Principal Component Analysis and Classification of Saving Decisions for Employees in the Bank of the Lao People's Democratic Republic, Luang Prabang Province
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Abstract
The development of a country through internal sources of funds resulting from savings is considered an important factor for sustainable economic driving. This research's objectives were to study the saving behavior of employees of the Bank of the Lao PDR. Moreover, we also analyze the principal components that influence employee saving behavior. Also, we construct the classification model of employee savings decisions to categorize the groups of savers according to savings scores. The population is employees of the bank of the Lao PDR in Luang Prabang province. The factor analysis will be examined by the principal component analysis method, which is orthogonally rotated by the Varimax approach. Classification modeling will be based on logistic regression analysis. The results show that most employees have savings plans because they have good fundamental knowledge in finance and investment. They have an average amount of monthly savings between 2,000,001 to 2,500,000 kip. The most popular form of savings is a saving deposit, where the main objective is to be used in an emergency. The population is interested in a saving period between 1 to 5 years. As for the principal components that influence saving behavior, we found that 52.94 percent of the total variation of the factors that influence employees' saving behavior can be explained by income, risk – tolerance, financial literature, and dependency. The overall forecasting accuracy of the model used to classify a decision of saver is 85.96 percent, which can classify the employees into 5 groups consisting of strongly interested in saving, interested in saving, rather interested in saving, rather uninterested in saving, and uninterested in saving, where their credit score is above 550, 526-550, 501-525, 475-500 and below 475 respectively.
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The articles published in the journals are the authors' opinions, not the opinion of the editorial team or administrative staff. The articles published is copyright of the Journal of Business Administration and Accounting, Khon Kaen University.
References
Allen, R. & Santrock, J.W. (1993). Psychology: the contexts of behavior. Dubuque, IA.: William Brown Communication.
Baumeister, R.F. (2002). Self-control failure, impulsive purchasing, and consumer behavior. The Journal of Consumer Research, 28(4), 670 – 676.
Berkson, J. (1944). Application of the Logistic Function to Bio-Assay. Journal of the American Statistical Association. 39(227), (Sep., 1944), 357-365.
Binlama, W. & Chotkamjorn, S. (2014). Patterns and behavior of household savings in Muaeng District, Phetchabun province. Phetchabun: Phetchabun Rajabhat University. (In Thai)
Browning, M. (1995). Saving and the intra-household distribution of income: an empirical investigation. Richerche Economiche, 48, 277–292.
Browning, M. & Lusardi, A. (1996). Household saving: micro theories and micro facts. Journal of Economic Literature, 34(4), 1797-1855.
Burbridge, J.B. & Robb, A.L. (1985). Evidence on wealth-age profiles in Canadian cross- section data. Canadian Journal of Economics, 18(4), 854–875.
Danzinger et al. (1982). The life-cycle hypothesis and the consumption behavior of the elderly. Journal of Post-Keynesian Economics, 5, 208–227.
Duflo, E. & Saez, E. (2003). The role of information and social interactions in retirement plan decisions: evidence from a randomized experiment. Quarterly Journal of Economics, 118, 815-842.
Esenvalde, I. (2010). Psychological predictors of saving behavior: contrasting the impact of optimism and burnout on self-control, achievement motivation and savings behavior. Los Angeles: Alliant International University.
Grabe, J.E. & Joo, S. (1997). How to improve financial knowledge, attitudes, and behaviors among consumer science constituencies. The Journal of Consumer Education, 17, 20-26.
Guariglia, A. & Rossi, M. (2002). Consumption, habit formation, and precautionary saving: evidence from the British household panel survey. Oxford Economic Papers, 54(1), 1–19.
Hilgert, M.A., Hogarth, J.M. & Beverly, S.G. (2003). Household financial management: the connection between knowledge and behavior. Federal Research Bullentin, 89, 309-322.
Hurd, M.D. (1987). Saving of the elderly and desired bequests. American Economic Review, 77(3), 298–312.
Jolliffe, I.T. (2002). Principal component analysis. 2nd ed. New York: Springer.
Keynes, J.M. (1936). The general theory of employment, interest, and money. London: Macmillan.
Khruachalee, K. Lorchirachoonkul, V. & Jitthavech, J. (2016). Classification of companies listed in Stock Exchange of Thailand by using logistic regression analysis. Burapha Journal of Business Management, 5(2), 19-32. (In Thai)
Ladsaart, J. Tamjinda, R. & Suwannapan, S. (2018). Factors influencing personal saving behaviors of the working-aged population in the Lao People’s Democratic Republic. Journal of Modern Management 11(1), 124-138. (In Thai)
Lim, C.S., Sia, B.K. & Gan, G.J. (2011). The analysis of psychological factors affecting savers in Malaysia. Middle Easter Finance and Economic, 12, 77-85.
Mahdzan, N.S. & Tabiani, S. (2013). The impact of financial literacy on individual saving: an exploratory study in the Malaysian context. Transformations in Business and Economic, 12(1), 41-55.
Onchan, P. & Srisuksai, P. (2017). Factors affecting saving in national savings fund of the self-employment in Muang Krabi District Krabi Provice. RMUTT Global Business and Economics Review 12(1), 99 – 112. (In Thai)
Patmasiriwat, D. (2014). Saving, wealth, and old-age pension for Thai households. Bangkok: National Institute of Development Administration. (In Thai)
Phasunon, P. (2010). Marketing research. Bangkok: TOP. (In Thai)
Phromchak, J. & Duangchan, S. (2012). Factors affecting the savings of the people in Ban Tong Ja Lin, Ban Phosi, and Ban Phabad Tai Luang Prabang. Luang Prabang: Souphanouvong University.
Pimonratanakan, S. Jituea, N. & Chantuk, T. (2017). Motivation factors for money saving environment saving and attitudes saving which affect College of Logistics and Supply Chain Suansunandha Rajabhat University Students Saving Behavior. Srinakharinwirot Business Journal 8(2), 26 – 41. (In Thai)
Sabri, M.F. & MacDonald, M. (2010). Savings behavior and financial problems among college students: the role of financial literacy in Malaysia. Cross-Cultural Communication, 6(3), 103-110.
Schagen, S. & Lines, A. (1996). Financial literacy in adult life: a report to the NatWest Group Charitable Trust. England: National Foundation for Educational Research.
Sereetrakul, W. (2014). Factors predicting saving behavior of students in Bangkok Metropolitan area. Suthiparithat Journal, Dhurakij Pundit University, 28(85), 301 – 315. (In Thai)
Srichaichana, T. (2007). The relationship between household savings and the concept of adequate economy: a case study of Phitsanulok Province. Phitsanulok: Naresuan University. (In Thai)
Suksawat, K. (2013). Factors effecting savings of people in rural areas in Luang Prabang, case study: Muang Luang Prabang, Muang Nambak District and Muang Phon Chai District. Vientiane: National University of Laos.
Tapaneeyaworrawong, P. (2017). A Factors analysis of saving cooperatives’ financial stability in Northern. Burapha Journal of Business Management. 6(2), 105 – 118.
Teresa et al. (2011). Saving behavior: evidence from Portugal. International Review of Applied Economics, 25(2), 225-238.