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Consumers' Valuation of Rice Grade Labeling

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  • Choi, Young Woon
  • Han, Doo Bong
  • Nayga, Rodolfo M. Jr
  • Lee, Ji Yong

Abstract

The objectives of this study are to identify consumers’ willingness to pay (WTP) for each rice grade (i.e. super, good, and normal) and to investigate consumers’ valuation for a mandatory rice grading system. We utilized a non-hypothetical experimental auction (i.e. random nth price auction) to elicit consumers’ valuation for rice grades and used contingent valuation method (i.e. double-bounded dichotomous choice) to obtain consumers’ valuation for the mandatory rice grading system. Our results generally suggest that the provision of rice grade labeling to consumers is very important to enhance the value of domestic rice. Moreover, quality differentiation of rice is critical to receive a high price since Korean consumers have a strong preference and high valuation for ‘Super’ grade rice. Korean consumers also have a positive preference for the mandatory rice grading system without the ‘no test’ option. These results partly give an incentive to improve the current rice grading system in South Korea.

Suggested Citation

  • Choi, Young Woon & Han, Doo Bong & Nayga, Rodolfo M. Jr & Lee, Ji Yong, 2016. "Consumers' Valuation of Rice Grade Labeling," 2016 Annual Meeting, July 31-August 2, Boston, Massachusetts 235845, Agricultural and Applied Economics Association.
  • Handle: RePEc:ags:aaea16:235845
    DOI: 10.22004/ag.econ.235845
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    1. Shogren, Jason F. & Margolis, Michael & Koo, Cannon & List, John A., 2001. "A random nth-price auction," Journal of Economic Behavior & Organization, Elsevier, vol. 46(4), pages 409-421, December.
    2. Ji Yong Lee & Doo Bong Han & Rodolfo M. Nayga Jr & Song Soo Lim, 2011. "Valuing traceability of imported beef in Korea: an experimental auction approach," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 55(3), pages 360-373, July.
    3. Ji Yong Lee & Doo Bong Han & Rodolfo M. Nayga Jr & Jong Min Yoon, 2014. "Assessing Korean consumers' valuation for domestic, Chinese, and US rice," China Agricultural Economic Review, Emerald Group Publishing Limited, vol. 6(1), pages 125-138, January.
    4. Sang Hyeon Lee & Ji Yong Lee & Doo Bong Han & Rodolfo M. Nayga, 2015. "Are Korean consumers willing to pay a tax for a mandatory BSE testing programme?," Applied Economics, Taylor & Francis Journals, vol. 47(13), pages 1286-1297, March.
    5. Giannakas, Konstantinos & Fulton, Murray, 2002. "Consumption effects of genetic modification: what if consumers are right?," Agricultural Economics, Blackwell, vol. 27(2), pages 97-109, August.
    6. Jayson L. Lusk, 2003. "Effects of Cheap Talk on Consumer Willingness-to-Pay for Golden Rice," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 85(4), pages 840-856.
    7. List, John A, 2003. "Using Random nth Price Auctions to Value Non-market Goods and Services," Journal of Regulatory Economics, Springer, vol. 23(2), pages 193-205, March.
    8. Jayson L. Lusk & F. Bailey Norwood, 2009. "An Inferred Valuation Method," Land Economics, University of Wisconsin Press, vol. 85(3), pages 500-514.
    9. Marcus Mergenthaler & Katinka Weinberger & Matin Qaim, 2009. "Consumer Valuation of Food Quality and Food Safety Attributes in Vietnam," Review of Agricultural Economics, Agricultural and Applied Economics Association, vol. 31(2), pages 266-283.
    10. Laura O. Taylor & Ronald G. Cummings, 1999. "Unbiased Value Estimates for Environmental Goods: A Cheap Talk Design for the Contingent Valuation Method," American Economic Review, American Economic Association, vol. 89(3), pages 649-665, June.
    11. Christopher G. Leggett & Naomi S. Kleckner & Kevin J. Boyle & John W. Dufield & Robert Cameron Mitchell, 2003. "Social Desirability Bias in Contingent Valuation Surveys Administered Through In-Person Interviews," Land Economics, University of Wisconsin Press, vol. 79(4), pages 561-575.
    12. Spiros Stachtiaris & Andreas C. Drichoutis & Stathis Klonaris, 2013. "Preference reversals in Contingent and Inferred valuation methods," European Review of Agricultural Economics, Oxford University Press and the European Agricultural and Applied Economics Publications Foundation, vol. 40(2), pages 379-404, March.
    13. Marcus Mergenthaler & Katinka Weinberger & Matin Qaim, 2009. "Consumer Valuation of Food Quality and Food Safety Attributes in Vietnam," Review of Agricultural Economics, Agricultural and Applied Economics Association, vol. 31(2), pages 266-283, June.
    14. Christina Holmquist & Jill McCluskey & Carolyn Ross, 2012. "Consumer Preferences and Willingness to Pay for Oak Attributes in Washington Chardonnays," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 94(2), pages 556-561.
    15. John A. List & Robert P. Berrens & Alok K. Bohara & Joe Kerkvliet, 2004. "Examining the Role of Social Isolation on Stated Preferences," American Economic Review, American Economic Association, vol. 94(3), pages 741-752, June.
    16. 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.
    17. Silva, Andres & Nayga, Rodolfo M., Jr. & Campbell, Benjamin L. & Park, John L., 2011. "Revisiting Cheap Talk with New Evidence from a Field Experiment," Journal of Agricultural and Resource Economics, Western Agricultural Economics Association, vol. 36(2), pages 1-12, August.
    18. Lusk, Jayson L. & House, Lisa O. & Valli, Carlotta & Jaeger, Sara R. & Moore, Melissa & Morrow, Bert & Traill, W. Bruce, 2005. "Consumer welfare effects of introducing and labeling genetically modified food," Economics Letters, Elsevier, vol. 88(3), pages 382-388, September.
    19. Lava Yadav & Thomas M. van Rensburg & Hugh Kelley, 2013. "A Comparison Between the Conventional Stated Preference Technique and an Inferred Valuation Approach," Journal of Agricultural Economics, Wiley Blackwell, vol. 64(2), pages 405-422, June.
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    2. Goodstein, Ryan M. & Rhine, Sherrie L.W., 2017. "The effects of bank and nonbank provider locations on household use of financial transaction services," Journal of Banking & Finance, Elsevier, vol. 78(C), pages 91-107.
    3. Andrea Marchini & Chiara Riganelli & Francesco Diotallevi & Bianca Polenzani, 2021. "Label information and consumer behaviour: evidence on drinking milk sector," Agricultural and Food Economics, Springer;Italian Society of Agricultural Economics (SIDEA), vol. 9(1), pages 1-24, December.
    4. Nie, Wenjing & Li, Taiping & Zhu, Liqun, 2020. "Market demand and government regulation for quality grading system of agricultural products in China," Journal of Retailing and Consumer Services, Elsevier, vol. 56(C).
    5. Marescotti, Maria Elena & Caputo, Vincenzina & Demartini, Eugenio & Gaviglio, Anna, 2020. "Consumer preferences for wild game cured meat label: do attitudes towards animal welfare matter?," International Food and Agribusiness Management Review, International Food and Agribusiness Management Association, vol. 23(4), June.

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