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Negative Media Sentiment about the Pig Epidemic and Pork Price Fluctuations: A Study on Spatial Spillover Effect and Mechanism

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  • Chi Ma

    (College of Economics & Management, Huazhong Agricultural University, Wuhan 430070, China
    Hubei Rural Development Research Center, Huazhong Agricultural University, Wuhan 430070, China)

  • Jianping Tao

    (College of Economics & Management, Huazhong Agricultural University, Wuhan 430070, China
    Hubei Rural Development Research Center, Huazhong Agricultural University, Wuhan 430070, China)

  • Caifeng Tan

    (College of Economics & Management, Huazhong Agricultural University, Wuhan 430070, China
    Hubei Rural Development Research Center, Huazhong Agricultural University, Wuhan 430070, China
    Department of Agricultural and Resource Economics, North Carolina State University, Raleigh, NC 27695, USA)

  • Wei Liu

    (College of Economics & Management, Huazhong Agricultural University, Wuhan 430070, China
    Hubei Rural Development Research Center, Huazhong Agricultural University, Wuhan 430070, China)

  • Xia Li

    (College of Economics & Management, Huazhong Agricultural University, Wuhan 430070, China
    Hubei Rural Development Research Center, Huazhong Agricultural University, Wuhan 430070, China)

Abstract

As the media have continued to pay increasing attention to pig epidemic events, some local pig epidemic events may have a large degree of negative impact on the pork market and the whole pig industry chain, leading to pork price fluctuations. Strengthening pig epidemic control, monitoring media reporting sentiment, and stabilizing pork price fluctuations are important measures to improve the economy and people’s livelihood. This paper sets out to identify the relationship between the negative media sentiment about the pig epidemic and the market risk of pork prices within a setting with pig epidemic risk. Based on the provincial panel data of China from January 2011 to December 2022, this paper uses the spatial panel Durbin model to investigate the impact of negative media sentiment about the pig epidemic on pork price fluctuations from the perspective of local and spillover effects, and further discusses the mechanism of consumer sentiment. The empirical results show that: (1) The negative media sentiment about the pig epidemic significantly exacerbates pork price fluctuations, and there is a single threshold effect, which is weakened after crossing the threshold value. (2) The negative media sentiment about the pig epidemic has a significant positive spillover effect on pork price fluctuations, showing the characteristics of “being a neighbor”. The spatial spillover effect shows a significant spatial attenuation feature and an inverted U-shaped change with the inflection point at 1400 km. (3) The effect is related to the heterogeneity of media reputation. The local aggravation effect of local media’s negative sentiment on pork price fluctuations is greater than that of central media and information network platforms. In terms of the spatial spillover effect, the negative sentiment of the information network platforms has the strongest effect on the aggravation of pork price fluctuations in neighboring regions. (4) The mechanism study finds that the negative media sentiment about the pig epidemic positively affects pork price fluctuations through the path of “consumer sentiment”. Therefore, this research recommends that the government department should strengthen the supervision of media sentiment about the pig epidemic and reasonably guide consumer sentiment to stabilize the pork market.

Suggested Citation

  • Chi Ma & Jianping Tao & Caifeng Tan & Wei Liu & Xia Li, 2023. "Negative Media Sentiment about the Pig Epidemic and Pork Price Fluctuations: A Study on Spatial Spillover Effect and Mechanism," Agriculture, MDPI, vol. 13(3), pages 1-23, March.
    • Handle: RePEc:gam:jagris:v:13:y:2023:i:3:p:658-:d:1094452
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    1. Oral Capps Jr. & Sergio Colin‐Castillo & Manuel A. Hernandez, 2013. "Do Marketing Margins Change with Food Scares? Examining the Effects of Food Recalls and Disease Outbreaks in the U.S. Red Meat Industry," Agribusiness, John Wiley & Sons, Ltd., vol. 29(4), pages 426-454, September.
    2. Peng, Yala & Li, Jiajie & Xia, Hui & Qi, Siyuan & Li, Jianhong, 2015. "The effects of food safety issues released by we media on consumers’ awareness and purchasing behavior: A case study in China," Food Policy, Elsevier, vol. 51(C), pages 44-52.
    3. Liu, Peng & Ma, Liang, 2016. "Food scandals, media exposure, and citizens’ safety concerns: A multilevel analysis across Chinese cities," Food Policy, Elsevier, vol. 63(C), pages 102-111.
    4. Glynn T. Tonsor & Nicole J. Olynk, 2011. "Impacts of Animal Well‐Being and Welfare Media on Meat Demand," Journal of Agricultural Economics, Wiley Blackwell, vol. 62(1), pages 59-72, February.
    5. 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.
    6. Tonsor, Glynn T. & Mintert, James R. & Schroeder, Ted C., 2010. "U.S. Meat Demand: Household Dynamics and Media Information Impacts," Journal of Agricultural and Resource Economics, Western Agricultural Economics Association, vol. 35(1), pages 1-17.
    7. Pan, Xiongfeng & Guo, Shucen & Li, Mengna & Song, Jinbo, 2021. "The effect of technology infrastructure investment on technological innovation ——A study based on spatial durbin model," Technovation, Elsevier, vol. 107(C).
    8. M. P. McCullough & T. L. Marsh & R. Huffaker, 2013. "Reconstructing market reactions to consumption harms," Applied Economics Letters, Taylor & Francis Journals, vol. 20(2), pages 173-179, February.
    9. Jie Ren & Hang Dong & Balaji Padmanabhan & Jeffrey V. Nickerson, 2021. "How does social media sentiment impact mass media sentiment? A study of news in the financial markets," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 72(9), pages 1183-1197, September.
    10. 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.
    11. Ying (Jessica) Cao & David R. Just & Calum Turvey & Brian Wansink, 2015. "Existing Food Habits and Recent Choices Lead to Disregard of Food Safety Announcements," Canadian Journal of Agricultural Economics/Revue canadienne d'agroeconomie, Canadian Agricultural Economics Society/Societe canadienne d'agroeconomie, vol. 63(4), pages 491-511, December.
    12. Akyildirim, Erdinc & Cepni, Oguzhan & Pham, Linh & Uddin, Gazi Salah, 2022. "How connected is the agricultural commodity market to the news-based investor sentiment?," Energy Economics, Elsevier, vol. 113(C).
    13. Robert G. Chambers & Tigran A. Melkonyan, 2013. "Food Scares In An Uncertain World," Journal of the European Economic Association, European Economic Association, vol. 11(6), pages 1432-1456, December.
    14. Leigh J. Maynard & Ellen Goddard & John Conley, 2008. "Impact of BSE on Beef Purchases in Alberta and Ontario Quick‐Serve Restaurants," Canadian Journal of Agricultural Economics/Revue canadienne d'agroeconomie, Canadian Agricultural Economics Society/Societe canadienne d'agroeconomie, vol. 56(3), pages 337-351, September.
    15. Chia-Wei Chen & Christos Pantzalis & Jung Chul Park, 2013. "Press Coverage And Stock Price Deviation From Fundamental Value," Journal of Financial Research, Southern Finance Association;Southwestern Finance Association, vol. 36(2), pages 175-214, June.
    16. Roger E. Kasperson & Ortwin Renn & Paul Slovic & Halina S. Brown & Jacque Emel & Robert Goble & Jeanne X. Kasperson & Samuel Ratick, 1988. "The Social Amplification of Risk: A Conceptual Framework," Risk Analysis, John Wiley & Sons, vol. 8(2), pages 177-187, June.
    17. Martin Browning & Lars Gårn Hansen & Sinne Smed, 2019. "Heterogeneous Consumer Reactions to Health News," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 101(2), pages 579-599.
    18. William J. Burns & Paul Slovic, 2012. "Risk Perception and Behaviors: Anticipating and Responding to Crises," Risk Analysis, John Wiley & Sons, vol. 32(4), pages 579-582, April.
    19. Liu, Yunqiang & Liu, Sha & Ye, Deping & Tang, Hong & Wang, Fang, 2022. "Dynamic impact of negative public sentiment on agricultural product prices during COVID-19," Journal of Retailing and Consumer Services, Elsevier, vol. 64(C).
    20. Pieniak, Zuzanna & Vanhonacker, Filiep & Verbeke, Wim, 2013. "Consumer knowledge and use of information about fish and aquaculture," Food Policy, Elsevier, vol. 40(C), pages 25-30.
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    Cited by:

    1. 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.

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