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Does Online Public Opinion Regarding Swine Epidemic Diseases Influence Fluctuations in Pork Prices?—An Analysis Based on TVP-VAR and LDA Models

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  • Fei Li

    (Institute of Agricultural Information, Chinese Academy of Agricultural Sciences/Key Laboratory of Big Data in Agriculture, Ministry of Agriculture and Rural Affairs, Beijing 100081, China)

  • Huishang Li

    (Institute of Agricultural Information, Chinese Academy of Agricultural Sciences/Key Laboratory of Big Data in Agriculture, Ministry of Agriculture and Rural Affairs, Beijing 100081, China)

  • Xin Dai

    (Institute of Agricultural Information, Chinese Academy of Agricultural Sciences/Key Laboratory of Big Data in Agriculture, Ministry of Agriculture and Rural Affairs, Beijing 100081, China)

  • Hongjie Ren

    (Institute of Agricultural Information, Chinese Academy of Agricultural Sciences/Key Laboratory of Big Data in Agriculture, Ministry of Agriculture and Rural Affairs, Beijing 100081, China)

  • Huaiyang Li

    (Institute of Agricultural Information, Chinese Academy of Agricultural Sciences/Key Laboratory of Big Data in Agriculture, Ministry of Agriculture and Rural Affairs, Beijing 100081, China)

Abstract

In modern society with a highly developed Internet, online public opinions on swine epidemic diseases have become one of the important influencing factors for the fluctuation of pork prices. In this paper, the Baidu AI large model, Time-Varying Parameter-Stochastic Volatility-Vector Auto Regression (TVP-VAR) and Latent Dirichlet allocation (LDA) approaches are employed to investigate the dynamic impact of online public opinion regarding live swine epidemic diseases on fluctuations in pork price. The results show that: (1) Online public attention and negative sentiment exert significant time-varying impacts on pork price fluctuations, with these impacts being most pronounced in the short term and gradually diminishing over the medium and long term. (2) During the outbreaks of swine epidemic diseases, the impulse impact of online public attention and negative sentiment on pork price fluctuations exhibits distinct stage-specific characteristics. Initially, the impact is negative and subsequently turns positive before eventually waning. (3) The online discourse surrounding swine epidemic diseases can be categorized into four topics including disease transmission, vaccine technology, industry development, and disease prevention and control. Online public attention towards these four topics associated with negative sentiments generally contributes to variations in pork prices. Based on findings, several policy recommendations are proposed, including the timely release of swine epidemic disease information, the establishment and enhancement of the online public opinion monitoring and early warning system, as well as adherence to routine prevention and control of pig epidemic diseases.

Suggested Citation

  • Fei Li & Huishang Li & Xin Dai & Hongjie Ren & Huaiyang Li, 2025. "Does Online Public Opinion Regarding Swine Epidemic Diseases Influence Fluctuations in Pork Prices?—An Analysis Based on TVP-VAR and LDA Models," Agriculture, MDPI, vol. 15(7), pages 1-23, March.
    • Handle: RePEc:gam:jagris:v:15:y:2025:i:7:p:730-:d:1623131
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    References listed on IDEAS

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    1. Lan Yi & Jianping Tao & Caifeng Tan & Zhongkun Zhu, 2019. "Avian Influenza, Public Opinion, and Risk Spillover: Measurement, Theory, and Evidence from China’s Broiler Market," Sustainability, MDPI, vol. 11(8), pages 1-44, April.
    2. Jie Pang & Juan Yin & Guangchang Lu & Shimei Li, 2023. "Supply and Demand Changes, Pig Epidemic Shocks, and Pork Price Fluctuations: An Empirical Study Based on an SVAR Model," Sustainability, MDPI, vol. 15(17), pages 1-16, August.
    3. Wang, Kai-Hua & Zhao, Yan-Xin & Jiang, Cui-Feng & Li, Zheng-Zheng, 2022. "Does green finance inspire sustainable development? Evidence from a global perspective," Economic Analysis and Policy, Elsevier, vol. 75(C), pages 412-426.
    4. Xingchen Lv & Jun Meng & Qiufeng Wu, 2022. "Dynamic Influence of Network Public Opinions on Price Fluctuation of Small Agricultural Products Based on NLP-TVP-VAR Model—Taking Garlic as an Example," Sustainability, MDPI, vol. 14(14), pages 1-21, July.
    5. Wei, Xinjie & Lin, Wanlong & Hennessy, David A., 2015. "Biosecurity and disease management in China’s animal agriculture sector," Food Policy, Elsevier, vol. 54(C), pages 52-64.
    6. Kashyap, Pratyoosh & Suter, Jordan F. & McKee, Sophie C., 2024. "Measuring changes in pork demand, welfare effects, and the role of information sources in the event of an African swine fever outbreak in the United States," Food Policy, Elsevier, vol. 126(C).
    7. Hassouneh, Islam & Radwan, Amr & Serra, Teresa & Gil, José M., 2012. "Food scare crises and developing countries: The impact of avian influenza on vertical price transmission in the Egyptian poultry sector," Food Policy, Elsevier, vol. 37(3), pages 264-274.
    8. Yadavalli, Anita & Jones, Keithly, 2014. "Does media influence consumer demand? The case of lean finely textured beef in the United States," Food Policy, Elsevier, vol. 49(P1), pages 219-227.
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