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Demographics, attitude, personality and credit card features correlate with credit card debt: A view from China

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  • Wang, Lili
  • Lu, Wei
  • Malhotra, Naresh K.

Abstract

With the help of a commercial bank in China, we studied consumer credit card debt behavior2 in correlation with demographics, attitude, personality, and credit card features factors. The study was conducted by using mail-in questionnaires, which were sent to credit card holders who was using or had used either revolving credit or petty installment plans. According to regression functions, we found that demographic variables and credit card features had limited explanatory power compared to attitude variables and personality variables. Specifically, we found that revolving credit use and petty installment use were closely related to attitudes about credit cards, money and debt. Risk attitude efficiently predicted petty installment use; however, it did not correlate with revolving credit use. Personality factors of self-control, self-esteem, self-efficacy, deferring gratification, internal locus of control and impulsiveness were significantly correlated with revolving credit use; on the other hand, sensation seeking, impulsiveness, and deferring gratification were correlated with petty installment use. We also found that some credit card features easily led to an "illusion of income" that facilitated consumer credit card debt behavior.

Suggested Citation

  • Wang, Lili & Lu, Wei & Malhotra, Naresh K., 2011. "Demographics, attitude, personality and credit card features correlate with credit card debt: A view from China," Journal of Economic Psychology, Elsevier, vol. 32(1), pages 179-193, February.
  • Handle: RePEc:eee:joepsy:v:32:y:2011:i:1:p:179-193
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    References listed on IDEAS

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    2. Achtziger, Anja & Hubert, Marco & Kenning, Peter & Raab, Gerhard & Reisch, Lucia, 2015. "Debt out of control: The links between self-control, compulsive buying, and real debts," Journal of Economic Psychology, Elsevier, vol. 49(C), pages 141-149.
    3. Rogers, Pablo & Rogers, Dany & Securato, José Roberto, 2015. "Sobre variáveis psicológicas em modelos de application scoring," RAE - Revista de Administração de Empresas, FGV-EAESP Escola de Administração de Empresas de São Paulo (Brazil), vol. 55(1), January.
    4. Deanna Sharpe & Rui Yao & Li Liao, 2012. "Correlates of Credit Card Adoption in Urban China," Journal of Family and Economic Issues, Springer, vol. 33(2), pages 156-166, June.
    5. repec:spr:jbecon:v:87:y:2017:i:5:d:10.1007_s11573-017-0854-8 is not listed on IDEAS
    6. Yeniaras, Volkan & Akkemik, K. Ali & Yucel, Eray, 2016. "Re-considering the linkage between the antecedents and consequences of happiness," Journal of Economic Psychology, Elsevier, vol. 56(C), pages 176-191.
    7. Jean Lown & Jinhee Kim & Michael Gutter & Anne-Therese Hunt, 2015. "Self-efficacy and Savings Among Middle and Low Income Households," Journal of Family and Economic Issues, Springer, vol. 36(4), pages 491-502, December.
    8. Basnet, Hem C. & Donou-Adonsou, Ficawoyi, 2016. "Internet, consumer spending, and credit card balance: Evidence from US consumers," Review of Financial Economics, Elsevier, vol. 30(C), pages 11-22.
    9. repec:hur:ijaraf:v:7:y:2017:i:4:p:128-133 is not listed on IDEAS
    10. Veneta Sotiropoulos & Alain d’Astous, 2013. "Attitudinal, Self-Efficacy, and Social Norms Determinants of Young Consumers’ Propensity to Overspend on Credit Cards," Journal of Consumer Policy, Springer, vol. 36(2), pages 179-196, June.
    11. Spickermann, Alexander & Zimmermann, Martin & von der Gracht, Heiko A., 2014. "Surface- and deep-level diversity in panel selection — Exploring diversity effects on response behaviour in foresight," Technological Forecasting and Social Change, Elsevier, vol. 85(C), pages 105-120.

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