Longevity risk mitigation and its determinants: an empirical study of Thai society

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Patipan Sae-Lim
Benjamas Tulyanitikul


Globally, societies are aging, and within Thai society, the number of people aged from 54 to 70 years has also been increasing. Longevity is defined as living longer; however, increasing longevity raises the need for financial planning. The prime objective of this study was, therefore, to assess the longevity risk mitigation while the second aim was to examine the personality factors, socio-environmental factors, and organizational factors. This study applied descriptive statistics and an inferential model - multiple discriminant analysis - to assess the longevity risk mitigation and its determinants in Thai society, respectively. Risk management, financial behavior, and financial socialization theories were used to construct a theoretical framework.  Data were gathered from an empirical survey given to an employable age range. The results suggested that Thai society is financially prepared for aging. From the multiple discriminant analysis, individual factors were found to be most significantly associated with longevity risk mitigation. With regard to policy recommendations, firstly, human beings should understand financial literacy, and it should be taught as a subject of compulsory education. Secondly, the authors found the association between the high maturity level of the longevity risk mitigation and family relationship. This inferred that family conversion in the aspects of conscious money could be possible to increase the awareness of longevity. In order to validate the data, future research should find secondary data to reconcile with the primary information of this current study.  


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Alayande, S. A. and Adekunle, B. A. (2015). An overview and application of discriminant analysis in data analysis. IOSR Journal of Mathematics 11(1): 12-15.

Arifin, A. Z. (2017). The influence of financial knowledge, control and income on individual financial behavior. European Research Studies Journal 3(1): 635-648.

Asian Development Bank. (2018). Tapping Technology to Maximize the Longevity Dividend in Asia. [Online URL: https://www.adb.org/sites/default/files/publication/418301/tapping-technology-dividend-asia.pdf] accessed on March 20, 2020.

Benjamin, S. (2017). Enterprise Risk and Opportunity Management: Concepts and Step‐by‐Step Examples for Pioneering Scientific and Technical Organizations. New York: John Wiley and Sons.

Clinton, G. G. and Sharon, M. D. (2011). Family financial socialization: theory and critical review. Journal of Family and Economic Issues 32:644-667.

Committee of Sponsoring Organizations of the Treadway Commission (COSO). (2017). Enterprise Risk Management Integrate with Strategy and Performance. New Jersey: COSO.

Hair, J. F., Black, W. C., Babin, B. J. and Anderson, R. E. (2010). Multivariate Data Analysis: a Global Perspective. New York: Pearson.

Härdle, W. K. and Simar, L. (2015). Applied Multivariate Statistical Analysis. 4th ed. New York: Springer.

Hershey, D. A., Henkens, K. and Vandalen, H. P. (2010). Aging and financial planning for retirement: interdisciplinary influences viewed through a cross-cultural lens. International Aging and Human Development 70(1): 1-38.

Jitapunkul, S. and Wivatvanit, S. (2009). National policies and programs for the aging population in Thailand. Ageing International 33(1): 62-74.

Olsen, R. A. (1998). Behavioral finance and its implications for stock-price volatility. Financial Analyst Journal 54(2): 10-18.

Patmasiriwat, D. and Hengpatana, S. (2016). Income, saving, and wealth of Thai rural households: a case study of saving adequacies. Applied Economics Journal 23(1): 75-91.

Patrick, J. C., Huy. D. L. and Josh, S. (2015). Longevity Risk and Retirement Planning. [Online URL: https://www.cfainstitute.org/-/media/documents/book/rf-lit-review/2015/rflr-v10-n2-1.ashx] accessed on March 2, 2020.

Payne, S. H., Yorgason, J. B. and Dew, J. P. (2014). Spending today or saving for tomorrow: the influence of family financial socialization on financial preparation for retirement. Journal of Family and Economic 35(1): 106-118.

Prasartkul, P., Thaweesit, S. and Chuanwan, S. (2019). Prospects and contexts of demographic transitions in Thailand. Journal of Population and Social Studies 27(1): 1-22.

Rappaport, A. M. (2018). Don’t forget the human side of longevity. Benefits Quarterly (1st Quarter 2018): 44-51.
Rojananan, J. (2018). National Responses to Aging Society in Thailand. [Online URL: https://www.kenan-asia.org/wp-content/uploads/2018/11/Ms.-Jinanggoon-Rojananan-National-Responses-to-Aging-Society.pdf] accessed on April 12, 2020.

Rosa, E. (1998). Metatheoretical foundations for post-normal risk. Journal of Risk Research 1(1): 15–44.

Roy, A. (2012). Innovative approaches to managing longevity risk in Asia: Lessons from the West. ADBI Working Paper No. 353. Tokyo: Asian Development Bank Institute (ADBI).

Saardchom, N. (2016). Sustainable social security system: a case study of Thailand. Journal of Social, Political, and Economic Studies 41(3): 29-50.

Sae-Lim, P. (2018). Structural model of Opportunity Management (OM) towards Corporate Governance (CG) and Enterprise Risk Management (ERM). Paper Presented at International Conference on Applied Statistics (ICAS). Bangkok, Thailand. October 24-26.

Sae-Lim, P. (2019). Enterprise Risk Management (ERM) as a strategic tool: the empirical study in Thai listed companies. Journal of Public and Private Management 26(2): 89-118.

Spikin, I. C. (2013). Risk management theory: the integrated perspective and its application in public sector. Estado, Gobierno, Gestión Pública 21: 89-126.

Suppakitjarak, N. and Krishnamra, P. (2015). Household saving behavior and determinants of the forms of saving and investment in Thailand. Journal of Economics, Business and Management 3(3): 326-330.

Thailand National Statistics Office. (2020). Demography Population and Housing Branch [Online URL: https:// http://statbbi.nso.go.th/staticreport/page/sector/en/01.aspx] accessed on March 1, 2020.

Trochim, W. M. K. and Donnelly, J. P. (2006). The Research Methods Knowledge Base. 3rd ed. Cincinnati: Atomic Dog.

United Nations (UN). (2017). World Mortality Report 2017. New York: United Nations.

United Nations Population Fund. (2015). Features of Thai Families in the Era of Low Fertility and Longevity [Online URL: https://thailand.unfpa.org/sites/default/files/pub-pdf/State%20of%20Thailand%20
Population%20t%202015-Thai%20Family_en.pdf] accessed on March 1, 2020.

Vogt, W. P. (2007). Quantitative Research Methods for Professionals. Boston: Pearson Education.
World Economic Forum. (2019). The Global Risks Report 2019. 14th ed. Geneva: World Economic Forum.

World Health Organization. (2020). Coronavirus disease 2019 (COVID-19) Situation Report – 79. [Online URL: https://www.who.int/docs/default-source/coronaviruse/situation-reports/20200408-sitrep-79-covid-19.pdf] accessed on March 2, 2020.