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The Influence of Demographic Characteristics on Investment on Financially Included Youth in Nyeri and Kirinyaga Counties

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  • Richard M. Kiai

    ()

  • Stephen I. Ng’ang’a
  • Josphat K. Kinyanjui
  • David N. Kiragu

Abstract

The purpose of this study was to find out the influence demographic characteristics on investment on financially included youth in Nyeri and Kirinyaga Counties. The target population was Kenyan youth from Kirinyaga and Nyeri Counties. The study used a descriptive survey research design where sample size was 463 respondents. A questionnaire was used to collect the data. A cross tabulation of investment and demographic characteristics showed differences between those who had invested and those had not. The study then tested whether the difference was statistically significant using chi-square of demographic characteristics and investment. The results indicated that Gender, Age, Marital Status and Level of Education were statistically significant in influencing investment on financially included youth. Place of residence though it had influence, it was not statistically significant. This study concluded that demographic characteristics have influence on investment. The study recommends that financial institutions take into consideration demographic characteristics while designing their services.

Suggested Citation

  • Richard M. Kiai & Stephen I. Ng’ang’a & Josphat K. Kinyanjui & David N. Kiragu, 2016. "The Influence of Demographic Characteristics on Investment on Financially Included Youth in Nyeri and Kirinyaga Counties," International Journal of Academic Research in Accounting, Finance and Management Sciences, Human Resource Management Academic Research Society, International Journal of Academic Research in Accounting, Finance and Management Sciences, vol. 6(4), pages 196-204, October.
    • Handle: RePEc:hur:ijaraf:v:6:y:2016:i:4:p:196-204
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    References listed on IDEAS

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    1. Ashraf, Nava & Karlan, Dean & Yin, Wesley, 2010. "Female Empowerment: Impact of a Commitment Savings Product in the Philippines," World Development, Elsevier, vol. 38(3), pages 333-344, March.
    2. Gary S. Becker & Nigel Tomes, 1994. "Human Capital and the Rise and Fall of Families," NBER Chapters,in: Human Capital: A Theoretical and Empirical Analysis with Special Reference to Education (3rd Edition), pages 257-298 National Bureau of Economic Research, Inc.
    3. Seif Obeid Al-Shbiel & Muhannad Akram Ahmad, 2016. "A Theoretical Discussion of Electronic Banking in Jordan by Integrating Technology Acceptance Model and Theory of Planned Behavior," International Journal of Academic Research in Accounting, Finance and Management Sciences, Human Resource Management Academic Research Society, International Journal of Academic Research in Accounting, Finance and Management Sciences, vol. 6(3), pages 272-284, July.
    4. Becker, Gary S & Tomes, Nigel, 1979. "An Equilibrium Theory of the Distribution of Income and Intergenerational Mobility," Journal of Political Economy, University of Chicago Press, vol. 87(6), pages 1153-1189, December.
    5. Noelia Camara & Ximena Pena & David Tuesta, 2014. "Factors that Matter for Financial Inclusion: Evidence from Peru," Working Papers 1409, BBVA Bank, Economic Research Department.
    6. Ardic, Oya Pinar & Heimann, Maximilien & Mylenko, Nataliya, 2011. "Access to financial services and the financial inclusion agenda around the world : a cross-country analysis with a new data set," Policy Research Working Paper Series 5537, The World Bank.
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