Korean J Community Nutr.  1999 Dec;4(4):587-593.

Price Elasticity Analysis of University Students in Foodservice Operations for Pricing Policy

Affiliations
  • 1Department of Food and Nutrition, Yonsei University, Seoul, Korea.
  • 2The Graduate School of human Environmental Sciences, Yonsei University, Seoul, Korea.

Abstract

The purpose of this study were to : (a) analyzed price elasticity of university students in foodservice operations and (b)provide insight for price decision-making. Questionnaires were composed of price elasticity, the utilization and opinions of students on university foodservice operations, and demographic information regarding respondents. The questionnaires were distributed to 600 university students of 6 universities located in Seoul. Statistical data analysis was completed using the SAS package for descriptive analysis, t-test, ANOVA, and Pearson's correlation. The results of this study can be summarized as follows: The average price for lunch was 1,663 won for campus food, and 2,965 won for off-campus restaurants. The frequency of utilizing the university cafeteria was fairly high. Students felt that the proper price for lunch was 1,446 won, presenting a lower price than the actual average price for lunch. The price elasticity was investigated in relation to the change in utilization rate when these was a price increase. The price elasticity was 2.03, with significant differences between sex, age, and major. The groups utilizing the university cafeteria frequently, taking longer time to go to off-campus or that were satisfied with the university cafeteria, had a lower price elasticity than those that did not. The results of this study suggest that predicting the price elasticity of the target market would assist the pricing policy, and the fact that the same students have different price elasticity by place and atmosphere can be used in marketing strategies.

Keyword

price elasticity; satisfaction; pricing; university cafeteria

MeSH Terms

Atmosphere
Surveys and Questionnaires
Data Interpretation, Statistical
Elasticity*
Humans
Lunch
Marketing
Restaurants
Seoul
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