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2021년 11권 11호 p.1 ~ p.10
Threshold Effects of Infectious Disease Outbreaks on Livestock Prices: Cases of African Swine Fever and Avian Influenza in South Korea
Threshold Effects of Infectious Disease Outbreaks on Livestock Prices: Cases of African Swine Fever and Avian Influenza in South Korea
HyungChul Rah
Hyeon-Woong Kim, Aziz Nasridinov, Wan-Sup Cho, SeokHwa Choi andKwan-Hee Yoo
- Abstract -
Published Date: 31 May 2021
Impact Factor : 2.679(2020)
ISSN 2076-3417

In this paper we demonstrate the threshold effects of infectious diseases on livestock prices. Daily retail prices of pork and chicken were used as structured data; news and SNS mentions of African Swine Fever (ASF) and Avian Influenza (AI) were used as unstructured data. Models were tested for the threshold effects of disease-related news and SNS frequencies, specifically those related to ASF and AI, on the retail prices of pork and chicken, respectively. The effects were found to exist, and the values of ASF-related news on pork prices were estimated to be −9 and 8, indicating that the threshold autoregressive (TAR) model can be divided into three regimes. The coefficients of the ASF-related SNS frequencies on pork prices were 1.1666, 0.2663 and −0.1035 for regimes 1, 2 and 3, respectively, suggesting that pork prices increased by 1.1666 Korean won in regime 1 when ASF-related SNS frequencies increased. To promote pork consumption by SNS posts, the required SNS frequencies were estimated to have impacts as great as one standard deviation in the pork price. These values were 247.057, 1309.158 and 2817.266 for regimes 1, 2 and 3, respectively. The impact response periods for pork prices were estimated to last 48, 6, and 8 days for regimes 1, 2 and 3, respectively. When the prediction accuracies of the TAR and autoregressive (AR) models with regard to pork prices were compared for the root mean square error, the prediction accuracy of the TAR model was found to be slightly better than that of the AR. When the threshold effect of AI-related news on chicken prices was tested, a linear relationship appeared without a threshold effect. These findings suggest that when infectious diseases such as ASF occur for the first time, the impact on livestock prices is significant, as indicated by the threshold effect and the long impact response period. Our findings also suggest that the impact on livestock prices is not remarkable when infectious diseases occur multiple times, as in the case of AI. To date, this study is the first to suggest the use of SNS to promote meat consumption.
- Key Words -
threshold effect, infectious disease outbreak, African Swine Fever, big data
threshold effect, infectious disease outbreak, African Swine Fever, big data
- 논문 구분 -
국외전문학술지, SCI(E)
- 사사 정보 -
The authors thank the “Cooperative Research Program for Agriculture Science and Technology Development (Project No. PJ015341012021 and PJ016208012021)” of the Rural Development Administration, Republic of Korea, and the Basic Science Research Program of the National Research Foundation of Korea (NRF) funded by the Ministry of Education (Grant number: 2020R1I1A1A01071884).
- Downloads -
applsci-11-05114.pdf