IDEAS home Printed from https://ideas.repec.org/a/sae/sagope/v14y2024i2p21582440241242544.html
   My bibliography  Save this article

Haze Pollution, Climate Risk Perception and Demand for Commercial Health Insurance

Author

Listed:
  • Xiaoyi Li
  • Qibo Tian

Abstract

Haze pollution not only affects the quality of economic growth and the image of the government, but also seriously affects public health. With the improvement of climate risk perception, the public is actively seeking all kinds of risk management measures to combat the hazards of haze pollution. The study of the relationship between haze pollution, climate risk perception and the development of commercial health insurance is of great significance to the formulation of haze control policies and the improvement of social security system. This paper attempts to explore the relationship between haze pollution, climate risk perception and commercial health insurance demand by establishing static and dynamic models based on panel data from 31 provinces in China from 2005 to 2022. Also, the spatial spillover effects of haze pollution in different regions on the development of commercial health insurance in other regions are investigated by establishing a spatial Durbin model. It is found that (1) haze pollution has a lagged positive effect on the demand for commercial health insurance; (2) haze pollution has a significant spatial spillover effect on the development of commercial health insurance; (3) this study used Python technology to construct a climate risk perception index, and found that the moderating effect of the residents’ perception of climate risk existed significantly, and that the residents might take other measures to manage the risk in the short term, but in the long term, the climate risk perception showed a positive correlation with the level of education. This paper provides implications for government departments and social media to strengthen education and publicity, improve residents’ awareness of risk diversification, and deepen the concept of commercial health protection.

Suggested Citation

  • Xiaoyi Li & Qibo Tian, 2024. "Haze Pollution, Climate Risk Perception and Demand for Commercial Health Insurance," SAGE Open, , vol. 14(2), pages 21582440241, April.
    • Handle: RePEc:sae:sagope:v:14:y:2024:i:2:p:21582440241242544
    DOI: 10.1177/21582440241242544
    as

    Download full text from publisher

    File URL: https://journals.sagepub.com/doi/10.1177/21582440241242544
    Download Restriction: no
    File URL: https://libkey.io/10.1177/21582440241242544?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. Forni, Mario & Lippi, Marco, 2001. "The Generalized Dynamic Factor Model: Representation Theory," Econometric Theory, Cambridge University Press, vol. 17(6), pages 1113-1141, December.
    2. Donghui Li & Fariborz Moshirian & Pascal Nguyen & Timothy Wee, 2007. "The Demand for Life Insurance in OECD Countries," Journal of Risk & Insurance, The American Risk and Insurance Association, vol. 74(3), pages 637-652, September.
    3. Pedro Bordalo & Nicola Gennaioli & Andrei Shleifer, 2013. "Salience and Consumer Choice," Journal of Political Economy, University of Chicago Press, vol. 121(5), pages 803-843.
    4. Avraham Ebenstein & Maoyong Fan & Michael Greenstone & Guojun He & Peng Yin & Maigeng Zhou, 2015. "Growth, Pollution, and Life Expectancy: China from 1991-2012," American Economic Review, American Economic Association, vol. 105(5), pages 226-231, May.
    5. Cheng Yuan & Yu Jiang, 2015. "Factors affecting the demand for insurance in China," Applied Economics, Taylor & Francis Journals, vol. 47(45), pages 4855-4867, September.
    6. Juncal Cuñado & Fernando Gracia, 2013. "Environment and Happiness: New Evidence for Spain," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 112(3), pages 549-567, July.
    7. Jiaxiu He & Haoming Liu & Alberto Salvo, 2019. "Severe Air Pollution and Labor Productivity: Evidence from Industrial Towns in China," American Economic Journal: Applied Economics, American Economic Association, vol. 11(1), pages 173-201, January.
    8. Cai, Jing & Song, Changcheng, 2017. "Do disaster experience and knowledge affect insurance take-up decisions?," Journal of Development Economics, Elsevier, vol. 124(C), pages 83-94.
    9. 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.
    10. Giovanni Millo & Gaetano Carmeci, 2015. "A Subregional Panel Data Analysis of Life Insurance Consumption in Italy," Journal of Risk & Insurance, The American Risk and Insurance Association, vol. 82(2), pages 317-340, June.
    11. Wu, Bao & Wang, Qi & Fang, Chevy-Hanqing & Tsai, Fu-Sheng & Xia, Yuanze, 2022. "Capital flight for family? Exploring the moderating effects of social connections on capital outflow of family business," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 77(C).
    12. Siyao Ma & Christopher A. Craig & Song Feng, 2021. "Camping climate resources: the camping climate index in the United States," Current Issues in Tourism, Taylor & Francis Journals, vol. 24(18), pages 2523-2531, September.
    Full references (including those not matched with items on IDEAS)

    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. Yao, Yao & Li, Xue & Smyth, Russell & Zhang, Lin, 2022. "Air pollution and political trust in local government: Evidence from China," Journal of Environmental Economics and Management, Elsevier, vol. 115(C).
    2. Zining Liu & Cheng Wan, 2024. "Air pollution and the burden of long‐term care: Evidence from China," Health Economics, John Wiley & Sons, Ltd., vol. 33(6), pages 1241-1265, June.
    3. He, Juan & Zheng, Xiaoyong, 2024. "Do consumers try to solve the air pollution problem themselves? the effects of air pollution on purchase of hybrid and electric cars," Journal of Economic Behavior & Organization, Elsevier, vol. 220(C), pages 850-868.
    4. Yuan, Cheng & Jiang, Yu, 2020. "The marginal propensity to insure: An international analysis," International Review of Economics & Finance, Elsevier, vol. 69(C), pages 102-109.
    5. Scharner, Philipp & Sonnenberger, David & Weiß, Gregor, 2023. "Revisiting the insurance–growth nexus," Economic Analysis and Policy, Elsevier, vol. 79(C), pages 525-539.
    6. Sandra Aguilar-Gomez & Nathaly M. Rivera, 2024. "Air Pollution in the Global South: An Overview of Its Sources and Impacts," Working Papers wp561, University of Chile, Department of Economics.
    7. Bonan, Jacopo & Cattaneo, Cristina & d’Adda, Giovanna & Tavoni, Massimo, 2024. "Heat of the Moment: How Temperature Influences the Search and Purchase of Energy-Using Appliances," Journal of Economic Behavior & Organization, Elsevier, vol. 227(C).
    8. Zhonghua Huang & Xuejun Du, 2022. "Does air pollution affect investor cognition and land valuation? Evidence from the Chinese land market," Real Estate Economics, American Real Estate and Urban Economics Association, vol. 50(2), pages 593-613, June.
    9. Bojan Srbinoski & Klime Poposki & Patricia H. Born & Valter Lazzari, 2021. "Life insurance demand and borrowing constraints," Risk Management and Insurance Review, American Risk and Insurance Association, vol. 24(1), pages 37-69, March.
    10. Ma, Shuang & Li, Xueluan & Li, Ding & Guo, Huanxiu, 2023. "Does air pollution induce international migration? New evidence from Chinese residents," Economic Modelling, Elsevier, vol. 120(C).
    11. Xavier Gabaix, 2017. "Behavioral Inattention," NBER Working Papers 24096, National Bureau of Economic Research, Inc.
    12. Colmer, Jonathan & Lin, Dajun & Liu, Siying & Shimshack, Jay, 2021. "Why are pollution damages lower in developed countries? Insights from high-Income, high-particulate matter Hong Kong," Journal of Health Economics, Elsevier, vol. 79(C).
    13. Liu, Shasha & Kong, Dongmin & Zhang, Jian, 2024. "Air pollution-induced brain drain: Evidence from inventor mobility," International Review of Financial Analysis, Elsevier, vol. 91(C).
    14. Zhao, Xiaolei & Zhao, Ziyao & Mao, Yumeng & Li, Xuemei, 2024. "The role of air pollution in electric vehicle adoption: Evidence from China," Transport Policy, Elsevier, vol. 154(C), pages 26-39.
    15. Wang, Weilong & Wang, Jianlong & Ye, Huiying & Wu, Haitao, 2024. "Polluted air, smarter factories? China's robot imports shed light on a potential link," Energy Economics, Elsevier, vol. 134(C).
    16. Edoardo Porto & Joanna Kopinska & Alessandro Palma, 2021. "Labor market effects of dirty air. Evidence from administrative data," Economia Politica: Journal of Analytical and Institutional Economics, Springer;Fondazione Edison, vol. 38(3), pages 887-921, October.
    17. Pan He & Pengfei Liu & Yueming (Lucy) Qiu & Lufan Liu, 2022. "The weather affects air conditioner purchases to fill the energy efficiency gap," Nature Communications, Nature, vol. 13(1), pages 1-8, December.
    18. Milijana Novovic Buric & Ljiljana Kascelan & Vladimir Kascelan, 2023. "Economic and demographic determinants of premium reserve in Western Balkan countries during and after the crisis," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 28(1), pages 1116-1136, January.
    19. Ye, Hai-Jian & Huang, Zuhui & Chen, Shuai, 2023. "Air pollution and agricultural labor supply: Evidence from China," China Economic Review, Elsevier, vol. 82(C).
    20. Jiang Cheng & Lu Yu, 2019. "Life and health insurance consumption in China: demographic and environmental risks," The Geneva Papers on Risk and Insurance - Issues and Practice, Palgrave Macmillan;The Geneva Association, vol. 44(1), pages 67-101, January.

    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:sae:sagope:v:14:y:2024:i:2:p:21582440241242544. 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: SAGE Publications (email available below). General contact details of provider: .

    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.