Journal of Commerce and Accounting Research

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Identifying Factors Influencing Subscribers’ Perception Towards Investment in National Pension Scheme


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1 Research Scholar, Department of Commerce, Punjabi University, Patiala, Punjab, India
     

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NPS is South Asia’s first defined contribution pension scheme that provides various facilities, such as personal retirement account, scheme choices, professional fund management institutes, and account transfer option to the organised as well as the unorganised sector of the country. The study seeks to explore the factors influencing investment in NPS and to examine the perception of NPS subscribers in the organised as well as the unorganised sector, in terms of socio-economic factors. Exploratory factor analysis, t-test, and one-way ANOVA were used to analyse the data. The study revealed that the unorganised sector respondents are more in favour of NPS than those in the organised sector. It was also observed that gender, age, and monthly income have a significant relation with factors of NPS in both the sectors, but education qualification does not show any significant relation with NPS factors in the organised sector. The paper has implications for the government, fund managers, and pension policy makers.

Keywords

NPS, Organised Sector, Unorganised Sector, Socio-economic Factors, Subscribers’ Perception
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  • Alanko, E. (2009). What drives investors’ risk appetite - Empirical evidence from private Finnish investors 2007-2008 (Master’s thesis). Helsinki School of Economics.

  • Alkhaldi, F., & Alhammouri, B. (2017). Risk determinants and investment decisions: An explanatory study. Research Journal of Finance and Accounting, 8(20), 104-111.

  • Alexander, G., Jones, J., & Nigro, P. (1998). Mutual fund shareholders: Characteristics, investor knowledge, and sources of information. Financial Services Review, 7, 301-316. doi:10.1016/S1057-0810(99)00023-2

  • Ananth, S., & Gurunathan, K. B. (2016). Performance of national pension scheme in India. International Journal of Research in Commerce, IT & Management, 6(7), 13-16.

  • Barber, B. M., & Odean, T. (2001). Boys will be boys: Gender, overconfidence, and common stock investment. Quarterly Journal of Economics, 116(1), 261-292.

  • Barclay, D., Higgins, C., & Thompson, R. (1995). The partial least squares (PLS) approach to casual modeling: Personal computer adoption and use as an illustration.

  • Barik, B. K. (2015). Analysis of mutual fund pension schemes & national pension scheme for retirement planning. International Journal of Business and Administration Research Review, 3(11), 102-108.

  • Bashir, T., Ahmed, H. R., Jahangir, S., Zaigham, S., Saeed, H., & Shafi, S. (2013). Investment preferences and risk level: Behavior of salaried individuals. IOSR Journal of Business and Management (IOSR-JBM), 10(1), 68-78.

  • Bhambure, V. A. (2013). A study on customer preferences in Pune city of pension & retirement products offered by selected insurance companies (Doctoral thesis, S.N.D.T Women’s University, Pune, India).

  • Bodie, Z., & Crane, D. (1997). Personal investing: Advice, theory, and evidence. Financial Analysts Journal, 53(6), 13-23. Retrieved February 14, 2020, from www.jstor.org/stable/4480036

  • Borghans, L., Golsteyn, B. H. H., Heckman, J. J., & Meijers, H. (2009). Gender diffrences in risk aversion and ambiguity aversion. Cambridge.

  • Clark, G. L., & Strauss, K. (2008). Pension-related individual risk propensity, and the effects of socio-socio-economic characteristics and a spousal pension entitlement. Ageing and Society, 28, 847-874.

  • Coakes, S. J., & Ong, C. (2011). SPSS version 18.0 for windows (version 18.0). Australia: John Wiley and Sons.

  • Eronimus, A. (2015). A study on national pension scheme (nps) in india with special reference to pension subscribers in Tamil Nadu (Doctoral thesis, University of Madras, Chennai, India).

  • Field, A. (2005). Discovering statistics using SPSS (2nd ed.). Sage Publications, Inc.

  • Fornell, C., & Larcker, D. F. (1981). Structural equation models with unobservable variables and measurement error: Algebra and statistics.

  • Gerrans, P. (2012). Retirement savings investment choices in response to the global financial crisis: Australian evidence. Australian Journal of Management, 37(3), 415-439.

  • Guiso, L., Haliassos, M., & Jappelli, T. (2003). Stockholding in Europe: Where do we stand and where do we go? Economic Policy, 18, 124-170. doi:10.1111/1468-0327.00104

  • Hair, J. F., Black, W. C., Babin, B. J., & Anderson, R. E. (2010). Multivariate data analysis (7th ed.). New York: Pearson.

  • Hulland, J. (1999). Use of partial least squares (PLS) in strategic management research: A review of four recent studies. Strategic Management Journal, 20(2), 195-204.

  • Imam, A. (2011). Pension fund management in India: Government role and regulatory issues. International Journal of Multidisciplinary Research, 1(7), 377-387.

  • Investment & Pensions Asia. (2010). Building India’s future pension systems.

  • Jianakoplos, N., & Bernasek, A. (2006). Financial risk taking by age and birth cohort. Southern Economic Journal, 72(4), 981-1001. doi:10.2307/20111864

  • Joo, S. H., & Pauwels, V. (2002). Factors affecting workers’ retirement confidence: A gender perspective. Journal of Financial Counseling and Planning, 13(2).

  • Kapoor, A. (2018). National Pension Scheme (NPS) – Pension saving scheme for every citizen. Research Review International Journal of Multidisciplinary, 3(6), 178-184.

  • Kulkarni, M. (2014). A study of investment behaviour based on demographics. Journal of Commerce and Accounting Research, 3(4), 47-54. Retrieved from http://www.i-scholar.in/index.php/jcar/article/view/84984

  • Kumar, P., & Kumar, S. (2021). Determinants of risk appetite of women investors: Evidence from survey. Journal of Commerce and Accounting Research, 10(1), 41-51. Retrieved from http://www.i-scholar.in/index.php/jcar/article/view/208359

  • Lutfi. (2010). The relationship between socio-economic factors and investment decisions in Surabaya. Journal of Economics, Business and Accountancy Ventura, 13(3), 213-224.

  • Mahanti, A., Tripathy, S. K., & Sundaray, B. K. (2017). Perception towards the acceptability and implementation of the new pension scheme: A study in the state of Odisha. International Research Journal of Management Science & Technology, 8(6), 134-149.

  • Malhotra, N. K. (2007). Marketing research: An applied orientation. Upper Saddle River, NJ: Pearson/Prentice Hall.

  • Malhotra, C., & Anand, V. (2017). National pension scheme: An effective tool for saving tax, 264-268.

  • Mansor, M. F., Hong, C. C., Abu, N. H., & Shaari, M. S. (2015). Socio-economic factors associated with retirement planning: A study of employees in Malaysian health sectors. Asian Social Science, 11(13), 108-116. doi:https://doi.org/10.5539/ass.v11n13p108

  • McInish, T. (1982). Individual investors and risk-taking. Journal of Economic Psychology, 2, 125-136.

  • Ministry of Finance. (2011). Pension fund regulatory and development authority bill, 2011. New Delhi: Lok Sabha Secretariat.

  • Mitchell, O. S., Mottola, G. R., Utkus, S. P., & Yamaguchi, T. (2006). The Inattentive Participant: Portfolio Trading Behavior in 401(k) Plans. University of Michigan:Michigan Retirement Research Center Working Paper No. 2006-115.

  • Natarajan, K. (2006). Tax planning of salaried assessees: A study in Erode District of Tamil Nadu. Bharathiar University, Tamil Nadu, India.

  • Patel, Y. P., & Patel, C. Y. (2012). A study of investment perspective of salaried people (private sector). Asia Pacific Journal of Marketing & Management Review, 1(2), 126-146.

  • Petkoska, J., & Earl, J. K. (2009). Understanding the influence of socio-economic and psychological variables on retirement planning. Psychology and Aging, 24(1), 245-251. doi:https://doi.org/10.1037/a0014096

  • Ramesh, S. (2017). Pension plans awareness among private sector employees – An empirical study. Parikalpana: KIIT Journal of Management, 67-78. doi:https://doi.org/DOI # 10.23862/kiit-parikalpana/2017/v13/i2/164522

  • Sadiq, M. N., & Ishaq, H. M. (2014). The effect of socio-economic factors on the behavior of investors during the choice of investment: Evidence from twin cities of Pakistan. Global Journal of Management and Business Research, 14(3), 47-56.

  • Sharma, P. (2021). Factors affecting investment decision of working women of emerging nations: Special reference to Indian metro cities. Journal of Commerce and Accounting Research, 10(1), 58-66. Retrieved from http://www.i-scholar.in/index.php/jcar/article/view/208361

  • Singh, S. (2014). A study of investors perception towards pension schemes in India. (Doctoral thesis, University of Lucknow, Lucknow, India ).

  • Strong, N., & Taylor, N. (2001). Time diversification: Empirical tests. Journal of Business Finance and Accounting, 28(3), 263-302.

  • United Nations Population Fund (UNFPA). (2017). Caring for our elders: Early responses. New Delhi.


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  • Identifying Factors Influencing Subscribers’ Perception Towards Investment in National Pension Scheme

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Authors

Rajinder Kaur
Research Scholar, Department of Commerce, Punjabi University, Patiala, Punjab, India

Abstract


NPS is South Asia’s first defined contribution pension scheme that provides various facilities, such as personal retirement account, scheme choices, professional fund management institutes, and account transfer option to the organised as well as the unorganised sector of the country. The study seeks to explore the factors influencing investment in NPS and to examine the perception of NPS subscribers in the organised as well as the unorganised sector, in terms of socio-economic factors. Exploratory factor analysis, t-test, and one-way ANOVA were used to analyse the data. The study revealed that the unorganised sector respondents are more in favour of NPS than those in the organised sector. It was also observed that gender, age, and monthly income have a significant relation with factors of NPS in both the sectors, but education qualification does not show any significant relation with NPS factors in the organised sector. The paper has implications for the government, fund managers, and pension policy makers.

Keywords


NPS, Organised Sector, Unorganised Sector, Socio-economic Factors, Subscribers’ Perception

References