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Understanding the low use rate of food nutrition information in China

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  • Guan, Lijun
  • Zhang, Yan
  • Jin, Shaosheng
  • Zhou, Lin

Abstract

Based on a survey of 1,225 consumers in 10 cities of five representative provinces, this study was designed to understand the low use rate of food nutrition information in China after a mandatory label policy was instituted in 2013. We found that consumers always neglect nutrition information at point-of-purchase. But they refer to simplified front-of-pack labels more frequently than detailed back-of-pack labels. Fat information is most concerned especially by females; whereas sodium information attracts the least concern. Ignorance, a belief that the information is un-useful are the main cause of the low use rate of nutritional information. Thus, simplified and striking tag formats should be used to capture consumers’ attention and convince them of the importance of nutrition information. The findings can also be used as a guide in the design of food marketing programs directing at different consumer groups for food processors targeting the Chinese market.

Suggested Citation

  • Guan, Lijun & Zhang, Yan & Jin, Shaosheng & Zhou, Lin, 2021. "Understanding the low use rate of food nutrition information in China," International Food and Agribusiness Management Review, International Food and Agribusiness Management Association, vol. 24(5), April.
    • Handle: RePEc:ags:ifaamr:316320
    DOI: 10.22004/ag.econ.316320
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    as
    1. Rimal, Arbindra & Fletcher, Stanley M. & McWatters, Kay H., 2000. "Nutrition Considerations In Food Selection," International Food and Agribusiness Management Review, International Food and Agribusiness Management Association, vol. 3(1), pages 1-16.
    2. Unnevehr, Laurian J. & Jagmanaite, Evelina, 2008. "Getting rid of trans fats in the US diet: Policies, incentives and progress," Food Policy, Elsevier, vol. 33(6), pages 497-503, December.
    3. Houghton, J.R. & Rowe, G. & Frewer, L.J. & Van Kleef, E. & Chryssochoidis, G. & Kehagia, O. & Korzen-Bohr, S. & Lassen, J. & Pfenning, U. & Strada, A., 2008. "The quality of food risk management in Europe: Perspectives and priorities," Food Policy, Elsevier, vol. 33(1), pages 13-26, February.
    4. Shimokawa, Satoru, 2016. "Why can calorie posting be apparently ineffective? The roles of two conflicting learning effects," Food Policy, Elsevier, vol. 64(C), pages 107-120.
    5. Davidson, Russell & MacKinnon, James G., 1993. "Estimation and Inference in Econometrics," OUP Catalogue, Oxford University Press, number 9780195060119.
    6. Boztuğ, Yasemin & Juhl, Hans Jørn & Elshiewy, Ossama & Jensen, Morten Berg, 2015. "Consumer response to monochrome Guideline Daily Amount nutrition labels," Food Policy, Elsevier, vol. 53(C), pages 1-8.
    7. Hausman, Jerry, 2015. "Specification tests in econometrics," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 38(2), pages 112-134.
    8. Kim, Sung-Yong & Nayga, Rodolfo M., Jr. & Capps, Oral, Jr., 2000. "The Effect Of Food Label Use On Nutrient Intakes: An Endogenous Switching Regression Analysis," Journal of Agricultural and Resource Economics, Western Agricultural Economics Association, vol. 25(1), pages 1-17, July.
    9. Lin, Biing-Hwan & Guthrie, Joanne & Rahkovsky, Ilya & Lin, Chung-Tung & Lee, Jonq-Ying, 2014. "Simulating the Potential Effects of a Shelf-Tag Nutrition Information Program and Pricing on Diet Quality Associated with Ready-to-Eat Cereals," International Food and Agribusiness Management Review, International Food and Agribusiness Management Association, vol. 17(A), pages 1-18, March.
    10. Wang, Emily Y. & Wei, Hongli & Caswell, Julie A., 2016. "The impact of mandatory trans fat labeling on product mix and consumer choice: A longitudinal analysis of the U.S. Market for margarine and spreads," Food Policy, Elsevier, vol. 64(C), pages 63-81.
    11. Zhou, Yijing & Du, Shufa & Su, Chang & Zhang, Bing & Wang, Huijun & Popkin, Barry M., 2015. "The food retail revolution in China and its association with diet and health," Food Policy, Elsevier, vol. 55(C), pages 92-100.
    12. Andreas C. Drichoutis & Panagiotis Lazaridis & Rodolfo M. Nayga, 2005. "Nutrition knowledge and consumer use of nutritional food labels," European Review of Agricultural Economics, Oxford University Press and the European Agricultural and Applied Economics Publications Foundation, vol. 32(1), pages 93-118, March.
    13. Andreas C. Drichoutis & Panagiotis Lazaridis & Rodolfo M. Nayga, 2009. "Would consumers value food-away-from-home products with nutritional labels?," Agribusiness, John Wiley & Sons, Ltd., vol. 25(4), pages 550-575.
    14. Barreiro-Hurlé, Jesús & Gracia, Azucena & de-Magistris, Tiziana, 2010. "Does nutrition information on food products lead to healthier food choices?," Food Policy, Elsevier, vol. 35(3), pages 221-229, June.
    15. Biing-Hwan Lin & Steven Yen, 2008. "Consumer knowledge, food label use and grain consumption in the US," Applied Economics, Taylor & Francis Journals, vol. 40(4), pages 437-448.
    16. George A. Akerlof, 1970. "The Market for "Lemons": Quality Uncertainty and the Market Mechanism," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 84(3), pages 488-500.
    17. Bercedis Peterson & Frank E. Harrell, 1990. "Partial Proportional Odds Models for Ordinal Response Variables," Journal of the Royal Statistical Society Series C, Royal Statistical Society, vol. 39(2), pages 205-217, June.
    18. Andreas Drichoutis & Panagiotis Lazaridis & Rodolfo Nayga & Maria Kapsokefalou & George Chryssochoidis, 2008. "A theoretical and empirical investigation of nutritional label use," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 9(3), pages 293-304, August.
    19. Richard Williams, 2006. "Generalized ordered logit/partial proportional odds models for ordinal dependent variables," Stata Journal, StataCorp LP, vol. 6(1), pages 58-82, March.
    20. Bonanno, Alessandro & Goetz, Stephan J., 2012. "Food Store Density, Nutrition Education, Eating Habits and Obesity," International Food and Agribusiness Management Review, International Food and Agribusiness Management Association, vol. 15(4), pages 1-26, November.
    21. Brian E. Roe & Mario F. Teisl & Corin R. Deans, 2014. "The Economics of Voluntary Versus Mandatory Labels," Annual Review of Resource Economics, Annual Reviews, vol. 6(1), pages 407-427, October.
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    2. Guan, Lijun & Huang, Zuhui & Jin, Shaosheng, 2022. "Time preference and nutrition label use: Evidence from China," Economics & Human Biology, Elsevier, vol. 47(C).

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