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Air pollution and online lender behavior: Evidence from Chinese peer-to-peer lending

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  • Chen, Xiao
  • Guo, Gangxing

Abstract

This paper examines the effect of air pollution on individual lenders' decisions. Using unique data from the leading peer-to-peer lending platform, we find evidence that for every 10 units increase in the air quality index (AQI), the lender would lend RMB 5.47 yuan more in one single bid and 6% earlier in the fund-raising period. Moreover, the impacts from PM2.5 and CO pollutants are serious. The older people and people that are not well-educated would significantly suffer from air pollution. We further explore three potential mechanisms: physical channel, physiological channel as well as psychological channel, and show that the first two are valid. Overall, our findings shed light on the influence of environmental factors on online lending participants.

Suggested Citation

  • Chen, Xiao & Guo, Gangxing, 2024. "Air pollution and online lender behavior: Evidence from Chinese peer-to-peer lending," Journal of Behavioral and Experimental Finance, Elsevier, vol. 42(C).
    • Handle: RePEc:eee:beexfi:v:42:y:2024:i:c:s2214635024000340
    DOI: 10.1016/j.jbef.2024.100919
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    Keywords

    Air Pollution; Peer-to-peer Lending; Behavioral Bias; Individual Lenders;
    All these keywords.

    JEL classification:

    • D14 - Microeconomics - - Household Behavior - - - Household Saving; Personal Finance
    • G20 - Financial Economics - - Financial Institutions and Services - - - General
    • Q53 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics - - - Air Pollution; Water Pollution; Noise; Hazardous Waste; Solid Waste; Recycling

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