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Food safety risks and defensive behavior: Evidence from health insurance

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  • Shen, Yu
  • Yang, Qingqing
  • Zhao, Chenyang

Abstract

We innovatively investigate public defensive behavior in response to food safety risks. Using novel transaction-level data from a large insurance company in China, we empirically find a significant positive correlation between food safety risks and health insurance purchases. The causality is identified by 2SLS regressions with instrumental variables and a quasi-natural experiment. Further analysis shows that the insurance effect is a result of residents’ irrational overreaction and defensive psychology towards food safety risks.

Suggested Citation

  • Shen, Yu & Yang, Qingqing & Zhao, Chenyang, 2023. "Food safety risks and defensive behavior: Evidence from health insurance," Finance Research Letters, Elsevier, vol. 58(PA).
    • Handle: RePEc:eee:finlet:v:58:y:2023:i:pa:s1544612323003999
    DOI: 10.1016/j.frl.2023.104027
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    References listed on IDEAS

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    1. Wolfe, John R. & Goddeeris, John H., 1991. "Adverse selection, moral hazard, and wealth effects in the medigap insurance market," Journal of Health Economics, Elsevier, vol. 10(4), pages 433-459.
    2. Zhou, Jiehong & Jin, Yu & Liang, Qiao, 2022. "Effects of regulatory policy mixes on traceability adoption in wholesale markets: Food safety inspection and information disclosure," Food Policy, Elsevier, vol. 107(C).
    3. Garrett, Ian & Kamstra, Mark J. & Kramer, Lisa A., 2005. "Winter blues and time variation in the price of risk," Journal of Empirical Finance, Elsevier, vol. 12(2), pages 291-316, March.
    4. Lin, Chaonan & Hsiao, Yu-Jen & Yeh, Cheng-Yung, 2017. "Financial literacy, financial advisors, and information sources on demand for life insurance," Pacific-Basin Finance Journal, Elsevier, vol. 43(C), pages 218-237.
    5. Chen, Zhao & Kahn, Matthew E. & Liu, Yu & Wang, Zhi, 2018. "The consequences of spatially differentiated water pollution regulation in China," Journal of Environmental Economics and Management, Elsevier, vol. 88(C), pages 468-485.
    6. Tom Y Chang & Wei Huang & Yongxiang Wang, 2018. "Something in the Air: Pollution and the Demand for Health Insurance," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 85(3), pages 1609-1634.
    7. Liu, Hong & Gao, Song & Rizzo, John A., 2011. "The expansion of public health insurance and the demand for private health insurance in rural China," China Economic Review, Elsevier, vol. 22(1), pages 28-41, March.
    8. Mark J. Kamstra & Lisa A. Kramer & Maurice D. Levi, 2003. "Winter Blues: A SAD Stock Market Cycle," American Economic Review, American Economic Association, vol. 93(1), pages 324-343, March.
    9. Khwaja, Ahmed, 2010. "Estimating willingness to pay for medicare using a dynamic life-cycle model of demand for health insurance," Journal of Econometrics, Elsevier, vol. 156(1), pages 130-147, May.
    10. Abhijit Banerjee & Amy Finkelstein & Rema Hanna & Benjamin A. Olken & Arianna Ornaghi & Sudarno Sumarto, 2021. "The Challenges of Universal Health Insurance in Developing Countries: Experimental Evidence from Indonesia's National Health Insurance," American Economic Review, American Economic Association, vol. 111(9), pages 3035-3063, September.
    11. Dewar, Diane M., 1998. "Do those with more formal education have better health insurance opportunities?," Economics of Education Review, Elsevier, vol. 17(3), pages 267-277, June.
    12. Loureiro, Maria L., 2008. "Liability and food safety provision: Empirical evidence from the US," International Review of Law and Economics, Elsevier, vol. 28(3), pages 204-211, September.
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