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Effects of health information on Nordic meat and fish demand

Author

Listed:
  • Kyrre Rickertsen
  • Dadi Kristofersson
  • Solveig Lothe

Abstract

Increasing public concerns about health risks associated with dietary intakes of cholesterol are expected to have significant impacts on the demand for foods with high fat content. This paper investigates how information about cholesterol, as measured by two newly constructed indices based on published medical research, has affected the demand for meats (beef, chicken and pork) and fish in the Nordic countries (Denmark, Finland, Norway and Sweden). To compare the effects of information across countries and over time, the demand equations for all the countries are estimated within one system, and a complete set of price and expenditure elasticities is estimated. Our findings suggest that health information has affected consumption in a healthy way in all countries studied except for Denmark. We find positive effects on the demand for chicken in Finland, Norway and Sweden and for fish in Finland and Sweden. A negative effect on the demand for beef in Sweden also is found. Copyright Springer-Verlag Berlin Heidelberg 2003

Suggested Citation

  • Kyrre Rickertsen & Dadi Kristofersson & Solveig Lothe, 2003. "Effects of health information on Nordic meat and fish demand," Empirical Economics, Springer, vol. 28(2), pages 249-273, April.
    • Handle: RePEc:spr:empeco:v:28:y:2003:i:2:p:249-273
    DOI: 10.1007/s001810200129
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    Citations

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    Cited by:

    1. Chang, Hung-Hao & Just, David R., 2007. "Health Information Availability and the Consumption of Eggs: Are Consumers Bayesians?," Journal of Agricultural and Resource Economics, Western Agricultural Economics Association, vol. 32(1), pages 1-16, April.
    2. Paudel, Laxmi & Adhikari, Murali & Houston, Jack E., 2005. "Assessing the Impacts of Low Carbohydrate Related Health Information on the Market Demand for US Vegetables," 2005 Annual meeting, July 24-27, Providence, RI 19541, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    3. Adam Dvir, 2022. "Is mass media an effective channel for conveying nutritional information? Welfare implications of the WHO classification of processed meats as carcinogenic on consumers in Israel," French Stata Users' Group Meetings 2022 21, Stata Users Group.
    4. Gustavsen, Geir Waehler & Rickertsen, Kyrre, 2004. "For Whom Reduced Prices Count: A Censored Quantile Regression Analysis Of Vegetable Demand," 2004 Annual meeting, August 1-4, Denver, CO 20172, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    5. Silva, Andres & Garcia, Marian & Bailey, Alastair, 2012. "The Impact of Child Obesity News on Household Food Expenditure in the United Kingdom," 2012 AAEA/EAAE Food Environment Symposium 123526, Agricultural and Applied Economics Association.
    6. Kristine Grimsrud & Henrik Lindhjem & Ingvild Vestre Sem & Knut Einar Rosendahl, 2019. "Public acceptance and willingness to pay cost-effective taxes on red meat and road traffic in Norway," Discussion Papers 909, Statistics Norway, Research Department.
    7. Andres Silva & Lindsey M. Higgins & Mohamud Hussein, 2015. "An Evaluation of the Effect of Child-Directed Television Food Advertising Regulation in the United Kingdom," Canadian Journal of Agricultural Economics/Revue canadienne d'agroeconomie, Canadian Agricultural Economics Society/Societe canadienne d'agroeconomie, vol. 63(4), pages 583-600, December.
    8. Luke, Jaime R. & Tonsor, Glynn T. & Brown, D. Scott, 2024. "Wholesale pork demand: Understanding primal-level heterogeneity," Journal of Commodity Markets, Elsevier, vol. 34(C).
    9. Pruitt, J. Ross & Holcomb, Rodney B., 2017. "Impacts of Food Safety Recalls and Consumer Information on Restaurant Performance," Journal of Food Distribution Research, Food Distribution Research Society, vol. 48(3), November.
    10. Liana Jacobi & Nhung Nghiem & Andrés Ramírez‐Hassan & Tony Blakely, 2021. "Food Price Elasticities for Policy Interventions: Estimates from a Virtual Supermarket Experiment in a Multistage Demand Analysis with (Expert) Prior Information," The Economic Record, The Economic Society of Australia, vol. 97(319), pages 457-490, December.
    11. Martin Browning & Lars Gårn Hansen & Sinne Smed, 2019. "Heterogeneous Consumer Reactions to Health News," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 101(2), pages 579-599.
    12. Adhikari, Murali & Paudel, Laxmi & Houston, Jack E. & Paudel, Krishna P. & Bukenya, James O., 2006. "The Impact of Cholesterol Information on Meat Demand: Application of an Updated Cholesterol Index," Journal of Food Distribution Research, Food Distribution Research Society, vol. 37(2), pages 1-10, July.
    13. Martin Browning & Lars Gårn Hansen & Sinne Smed, 2013. "Rational inattention or rational overreaction? Consumer reactions to health news," IFRO Working Paper 2013/14, University of Copenhagen, Department of Food and Resource Economics.
    14. Sven Anders & Anke Mőser, 2010. "Consumer Choice and Health: The Importance of Health Attributes for Retail Meat Demand in Canada," Canadian Journal of Agricultural Economics/Revue canadienne d'agroeconomie, Canadian Agricultural Economics Society/Societe canadienne d'agroeconomie, vol. 58(2), pages 249-271, June.
    15. Bi, Xiang & House, Lisa & Gao, Zhifeng, 2014. "Can Nutrition and Health Information Increase Demand for Seafood among Parents? Evidence from a Choice Experiment," 2014 Annual Meeting, July 27-29, 2014, Minneapolis, Minnesota 170266, Agricultural and Applied Economics Association.

    More about this item

    Keywords

    Key words: cholesterol; demand analysis; meats; health information; Nordic countries; JEL classification: I12; Q11;
    All these keywords.

    JEL classification:

    • I12 - Health, Education, and Welfare - - Health - - - Health Behavior
    • Q11 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Agriculture - - - Aggregate Supply and Demand Analysis; Prices

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