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Greener Journal of Social Sciences Vol. 11(1), pp. 8-14,
2021 ISSN: 2276-7800 Copyright ©2021,
the copyright of this article is retained by the author(s) |
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Factors Affecting Rural Women Livelihood Diversification
in Okrika Local Government Area, Rivers State,
Nigeria.
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Department of Agricultural Economics
and Extension, University of Port Harcourt, Rivers State. Nigeria.
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ARTICLE INFO |
ABSTRACT |
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Article No.: 120821149 Type: Research |
The study examined the factors affecting rural women livelihood
diversification in Okrika Local Government Area of
Rivers State. Two-stage sampling technique was used to select 120 rural
women for the study. Data was collected using questionnaire and interview
schedule from 99 respondents and were analyzed
with descriptive analytical tools. The findings of the study revealed that
majority (76.8%) of the rural women were involved in non-farming activity.
It was shown that the major reason for rural women livelihood
diversification was to gain economic empowerment, assurance of food at all
times and means of additional income in their families. The study further
revealed that rural women in trying to diversify their livelihood are
constrained by so many factors mainly inadequate infrastructures, increase
domestic chores, high cost of labour, high cost of transportation, lack of
the needed knowledge and skill, poor educational background, poor market
network and working longer hours. The study recommended that adult education
should be promoted through vocational skill acquisition to help rural women
acquire the necessary education they need to diversify their livelihood. In
addition, Government should also improve performance of rural women in
livelihood diversification by ensuring adequate infrastructures are made
available in the rural areas. |
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Accepted: 10/12/2021 Published: 31/12/2021 |
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*Corresponding Author Ifeanyi-Obi CC E-mail: clara.ifeanyi-obi@ uniport.edu.ng Phone: +234 8033397055 |
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Keywords: |
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INTRODUCTION
Livelihood comprises the capabilities, assets
(including both material and social resources) and activities required for
means of living (UK Department for International Development, 1999). It is the
means by which individuals secure their basic needs such as shelter, clothing
and food. It comprises the individual’s capabilities, assets, income and activities
geared toward making ends meet. Rural livelihood diversification is defined as
the process by which rural families or individuals construct a diverse
portfolio of activities and social support capabilities in order to survive and
improve their standard of living (Ellis, 1998). It can also be seen as the
continuous adaptive processes by which an individual adds new activities,
maintain existing ones or let go of others, thereby maintaining diversity and
change in livelihood portfolios (Ellis, 2004). Individuals diversify their
livelihood by taking up diverse activities in order to create more source of
income.
Livelihood diversification or occupational
diversification is one of the major characteristics of rural households as they
find the need to diversify their livelihood as a survival strategy to cope with
the risk and vulnerability associated with the undue reliance on agriculture (Bryceson, 1997; Ellis, 2000). According to the just
mentioned authors, rural households have become more occupationally flexible,
spatially mobile and are increasingly depending on non-agricultural income
generating activities. Rural people look for diverse opportunities to increase
and stabilize their incomes which are determined by their portfolio of assets
whether social and material capital (Ellis, 1999, 2004). Diversification in
this context involves strategic activities attempted by individuals and
households to find new ways to raise income and reduce environmental risk,
which differs sharply by the degree of freedom of choice (to diversify or not)
and the reversibility of the outcome (Hussein & Nelson, 1998). These
strategic activities could spread across several enterprises including
agricultural and non-agricultural activities (Matthews-Njoku
& Adesope, 2007). More than 50% of the income in rural farming
communities of developing countries comes from non-farming sources
(International fund for Agricultural Development (IFAD), 2012).
The situation is not different in Okirika Local Government Area. Okrika
people of the Ijaw extract mainly engaged in
artisanal fishing, farming and trading (Tonye, 1989; Abam, 2012). When the westerners arrived in Nigeria, the
people of Okrika were among the first set of
Nigerians that have contact with the Europeans and this was the beginning point
of diversification as many of them began to engage in trade with the Europeans.
Over the years fishing and farming activities have been the known source of
livelihood of the rural women in Okirika. But, with
increasing threat of climate change and other stressors in agriculture such as
the seasonality and perishability of crops, fish and other sea creatures,
pollution of river, land degradation has drastically affected the rural women’s
primary source of livelihood and this has resulted to a frequent fluctuation in
their income. Also, the unstable economic situation of the country has made it
very difficult for rural families to be sustained by single livelihood
means. Hence, most of the rural women
have diversified their livelihood to cover a range of other productive
activities that are non-agricultural so as to be able to overcome seasonality
of farming activities, reduce poverty and vulnerability, which are often
associated with undue reliance on agriculture (Ellis, 2004). The drift from
agricultural forms of livelihood offers rural women the opportunity for
occupational adjustment, multiple streams of income, re-orientation, social
identification and spatial relocation away from agricultural-based modes of
livelihood (Bryceson, 1997).
Though the rural women in Okirika
are engaging in other livelihood activities other than farming, a lot of
factors still affect their livelihood diversification activities. These
constraining factors are known to vary across regions and livelihoods groups. FAO (2002) noted that contributions made by
rural women in occupational diversification are increasingly affected by
changes external to the household. Ewebiyi (2014)
stated that the major constraints to livelihood diversification in the Nigerian
rural communities are poor asset base, lack of credit facilities, lack of
awareness and training facilities, fear of taking risk and lack of rural
infrastructure. In the same vein, Kumar, Sing and Mathew (2006) stated that
availability and accessibility of livelihood assets by the rural households is
directly proportional to the extent and type of livelihood activities of rural
dwellers. They noted that most of the landless and small farmers in rural
Nigeria do not have any asset which acts as a big barrier to livelihood
diversification. Identification of constrains to livelihood diversification is
crucial to policy formulation as well as planning impactful training and intervention
programmes for the rural women. It is against this background that this
research assessed the factors influencing rural women livelihood diversification
in Okrika Local Government Area. Specifically, the
study described the socio-economic characteristics of rural women in the study
area; identified various livelihood activities adopted by the rural women in
the study area; ascertained rural women’s reasons for engagement in livelihood
diversification in the study area and identified the constraints faced by rural
women in livelihood diversification.
METHODS
The study was carried out in Okrika Local Government Area. Okrika
is a Port town in Rivers State, Nigeria. The town is sited on a small island
south of Port Harcourt making it a suburb of the larger city. It lies on the
geographical co-ordinate of latitude 40 44’23” N and longitude 70
E 4’58” sharing boundaries with Port Harcourt to the north, Degema to the west, Bonny to the south, Ogu/Bolo
to the South East and Eleme to the North East.
According to the National Population Commission (NPC 2006), Okrika
has an estimated population of about 222,285 people of which 108,323 are
females. The primary occupation in the area is fishing although a large number
of persons in the area have diversified their livelihood from fishing to other
non-farming activities. Okrika Local Government
comprises of four towns namely Kirike (Okrika), Ogoloma, Ogbogbo, Ibaka, with 61 satellite
communities and fishing settlement.
The population of the study included all the
women from the four towns in Okrika Local Government
Area. A Two-Stage sampling technique was used to select the sample for the
study. Stage one involved a proportionate selection of 70% of the satellite
communities in each of the four towns in Okrika
giving a total of 43 communities. This was to ensure equal representation of
all towns in Okrika local government area. Stage two
involved a purposive sampling of 3 women from each of the selected satellite communities
making a total of 129 respondents. Purposive sample selection was used to
ensure that only women who engage in more than one livelihood activities were
selected for the study. Data for the study were collected through the use of
questionnaire and interview schedule in the case of illiterate women. One
hundred and twenty-nine copies of questionnaire were used for the study of
which 30 copies were not properly filled, leaving a total of 99 copies for the
analysis. Data collected were analysed using descriptive statistics namely; frequency,
mean and percentage. Reasons for livelihood diversification among the rural
women in the study area were captured using 19-items respectively. These items
were rated on a four-point scale with values of strongly agree =4; agree =3; disagree
=2; strongly disagree =1. A midpoint of 2.50 was obtained and based on this,
decision rule was that any mean score greater than or equal to 2.50 implies
that the rural women are in agreement with the statement and any mean score
less than 2.50 implies disagreement. Constraints towards livelihood
diversification were captured using 25-item statement which was rated on a
three-point scale of large extent = 3, some extent = 2 and no extent = 1. A
midpoint of 2.0 was obtained and based on this, decision rule was that any mean
score greater than or equal 2.0 means agreement with the statement while mean
score of less than 2.0 means disagreement.
RESULT AND
DISCUSSIONS
Socio-economic
characteristics of respondents
The results revealed that 44% of the rural
women were within the age brackets of 40 – 59 years. The mean age was found to
be 44years. This implies that most of them were still in their productive age.
Hence, they have the capacity to engage in diverse occupational activities whether
farming or non-farm occupation. But, as rural women grow older, they become
less involved in occupational diversification. Abdulia
and Crole, (2001) noted that women participate more
in non-farm occupations when they are around the age of 30 years and there
after reduces their involvement as they grow older. Similarly, it is noted that
most of the labour forces in rural areas are mainly between the ages of 20 to
55years (Oyesola & Ademola,
2011). This implies that as people grow older, their
involvement in diversification reduces mainly as a result of insufficient
strength to effectively manage different livelihoods. As regards marital
status, greater proportion (59%) of the rural women were married. while, 41%
were single. This shows that most of the respondents have husbands and
children. They have more responsibilities in terms of providing for their
family. Hence, they diversify their livelihood sources in order to raise more
income to cater for their family responsibilities. About 70.6% of the rural women had at least
secondary education. The mean number of years spent in school was 11 years.
This indicates that majority of the rural women in the study area were
literates. They are better equipped and have the capacity to diversify their livelihoods.
Ranjan (2006) asserts that the level of education of
the rural women increase their participation rate in various occupations.
Higher education enhances business ideas, skills, innovation and managerial
ability for business sustainability. Nwibo & Okorie (2013) noted that as an individual increases his
educational attainment, his managerial ability for business
sustainability also increases.
Most (44.4%) of the rural women had a
household size of 4-6 persons with the mean household size being 6 persons.
This indicates a relatively large household size, implying that these rural
women have more persons to feed, more responsibilities such as school fees,
house rent, health care bills and as such they need to assist their families.
Hence the need to diversity their livelihood in other to make ends meet. Also
with the relatively high household size, more manpower for farm labour will be
available. This result is in line with Aderinto
(2012) and Fabusoro, Omotayo,
Apantaku and Okuneye (2010)
that a fairly large household size is dominant in rural Nigeria. Similarly, research
has shown that female-headed large sized poor households are more diversified
in their livelihood activities (Oluwatayo, 2009).
About 67.7% of the rural women have been farming for about five years or less
while 2% have between 21-25years farming experience. This shows that most of
the respondents have relatively little farming experience indicating a higher
involvement in non-farm livelihood within the study area. As regards the number
of non-farming livelihood activities engaged in by rural women, about 46.5% of
the respondents engaged in one form of non-farm occupation, 26.3% are engaged
in 2 forms of non-farming occupation. While, only 3.0% are engaged in 3 or more
forms of non-farming occupation. About 23.2% do not engage in any other farming
activity other than farming. This indicates that rural women within the study
area diversified their livelihood sources to cover both farming and non-farming
occupations. This is to enable them obtain additional income to empower
themselves financially. Result shows that majority (68.7%) of the rural women
engaged in 2 sources of livelihood. This implies that the level of livelihood
diversification among the rural women in the study area is relatively low.
Table 1: Socio-economic
characteristics
of rural women
|
Marital Status |
Frequency |
Percentage |
Mean |
|
Age |
|
|
44 |
|
20-29 |
18 |
18 |
|
|
30-39 |
21 |
21 |
|
|
40-49 |
22 |
22 |
|
|
50-59 |
22 |
22 |
|
|
60-69 |
10 |
11 |
|
|
70
and above |
6 |
6 |
|
|
Marital status |
|
|
|
|
Single |
41 |
41 |
|
|
Married |
58 |
59 |
|
|
Educational level |
|
|
11 |
|
No
formal education |
17 |
17.2 |
|
|
Primary
education |
12 |
12 |
|
|
Secondary
education |
35 |
35.4 |
|
|
Tertiary
education |
35 |
35.4 |
|
|
Number of
livelihood activities engaged in |
|
|
2 |
|
2 |
68 |
68.7 |
|
|
3 |
20 |
20.2 |
|
|
4 |
9 |
9.1 |
|
|
5 |
2 |
2.0 |
|
|
Household size |
|
|
6 |
|
1-3 |
22 |
22.2 |
|
|
4-6 |
44 |
44.4 |
|
|
7-9 |
24 |
24.2 |
|
|
10-12 |
7 |
7.07 |
|
|
13-15 |
2 |
2.13 |
|
|
Farming experience |
|
|
|
|
1
- 5 |
67 |
67.7 |
6 |
|
6
- 10 |
15 |
15.1 |
|
|
11
- 15 |
5 |
5.1 |
|
|
16
- 20 |
6 |
6.1 |
|
|
21
- 25 |
2 |
2.0 |
|
|
26
- 30 |
4 |
4.0 |
|
|
Number of non-farming
livelihood activities engaged in |
|
|
|
|
0 |
23 |
23.2 |
|
|
1 |
46 |
46.5 |
|
|
2 |
26 |
26.3 |
|
|
3 |
3 |
3.0 |
|
|
4 |
1 |
1.0 |
|
|
|
|
|
|
Source: Field survey, 2017
Rural women’s reasons for engagement in livelihood diversification
The major reasons for involvement in
livelihood diversification as indicated by the rural women in the study area
includes: economic empowerment (Mean = 3.69), poverty reduction (Mean = 3.61),
food assurance and security in households (Mean = 3.47), additional income
(Mean = 3.44), improve labour market opportunities (Mean = 3.41). Death of
husband (Mean = 1.90) was not seen by the women as a major reason for
livelihood diversification.
This implies that the rural women were
involved in occupational diversification in order to reduce poverty by getting
additional income to empower themselves economically; to withstand the risk and
vulnerabilities associated with farming and non-farming occupations; to support
their husbands and meet family responsibilities. Expansion of market due to
urbanization and improve labour market opportunities were also reasons for
diversification that encouraged the involvement of rural women in non- farming
occupation and creation of more livelihood sources within the study area and
nearby rural communities. This is in agreement with Ewebiyi,
(2014) who suggested that livelihood diversification is a matter of choice.
Hence individuals have different reasons for diversifying their livelihood
sources.
Table 2: Reasons for
Occupational Diversification among Rural Woman
|
S/N |
Reasons for
occupation diversification |
SA |
A |
DA |
SD |
Mean |
Remark |
|
|
Economic
empowerment |
71 |
26 |
1 |
1 |
3.69 |
Agreed
|
|
|
For
additional income |
52 |
42 |
2 |
3 |
3.44 |
Agreed
|
|
|
Want
to be Independent |
72 |
21 |
- |
6 |
3.32 |
Agreed
|
|
|
Assurance
of food security in household |
59 |
32 |
4 |
4 |
3.47 |
Agreed
|
|
|
Reduce
poverty |
72 |
21 |
- |
6 |
3.61 |
Agreed
|
|
|
Overcome
risk and seasonality of farming occupation |
39 |
30 |
11 |
19 |
2.90 |
Agreed
|
|
|
No
access to farm input |
24 |
21 |
32 |
22 |
2.47 |
Disagreed
|
|
|
Risk
insurance against crop failure |
34 |
25 |
20 |
20 |
2.74 |
Agreed
|
|
|
High
perishability of fish and other sea creature
|
40 |
24 |
24 |
11 |
2.94 |
Agreed
|
|
|
Reduce
fishing activities due to oil spillage in surrounding rivers |
38 |
18 |
24 |
19 |
2.76 |
Agreed
|
|
|
Improve
labour market opportunities |
61 |
26 |
4 |
8 |
3.41 |
Agreed
|
|
|
Expansion
of market due to urbanization |
51 |
33 |
5 |
10 |
3.26 |
Agreed
|
|
|
Increase
family responsibility such as school fee, house rent. |
53 |
29 |
6 |
11 |
3.25 |
Agreed
|
|
|
Husband
is unemployed |
26 |
12 |
21 |
40 |
3.24 |
Disagreed
|
|
|
Husband
is dead |
20 |
8 |
13 |
58 |
1.90 |
Disagreed
|
|
|
To
support husband |
54 |
24 |
6 |
15 |
3.18 |
Agreed
|
|
|
Acquire
more capital for further investment |
53 |
36 |
5 |
5 |
3.38 |
Agreed
|
|
|
Increase
knowledge and skill |
56 |
24 |
7 |
12 |
3.25 |
Agreed |
|
|
To
kill boredom |
36 |
21 |
17 |
25 |
2.69 |
Agreed |
SA =Strongly Agree,
A= Agree, DA= Disagree, SD=Strongly Disagree
·
Mean equal to or above
2.5 denotes agreement with the statement
Constraints to
livelihood diversification
Table 3 shows the various constraints
affecting livelihood diversification of the respondents. It indicates that the
major constraints were lack of infrastructures (
2.44), accessible
road (
= 2.44) increase domestic chores (
= 2.39), high cost of labour (
= 2.38), High cost of transportation (
= 2.37), poor market network (
= 2.35), working longer hours (
= 2.30) among others. Health challenges (
= 1.77), low self-esteem low confidence (
= 1.73), sexual harassment (
= 1.72), pregnancy and childbirth (
= 1.93) were not considered as major
constraints by the women. The findings of the study are in agreement with
(Bloom, Craig & Malaney, 2001). They noted that
rural women continue to struggle with dual responsibilities of economic product
and domestic labour. Most of them are confronted by poverty, illiteracy, high
health risk and inadequate access to production resources. Similarly, Ewebiyi (2014) found that inadequate basic infrastructures,
poor transportation system and inadequate credit and marketing facilities as
severe constraints to livelihood diversification among rural household in southern
Nigeria. Government negligence of rural areas has increased the problem of
inadequate basic infrastructure. This will severely militate against the
ability of these rural women to diversify their livelihood as many of them do
not have the infrastructural capacity to do that hence depend on the provision
of these infrastructures by the government.
Pregnancy and child
birth were found not to be a major constraining factor. This is an indication
that most women are learning to balance their basic household responsibilities
and other responsibilities.
Table 4: Constraints
of livelihood diversification among rural women in Okrika
Local Government Area, Rivers State.
|
Constraint |
LE |
SE |
NE |
Mean |
Remark |
|
|
46
|
20 |
33 |
2.13 |
Agreed
|
|
|
30 |
51 |
18 |
2.12 |
Agreed
|
|
|
57 |
24 |
18 |
2.39 |
Agreed |
|
|
38 |
43 |
18 |
2.20 |
Agreed
|
|
|
43 |
38 |
18 |
2.25 |
Agreed
|
|
|
42 |
29 |
28 |
2.13 |
Agreed
|
|
|
42 |
35 |
22 |
2.20 |
Agreed
|
|
|
43 |
43 |
13 |
2.30 |
Agreed
|
|
|
24 |
28 |
47 |
1.77 |
Disagreed
|
|
|
25 |
22 |
52 |
1.73 |
Disagreed
|
|
|
26 |
19 |
54 |
1.72 |
Disagreed
|
|
|
35 |
37 |
27 |
2.08 |
Agreed
|
|
|
41 |
36 |
22 |
2.19 |
Agreed
|
|
|
41 |
41 |
17 |
2.24 |
Agreed
|
|
|
48 |
38 |
13 |
2.35 |
Agreed
|
|
|
54 |
28 |
17 |
2.37 |
Agreed
|
|
|
44 |
28 |
27 |
2.17 |
Agreed
|
|
|
47 |
32 |
20 |
2.27 |
Agreed |
|
|
51 |
35 |
13 |
2.38 |
Agreed
|
|
|
40 |
37 |
22 |
2.18 |
Agreed
|
|
|
28 |
36 |
35 |
1.93 |
Disagreed
|
|
|
57 |
29 |
13 |
2.44 |
Agreed
|
|
|
32 |
35 |
32 |
2.00 |
Agreed
|
|
|
35 |
51 |
13 |
2.22 |
Agreed
|
|
|
41 |
41 |
17 |
2.24 |
Agreed
|
|
LE = large extent, SE
= some extent, NE = no extent
·
Mean equal to or more
than 2.0 denotes agreement with the statement
CONCLUSION
AND RECOMMENDATIONS
Livelihood diversification is relatively high
in Okrika Local Government Area with involvement in
both non-farming and farming occupation with more diversification in the
non-farming sector. However, the occupational activities of the rural women
were constrained by lack of infrastructures such as electricity, accessible
road, increase domestic chores, high cost of labour, high cost of
transportation, poor market network, working longer hours, among others.
Based on the findings
of the study, the following recommendations were made:
Proactive actions are
needed to handle constraints experienced by rural women in diversifying their
livelihood.
First, human capacity
development through vocational skill acquisitions and training are major keys
to improving rural women productivity level, boost their self-confidence and
make them employable. Adult literacy programmes through adult education,
vocational skills acquisition should be introduced for the rural women to
acquire necessary education that will help them diversify their livelihood
Financial
institutions such as micro-finance banks, bank of agriculture should provide
credit facilities to support the rural women.
Government should
promote supportive policies that will encourage the development of human
capital by equipping rural women with the necessary skills to work. Government should improve the performance of
the rural women in occupational diversification by ensuring adequate rural
infrastructure. Also, rural women could come together to form cooperative
societies, this will enable them pool resources together and provide some basic
amenities for themselves.
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Women Livelihood Diversification in Okrika Local
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