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Information Values on the Consumer’s Valuation of non-GM Material: The Case of Cooking Oil in Korea

Author

Listed:
  • Kyungsoo Nam

    (Department of Food and Resource Economics, Korea University, Seoul 20841, Korea)

  • Heesun Lim

    (Department of Food and Resource Economics, Korea University, Seoul 20841, Korea)

  • Byeong-il Ahn

    (Department of Food and Resource Economics, Korea University, Seoul 20841, Korea)

Abstract

This paper analyzes the changes in consumer preference that may occur when the current Genetically Modified (GM) crops policy is strengthened by applying mandatory labeling to all processed food that uses GM crops as raw materials. We estimate the change in consumers’ willingness to pays for cooking oil before and after providing the information on GM raw material contained in the currently marketed cooking oil to consumers. To this end, a hypothetical cooking oil product using non-GM raw materials is set up, and consumers are classified into high and low awareness groups for genetically modified organisms (GMOs) and those who prefer and do not prefer organic foods. The Contingent Valuation Method (CVM) analyses show the amount of willingness to pay before providing the information for high and low awareness groups for GMOs increases from 23.8 dollars and 18.0 dollars per 1.8 L to 25.6 dollars and 20.3 dollars, respectively. The value of the information on GM raw materials of a consumer group with high prior knowledge of GMOs is estimated to be 1.8 dollars, and the value of the information of a consumer group with low prior knowledge is estimated to be 2.4 dollars per 1.8 L. The willingness to pay (WTP) change according to the information provision of the group with the highest prior knowledge of GMOs is estimated to be 0.6 dollars, and the WTP change is estimated to be 3.6 dollars for the group with lowest prior knowledge. This implies that the lower the prior knowledge possessed by a consumer, the higher the value of information on GM raw materials elicited.

Suggested Citation

  • Kyungsoo Nam & Heesun Lim & Byeong-il Ahn, 2020. "Information Values on the Consumer’s Valuation of non-GM Material: The Case of Cooking Oil in Korea," Sustainability, MDPI, vol. 12(19), pages 1-19, September.
    • Handle: RePEc:gam:jsusta:v:12:y:2020:i:19:p:7876-:d:418063
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    References listed on IDEAS

    as
    1. Xiaoqin Zhu & Xiaofei Xie, 2015. "Effects of Knowledge on Attitude Formation and Change Toward Genetically Modified Foods," Risk Analysis, John Wiley & Sons, vol. 35(5), pages 790-810, May.
    2. Lopez-Feldman, Alejandro, 2012. "Introduction to contingent valuation using Stata," MPRA Paper 41018, University Library of Munich, Germany.
    3. Akhter Ali & Awudu Abdulai, 2010. "The Adoption of Genetically Modified Cotton and Poverty Reduction in Pakistan," Journal of Agricultural Economics, Wiley Blackwell, vol. 61(1), pages 175-192, February.
    4. Fernandez-Cornejo, Jorge & Livingston, Michael J. & Mitchell, Lorraine & Wechsler, Seth, 2014. "Genetically Engineered Crops in the United States," Economic Research Report 164263, United States Department of Agriculture, Economic Research Service.
    5. Wilhelm Klümper & Matin Qaim, 2014. "A Meta-Analysis of the Impacts of Genetically Modified Crops," PLOS ONE, Public Library of Science, vol. 9(11), pages 1-7, November.
    6. Delmond, Anthony R. & McCluskey, Jill J. & Yormirzoev, Mirzobobo & Rogova, Maria A., 2018. "Russian consumer willingness to pay for genetically modified food," Food Policy, Elsevier, vol. 78(C), pages 91-100.
    7. Michael Hanemann & John Loomis & Barbara Kanninen, 1991. "Statistical Efficiency of Double-Bounded Dichotomous Choice Contingent Valuation," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 73(4), pages 1255-1263.
    8. Jikun Huang & Ruifa Hu & Scott Rozelle & Carl Pray, 2008. "Genetically Modified Rice, Yields, and Pesticides: Assessing Farm-Level Productivity Effects in China," Economic Development and Cultural Change, University of Chicago Press, vol. 56(2), pages 241-263, January.
    9. Paul R. Portney, 1994. "The Contingent Valuation Debate: Why Economists Should Care," Journal of Economic Perspectives, American Economic Association, vol. 8(4), pages 3-17, Fall.
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    Cited by:

    1. Francisco J. Areal & Laura Riesgo, 2021. "EU Inspections of GM Content in Food and Feed: Are They Effective?," Agriculture, MDPI, vol. 11(9), pages 1-18, September.

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