IDEAS home Printed from https://ideas.repec.org/a/hin/complx/5724925.html
   My bibliography  Save this article

A Network Diffusion Model of Food Safety Scare Behavior considering Information Transparency

Author

Listed:
  • Tingqiang Chen
  • Lei Wang
  • Jining Wang
  • Qi Yang

Abstract

This study constructs the network diffusion model of food safety scare behavior under the effect of information transparency and examines the network topology and evolution characteristics of food safety scare behavior in a numerical simulation. The main conclusions of this study are as follows. (1) Under the effect of information transparency, the network degree distribution of food safety scare behavior diffusion demonstrates the decreasing characteristics of diminishing margins. (2) Food safety scare behavior diffusion increases with the information dissemination rate and consumer concern about food safety incidents and shows the characteristics of monotone increasing. And with the increasing of the government food safety supervision information transparency and media food safety supervision information transparency, the whole is declining characteristic of diminishing marginal. In addition, the extinction of food safety scare behavior cannot be achieved gradually given a single regulation of government food safety supervision information transparency and media food safety supervision information transparency. (3) The interaction effects between improving government food safety supervision information transparency or media food safety supervision information transparency and declining consumer concerns about food safety incidents or information transmission rate can engender the suppression of food safety scare behavior diffusion.

Suggested Citation

  • Tingqiang Chen & Lei Wang & Jining Wang & Qi Yang, 2017. "A Network Diffusion Model of Food Safety Scare Behavior considering Information Transparency," Complexity, Hindawi, vol. 2017, pages 1-16, December.
    • Handle: RePEc:hin:complx:5724925
    DOI: 10.1155/2017/5724925
    as

    Download full text from publisher

    File URL: http://downloads.hindawi.com/journals/8503/2017/5724925.pdf
    Download Restriction: no
    File URL: http://downloads.hindawi.com/journals/8503/2017/5724925.xml
    Download Restriction: no
    File URL: https://libkey.io/10.1155/2017/5724925?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. Tingqiang Chen & Xindan Li & Jining Wang, 2015. "Spatial Interaction Model of Credit Risk Contagion in the CRT Market," Computational Economics, Springer;Society for Computational Economics, vol. 46(4), pages 519-537, December.
    2. Li, Tongzhe & Bernard, John C. & Johnston, Zachary A. & Messer, Kent D. & Kaiser, Harry M., 2017. "Consumer preferences before and after a food safety scare: An experimental analysis of the 2010 egg recall," Food Policy, Elsevier, vol. 66(C), pages 25-34.
    3. Li, Shuping & Jin, Zhen, 2015. "Dynamic modeling and analysis of sexually transmitted diseases on heterogeneous networks," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 427(C), pages 192-201.
    4. Ragnar E. Lofstedt, 2006. "How can we Make Food Risk Communication Better: Where are we and Where are we Going?," Journal of Risk Research, Taylor & Francis Journals, vol. 9(8), pages 869-890, December.
    5. Fousekis, Panos & Revell, Brian J., 2000. "Meat Demand in the UK: A Differential Approach," Journal of Agricultural and Applied Economics, Cambridge University Press, vol. 32(1), pages 11-19, April.
    6. Botshabelo Kealesitse & Ivy Ontlametse Kabama, 2012. "Exploring the Influence of Quality and Safety on Consumers¡¯ Food Purchase Decisions in Botswana," International Journal of Business Administration, International Journal of Business Administration, Sciedu Press, vol. 3(2), pages 90-97, March.
    7. Glynn T. Tonsor, 2011. "Consumer inferences of food safety and quality," European Review of Agricultural Economics, Oxford University Press and the European Agricultural and Applied Economics Publications Foundation, vol. 38(2), pages 213-235, June.
    8. Rode, Johannes & Weber, Alexander, 2016. "Does localized imitation drive technology adoption? A case study on rooftop photovoltaic systems in Germany," Journal of Environmental Economics and Management, Elsevier, vol. 78(C), pages 38-48.
    9. Andrew G. Long & Justin J. Kastner & Raymond Kassatly, 2013. "Is Food Security a New Tariff? Explaining Changes in Sanitary and Phytosanitary Regulations by World Trade Organization Members," Global Economy Journal (GEJ), World Scientific Publishing Co. Pte. Ltd., vol. 13(1), pages 25-46, April.
    10. Julie A. Caswell & Eliza M. Mojduszka, 1996. "Using Informational Labeling to Influence the Market for Quality in Food Products," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 78(5), pages 1248-1253.
    11. Zaman, Gul & Kang, Yong Han & Cho, Giphil & Jung, Il Hyo, 2017. "Optimal strategy of vaccination & treatment in an SIR epidemic model," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 136(C), pages 63-77.
    12. Giorno, Virginia & Spina, Serena, 2016. "Rumor spreading models with random denials," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 461(C), pages 569-576.
    13. Abdelkader Derbali & Slaheddine Hallara, 2016. "Measuring systemic risk of Greek banks: New approach by using the epidemic model “SEIR”," Cogent Business & Management, Taylor & Francis Journals, vol. 3(1), pages 1153864-115, December.
    14. Mario Mazzocchi & Alexandra Lobb & W. Bruce Traill & Alessio Cavicchi, 2008. "Food Scares and Trust: A European Study," Journal of Agricultural Economics, Wiley Blackwell, vol. 59(1), pages 2-24, February.
    15. Rode, Johannes & Weber, Alexander, 2016. "Does localized imitation drive technology adoption? A case study on rooftop photovoltaic systems in Germany," Journal of Environmental Economics and Management, Elsevier, vol. 78(C), pages 38-48.
    16. Cope, S. & Frewer, L.J. & Houghton, J. & Rowe, G. & Fischer, A.R.H. & de Jonge, J., 2010. "Consumer perceptions of best practice in food risk communication and management: Implications for risk analysis policy," Food Policy, Elsevier, vol. 35(4), pages 349-357, August.
    17. Long Andrew G. & Kastner Justin J. & Kassatly Raymond, 2013. "Is Food Security a New Tariff? Explaining Changes in Sanitary and Phytosanitary Regulations by World Trade Organization Members," Global Economy Journal, De Gruyter, vol. 13(1), pages 25-46, January.
    18. Xiaobing Feng & Haibo Hu, 2013. "Measurement And Internalization Of Systemic Risk In A Global Banking Network," International Journal of Modern Physics C (IJMPC), World Scientific Publishing Co. Pte. Ltd., vol. 24(01), pages 1-15.
    19. repec:ath:journl:tome:29:v:1:y:2013:i:29:p:53-67 is not listed on IDEAS
    20. Klaus G. Grunert, 2005. "Food quality and safety: consumer perception and demand," European Review of Agricultural Economics, Oxford University Press and the European Agricultural and Applied Economics Publications Foundation, vol. 32(3), pages 369-391, September.
    21. Skaza, Jonathan & Blais, Brian, 2017. "Modeling the infectiousness of Twitter hashtags," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 465(C), pages 289-296.
    22. Liu, Yu & Wang, Bai & Wu, Bin & Shang, Suiming & Zhang, Yunlei & Shi, Chuan, 2016. "Characterizing super-spreading in microblog: An epidemic-based information propagation model," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 463(C), pages 202-218.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Qi Yang & Yuejuan Hou & Haoran Wei & Tingqiang Chen & Jining Wang, 2022. "Nonlinear Diffusion Evolution Model of Unethical Behavior among Green Food Enterprise," Sustainability, MDPI, vol. 14(23), pages 1-22, December.
    2. Wang, Lei & Li, Shouwei & Chen, Tingqiang, 2019. "Investor behavior, information disclosure strategy and counterparty credit risk contagion," Chaos, Solitons & Fractals, Elsevier, vol. 119(C), pages 37-49.
    3. Jun Luo & Jiepeng Wang & Yongle Zhao & Tingqiang Chen, 2018. "Scare Behavior Diffusion Model of Health Food Safety Based on Complex Network," Complexity, Hindawi, vol. 2018, pages 1-14, November.
    4. Yue Dong & Jiepeng Wang & Tingqiang Chen, 2019. "Price Linkage Rumors in the Stock Market and Investor Risk Contagion on Bilayer-Coupled Networks," Complexity, Hindawi, vol. 2019, pages 1-21, April.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Jun Luo & Jiepeng Wang & Yongle Zhao & Tingqiang Chen, 2018. "Scare Behavior Diffusion Model of Health Food Safety Based on Complex Network," Complexity, Hindawi, vol. 2018, pages 1-14, November.
    2. Qi Yang & Yuejuan Hou & Haoran Wei & Tingqiang Chen & Jining Wang, 2022. "Nonlinear Diffusion Evolution Model of Unethical Behavior among Green Food Enterprise," Sustainability, MDPI, vol. 14(23), pages 1-22, December.
    3. Wang, Lei & Li, Shouwei & Chen, Tingqiang, 2019. "Investor behavior, information disclosure strategy and counterparty credit risk contagion," Chaos, Solitons & Fractals, Elsevier, vol. 119(C), pages 37-49.
    4. Irz, Xavier & Mazzocchi, Mario & Réquillart, Vincent & Soler, Louis-Georges, 2015. "Research in Food Economics: past trends and new challenges," Revue d'Etudes en Agriculture et Environnement, Editions NecPlus, vol. 96(01), pages 187-237, March.
    5. Ying Zhu & Xiaowei Wen & May Chu & Gongliang Zhang & Xuefan Liu, 2021. "Consumers’ Food Safety Risk Communication on Social Media Following the Suan Tang Zi Accident: An Extended Protection Motivation Theory Perspective," IJERPH, MDPI, vol. 18(15), pages 1-19, July.
    6. Banterle, Alessandro & Cavaliere, Alessia & Ricci, Elena Claire, 2012. "Food labelled Information: An Empirical Analysis of Consumer Preferences," 2012 International European Forum, February 13-17, 2012, Innsbruck-Igls, Austria 144960, International European Forum on System Dynamics and Innovation in Food Networks.
    7. Banterle, Alessandro & Cavaliere, Alessia & Ricci, Elena Claire, 2013. "Food Labelled Information: An Empirical Analysis," International Journal on Food System Dynamics, International Center for Management, Communication, and Research, vol. 3(2), pages 1-15, January.
    8. Curzi, Daniele & Raimondi, Valentina & Olper, Alessandro, 2013. "Quality Upgrading, Competition and Trade Policy: Evidence from the Agri-Food Sector," 2013: Productivity and Its Impacts on Global Trade, June 2-4, 2013. Seville, Spain 152386, International Agricultural Trade Research Consortium.
    9. Klein, Martin & Deissenroth, Marc, 2017. "When do households invest in solar photovoltaics? An application of prospect theory," Energy Policy, Elsevier, vol. 109(C), pages 270-278.
    10. Neij, Lena & Heiskanen, Eva & Strupeit, Lars, 2017. "The deployment of new energy technologies and the need for local learning," Energy Policy, Elsevier, vol. 101(C), pages 274-283.
    11. Ramo Barrena & Mercedes Sánchez, 2012. "Abstraction and product categories as explanatory variables for food consumption," Applied Economics, Taylor & Francis Journals, vol. 44(30), pages 3987-4003, October.
    12. Edouard Civel & Marc Baudry, 2018. "The Fate of Inventions. What can we learn from Bayesian learning in strategic options model of adoption ?," EconomiX Working Papers 2018-47, University of Paris Nanterre, EconomiX.
    13. repec:hal:spmain:info:hdl:2441/6d7es28iae9pjoil7092hs41h3 is not listed on IDEAS
    14. Wang, Haoluan, 2021. "Flood Your Neighbors: Spillover Effects of Levee Building," 95th Annual Conference, March 29-30, 2021, Warwick, UK (Hybrid) 311091, Agricultural Economics Society - AES.
    15. Stefan Lamp, 2023. "Sunspots That Matter: The Effect of Weather on Solar Technology Adoption," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 84(4), pages 1179-1219, April.
    16. Rode, Johannes & Müller, Sven, 2016. "Spatio-Temporal Variation in Peer Effects - The Case of Rooftop Photovoltaic Systems in Germany," Publications of Darmstadt Technical University, Institute for Business Studies (BWL) 84765, Darmstadt Technical University, Department of Business Administration, Economics and Law, Institute for Business Studies (BWL).
    17. Woo, JongRoul & Moon, Sungho & Choi, Hyunhong, 2022. "Economic value and acceptability of advanced solar power systems for multi-unit residential buildings: The case of South Korea," Applied Energy, Elsevier, vol. 324(C).
    18. Lan, Haifeng & Gou, Zhonghua & Lu, Yi, 2021. "Machine learning approach to understand regional disparity of residential solar adoption in Australia," Renewable and Sustainable Energy Reviews, Elsevier, vol. 136(C).
    19. Gabriel S. Sampson & Edward D. Perry, 2019. "Peer effects in the diffusion of water‐saving agricultural technologies," Agricultural Economics, International Association of Agricultural Economists, vol. 50(6), pages 693-706, November.
    20. Zhou, Li & Turvey, Calum & Hu, Wuyang & Ying, Ruiyao, 2015. "Fear and Trust: How Risk Perceptions of Avian Influenza Affect the Demand for Chicken," 2015 AAEA & WAEA Joint Annual Meeting, July 26-28, San Francisco, California 202077, Agricultural and Applied Economics Association.
    21. Andrea Marchini & Chiara Riganelli & Francesco Diotallevi & Bianca Polenzani, 2021. "Label information and consumer behaviour: evidence on drinking milk sector," Agricultural and Food Economics, Springer;Italian Society of Agricultural Economics (SIDEA), vol. 9(1), pages 1-24, December.

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:hin:complx:5724925. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Mohamed Abdelhakeem (email available below). General contact details of provider: https://www.hindawi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.