Influence Relationship between Online News Articles and the Consumer Selling Price of Agricultural Products—Focusing on Onions

Jiyoung Ha, Seunghyun Lee () and Sangtae Kim
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Jiyoung Ha: Global & Business Inc., Gwangju 61089, Republic of Korea
Seunghyun Lee: Global & Business Inc., Gwangju 61089, Republic of Korea
Sangtae Kim: Department of Food Industrial Management, Dongguk National University, Seoul 04620, Republic of Korea

Agriculture, 2023, vol. 13, issue 9, 1-13

Abstract: This study aimed to verify the influence relationship between the news articles on onions produced in Korea and the consumer selling price of onions. The analysis methods were the LDA topic modeling technique and the multiple regression analysis. As a result of the analysis, a total of eight topics were found in onion-related news articles. This study analyzed which articles out of the eight topics affected the consumer selling price of onions. As a result, Topic 1 (hypermarket onion sales-related articles), Topic 5 (onion supply and demand stabilization measures), and Topic 6 (inflation) had a statistically significant influence relationship. These results meant that as the number of hypermarket-related articles increased, the consumer selling price increased, and as the macroeconomic articles such as supply and demand stabilization measures and inflation increased, the selling price decreased. The significance of this study was that it revealed that news articles related to onions did not affect the selling price in the consumer market as a whole, and that only the articles directly related to the consumption market (distributors, macroeconomic indicators, etc.) had an effect.

Keywords: onions; online news article; LDA (Latent Dirichlet Allocation); topic modeling (search for similar items in EconPapers)
JEL-codes: Q1 Q10 Q11 Q12 Q13 Q14 Q15 Q16 Q17 Q18 (search for similar items in EconPapers)
Date: 2023
References: View complete reference list from CitEc
Citations: View citations in EconPapers (1)

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