea-1991-098.pdf?subformat=pdfa
    Download Restriction: no

    File URL: https://libkey.io/10.22004/ag.econ.271271?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. James A. Bayton, 1963. "Discussion: Contributions of Psychology to the Microeconomic Analysis of Consumer Demand for Food," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 45(5), pages 1435-1437.
    2. Hsiang-tai Cheng & Oral Capps, 1988. "Demand Analysis of Fresh and Frozen Finfish and Shellfish in the United States," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 70(3), pages 533-542.
    3. James A. Bayton, 1963. "Contributions of Psychology to the Microeconomic Analysis of Consumer Demand for Food," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 45(5), pages 1430-1435.
    4. Mullahy, John, 1986. "Specification and testing of some modified count data models," Journal of Econometrics, Elsevier, vol. 33(3), pages 341-365, December.
    5. White, Halbert, 1982. "Maximum Likelihood Estimation of Misspecified Models," Econometrica, Econometric Society, vol. 50(1), pages 1-25, January.
    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. Erik Brouwer & Hana Budil-Nadvornikova & Alfred Kleinknecht, 1999. "Are Urban Agglomerations a Better Breeding Place for Product Innovation? An Analysis of New Product Announcements," Regional Studies, Taylor & Francis Journals, vol. 33(6), pages 541-549.
    2. Daniel P. McMillen & Elizabeth T. Powers, 2017. "The eldercare landscape: Evidence from California," Health Economics, John Wiley & Sons, Ltd., vol. 26(S2), pages 139-157, September.
    3. Kajal Lahiri & Guibo Xing, 2004. "An econometric analysis of veterans’ health care utilization using two-part models," Empirical Economics, Springer, vol. 29(2), pages 431-449, May.
    4. Papadopoulos, Georgios & Santos Silva, J.M.C., 2012. "Identification issues in some double-index models for non-negative data," Economics Letters, Elsevier, vol. 117(1), pages 365-367.
    5. Andrew Tan & Steven Yen & Rodolfo Nayga, 2009. "Factors Affecting Alcohol Purchase Decisions and Expenditures: A Sample Selection Analysis by Ethnicity in Malaysia," Journal of Family and Economic Issues, Springer, vol. 30(2), pages 149-159, June.
    6. Kevin E. Staub & Rainer Winkelmann, 2013. "Consistent Estimation Of Zero‐Inflated Count Models," Health Economics, John Wiley & Sons, Ltd., vol. 22(6), pages 673-686, June.
    7. Xiaodi Xie, 1997. "Children and female labour supply behaviour," Applied Economics, Taylor & Francis Journals, vol. 29(10), pages 1303-1310.
    8. KENNETH C. LAND & PATRICIA L. McCALL & DANIEL S. NAGIN, 1996. "A Comparison of Poisson, Negative Binomial, and Semiparametric Mixed Poisson Regression Models," Sociological Methods & Research, , vol. 24(4), pages 387-442, May.
    9. Esmeralda A. Ramalho & Joaquim J.S. Ramalho & José M.R. Murteira, 2011. "Alternative Estimating And Testing Empirical Strategies For Fractional Regression Models," Journal of Economic Surveys, Wiley Blackwell, vol. 25(1), pages 19-68, February.
    10. Steven F. Lehrer & Tian Xie, 2022. "The Bigger Picture: Combining Econometrics with Analytics Improves Forecasts of Movie Success," Management Science, INFORMS, vol. 68(1), pages 189-210, January.
    11. Das, Debojyoti & Bhatia, Vaneet & Kumar, Surya Bhushan & Basu, Sankarshan, 2022. "Do precious metals hedge crude oil volatility jumps?," International Review of Financial Analysis, Elsevier, vol. 83(C).
    12. P.A.V.B. Swamy & I-Lok Chang & Jatinder S. Mehta & William H. Greene & Stephen G. Hall & George S. Tavlas, 2016. "Removing Specification Errors from the Usual Formulation of Binary Choice Models," Econometrics, MDPI, vol. 4(2), pages 1-21, June.
    13. Carlo Altavilla & Raffaella Giacomini & Giuseppe Ragusa, 2017. "Anchoring the yield curve using survey expectations," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 32(6), pages 1055-1068, September.
    14. Marcellino, Massimiliano & Sivec, Vasja, 2016. "Monetary, fiscal and oil shocks: Evidence based on mixed frequency structural FAVARs," Journal of Econometrics, Elsevier, vol. 193(2), pages 335-348.
    15. Fernando Rios-Avila & Gustavo Canavire-Bacarreza, 2018. "Standard-error correction in two-stage optimization models: A quasi–maximum likelihood estimation approach," Stata Journal, StataCorp LP, vol. 18(1), pages 206-222, March.
    16. Sandy Fréret & Denis Maguain, 2017. "The effects of agglomeration on tax competition: evidence from a two-regime spatial panel model on French data," International Tax and Public Finance, Springer;International Institute of Public Finance, vol. 24(6), pages 1100-1140, December.
    17. Ai, Chunrong & Chen, Xiaohong, 2007. "Estimation of possibly misspecified semiparametric conditional moment restriction models with different conditioning variables," Journal of Econometrics, Elsevier, vol. 141(1), pages 5-43, November.
    18. Ayouz, Mourad K. & Remaud, Herve, 2003. "The Internationalization Determinants Of The Small Agro-Food Firms: Hypotheses And Statistical Tests," International Food and Agribusiness Management Review, International Food and Agribusiness Management Association, vol. 5(2), pages 1-27.
    19. Broze, Laurence & Gourieroux, Christian, 1998. "Pseudo-maximum likelihood method, adjusted pseudo-maximum likelihood method and covariance estimators," Journal of Econometrics, Elsevier, vol. 85(1), pages 75-98, July.
    20. Sridhar, Shrihari & Naik, Prasad A. & Kelkar, Ajay, 2017. "Metrics unreliability and marketing overspending," International Journal of Research in Marketing, Elsevier, vol. 34(4), pages 761-779.

    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:aaea91:271271. 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: http://www.aaea.org .

    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.