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The Impact of Health Risk Perception on Blockchain Traceable Fresh Fruits Purchase Intention in China

Author

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  • Qianqian Zhai

    (College of Economics and Management, Nanjing Agricultural University, Nanjing 210095, China)

  • Ali Sher

    (Business School, Nanjing University of Information Science & Technology, Nanjing 210044, China)

  • Qian Li

    (College of Economics, Beijing Technology and Business University, Beijing 100048, China)

Abstract

This paper systematically investigates the impact of consumers’ health risk perceptions on the purchase intention of blockchain traceable fresh fruits in China. It uses online-survey data collected from four pilot cities that are part of the food traceability system in China. The ordinary least squares (OLS) and the ordered probit model was applied to examine the posited relationships. The results show that consumers’ health risk perception has a significant positive effect on the purchase intention of blockchain traceable fresh fruits. The stronger consumers’ health risk perception, the stronger their purchase intention of blockchain traceable fresh fruits. Likewise, heterogeneity exists among gender, age, income, and education in their corresponding effect of consumers’ health risk perception on blockchain traceable fresh fruit purchase intention. This suggests that male, high-aged, high-income and high-educated groups have a higher health risk perception, and therefore a higher purchase perception for blockchain traceable fresh fruits than female, low-aged, low-income and low-educated, respectively. Furthermore, family structure, consumers’ traceability cognition and purchase experience of traceable products affect the purchase intention of blockchain traceable fresh fruits. The study has several insights on the broader promotion, acceptance and development of the food traceability system and provides practical cues for policy and practice.

Suggested Citation

  • Qianqian Zhai & Ali Sher & Qian Li, 2022. "The Impact of Health Risk Perception on Blockchain Traceable Fresh Fruits Purchase Intention in China," IJERPH, MDPI, vol. 19(13), pages 1-14, June.
    • Handle: RePEc:gam:jijerp:v:19:y:2022:i:13:p:7917-:d:850336
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    1. Shijiu Yin & Wuyang Hu & Yusheng Chen & Fei Han & Yiqin Wang & Mo Chen, 2019. "Chinese consumer preferences for fresh produce: Interaction between food safety labels and brands," Agribusiness, John Wiley & Sons, Ltd., vol. 35(1), pages 53-68, January.
    2. Jean Spinks & Son Nghiem & Joshua Byrnes, 2021. "Risky business, healthy lives: how risk perception, risk preferences and information influence consumer’s risky health choices," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 22(5), pages 811-831, July.
    3. Gabriella Dellino & Teresa Laudadio & Renato Mari & Nicola Mastronardi & Carlo Meloni, 2018. "A reliable decision support system for fresh food supply chain management," International Journal of Production Research, Taylor & Francis Journals, vol. 56(4), pages 1458-1485, February.
    4. Montecchi, Matteo & Plangger, Kirk & Etter, Michael, 2019. "It’s real, trust me! Establishing supply chain provenance using blockchain," Business Horizons, Elsevier, vol. 62(3), pages 283-293.
    5. Jeffrey M Wooldridge, 2010. "Econometric Analysis of Cross Section and Panel Data," MIT Press Books, The MIT Press, edition 2, volume 1, number 0262232588, December.
    6. Deepak Prashar & Nishant Jha & Sudan Jha & Yongju Lee & Gyanendra Prasad Joshi, 2020. "Blockchain-Based Traceability and Visibility for Agricultural Products: A Decentralized Way of Ensuring Food Safety in India," Sustainability, MDPI, vol. 12(8), pages 1-20, April.
    7. Lijia Wang & Jianhua Wang & Xuexi Huo, 2019. "Consumer’s Willingness to Pay a Premium for Organic Fruits in China: A Double-Hurdle Analysis," IJERPH, MDPI, vol. 16(1), pages 1-14, January.
    8. Linjia Xu & Jiaying Liu & Jarim Kim & Myoung-Gi Chon, 2021. "Are Chinese Netizens Willing to Speak Out? The Spiral of Silence in Public Reactions to Controversial Food Safety Issues on Social Media," IJERPH, MDPI, vol. 18(24), pages 1-16, December.
    9. Geneci da Silva Ribeiro Rocha & Letícia de Oliveira & Edson Talamini, 2021. "Blockchain Applications in Agribusiness: A Systematic Review," Future Internet, MDPI, vol. 13(4), pages 1-16, April.
    10. Yubin Ding & Junling Xu & Sisi Huang & Peipei Li & Cuizhen Lu & Shenghua Xie, 2020. "Risk Perception and Depression in Public Health Crises: Evidence from the COVID-19 Crisis in China," IJERPH, MDPI, vol. 17(16), pages 1-17, August.
    11. Hui Liu & Jie Li & Hongyang Li & He Li & Peng Mao & Jingfeng Yuan, 2021. "Risk Perception and Coping Behavior of Construction Workers on Occupational Health Risks—A Case Study of Nanjing, China," IJERPH, MDPI, vol. 18(13), pages 1-25, July.
    12. Ada Ferrer-i-Carbonell & Paul Frijters, 2004. "How Important is Methodology for the estimates of the determinants of Happiness?," Economic Journal, Royal Economic Society, vol. 114(497), pages 641-659, July.
    13. Xin Lin & Shu-Chen Chang & Tung-Hsiang Chou & Shih-Chih Chen & Athapol Ruangkanjanases, 2021. "Consumers’ Intention to Adopt Blockchain Food Traceability Technology towards Organic Food Products," IJERPH, MDPI, vol. 18(3), pages 1-19, January.
    14. Alba J. Collart & Elizabeth Canales, 2022. "How might broad adoption of blockchain‐based traceability impact the U.S. fresh produce supply chain?," Applied Economic Perspectives and Policy, John Wiley & Sons, vol. 44(1), pages 219-236, March.
    15. Yiqing Su & Hailong Yu & Menglin Wang & Xinqi Li & Yanyan Li, 2022. "Why did China's cost‐reduction‐oriented policies in food safety governance fail? The collective action dilemma perspective," Canadian Journal of Agricultural Economics/Revue canadienne d'agroeconomie, Canadian Agricultural Economics Society/Societe canadienne d'agroeconomie, vol. 70(3), pages 203-217, September.
    16. Qian Li & Jingjing Wang & Xiaoyang Wang & Yubin Wang, 2020. "The impact of alternative policies on livestock farmers' willingness to recycle manure: evidence from central China," China Agricultural Economic Review, Emerald Group Publishing Limited, vol. 12(4), pages 583-594, June.
    17. Jaeyoung Lim & Kuk-Kyoung Moon, 2022. "Does Political Participation Strengthen the Relationship between Civic Morality and Environmentally Friendly Attitudes? Evidence from South Korea," IJERPH, MDPI, vol. 19(4), pages 1-13, February.
    18. Wen Lin & David L. Ortega & Danielle Ufer & Vincenzina Caputo & Titus Awokuse, 2022. "Blockchain‐based traceability and demand for U.S. beef in China," Applied Economic Perspectives and Policy, John Wiley & Sons, vol. 44(1), pages 253-272, March.
    19. Aaron M. Shew & Heather A. Snell & Rodolfo M. Nayga & Mary C. Lacity, 2022. "Consumer valuation of blockchain traceability for beef in the United States," Applied Economic Perspectives and Policy, John Wiley & Sons, vol. 44(1), pages 299-323, March.
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