An Integrative Model of Factors Influencing Debt Burden: A Mediating Role of Money Management in Thai Society

Main Article Content

Issara Suwanragsa
Pallapa Srivalosakul
Noppon Tangjitprom

Abstract

The objective of the present study is to identify factors influencing debt burden of Thais. By integrating theories from various disciplines, the present study contends that debt burden is determined by economic factors (i.e. income and number of credit card), demographic factors (i.e. age, education, and number of children), and socio-psychological factors (i.e. material values). It is proposed that the effects of these factors on debt burden may not be the direct ones. They may be mediated by money management practices. These factors may facilitate people in managing money, resulting in lower debt burden. Results from the questionnaire survey on respondents of working ages in Bangkok indicated that number of credit card and age directly affected debt burden. People of working age who hold more number of credit cards tended to use more credit, hence, had more debt burden. In addition, disposable income, education, and personal’s material values were found to indirectly influenced debt burden - they were mediated by money management practices. People, who had high income, high education, and low materialism, manage their money better, resulting in lower debt burden. Results from the present study provide policy implementation in reducing Thais’ debt burden. Limiting number of credit cards held by individuals may be an effective policy to reduce debt. Increasing income or education may be necessary but not sufficient to decrease debt burden. Training or financial counseling on how to manage cash, credit, saving and investment should be provided in order to reduce debt burden.

Article Details

How to Cite
Suwanragsa, I. ., Srivalosakul, P. ., & Tangjitprom, N. . (2018). An Integrative Model of Factors Influencing Debt Burden: A Mediating Role of Money Management in Thai Society. Connexion: Journal of Humanities and Social Sciences, 7(2), 223–250. Retrieved from https://so05.tci-thaijo.org/index.php/MFUconnexion/article/view/241209
Section
Research article

References

Ando, A., & Modogliani, F. (1963) The ‘‘life cycle’’ hypothesis of saving: Aggregate implications and tests, The American Economic Review, vol. 53, no.1, pp. 55–84.

Becker, G. S. (1964) Human capital: A theoretical and empirical analysis, with special reference to education, New York: National Bureau of Economic Research.

Becker, G. S. (1965) A theory of the allocation of time, The Economic Journal, vol. 75, no. 299, pp. 493-517.

Becker, G. S. (1975) Human capital, 2nd edition, New York: Columbia University Press for National Bureau of Economic Research.

Berthoud, R., & Kempson, E. (1992) Credit and debt in Britain, Report of first findings from the PSI survey, London: Policy Studies Institute.

Bridges, S., et al. (2006) ‘Housing wealth and the accumulation of financial debt: Evidence from UK households’, in G. Bertola, R. Disney, & C. Grant (Eds.), The economics of consumer credit (pp. 135–180), Cambridge, MA: MIT Press.

Charpe M., & Flaschel, P. (2013) Workers’ debt, default and the diversity of financial fragilities, Structural Change and Economic Dynamics, vol. 27, pp. 48-65.

Chen, K., & Chivakul, M. (2008) What drives household borrowing and credit constraints? Evidence from Bosnia and Herzegovina (IMF Working Paper, WP/08/202), Available: https://www.imf.org/external/pubs/ft/wp/2008/wp08202.pdf [7 March 2018]

Chien, Y., & Devaney, S. A. (2001) The effects of credit attitude and socioeconomic factors on credit card and installment debt, The Journal of Consumer Affairs, vol. 35, no. 1, pp. 162-179.

Debelle, G. (2004) Household debt and the macroeconomy, BIS Quarterly Review, March 2004, pp. 51-64.

Del-Rio, A., & Young, G. (2005) The determinants of unsecured borrowing: Evidence from the British household panel survey (Working Papers. 263), Available: https://www.ecri.eu/new/system/files/49?determinants_unsecured_borrowing_uk.pdf [7 April 2018]

Donnelly, G., et al. (2012) The Big Five personality traits, materialistic values and financial well-being of self-reported money managers, Journal of Economic Psychology, vol. 33, no.1, pp. 1129–1142.

Donnelly, G., et al. (2013) Sadness, identity, and plastic in over-shopping: The interplay of materialism, poor credit management, and emotional buying motives in predicting compulsive buying, Journal of Economic Psychology, vol. 39, pp. 113–125.

Duca, J., & Rosenthal, S. (1994) Do mortgage rates vary based on household default characteristics? Evidence on rate sorting and credit rationing, Journal of Real Estate Finance and Economics, vol. 8, no. 2, pp. 99–113.

Dynan, K., & Kohn, D. (2007) The rise in U.S. household indebtedness: Causes and consequences, Finance and Economics Discussion Series, 2007-37, pp. 1-36.

Elliot, A. (2005) Not waving but drowning: Over-indebtedness by misjudgment, London and New York: Centre for the Study on Financial Innovation (CSFI).

Fabbri, D., & Padula, M. (2004) Does poor legal enforcement make households credit-constrained?, Journal of Banking & Finance, vol. 28, no.10, pp. 2369–2397.

Fan, X. J., et al. (1993) Real income growth and optimal credit use, Financial Services Review, vol. 3, no. 1, pp. 45-58.

Fidrmuc, J., et al. (2013) Households’ foreign currency borrowing in Central and Eastern Europe, Journal of Banking & Finance, vol. 37, no. 6, pp. 1880–1897.

Garðarsdóttir, R. B., & Dittmar, H. (2012) The relationship of materialism to debt and financial well-being: The case of Iceland's perceived prosperity, Journal of Economic Psychology, vol. 33, no. 3, pp. 471–481.

Gathergood, J. (2012) Self-control, financial literacy and consumer over-indebtedness, Journal of Economic Psychology, vol. 33, pp. 590-602.

Godwin, D. D. (1998) Household debt quintiles: Explaining changes 1983-1989, The Journal of Consumer Affairs, vol. 32, no. 2, pp. 369-393.

Godwin, D. D., & Koonce, J. C. (1992) Cash flow management of low-income newlyweds, Journal of Financial Counseling and Planning, vol. 3, pp. 17–43.

Hair, J. F., et al. (2006) Multivariate data analysis. New Jersey: Prentice Hall.

Hanna, S., et al. (1995) Optimal life cycle savings, Financial Counseling and Planning, vol. 6, pp. 1-15.

Ho, R. (2006) Handbook of univariate and multivariate data analysis and interpretation with SPSS, Boca Raton, FL: Chapman & Hall/CRC Taylor & Francis Group.

Hofmann, B. (2004) The determinants of bank credit in industrialized countries: Do property prices matter?, International Finance, vol. 7, no. 2, pp. 203-234.

Hilgert, M., et al. (2003) Household financial management: The connection between knowledge and behavior, Federal Reserve Bulletin, vol. 87, pp. 309–322.

Kerkmann, B. C., et al. (2000) Financial management, financial problems and marital satisfaction among recently married university students, Journal of Financial Counseling and Planning, vol. 11, no. 2, pp. 55–65.

Kim, H., & DeVaney, S. A. (2001) The determinants of outstanding balances among credit card revolvers, Financial Counseling and Planning, vol. 12, no. 1, pp. 67-77.

Kim, J., et al. (2003) Relationships among credit counseling clients’ financial well-being, financial behaviors, financial stressor events and health, Financial Counseling and Planning, vol. 14, no. 2, pp. 75–87.

Ksendzova, M., et al. (2017) A brief money management scale and its associations with personality, financial health, and hypothetical debt repayment, Journal of Financial Counseling and Planning, vol. 28, no. 1, pp. 62-75.

Lea, S. E. G., et al. (1995) Psychological factors in consumer debt: Money management, economic socialization, and credit use, Journal of Economic Psychology, vol. 16, pp. 681–701.

Lin, C., & Yang, T. (2005) Curtailment as a mortgage performance indicator, Journal of Housing Economics, vol. 14, no. 3, pp. 294–314.

Lombardi, M., et al. (2017) The real effects of household debt in the short and long run (BIS Working Papers No 607, pp. 1-40), Switzerland: Monetary and Economic Department of the Bank for International Settlements.

Lusardi, A., & Mitchell, O. S. (2009) How ordinary consumers make complex economic decisions: Financial literacy and retirement readiness (NBER Working Paper 15350), Available: https://www.nber.org/papers/w15350 [7 March 2018]

Malhotra, N. K. (2010) Marketing research: An applied orientation, New Jersey: Pearson Education.

Meniago, C., et al. (2013) What causes household debt to increase in South Africa? Economic Modelling, vol. 33, pp. 482-492.

Mokhtar, M., & Ismail, A. (2013) Shariah issues in managing household debt: The case of Malaysia, Journal Pengurusan, vol. 37, pp. 63-76.

NBTC (2017) Number of Thai households, Available: https://broadcast.nbtc.go.th/data/academic/file/580800000008.pdf [27 January 2018]

Nepomuceno, M. V., & Laroche, M. (2015) The impact of materialism and anti-consumption lifestyles on personal debt and account balances, Journal of Business Research, vol. 68, pp. 654-664.

Norvilitis, J. M., et al. (2003) Factors influencing levels of credit-card debt in college students, Journal of Applied Social Psychology, vol. 33, no. 5, pp. 935–947.

Richins, M. (2004) The material values scale: Measurement properties and development of a short form, Journal of Consumer Research, vol. 31, pp. 209–219.

Richins, M. L. (2011) Materialism, transformation expectations, and spending: Implications for credit use, Journal of Public Policy & Marketing, vol. 30, no. 2, pp. 141–156.

Richins, M., & Dawson, S. (1992) Materialism as a consumer value: Measure development and validation, Journal of Consumer Research, vol. 19, pp. 303–316.

Richins, M., & Rudmin, F. W. (1994) Materialism and economic psychology, Journal of Economic Psychology, vol. 15, pp. 217–231.

Robb, C. A., & Pinto, M. B. (2010) College students and credit card use: An analysis of financially at-risk students, College Student Journal, vol. 44, no. 4, pp. 823–835.

Robb, C. A., & Woodyard, A. S. (2011) Financial knowledge and best practice behavior, Journal of Financial Counseling & Planning, vol. 22, no. 1, pp. 60-70.

Schultz, T. (1961) Investment in human capital, The American Economic Review, vol. 51, no. 1, pp. 1-17.

Steidle, R. P. (1994) Determinants of bank and retail credit card revolvers: An application using the life-cycle income hypothesis, Consumer Interests Annual, vol. 40, pp. 170-177.

Thaicharoen, Y., et al. (2004) Rising Thai household debt: Assessing the risks and policy implications, Bangkok: Bank of Thailand.

Turinetti, E., & Zhuang, H. (2011) Exploring determinants of U.S. household debt, Journal of Applied Business Research, vol. 27, no. 6, pp. 85-91.

Watson, J. J. (2003) The relationship of materialism to spending tendencies, saving, and debt, Journal of Economic Psychology, Vol. 24, pp. 723-739.

Xiao, J. J., & Noring, F. E. (1994) Perceived saving motives and hierarchical financial needs, Journal of Financial Counseling and Planning, vol. 5, no. 1, pp. 25-44.

Xiao, J. J., et al. (2006) Financial behaviors of consumers in credit counseling, International Journal of Consumer Studies, vol. 30, no. 2, pp. 108–121.

Yamane, T. (1967) Statistics: An introductory analysis, New York: Harper & Row.