Volume 3; Issue 2 Manuscript- 1 - IJMST
Transcript of Volume 3; Issue 2 Manuscript- 1 - IJMST
Volume 3; Issue 2
Manuscript- 1
“EVALUATION OF MANAGEMENT OF CDF ON THE ECONOMIC
WELFARE OF COSTITUENTS OF SIAYA COUNTY”
www.ijmst.com March 2015
International Journal for Management Science
And Technology (IJMST)
ISSN: 2320-8848 (Online)
ISSN: 2321-0362 (Print)
Joseph Oduor Atieno
Lecturer & PhD Student,
Jomo Kenyatta University of Agriculture &
Technology, Kenya
Mr. Gerishom Wafula Manase
Lecturer & PhD Student,
Jomo Kenyatta University of Agriculture &
Technology, Kenya
Margret Omondi
Lecturer & PhD Student,
Jomo Kenyatta University of Agriculture &
Technology, Kenya
Francis Omondi Anachoni
Lecturer & PhD Student,
Jomo Kenyatta University of Agriculture &
Technology, Kenya
Mr. Oscar Sangoro
Lecturer
Mount Kenya University, Kenya
International Journal for Management Science and Technology (IJMST) Vol. 3; Issue 2
ISSN: 2320-8848(O.)/2321-0362(P.) Page 2 March, 2015
Abstract
In his second year in power, President Kibaki introduced the Constituency Development
Fund (CDF).The implementation of CDF has been marred by repeated accusation of abuse of
funds, patronage due to excessive powers of the MP, incomplete projects, a lack of technical
capacity, poor planning and a litany of other weaknesses which threaten to undermine the
very success of the fund. Gem constituency therefore remains one of the relatively poor
constituencies in Siaya County. It is on the basis of such malpractices that the study sought to
evaluate the management of CDF on the economic welfare of the people of Gem
constituency. The research design was descriptive survey. The target population was 50,016
people in Gem constituency. The sample size was 397. The researcher cluster and purposive
sampling technique to select the respondents. Research instruments were questionnaires,
structured interviews and document analysis. The data was analyzed and presented using pie
charts, tables, bar graphs, line graphs. The findings showed that CDF management had
reasonable impact on the economic welfare of Gem constituents. The study recommends that
CDF management needs to involve all the stakeholders on economic development issues and
expand the level of fund provisions to the various projects in the constituency.
KEY WORDS: Constituency Development Fund, Economic Welfare; Management System.
1. Introduction
Parliamentary involvement in grassroots projects and in community development has been
growing in a diverse set of countries, including Jamaica, Pakistan, India, Bhutan, Ghana,
Uganda and Papua New Guinea. In Kenya, one policy tool for this involvement is
Constituency Development Fund (CDF), which dedicates public money to benefit specific
political subdivisions through allocations and/or spending decisions influenced by their
representatives in the national parliament. CDFs resemble the venerable U.S. congressional
allocations generally called “pork barrel,” “earmarks” or “member items” in national and
state-level policy making, Baskin, (2010).
After experiencing moderately high growth rates during the 1960s and 1970s, Kenya‟s
economic performance during the last two decades has been far below its potential. As a
result, per capita income continued to decline, from US$ 271 in 1990 to US$ 239 in 2002.
The number of unemployed people continued to rise. By 2006, the unemployed constituted
14.6% of the labour force, with the youth accounting for over 45% of the total. The majority
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of the unemployed, though educated, do not have the necessary skills. In addition, the number
of the working poor is staggering; comprising primarily, subsistence farmers, female headed
households and pastoralists. Disguised employment is also a serious problem especially in the
public sector, Kimani et.al, (2009)
The sharp deterioration in economic performance has worsened the poverty situation. About
46% of Kenya‟s population was living in poverty in 2006, an improvement from about 56%
in 2001 and in contrast with about 45% in 1990. The number of people living in poverty has
grown phenomenally over the last two decades, owing largely to increase in population size
and a contracting economy. Though the majority of Kenyans continue to reside in rural areas,
the number of people living in poverty is rising faster in urban areas than in rural areas.
About half of the population of Nairobi is estimated to live below the poverty line. Over this
period, the life expectancy for Kenyans has continued to decline from 58 years in 1988 to 44
years in 2003. Child and infant mortality had also arisen due to declining health standards,
Kimani et.al, (2009).
The Kenya government has historically responded to the emerging social and public
problems through the establishment of various decentralized financing mechanisms such as
Local Authority Transfer Fund (LATF) to address the underlying causes of poverty and
inequality. The study in this case seeks to focus on CDF. The CDF, which was established
through the Constituency Development Fund Act of 2003, is one of the ingenious innovations
of the NARC Government of Kenya.
CDF is an annual budgetary allocation by the Central Government to each of the country‟s
parliamentary jurisdictions-the constituencies. While there are several rules that govern the
utilization of the fund to ensure transparency and accountability, decisions over the utilization
of the funds are supposed to be mainly by the constituents. Unlike other development funds
that filter from the central government through larger and more layers of administrative
organs and bureaucracies, the funds under this program go directly to local levels.
In essence, the CDF is intended to provide individuals at the grassroots the opportunity to
make expenditure choices that maximize their welfare in line with their needs and
preferences. To the extent that the local population is better informed about their priorities,
the choices made can be expected to be more aligned to their problems and circumstances.
The CDF can therefore, be considered a decentralization scheme that provides communities
with the opportunity to make spending decisions that maximize social welfare. The CDF is an
example of what is generally referred to as CDD initiatives that empower local communities
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by providing funds often from the central government but sometimes from donor sources,
Kimani et.al (2009). Policy making on CDFs includes goals and size of the funds, the
structure of decision making on the use of the funds at all stages of implementation, oversight
of CDF operations, and the relative influence of different individuals and groups in making
policy.
The CDF is a strategy for devolution of resources. It was hoped that the strategy would
enhance people‟s participation and power in decision-making processes, promote good
governance, transparency and accountability, Kimani et.al (2009).
The CDF is one of the devolved funds in Kenya. Prior to the establishment of CDF the
constituency was solely a unit of political representation in Kenya, of which there are 210 in
the country. CDF provides that at least 2.5% of government revenue will be allocated to the
fund, which is geared towards the alleviation of poverty and promotion of local development.
Almost Kshs. 60 billion has been channeled through CDF since its inception. CDF
contributes over 10% to all development in Kenya, TISA (2009). The implementation of
CDF has however been marred by repeated accusation of abuse of funds, patronage due to
excessive powers of the MP, incomplete projects, a lack of technical capacity, poor planning
and a litany of other weaknesses which threaten to undermine the very success of the fund,
Gikonyo (2009).
Despite the CDF, Gem constituency still remains one of the poor constituencies in Siaya
County, KNBS (2009).It is on the basis of the financial malpractices that the study seeks to
evaluate the management of CDF on the economic welfare of the people of Gem
constituency.
Statement of the Problem
The Kenya government has historically responded to the emerging social and public
problems through the establishment of various decentralized financing mechanisms like
Local Authority Transfer Fund (LATF) to address the underlying causes of poverty and
inequality. The Constituency Development Fund (CDF), which was established through the
Constituency Development Fund Act of 2003, is one of the ingenious innovations of the
NARC Government of Kenya. CDF is an annual budgetary allocation by the Central
Government to each of the country‟s parliamentary jurisdictions-the constituencies. The
implementation of CDF has however been marred by repeated accusation of abuse of funds,
patronage due to excessive powers of the MP, incomplete projects, a lack of technical
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capacity and poor planning, which threaten to undermine the very success of the fund,
Gikonyo (2009). Despite the CDF, Gem constituency still remains one of the poor
constituencies in Siaya County, KNBS (2009). It is on the basis of the malpractices that the
study sought to evaluate the management of CDF on the economic welfare of the people of
Gem constituency.
Purpose of the study
The purpose of the study was to evaluate the management of CDF on the economic welfare
of the people of Gem constituency.
Research Objective
The study was to evaluate the effects of CDF on the economic welfare of the constituents.
Research Questions
What are the effects of CDF on the economic welfare of the constituents of Gem?
Significance of the study
The study is to contribute to the existing literature in the area of CDF management in Kenya
and also facilitate further research on other gaps not tackled. It is to help create community
awareness on available opportunities within the decentralized funds strategy. The study acts
as an initiative to enhance capacity of CBOs and communities to lobby and influence the
management of decentralized funds. The study also acts as a forum to advocate for increased
capacity of communities and local groupings to participate in decentralized fund processes
2. Literature Review
Review of Theories
The study was guided by the theory of Decentralization. According toFalleti,(2004), the
theory of decentralization teaches that the heterogeneity of preferences is a key determinant
of the efficiency of the public goods provision. The utilization of CDF is also expected to be
influenced by the degree of diversity. There are many parameters that capture the
heterogeneity of a community including income, economic activities, education and even
culture. Diversity is expected to influence scope of project choices.
In homogeneous communities, projects could be few but much larger in scope. Community
involvement is also much higher in more homogeneous communities, other things equal. On
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the other hand, more heterogeneous communities are likely to select many diverse projects to
cater for the diversity of preferences. Measures of population heterogeneity are therefore
necessary in order to capture variations in the characteristics of population that may impact
project choices across constituencies. Social-economic characteristics of a constituency have
a bearing on community participation. Key factor are those factors that impact on social
capital.
The average level of education in a constituency is expected to influence the involvement of
the community and also the extent to which they are able to monitor the utilization of funds.
It wasexpected that CDF projects were to be more in line with priorities in areas where the
average level of education is higher, Kimani et.al, (2009)
Likewise, religion also influenced the choice of projects and cohesiveness of a community.
This theoretical framework was therefore relevant to this study as it influenced the direction
of development in the constituency. The diversity in opinionwas seen in the projects such as
health facilities, infrastructure and even development of schools and colleges. It was on the
basis of such diversity that the study sought to evaluate the management of CDF on the
economic welfare of the people of Gem constituency.
Conceptual Framework
The conceptual framework as compiled shows the relationship between management of CDF
and welfare of Kenyans on the other hand.
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Figure 1.1: the relationship between the management of CDF and the economic welfare
of Kenyans
(Source: Owner’s compilation, 2013)
The researcher wanted to establish the relationship between management principles, strategic
planning, personnel qualifications and the welfare of Kenyans. The relationship was
moderated by factors such as interference from the MP, culture, policy and natural resources.
Empirical Review
Economic Welfare
According to Kimani et.al (2009) on Best Practices by CDF, it was established that CDF has
a great potential in transforming peoples‟ lives and turning around the Kenyan economy if
better implemented and the funds optimally utilized. Strengthening CDF is therefore not an
option but a prerequisite. Learning from the „strategies that work‟ and infusing them within
CDF implementation will add intrinsic value in promoting transparency and accountability in
CDF processes. Similar study on other funds can play a significant role in establishing some
lessons that can be synergistic in promoting bottom up development approach and achieve
the most elusive sustainable development and peace. There are indications that CDF is
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helping provide services to communities that for many years did not benefit substantially
from government services. In particular, the poor have in the past experienced serious
problems accessing basic services that are now made available through CDF. In this regard, if
the CDF initiative is properly implemented, it can play a significant role in the achievement
of the Vision 2030 objectives, which are overly geared towards enhancing economic growth
and poverty reduction.
3. Research Methodology
The research design was descriptive survey approach as it sought to describe the state of
affairs, as it existed. The researcher targeted the sixteen (16) members of the CDF committee
and the Fifty thousand (50,000) constituents, the aggregate of the two being the total
population that is to say 50.016 comprising women, youth, elderly, disabled, contractors,
local leaders like chief, Assistant Chief, Opinion leaders, beneficiaries of CDF projects and
members of the general public.
Table 3.1 Target Population
The researcher employed census for the members of the CDF Committee; both cluster and
purposive sampling technique. The sample population was 397 – using Krejcie model.
Krejcie Model.
Table 3.2 Sample sizes for given population size
Table 3.3 Sample Population
The researcher administered questionnaires and structured interviews to collect primary data
while secondary data was collected through the use of document analysis. The questionnaires
and structured interview questions were given to supervisors, lecturers and research experts
who analyzed them and confirmed that they suited the objectives of the study. A pilot study
was also carried out in Lurambi constituency which ascertained that the responses conformed
to the purpose of the study. Test-retest method where questionnaires were administered to
the respondents at two different times; a span of two weeks was allowed before giving the
second set of questionnaires to reduce chances of the respondents. Correlation coefficient
value of 0.84 was obtained to indicate reliability. Data was coded, tabulated, analyzed using
descriptive frequencies and percentages using SPSS was used to assist in further analysis then
presented by use of pie charts, tables, bar graphs, line graphs
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4. Findings
On gender, 210(53%) respondents were female while 187(47%) were male an indication that
female population was more than male population
Figure 4.1Genders of Respondents
Table 4.1Age vs. marital status
On age and marital status, findings revealed that 109 (27.5 %) respondents were in the age
group of between 18-30 and that 69 (17.5%) of the respondents were married and 40 (10%)
of the respondents were single. 149 (37.5%) respondents were in the age group of between
31-40 and that 144 (36.5%) of the respondents were married and 5 (1%) of the respondents
were single. 59 (15%) of the respondents were in the age group of between 41-50 and that 51
(13%) of the respondents were married and 8 (2%) of the respondents were single. 79 (20%)
of the respondents were in the age group of 50 and above. 71 (18%) of the respondents were
married while 8 (2%) of the respondents were single. The majorities of the respondents were
married and were in the age bracket of between 31 – 40 years.
Education vs. Employment
On Education and Employment, study revealed that 208 (52.5%) of the respondents attained
primary certificate, out of these, 129 (32.5%) were unemployed and 79 (20%) were self
employed. 109 (27.5%) of the the respondents attained secondary certificate, out of these, 39
(10%) were unemployed, 59 (15%) were employed and 10 (2.5%) were self employed. 79
(20%) of the respondents attained college certificate, out of these, 10 (2.5%) were
unemployed while 64 (17.5%) were employed.
Economic Welfare
Figure 4.3 Respondents awareness of CDF’s role
The findings indicated that 317 (80%) of the respondents were aware of the role of CDF, 69
(17.5%) of the respondents were not aware of the role of CDF and 10 (2.5%) of the
respondents were not sure of the role of CDF. The majority of the respondents were aware
about the role of CDF in the constituency. This was a clear indication that to a great extent
the respondents were reasonably informed and would therefore play an active role in keeping
the CDF management on their toes.
Respondent’s opinion on the effectiveness of CDF on community development
Figure 4.4 effectiveness of CDF on community development
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The findings were that 139 (35%) of the respondents felt that CDF has been effective in
initiating community development in the constituency, 218 (55%) of the respondents on the
other hand expressed their dissatisfaction with the effectiveness of CDF on community
development, 30 (7.5%) of the respondents did not know anything about CDF effectiveness
on community development and 10 (2.5%) of the respondents were not sure whether CDF
has been effective on community development. Majority of the respondents pointed out that
CDF had not been effective in community development. This indicated lack of involvement
of all stakeholders in decision making process by CDF management.
CDF contribution to respondent's economic welfare
Figure 4.5 CDF contributions to respondent's economic welfare
The findings indicated that 198 (50%) of the respondents agreed that CDF had contributed to
their economic welfare, 189 (47.5%) of the respondents did not agree that CDF had
contributed to their economic welfare while 10 (2.5%) of the respondents were indifferent.
Majority of the respondents agreed that CDF contributions had impacted positively on the
economic welfare of the constituents. This was therefore an indication that CDF is
succeeding in its noble role of alleviating poverty in the constituency.
Figure 4.6 Respondents’ ratings on CDF satisfaction on the constituents’ expectations
The findings indicated that 10 (2.5%) of the respondents felt that CDF rating with respect to
the satisfaction of expection was worse, 218 (55%) of the respondents felt that the rating was
bad, 169 (42.5%) of the respondents felt that the rating was good. CDF was therefore largely
not satisfying the expectations of the constituents as was demonstrated by the findings.
Some respondents felt that there was contradiction between the MP‟s party and the
constituency in advancing development goals of the constituency. Contradictory party
policies and manifestos, ineffective party policies were cited by the respondents to be the
source of problems on prioritization of projects. Selfish-interest among party members, it was
noted by the respondents that party members sometimes had selfish interest that contradicted
the wishes of the constituents.
5. Summary of Findings, Conclusions and Recommendations
Summary of Findings
The study was conducted in Gem Constituency, Siaya County and was aimed at evaluating
the management of CDF on the economic welfare of the people of Gem constituency. The
study involved both male and female respondents; the female respondents formed a larger
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majority than their male counterparts suggesting that women are more vulnerable to the
effects of economic welfare. The data showed that respondents in the age group of between
31 – 40 years were more active in the CDF management issues than the elderly. The study
found out that CDF management was to a reasonable extent fulfilling the larger mandate of
the CDF Act of Alleviating poverty in the grassroots.
The effects of CDF on the economic welfare of the constituents
The first objective was to evaluate the effects of CDF management on the economic welfare
of Gem constituents. It was found out that majority of the respondents were aware about the
existence of the CDF. They were however quick to point out that CDF had not been effective
in promoting community development. It was pointed out by the majority of the respondents
that CDF had not lived to its promises and therefore did not meet their expectations. About
half of the respondents who were perceived to reside closer to the main roads felt that their
economic welfare had improved due to the existence of CDF.
Conclusions
The study concludes that how CDF is managed in the constituency plays a key role in
determining the economic welfare of the constituents, this being one the key poverty
alleviation strategies by the then NARC government. The strategy seemed to be working
because there was tangible evidence on the ground as 50% of the respondents alluded to the
fact that CDF management had positively contributed to their economic welfare. It was
however noted that many of the projects that should have impacted positively on the
economic welfare of the constituents were not undertaken due to the fact that all stakeholders
were not involved in deciding the destiny of the constituency with regard to development.
Recommendations
The study did establish that since the introduction of CDF in Gem Constituency, there has
been some notable improvement in the economic welfare of the constituents. Based on the
findings of the study, the study proposes that CDF should spearhead the creation and
management of micro-finance institutions at the constituency level to facilitate accessibility
of cheap funds for economic developments.
Suggestion for further study
Based on the findings of the study, recommendations on the evaluation of CDF management
on the economic welfare of the constituents of Gem, the study suggests further research to be
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carried out using a larger sample and a study on the evaluation of CDF management on the
economic welfare of households in Kenya.
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Appendices
Table 3.1 Target Population
Category Target Population Percentage
CDF Committee Members 16 0.03
Constituents 50,000 99.97
Total 50016 100
Source: KNBS (2009)
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Table 3.2 Sample sizes for given population size
Population Sample Population Sample Population Sample
Size Size Size Size Size Size
10 10 100 80 4000 351
20 19 150 108 5000 367
30 28 200 132 10000 370
40 35 250 162 20000 377
50 44 300 169 50000 381
60 52 400 196 100000 384
70 59 1500 306
80 66 2000 322
90 73 3000 341
Sourec:Krejcie(1970)
Table 3.3Sample Population
Category Sample Population Percentage
CDF Committee Members 16 4
Constituents 381 96
Total 397 100
For the purpose of this study, the researcher applied the Krejcie (1970) model in arriving at
the sample population, i.e.
n =(𝒙𝟐Npq) /(𝒅𝟐(N-1) + 𝒙𝟐pq
Where n = desired sample size
N = Target population
P = population proportion (take 0.5)
d = degree of accuracy reflected by the amount of error that can be tolerated in
fluctuation of a size about the population and corresponds to the significance
level with a standard error of the proportion at the corresponding confidence
level.
𝒙𝟐= the table chi square value for one degree of freedom relative to the desired level
of confidence (𝒙𝟐 = 3.841 at 95% confidence level).
Q = 1-p for binomial distribution.
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Figures
The respondents were asked to state their gender
Figure 4.1Genders of Respondents
Source: Survey data 2013
Table 4.1 Age vs. Marital status
Marital status (%) Total (%)
Single Married
Age of the
Respondent
18-30 10 17.5 27.5
31-40 1 36.5 37.5
41-50 2 13 15
50 and above 2 18 20
Total (%) 15 85 100
Source: Survey data 2013
Table 4.2 Education vs. Employment
Employment (%) Total
Self-
employed Employed Unemployed
Education
Level (%)
Primary 20 0 32.5 52.5
Secondary 2.5 15 10 27.5
College 0 17.5 2.5 20
Total 22.5 32.5 45 100
Male 47%
Female53%
Gender of the respondent
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Source: Survey data 2013
4.2.5 Respondents awareness of CDF‟s role
The respondents were asked to state their awareness about CDF
Sourec: Survey data 2013
Source: Survey data
Yes No Not sure
% 80 17.5 2.5
0
10
20
30
40
50
60
70
80
90
%
Level of awareness
35%
55%
7.50%
2.50%
Yes
No
Don't Know
Not Sure
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Figure 4.4effectiveness of CDF on community development
Source: Survey data 2013
Figure 4.5 CDF contributions to respondent's economic welfare
Source: Survey data 2013
Figure 4.6 Respondents‟ ratings on CDF satisfaction on the constituents‟ expectations
0
10
20
30
40
50
Yes No I don't know% 50 47.5 2.5
%
CDF contribution to respondent's economic welfare
Worse Bad Good Exellent
% 2.5 55 42.5 0
0
10
20
30
40
50
60
%
CDF ratings