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Journal of Integrative Agriculture  2019, Vol. 18 Issue (8): 1804-1809    DOI: 10.1016/S2095-3119(19)62586-4
Special Focus: Food economics and policies Advanced Online Publication | Current Issue | Archive | Adv Search |
Are social embeddedness associated with food risk perception under media coverage?
YAN Zhen, HUANG Zu-hui, WANG Yu, ZHOU Jie-hong
Center of Agricultural and Rural Development, School of Public Affairs, Zhejiang University, Hangzhou, 310058, P.R.China
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Abstract  
Traceability system has received wide attention in solving food safety issues, via which food information could be tracked back to producer/farmers.  Consumers need to obtain this information from producers or social networks, trust in the information,  and consequently assess perceived risks, especially when food scandals are exposed to the media.  In this study, we introduce the social embeddedness theory to understand how consumers’ social activities affect their risk perceptions on traceable food.  Specifically, we investigate how risk perceptions are predicted by the interpersonal relationships, organizational level and social-level relationships.  Results show that the interpersonal relationships were associated with lower levels of risk perceptions, while organizational and social relationships impacted consumer’s risk perceptions at middle and higher levels, respectively.  Results also show that the “ripple effect” extended to effect of risk events with negative information, however, did not exist for the group exposed to positive information.  Potential food safety implications have been proposed to identify for effective risk mitigation under media coverages.
Keywords:   food safety        social relationship              risk perception              media coverage        embeddedness  
Received: 27 April 2018   Accepted:
Fund: We are grateful for support from the National Natural Science Foundation of China (71773109, 71703150 and 71633002), and the support from the Fundamental Research Funds for the Central Universities, China.
Corresponding Authors:  Correspondence ZHOU Jie-hong, E-mail: runzhou@zju.edu.cn    
About author:  YAN Zhen, E-mail: yanzhen@zju.edu.cn;

Cite this article: 

YAN Zhen, HUANG Zu-hui, WANG Yu, ZHOU Jie-hong. 2019.

Are social embeddedness associated with food risk perception under media coverage?
. Journal of Integrative Agriculture, 18(8): 1804-1809.

Adesokan H K, Ocheja S E. 2014. Knowledge, attitudes and practices of traceability among livestock traders in south-western Nigeria: Implications for sustainable livestock industry. Tropical Animal Health and Production, 46, 159–165.
Antle J M. 2001. Economic analysis of food safety. In Gardner B L, Rausser G C, eds. Handbook of Agricultural Economics. North-Holland Publishing Co.,  Amsterdam. pp. 1083–1136.
Beckert J. 2003. Economic sociology and embeddedness: How shall we conceptualize economic action? Journal of Economic Issues, 37, 769–787.
Bei Z, Jiabao L, Renhuai L. 2016. Factors affecting the food firm’s intention to control quality safety in China: The moderating effect of government regulation. Chinese Management Studies, 10, 256–271.
Bikhchandani S, Hirshleifer D, Welch I. 1992. A theory of fads, fashion, custom, and cultural change as informational cascades. Journal of Political Economy, 100, 992–1026.
Bos E, Owen L. 2016. Virtual reconnection: The online spaces of alternative food networks in England. Journal of Rural Studies, 45, 1–14.
Bosona T, Gebresenbet G. 2013. Food traceability as an integral part of logistics management in food and agricultural supply chain. Food Control, 33, 32–48.
Boyd A D, Jardine C G, Driedger S M. 2009. Canadian media representations of mad cow disease. Journal of Toxicology and Environmental Health (Part A), 72, 1096–1105.
Brenkert-Smith H, Dickinson K L, Champ P A, Flores N. 2013. Social amplification of wildfire risk: The role of social interactions and information sources. Risk Analysis, 33, 800–817.
Bu Y. 2009. The social amplification of risk. Study and Practice, (2), 120–125. (in Chinese)
Burns W J, Slovic P, Kasperson R E, Kasperson J X, Renn O, Emani S. 1993. Incorporating structural models into research on the social amplification of risk: Implications for theory construction and decision making. Risk Analysis, 13, 611–623.
Canavari M, Centonze R, Hingley M, Spadoni R. 2010. Traceability as part of competitive strategy in the fruit supply chain. British Food Journal, 112, 171–186.
Chen Y, Yu X. 2018. Does the centralized slaughtering policy create market power for pork industry in China? China Economic Review, 50, 59–71.
Cropper S, Huxham C, Ebers M, Ring P S, Jones C, Lichtenstein B B. 2009. Temporary Inter-organizational Projects: How Temporal and Social Embeddedness Enhance Coordination and Manage Uncertainty. Oxford University Press, New York.
Cunningham S M. 1967. The major dimensions of perceived risk. Risk Taking and Information Handling in Consumer Behavior, 1, 82–111.
Dabbene F, Gay P, Tortia C. 2014. Traceability issues in food supply chain management: A review. Biosystems Engineering, 120, 65–80.
Delma P, Sharon P, Joanne S. 2015. Traceability systems in the Western Australia halal food supply chain. Asia Pacific Journal of Marketing and Logistics, 27, 324–348.
Donnelly K A M, Karlsen K M. 2010. Lessons from two case studies of implementing traceability in the dried salted fish industry. Journal of Aquatic Food Product Technology, 19, 38–47.
Dulsrud A, Norberg H M. 2006. Social Limits to Trust. The Significance of Embeddedness for Consumers Coping with Uncertainty. European Association of Agricultural Economists, Wageningen, Netherlands.
Fischhoff B, Slovic P, Lichtenstein S, Read S, Combs B. 1978. How safe is safe enough? A psychometric study of attitudes towards technological risks and benefits. Policy Sciences, 9, 127–152.
Frewer L. 1999. Risk perception, social trust, and public participation in strategic decision making: Implications for emerging technologies. Ambio, 28, 569–574.
Frewer L J, Miles S, Marsh R. 2002. The media and genetically modified foods: Evidence in support of social amplification of risk. Risk Analysis, 22, 701–711.
Giddens A. 2013. The Third Way: The Renewal of Social Democracy. John Wiley & Sons, New Jersey.
Goodman D. 2004. Rural Europe redux? Reflections on alternative agro-food networks and paradigm change. Sociologia Ruralis, 44, 3–16.
Granovetter M. 1983. The strength of weak ties: A network theory revisited. Sociological Theory, 1, 201–233.
Granovetter M. 1985. Economic action and social structure: The problem of embeddedness. American Journal of Sociology, 91, 481–510.
Granovetter M. 1992. Economic institutions as social constructions: A framework for analysis. Acta Sociologica, 35, 3–11.
Granovetter M. 2005. The impact of social structure on economic outcomes. The Journal of Economic Perspectives, 19, 33–50.
Griffiths S, Wallace J. 1998. Waist Not, Want Not. Chapter in Consuming Passions Food in the Age of Anxiety. Manchester University Press, Manchester.
Hao L, Naiman D. 2007. Quantile Regression. Sage Publications. Newbury Park, CA.
Hilverda F, Kuttschreuter M, Giebels E. 2017. Social media mediated interaction with peers, experts and anonymous authors: Conversation partner and message framing effects on risk perception and sense-making of organic food. Food Quality and Preference, 56, 107–118.
Hoban T J, Kendall P A. 1993. Consumer Attitudes about Food Biotechnology: Project Report. NC Cooperative Extension Service, NC State.
Hobbs J E. 2004. Information asymmetry and the role of traceability systems. Agribusiness, 20, 397–415.
Hu W. 2010. A study of consumer’s risk percetpion on food safety. Ph D thesis, Zhejiang University, China. (in Chinese)
Jacoby J, Kaplan L B. 1972. The components of perceived risk. Advances in Consumer Research, 3, 382–383.
Jessop B. 2001. Regulationist and autopoieticist reflections on Polanyi’s account of market economies and the market society. New Political Economy, 6, 213–232.
De Jonge J, Van Trijp H, Jan Renes R, Frewer L. 2007. Understanding consumer confidence in the safety of food: Its two-dimensional structure and determinants. Risk Analysis, 27, 729–740.
Kaptan G, Fischer A R H, Frewer L J. 2017. Extrapolating understanding of food risk perceptions to emerging food safety cases. Journal of Risk Research, 21, 1–23.
Kasperson J X, Kasperson R E. 2005. The Social Contours of Risk: Publics, Risk Communication and the Social Amplification of Risk (Vol. 1). Earthscan, London.
Kasperson J X, Kasperson R E. 2013. Global Environmental Risk. Routledge, New York, UK.
Kasperson R E. 1992. The Social Amplification of Risk: Progress in Developing an Integrative Framework. Praeger, Westport, Connecticut.
Kasperson R E, Renn O, Slovic P, Brown H S, Emel J, Goble R, Kasperson J X, Ratick S. 1988. The social amplification of risk: A conceptual framework. Risk Analysis, 8, 177–187.
Knox B. 2000. Consumer perception and understanding of risk from food. British Medical Bulletin, 56, 97–109.
Krippner G, Granovetter M, Block F, Biggart N, Beamish T, Hsing Y, Hart G, Arrighi G, Mendell M, Hall J. 2004. Polanyi symposium: A conversation on embeddedness. Socio-Economic Review, 2, 109–135.
Laros F J, Steenkamp J B E. 2004. Importance of fear in the case of genetically modified food. Psychology & Marketing, 21, 889–908.
Lassoued R, Hobbs J. 2015. Consumer confidence in credence attributes: The role of brand trust. Food Policy, 52, 99–107.
Lerner J S, Keltner D. 2000. Beyond valence: Toward a model of emotion-specific influences on judgement and choice. Cognition and Emotion, 14, 473–493.
Lewis R E, Tyshenko M G. 2009. The impact of social amplification and attenuation of risk and the public reaction to mad cow disease in Canada. Risk Analysis, 29, 714–728.
Liao P A, Chang H H, Chang C Y. 2011. Why is the food traceability system unsuccessful in Taiwan? Empirical evidence from a national survey of fruit and vegetable farmers. Food Policy, 36, 686–693.
Loewenstein G F, Weber E U, Hsee C K, Welch N. 2001. Risk as feelings. Psychological Bulletin, 127, 267.
McCluskey J J, Kalaitzandonakes N, Swinnen J. 2016. Media coverage, public perceptions, and consumer behavior: Insights from new food technologies. Annual Review of Resource Economics, 8, 467–486.
Meyer S B, Coveney J, Henderson J, Ward P R, Taylor A W. 2012. Reconnecting Australian consumers and producers: Identifying problems of distrust. Food Policy, 37, 634–640.
Migliore G, Schifani G, Guccione G D, Cembalo L. 2014. Food community networks as leverage for social embeddedness. Journal of Agricultural and Environmental Ethics, 27, 549–567.
Mou Y, Lin C A. 2014. Communicating food safety via the social media: The role of knowledge and emotions on risk perception and prevention. Science Communication, 36, 593–616.
Murdoch J, Marsden T, Banks J. 2000. Quality, nature, and embeddedness: Some theoretical considerations in the context of the food sector. Economic Geography, 76, 107–125.
Palmer A, Santo R, Berlin L, Bonanno A, Clancy K, Giesecke C, Hinrichs C, Lee R, McNab P, Rocker S. 2017. Between global and local: Exploring regional food systems from the perspectives of four communities in the U.S. Northeast. Journal of Agriculture, Food Systems, and Community Development, 7, 187–205.
Peng Y, Li J, Xia H, Qi S, Li J. 2015. The effects of food safety issues released by we media on consumers’ awareness and purchasing behavior: A case study in China. Food Policy, 51, 44–52.
Penker M. 2006. Mapping and measuring the ecological embeddedness of food supply chains. Geoforum, 37, 368–379.
Pidgeon N, Rogers-Hayden T. 2007. Opening up nanotechnology dialogue with the publics: Risk communication or ‘upstream engagement’? Health, Risk & Society, 9, 191–210.
Piggott N E, Marsh T L. 2004. Does food safety information impact US meat demand? American Journal of Agricultural Economics, 86, 154–174.
Polanyi K, Arensberg C M, Pearson H W. 1957. Trade and Market in the Early Empires: Economies in History and Theory. Free Press, New York. pp. 243–270.
Ponte S. 2016. Convention theory in the Anglophone agro-food literature: Past, present and future. Journal of Rural Studies, 44, 12–23.
Raynolds L T. 2009. Mainstreaming fair trade coffee: From partnership to traceability. World Development, 37, 1083–1093.
Regattieri A, Gamberi M, Manzini R. 2007. Traceability of food products: General framework and experimental evidence. Journal of Food Engineering, 81, 347–356.
Renn O, Levine D. 1991. Credibility and Trust in Risk Communication. In: Communicating Risks to the Public. Springer Netherlands, Dordrecht. pp. 175–217.
Renting H, Schermer M, Rossi A. 2012. Building food democracy: Exploring civic food networks and newly emerging forms of food citizenship. International Journal of Sociology of Agriculture and Food, 19, 289–307.
Rowe G, Frewer L J. 2000. Public participation methods: A framework for evaluation. Science, Technology & Human Values, 25, 3–29.
Rutsaert P, Pieniak Z, Regan Á, McConnon Á, Kuttschreuter M, Lores M, Lozano N, Guzzon A, Santare D, Verbeke W. 2014. Social media as a useful tool in food risk and benefit communication? A strategic orientation approach. Food Policy, 46, 84–93.
Salampasis M, Tektonidis D, Kalogianni E P. 2012. TraceALL: A semantic web framework for food traceability systems. Journal of Systems and Information Technology, 14, 302–317.
Schermer M. 2015. From “food from nowhere” to “food from here”: changing producer–consumer relations in Austria. Agriculture and Human Values, 32, 121–132.
Shiller R J. 2015. Irrational Exuberance. Princeton University Press, New Jersey.
Shim S M, Seo S H, Lee Y, Moon G I, Kim M S, Park J H. 2011. Consumers’ knowledge and safety perceptions of food additives: Evaluation on the effectiveness of transmitting information on preservatives. Food Control, 22, 1054–1060.
Sonnino R, Marsden T. 2006. Alternative food networks in the South West of England: Towards a new agrarian eco-economy? Research in Rural Sociology and Development, 12, 299–322.
Sporleder T L, Goldsmith P D. 2002. Network Embeddedness in the Food Supply Chain and Firm Strategy on Signaling Quality. Wageningen Academic Publisher, Netherlands.
Sporleder T L, Moss L E. 2002. Knowledge management in the global food system: Network embeddedness and social capital. American Journal of Agricultural Economics, 84, 1345–1352.
Stone R N, Grønhaug K. 1993. Perceived risk: Further considerations for the marketing discipline. European Journal of Marketing, 27, 39–50.
Tonkin E, Coveney J, Meyer S B, Wilson A M, Webb T. 2016. Managing uncertainty about food risks - Consumer use of food labelling. Appetite, 107, 242–252.
Townsend E, Clarke D D, Travis B. 2004. Effects of context and feelings on perceptions of genetically modified food. Risk Analysis, 24, 1369–1384.
Uzzi B. 1997. Social structure and competition in interfirm networks: The paradox of embeddedness. Administrative Science Quarterly, 42, 35–67.
Verdurme A, Viaene J. 2003. Consumer beliefs and attitude towards genetically modified food: Basis for segmentation and implications for communication. Agribusiness, 19, 91–113.
Wahlberg A A, Sjoberg L. 2000. Risk perception and the media. Journal of Risk Research, 3, 31–50.
Wang J, Yue H, Zhou Z. 2017. An improved traceability system for food quality assurance and evaluation based on fuzzy classification and neural network. Food Control, 79, 363–370.
Wilcock A, Pun M, Khanona J, Aung M. 2004. Consumer attitudes, knowledge and behaviour: a review of food safety issues. Trends in Food Science & Technology, 15, 56–66.
Winter M. 2003. Embeddedness, the new food economy and defensive localism. Journal of Rural Studies, 19, 23–32.
Wu Y. 2012. Information infrastructure, reputation mechanism and the optimization of law enforcement: A new view of food safety management. Social Sciences in China, 6, 115–133, 207. (in Chinese)
Yin S J, Li Y, Xu Y J, Chen M, Wang Y Q. 2017. Consumer preference and willingness to pay for the traceability information attribute of infant milk formula: Evidence from a choice experiment in China. British Food Journal, 119, 1276–1288.
Zhang W, Xue J. 2016. Economically motivated food fraud and adulteration in China: An analysis based on 1 553 media reports. Food Control, 67, 192–198.
Zhou J, Liu Q, Li K, Yan Z. 2016. Study on the management of pork quality and safety from the perspective of social governance: An empirical analysis based on 10 160 news on pork quality and safety. Issues in Agricultural Economy, (12), 6–14. (in Chinese)
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