FACTORS INFLUENCING EMPLOYEES PREPAREDNESS FOR RETIREMENT. A CASE OF EMPLOYEES OF PUBLIC INSTITUTIONS WITHIN MOMBASA COUNTY, KENYA KAHURIA NELSON NYORO BUS-3-7631-3/2012 A RESERCH PROPOSAL SUBMITTED IN PATRTIAL FULLFILMENT OF THE REQUIREMENTS FOR THE AWARD OF THE DEGREE OF MASTER OF BUSINESS ADMINISTRATION OF KENYA METHODIST UNIVERSITY
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FACTORS INFLUENCING EMPLOYEES PREPAREDNESS FOR
RETIREMENT.
A CASE OF EMPLOYEES OF PUBLIC INSTITUTIONS WITHIN
MOMBASA COUNTY, KENYA
KAHURIA NELSON NYORO
BUS-3-7631-3/2012
A RESERCH PROPOSAL SUBMITTED IN PATRTIAL FULLFILMENT OF THE
REQUIREMENTS FOR THE AWARD OF THE DEGREE OF MASTER OF BUSINESS
ADMINISTRATION OF KENYA METHODIST UNIVERSITY
OCTOBER, 2014
2
DECLARATION
This research proposal is my original work and has not been
presented for a degree or a Diploma in any other examination
body. No part of this project may be reproduced without the prior
permission of the author and/or the University.
Nelson Nyoro Kahuria ……………………….. ………………
BUS-3-7631-3/2012 Sign
Date
Declaration by Supervisors
This research proposal has been submitted for examination with
our approval as University Supervisor(s).
Name of supervisor Eric Mathuva ………………………..
………………
Sign Date
i
Rosemary Muriiki …………………………
………………
Sign Date
DEDICATION
I dedicate this proposal to God for giving me life and hope. I
also dedicate it to my wife Charity and my daughter Njoki.
ii
ACKNOWLEDGEMENT
This proposal would not have been complete without the critical
guidance and insight of my supervisors Mr. Eric Mathuva and Mrs.
Rosemary Muriiki. I also acknowledge the support of my colleagues
who provided the much need peer support.
iii
ABBREVIATIONS
HRS Health and Retirement Study
FPRS Financial Preparedness for Retirement Scale
KPA Kenya Ports Authority
iv
RBA Retirement Benefit Authority
SACCO Savings and Credit Cooperative Societies
SPSS Statistical Package for Social Sciences
ABSTRACT
v
Life in retirement is a major concern for developing countries,Kenya included particularly with regard to the quality of livesthat the retirees live once out of employment. Empirical datasuggests that there a cadre of employees whose lives takes adrastic change for the worse on leaving their jobs due toinadequate preparation for life in retirement. In Kenya,employees of certain parastatals stand accused living large whileon employment but are ill prepared for life after employment. Adescriptive survey study is designed to show how employees ofKenya Ports Authority (KPA) prepare for retirement. A sample of56 employees of the parastatal will be selected using purposiveand stratified random sampling method to respond to questionnaireitems intended to gauge aspects of their preparation for life inretirement. Data obtained will then be analyzed descriptivelyusing frequency and percentage as well as inferentially usingregression analysis with the aid of statistical Package forSocial Sciences (SPSS) computer software to determine factorsthat influence employees preparedness for retirement..
on savings and plans to save is critical for effective long term
financial decision making that is relevant to pension funds
(Gitari, 2012).
The Retirement Confidence Survey conducted by Helman and
Greenwald (2013) reports that only 23 percent of pre-retirees in
South Africa who obtained advice on retirement planning which
suggests that three out of four people might have little idea of
how much to save for retirement. Without a savings goal a
comfortable retirement is unlikely, even for the rich. This gives
credence to a study by Felicity Duncan (2014) shows that South
Africans don’t save enough for retirement. According to a survey
by Benchmark (2014), an annual review of the retirement industry,
only 29 percent of South African retirees who are members of
funds are able to maintain their standard of living when they
21
retire; that falls to 10 percent when all retirement age South
Africans are considered. And even that statistic obscures the
true nature of South Africa’s retirement landscape. OECD (2005),
defines financial literacy as the combination of consumers and
investors understanding of financial products and concepts and
their ability and confidence to appreciate financial risks and
opportunities, to make informed choices, to know where to go for
help, and to take other effective actions to improve their
financial well-being (Miller et al., 2009).
Onyango (2008) in his study observed that having knowledge of
retirement issues is positively related to attitude toward
retirement. Studies have found that those who believe that they
know more about financial planning are more likely to have
prepared for retirement. Garret et al (2003) while analyzing
other studies concluded that training and intervention programs
designed to boost financial knowledge should improve financial
preparedness by triggering advanced planning activities.
According to Taylor (1997) retirement education could improve
employees’ knowledge and behaviors related to retirement
22
planning, and in turn, attitudes toward retirement and
preparation for retirement. Bernheim and Garrett (2003) in their
study investigated cross-sectional relationships between the
availability of financial education provided by employers and
savings. They found that employer-based financial education
increased both saving in general and saving for retirement.
Further, the study found that brief training programs stimulated
individual’s saving behaviors and decision-making competencies.
Clark and d’Ambrosio (2003) investigated the effects of one-hour
retirement seminars on retirement attitudes and behaviors. They
found that participation in seminars changed individual’s
retirement goals and retirement savings behaviors in a positive
way. Similarly, Taylor-Carter et al (1997) found that informal
financial planning had a positive effect on anticipated financial
expectation and that formal retirement education seminars which
included financial management had positive effects on anticipated
retirement satisfaction. According to Chan and Stevens (2008)
households base pension and retirement saving decisions upon
limited and sometimes incorrect pension knowledge. One may argue
23
whether financial literacy affects knowledge of pensions and
Social Security benefits.
A study by Gustman, Steinmeier and Tabatabai (2010) indicates
that there is no any direct relationship between basic cognitive
skills (numeracy) and knowledge of retirement plan
characteristics and Social Security. While there is a positive
relationship between pension wealth and knowledge. The study
argues that the causality is more likely to run from pension
wealth to pension knowledge than the other way around, and that
the positive numeracy–wealth relationship should not be taken as
evidence that increasing cognitive skills and numeracy will
increase the wealth of households as they enter into retirement.
A study carried by Bernheim (1998) was among the first to note
that policymakers and researchers might have overlooked the
importance of financial literacy to explain savings and
differences in saving behaviour. Since then many studies have
emphasized the role of financial
24
knowledge but, in the absence of specific literacy measures,
resort to crude proxies. The disadvantage of these proxies is
that there is no way to disentangle the effect of financial
literacy from the effect of the proxy variable. For example, by
using education as a measure of financial literacy, one is not
able to separate the independent effect of financial knowledge
from the impact of the education level, per se; in many
regressions, education also serves as a proxy for lifetime
income.
In the past few years researchers have increased their efforts to
develop specific measures of financial knowledge and have also
investigated the relationship between financial literacy and
financial decision-making. Hilgert, Hogarth and Beverly (2003)
developed a set of true/false questions to measure financial
knowledge and explored the relationship between financial
knowledge and money management. Lusardi and Mitchell (2011)
pioneered a module to measure financial literacy that was part of
the 2004 Health and Retirement Study (HRS). They showed there is
strong positive association between financial literacy and
25
retirement planning. According to Kefela (2010), financial
knowledge is directly correlated with self-beneficial financial
behavior and so financial education should take a wholesome
perspective to include the fundamentals of finance since without
understanding the basic finance principles, pension education
would be ineffective. In the words of Kefela (2010,), “
participants who are less financially literate are more likely to
have problems with debt, are less likely to save, are more likely
to engage in high cost mortgages and are less likely to plan for
retirement” and by extension are less likely to make better
choices for their pension schemes.
2.3.3 Sacco Membership
Savings and Credit Cooperative societies (SACCOS) are voluntary
associations or cooperative financial institution owned and
controlled by their members and operated for the purposes of
promoting saving, providing credit at low interest rates and
providing other financial services to its members (Waweru 2011).
Members regularly pool their savings, and subsequently may obtain
loans which they may use for different purposes. Generally, the
26
idea behind establishment of SACCOS is to promote savings and
make credits available to the members. SACCOS are the important
micro-financing institutions for mobilization of financial
resources for various development activities.
Co-operatives are autonomous association of persons united
voluntarily to meet their common economic, social, cultural needs
and aspiration through a jointly owned, democratically controlled
enterprise (RoK, 2008). As mentioned above, the sole objective of
these societies involves mobilization of resources from which
individual co-operators may benefit. Generally, co-operatives are
organized into service and producer cooperatives (Branco, 2005).
In Africa, the idea of saving and credit societies was first
described and discussed in 1955 in Jipara, a small town the upper
west town of Ghana, the idea was brought by the Roman Catholic
priest, Father John McNulty from Ireland. He decided to assist
this village to form a saving and co-operative, he then trained
60 people mainly teachers. The success Jipara story has been
widely replicated throughout the African continent (Alila & Obado
27
1990).Cooperative societies are characterized by the intrinsic
values and principles on which they are founded. They are based
on the values of self-help, self-responsibility, democracy,
equality, equity, and solidarity. The end product of these co-
operatives is to attain the high living standards of its members.
RBA (2010) carried out a research where a sample of employees
drawn from the members of the different pension schemes across
Kenya was interviewed. The results indicated that the pension
scheme members have higher level of knowledge on pension scheme
practices than general financial literacy issues and identify the
lack of forum for involvement and lack of understanding of
pension fund matters as the major hindrances to participation in
pension scheme affairs, both of which can be addressed through
appropriate finance and pension literacy programs. Keven( 2012)
alludes that to be a billionaire is not an easy thing, but women
and men in Kimilili District have found an alternative way to
conquer this dilema through self-help initiatives or groups
commonly referred to as Chama’s. In the society that sees white
collar jobs, as the only way to gain financial independence and
28
bring home money today, the women and men have come together to
form groups (Chama’s) to empower and cushion themselves against
these tough times.
2.3.4 Financial Lifecycle
The Study by BMO institute (2012) illustrated that time
remaining to retirement, and not age, is a key indicator of an
individual’s financial preparedness for retirement. The Study
indicates that young adults under the age of 35 are the least
prepared, based on an analysis that considered attitudes and
behaviour as key measurements for financial preparedness for
retirement. These findings can be helpful to the younger
generations as common wisdom states that the earlier people start
to save for retirement, the greater the potential that they will
achieve future financial security. Tina (2012) in her study
observed that the closer people are to their target retirement
date, the more likely they are to be prepared for retirement.
However, the Research indicates that the key indicator is the
time remaining to retirement, not the actual age of the
individual. For example, in certain cases, it may be possible for
29
a younger person to actually have less time before his or her
desired retirement age than an older person (i.e., a 40-year-old
who desires to retire at the age of 50, and therefore has ten
years left before retirement, compared with a 50-year-old who
aims to retire at the age of 65, and therefore has 15 years
left). Nevertheless, as expected, the Research based on attitudes
and behaviour concluded that the youngest generation of adults is
the least prepared for retirement, because in all probability,
their retirement date is the furthest away. Interestingly, the
Study findings suggest that young adults under the age of 35 may
be overly optimistic, since as many as 41 per cent expect to
retire early (i.e. before age 60) In addition to the time
remaining until the target retirement date, the Research revealed
that a person’s level of education was another indicator of
financial preparedness for retirement It was found that higher
levels of education can greatly influence people’s motivation and
involvement in taking a more active role in planning their
retirement by, for example, attending seminars or consulting
financial planners, which are behaviors that increase basic
financial education and empower people to make sound financial
30
decisions and take action accordingly .This is why improving the
financial literacy of all Canadians is so important, and it may
also explain why government and financial institutions have taken
an active role in advocating the promotion of financial literacy
through diverse national campaigns and initiatives.
According to Tina (2012) in her study indicates that young
adults under the age of 35 are the least prepared, based on an
analysis that considered attitudes and behaviors as key
measurements for financial preparedness for retirement. These
findings can be helpful to the younger generations as common
wisdom states that the earlier people start to save for
retirement, the greater the potential that they will achieve
future financial security. Strengthening efforts at improving
their financial education can go a long way to modifying
attitudes and behaviors so that their level of involvement may
increase sufficiently to drive positive information-seeking
behavior and lead them to take action. Onyango (2008), in his
article What Price Pension Reform if Retirees Remain Poor?
Observed that quite often, the elderly people were not
31
necessarily poor when younger . Old age poverty comes about
because, safe and reliable long term savings are rare and they
rarely provide opportunities to convert lump sum savings into
annuities or other instruments which provide a stream of payments
throughout one’s retirement.
According to a study by BMO Institute (2012), to help adequately
prepare for retirement, a person may need to be excited about the
prospects of retiring to become motivated to seek information and
advice, and finally to take action to save for retirement. The
stronger the attitudes and behaviors are before taking the actual
step of saving in retirement accounts, the greater the likelihood
that the chosen financial action will help ensure a comfortable
future retirement. This means that attitudes and behaviors can be
strong predictors of financial preparedness for retirement, and
the earlier these can be shaped, the better prepared a person can
be for retirement.
Carroll (1997), In his study, precautionary saving, has shown
that people with uncertain future earnings who are sufficiently
32
prudent will never borrow, if there is the possibility, however
remote, that they will not earn enough to be able to repay their
debts. If such people expect their earnings to grow over time,
they will nevertheless keep their consumption within their
current incomes, thus inducing a close articulation, or
“tracking,” between consumption and income. In this case,
although people are maximizing their expected life time utility,
as postulated by the life-cycle theory under uncertainty, their
consumption is effectively constrained by their current incomes.
Such behavior is directly contrary to one of the central insights
of the Modigliani model, that the profile of consumption can be
detached from the profile of income, and much more like the pre-
Modigliani and Keynesian accounts of saving.
Very much the same result can be obtained in a theoretical model
in which people want to borrow but cannot. People can save to
smooth out their consumption, but they cannot have consumption
greater than their income, except when they already have some
assets in the bank. In these extreme precautionary or “liquidity
constrained” accounts of saving, consumption is smoothed, not
33
over the whole life-cycle, but over much shorter periods of a few
years at a time.
2.4 Conceptual Frame work
The conceptual framework for this study consists of Age , level
of income, level of education, financial literacy, SACCO
membership and club membership as independent variables and
preparation for retirement as the dependent variable as is
illustrated in Figure 1.
Figure 2.1 Elements of Conceptual framework. (Self - 2014)
34
Demograph
ics/ bio
Sacco/
Club
Financial
Literacy
Financia
l life-
Preparation for
RetirementLife style
(Consumption
habits)
All the elements under study are significant in determining how
an employee prepare for retirement. Many scholars have alluded to
the fact that employees with very little income have very
difficult balancing consumption and savings. That means that
employers need to look at their pay structure to support
employees ability to spare some money for retire. However it is
possible for people earning the same amount of money to prepare
differently for retirement because of their lifestyles
(Consumption Habits). Similarly the number of dependents one has
influences the consumption level and thus the amount saved for
retirement. While preparation for retirement is seen by many as a
personal matter scholars agree that investment groups and chamas
help their members to plan for retirement. Chamas and investment
groups provide avenues for saving, investing and provide
financial information. Financial literacy is the variable
considered most significant in supporting one to prepare for
retirement. In fact financial literacy is rated higher than the
socio demographic factors as observed by many scholars. Financial
lifecycle has been considered by scholars as a factor stronger
than age. It has been argued that the closer one is to retirement
the more prepared they are to retire stronger than their age.
That basically means a person planning to retire young will
prepare for retirement more than their age mate or even older
people who want to stay longer in employment. This study will
examine how these factors influence the employees of KPA and the
extent to which other factors might influence their preparation.
35
2.5 Operationalization frame work.
The purpose of operationalization is to develop measurement
criteria that will be used in assessing the factors that
influence how the employees of the KPA prepare for retirement.
The various dependent variable identified in the conceptual
framework are given more observable and measurable indicators by
a way of extending them further.
36
Retiremen
t
Preparati
on
Demographic
characteris
tics
Financial
Groups
Access tocredit
Savingmobilizations
Level ofincome
Family size Level of
Financial plans Investments in
money andcapitalmarkets
Investments in
Figure 2.2 Operational framework. (Self 2014)
CHAPTER THREE: RESEARCH METHODOLOGY
3.1 Introduction
37
Financial
Literacy
Financial
Lifecycle Years to
retirement Total Net worth
This chapter discusses in detail the research methodology that is
to be used to enable the researcher study factors that influence
employees preparedness for their retirement. It includes research
design, target population, sample size, data collection
instruments, data collection procedure and analysis plan.
3.2 Research Design
The researcher will employ descriptive survey design to make an
inference on the factors that influence employees’ preparedness
for retirement. According to Mugenda and Mugenda (1999) a survey
is an attempt to collect data from members of a population in
order to determine the current status of that population with
respect to one or more variables. Descriptive research design is
a scientific method which involves observing and describing the
behavior of a subject without influencing it in any way. It is a
valid method for researching specific subjects and as a precursor
to more quantitative studies. Descriptive studies report summary
data such as measures of central tendency including the mean,
median, mode, deviance from the mean, variation, percentage, and
correlation between variables. Survey research commonly includes
38
that type of measurement, but often goes beyond the descriptive
statistics in order to draw inferences (Signer's, 1991) .Whilst
there are some valid concerns about the statistical validity, as
long as the limitations are understood by the researcher, this
type of study is an invaluable scientific tool.
3.3 Target Population
A population refers to an entire group of individuals, events or
objects having a common observable characteristic (Mugenda and
Mugenda, 1999). The population for this study comprises of the
7044 employees of KPA, 289 of Kenya Ferry service, 1018 of
Technical University of Mombasa and 4700 from the County
government of Mombasa totalling to 13,051.
3.4 Sampling Technique and Sample Size
A sample is any number of cases less than the total number of
cases in the population from which it is drawn (Ingule and
39
Gatumu, 1996). The sample size will be calculated based on
Yamane’s formula
n = N/(1+Ne2) where:
n= the sample size; N= the size of population; e= the error of 5
percentage points
n=13051 / (1+13051x0.052)
= 388.
Sampling saves time and expenses of studying the entire
population (Borg and Gall, 1989). It is the procedure a
researcher uses to gather people, places or things to study or
the process of selecting a number of individuals or objects from
a population such that the selected group contains elements
representative of the characteristics found in the entire group.
The researcher will use stratified random sampling technique in
selecting the sample representative of the entire workers
population in the selected public institutions. The population
would first be divided into mutually exclusive groups that are
relevant and appropriate and meaningful in the context of the
40
study (Mbwesa, 2006). Table 3.1 gives the sampling frame for the
entire study population.
Table 3.1. Sampling Frame
Institution TotalPopulation
SampledPopulation
1Technical University ofMombasa 1018 30
2 Kenya Ferry Service 289 93 Kenya Ports Authority 7044 209
4County Government ofMombasa 4700 140
TOTAL NO. OF EMPLOYEES 13051 388
According to information contained in Table 3.1, a sample of 388
respondents will be drawn from a total of 13,051 employees of the
four public institutions using stratified random sampling.
Similarly, workers from each of the institutions will be
stratified into various department and proportionate samples
drawn from each institution.
3.5 Data Collection Instruments
The research will make use of both primary and secondary data.
For primary data, two methods will be used as tools for gathering
data. These will be questionnaires, interviews. Questionnaires41
will be particularly preferred since they save time and expenses
which would otherwise be incurred going to the port for many
days. They also increase the chances of getting honest responses
as they provide anonymity of the respondent. The researcher will
also use observation schedules with a few items on how the port
workers behave when in their membership clubs.
The instruments will be prepared in a manner that ensures
validity and reliability of the data so collected. Validity of
research instrument refers to the extent to which a test or
instrument measures what it was intended or supposed to measure
(Mbwesa, 2006). While Reliability of research instruments refers
to the degree to which a research instrument yields consistent
results or data after repeated trials (Mugenda and Mugenda,
1999).
3.6 Data Collection Procedures
After sampling and ensuring of content validity, the researcher
will obtain authority to carry out the study from the Kenya
Methodist University, through the academic supervisors which will
42
enable the researcher to apply for a permit from the KPA. This
will be preceded with the preparation of the research
instruments, testing them and ensure that they are admissible.
This research study will rely on both primary and secondary
sources of data. The primary data will be collected through
questionnaires and through interview schedules. The secondary
data will be collected from archival data got from the SACCOs,
clubs and the Human resource department.
3.7 Ethical considerations
The researcher will adhere to all ethical standards in the course
of the study. The information obtained will be treated with
utmost confidentiality given that its very nature is intimate to
the respondents and is private. This information will thus be
coded to ensure that it does not pose any embarrassment to the
respondent. This is one of the values upon which the respondents
will be willing to respondent to the questions with confidence.
3.8 Data Analysis Plan
43
Data analysis refers to examining what has been collected in a
survey or experiment, and making
deductions and inferences (Kombo and Tromp, 2006). It also refers
to a variety of activities and
processes that a researcher administers to a database in order to
draw conclusions and make certain decisions regarding the data
collected from the field. Activities of analysis involve
summarizing large quantities of raw data, categorizing,
rearranging and ordering data (Mbwesa,
2006).
The data gathered will be analyzed by use of Statistical Package
for Social Sciences (SPSS). The raw data collected will be
treated. This method will include cleaning, coding, data base
creation and analysis. Results of the analysis will be presented
using frequency distribution tables. The relationships will be
investigated using regression analysis. The value of the
coefficient of correlation (R) will be computed to determine the
magnitude and direction of the relationship. The model
44
constructed using the conceptual framework earlier discussed is
as follows:
Y = β0 + β1X1 + β2X2+ β3X3+ β4X4 + ε
Y is the dependent variable representing retirement preparedness;
β0 is a constant factor which is also the value of the dependent
variable when X1, X2, X3, X4 are equal to zero. X1 is the
demographics or bio data of the employees, X2 is the membership
to financial grouping variable, X3 is level of financial literacy
variable and X4 is the financial lifecycle all associated with
preparation to retirement as being explored in this study. β1, β2,
β3 and β4 are constants associated with X1, X2, X3, and X4
respectively. Random error ε represents all other minor effects
on the model which have not been captured. The measures that will
be used in this study will be derived from several criteria,
which have been conceptualized and used in previous empirical
studies on retirement (Danaher & Mattson, 1994).
REFERENCES
45
Alessie, R. and Lusardi, A. ( 2011). Financial literacy adretirement preparation
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Agarwal, S., and D. Laibson, (2009) The age of reason: Financialdecisions over the lifecycle, Brookings Papers on Economic Activity,Fall 2009, 51-101.
Lusardi, A. and O. Mitchell,( 2009). How ordinary consumers makecomplex economic decisions: Financial literacy and retirementreadiness, NBER Working Paper, 15350.
Binswanger, J., and D. Schunk,( 2008). What is an adequatestandard of living during retirement?, CentER Discussion Paper,82.
Bovenberg, L. and C. Teulings, 2007, Saving and investing overthe life cycle and the role of collective pension funds, DeEconomist, 155, 347-415.
Agnew, J., and J. Young, (2007) Literacy, Trust and 401(k) SavingsBehavior. Boston; Center for Retirement Research.
Franco Modigliani (2005). The Life Cycle Theory of Consumption. Rome;Convegno Internazionale
Ameriks, J., & S. Zeldes (2004) How do household portfolio sharesvary with age?, mimeo,
Columbia Graduate School of Business.
Thaler, and Shlomo Benartzi, ( 2004). Save more tomorrow,Journal of Political Economy, London
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Hilgert, M. and S. Beverly,( 2003). Household financialmanagement: The connection between knowledge and behavior,Federal Reserve Bulletin, 309-322.
Bernheim, D., and D. Garrett,( 2003) The effects of financialeducation in the workplace: Evidence from a survey ofhouseholds. Journal of Public Economics,
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Bernheim, D.,& D. Maki, (2001). Education and saving: The long-term effects of high school financial curriculum mandates,Journal of Public Economics, 80, 435-565.
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APPENDICES
Appendix I Questionnaire
Please fill this questionnaire openly and honestly.Confidentiality will be strictly adhered to, and there will be nomention of your personal name. Provide the following informationby ticking or writing in the appropriate box/ space.