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Greener Journal of Agricultural Sciences Vol. 10(1), pp. 25-29, 2020 ISSN: 2276-7770 Copyright ©2020, the copyright of this article is
retained by the author(s) |
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Assessment
of constraints facing Shea butter processors among rural dwellers in Oyo
State, Nigeria
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National Centre for Genetic Resources and
Biotechnology, PMB 5382 Moor-Plantaion, Apata, Ibadan.
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ARTICLE INFO |
ABSTRACT |
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Article No.: 061919112 Type: Research |
The study
assessed the constraints facing Shea butter processors among rural dwellers
in Oyo State, Nigeria. A well-structured questionnaire was used to obtain
information in the study areas. Purposive and multistage random sampling
procedures were used to select 120 respondents. The study revealed that over
half (57.5%) of the processors were between the ages of 46-60 years, while
most (93.3%) of the respondents were female, 32.5% have been processing for
over 25 years, while only 15% of the respondents had contact with extension
personnel. This study revealed that majority (65.8%) of the respondents got
capital from the cooperative society, while 51.7% processed between 2,001
and 3,000 kilograms per month. Majority (81.7%) of processors did not
produce effectively as a result of inadequate access to credit facilities.
Pearson Product Moment Correlations revealed that there was no significant
relationship between their age and the constraints faced by the Shea butter
processors (r= 0.301 and p = 0.001). It was recommended that processors
should be encouraged and assisted with credit facilities to improve their
productivity. |
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Accepted: 24/06/2019 Published: |
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*Corresponding Author Osewa O. E-mail: sundayosewa@
yahoo.com |
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Keywords: |
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INTRODUCTION
Shea tree (Vitellaria paradoxa C.F. Gaertn.) is
indigenous to the semi-arid zone of Sub-Saharan Africa (Lovett and Haq, 2000a)
and belongs to the family Sapotaceae.
It grows in the wild and has a huge economic and ecological potential that is
yet to be exploited for improving livelihood of the population in countries where
the species occurs (Teklehaimanot, 2004). Shea butter is a fatty extract from
the seed of the Shea tree. Vitellaria
Paradoxa has been a major component of West Africa agroforestry systems,
being highly valued primarily for oil obtained from the dried kernels (Lovett
and Haq, 2000a).
Shea butter is widely
utilized for domestic purposes such as cooking and skin moisturizer. It is also
processed commercially and used as an ingredient in cosmetic, pharmaceutical
and edible products. The fruit when very ripe is eaten raw. The most important traditional uses of Shea
butter include dressing of hair, protection against dry weather and sun,
ointment to relieve rheumatic and joint pains, healing wounds, swelling and
bruising, treatment of skin problems such as dryness and dermatitis and to
massage pregnant women and small children. It is also used in treatments of
eczema, rashes, burns, ulcers and dermatitis (IPGRI, 2006).
Shea nuts were first
recognized as an important export for West Africa in the 1920s when their products
were being used in European chocolate, cosmetics and soaps (Saul et al., 2003). Shea nuts are
increasingly being exported for use in the cosmetics industry as an ingredient
in lotions, make-up, baby ointments, hair care products and soaps
(Akosah-Sarping, 2003). However, only about 20% of shea nuts are processed
before exportation (FAO, 2006). Shea butter is usually cheaper than cocoa
butter and also adds durability to processed chocolate, making it less crumbly
and more uniform (Chalfin, 2004).
In spite of the huge
potentials of Shea butter as a good source of export earnings, large quantities
of Shea nut remain unprocessed annually, especially during years of bountiful
harvest. The few processed in many of the West African Countries, Nigeria
inclusive, are characterized by low quality and quantity, having a low fat
yield of about 15% (Fleury, 1981). However, this cannot be unconnected to
constraints facing these processors. It is against this background that this
study will answer the following questions:
1. What are the selected personal
characteristics of Shea butter processors in the study area?
2. What are the respondents’ sources
of credit?
3. What is the quantity of Shea butter
processed by the respondents in the study area?
4. What are the constraints facing the
respondents during production and marketing of Shea butter?
Objectives
of the study
The general objective of this study was to
assess the constraints facing Shea butter processors among rural dwellers in
Oyo State. Specifically, the study attempted to:
1. describe the selected personal characteristics
of Shea butter processors in the study area?
2. ascertain the respondents’ sources
of credit?
3. investigate the quantity of Shea
butter produced by the respondents?
4. examine the constraints facing the
respondents during production and marketing of Shea butter?
Hypothesis
of the study
: There is no significant relationship between the quantity of
shea butter produced and constraints faced by Shea butter processors.
: There is no significant relationship between the techniques
used and constraints faced by Shea butter processors.
METHODOLOGY
The study was carried out in Atisbo Local
Government Area of Oyo State because it is a major Shea butter producing area
in the state. Atisbo is a rural Local Government located in the north-west of
Oyo State, Nigeria, about 175km from Ibadan, the state capital. Its
headquarters is in the town of Tede. The name Atisbo is an acronym of eight
rural communities that made up the Local Government. Thus, Atisbo stands for
Ago-are and Agunrege, Tede, Irawo, Sabe, Baasi, and Ofiki and Owo communities.
It is predominantly agrarian with some land where precious stones such as
tourmaline and tantalite can be found. There are 10 wards in the Local
Government and bounded in the north by Saki East, South by Itesiwaju and
Iwajowa, East by Orire and Republic of Benin to the West. It has a population
of 110,792 going by the 2006 National Population Census. Among the cash crops
widely grown include cashew, Shea butter and mango.
Sampling
procedure and sample size
Oyo State is stratified into 4
Agricultural Development Programme (ADP) Zones which comprises of Saki, Ibadan
Ibarapa, Ogbomosho and Oyo zones. Saki zone is purposively selected because of
high concentration of Shea butter processors in the area. Multistage sampling
procedure was used to select the sample size. The first step involved the
selection of Atisbo and Saki west local government areas from the Zone. The
second step was the selection of 3 wards including Ago Are I, Irawo Ile and
Tede I from Atisbo local government area; and Aganmu, Ogidigbo and Sepeteri
from Saki west which gives a total of 6 wards. The third step was the random
selection of 20 processors from each of the selected wards. This gives a total of 120 respondents. The
data for the study were collected through interview schedules with the Shea
butter processors. The data collected were analyzed using both descriptive
(frequency counts, percentages and means) and inferential statistics
(chi-square and PPMC). The independent variables for the study include selected
personal characteristics, sources of credit, Shea butter processed. The
dependent variable is processing constraints.
RESULTS
AND DISCUSSION
Personal
characteristics of the respondents
Results in Table 1 showed that over half
of the respondents (57.5%) were between the ages of 40-60 years of age,
implying that most of the respondents are above the middle aged and may act
against acceptance of innovation. This study shows that most (93.3%) of the
respondents were female while men might have played the role of mere assistants
to their spouses. This is supported by Vermilye (2004) that women are more
involved in the production of Shea butter. The table also showed that over half
(55.0%) of the respondents were Muslims, while 42.5% were Christians and 2.5%
were Traditionalists. It can be seen (Table 1) that quite an appreciation
number of them (32.5%) have been processing for over 25 years, implying that
they were well experienced processors who have been processing locally. The finding
revealed that only 15% of the respondents had contact with extension personnel,
inferring that they will be less exposed to new techniques on the production of
Shea butter.
Table
1 Distribution of respondents according to their selected personal
characteristics
|
Characteristics |
Frequency |
Percentage |
|
Age |
|
|
|
<30 |
5 |
4.2 |
|
31-45 |
34 |
28.3 |
|
46-60 |
69 |
57.5 |
|
>60 |
12 |
10.0 |
|
Sex |
|
|
|
Male |
8 |
6.7 |
|
Female |
112 |
93.3 |
|
Religion |
|
|
|
Christian |
51 |
42.5 |
|
Islam |
66 |
55.0 |
|
Traditional |
3 |
2.5 |
|
Processing
experience (years) |
|
|
|
≤6 |
14 |
11.7 |
|
7-12 |
33 |
27.5 |
|
13-18 |
19 |
15.8 |
|
19-24 |
15 |
12.5 |
|
≥25 |
39 |
32.5 |
|
Contact
with extension personnel |
|
|
|
Yes |
18 |
15.0 |
|
No |
102 |
85.0 |
Source: Field survey, 2018.
Respondents’
sources of credit
Data in Table 2 revealed that 65.8% of
the respondents got capital from the cooperative society while half (50.0%) of
the respondents got capital from friends/family. This implies that most of the
respondents rely on the cooperative society and friends/family for their
initial capital. This could be attributed to poor government financial support
for agro-based industries and unattractive lending arrangements on the part of
financial institutions.
Table
2 Distribution of respondent according to their source of credit
|
Source
of credit |
Frequency |
Percentage
(%) |
|
Banks |
1 |
0.8 |
|
Cooperative society |
79 |
65.8 |
|
Friends/family |
60 |
50.0 |
|
Money lender |
8 |
6.7 |
Source: Field survey, 2018.
Quantity
of Shea butter produced
Table 3 showed that over half (51.7%) of
respondents processed between 2,001 and 3,000 kilograms per month, while 28.3%
and 7.5% produced between 3,001 and 4,000, and 1,001 and 2,000 kilograms respectively
in a month. Only 4.2% of the respondents produced above 5,000 kilograms per
month
.
Table
3 Distribution of respondents based on quantity of Shea butter produced.
|
Quantity
of Shea butter processed(kg) |
Frequency |
Percentage
(%) |
|
<1000 |
4 |
3.3 |
|
1,001-2,000 |
9 |
7.5 |
|
2,001-3,000 |
62 |
51.7 |
|
3,001-4,000 |
34 |
28.3 |
|
4,001-5,000 |
6 |
5.0 |
|
>5,000 |
5 |
4.2 |
|
Total
|
120 |
100 |
Source: field survey, 2018.
Shea
butter production constraints
The result of the findings in table 4
revealed that majority (81.7%) and 72.5% regarded inadequate credit facilities
and unavailability of market opportunities respectively as major constraints
facing the processors. However, 18.3% of the processors
consider water as a low factor to be considered. This is in support of Holtzman
(2004) who stressed that finance could be a major constraint to expanding Shea butter
exports from West Africa.
Table
4 Distribution of respondents’ constraints to the Shea butter production (N=120)
|
Constraints |
High
|
Moderate
|
Low
|
|
Inadequate credit
facilities |
98(81.7) |
16(13.3) |
6(5.0) |
|
Limited business
expansion |
78(65) |
20(16.7) |
22(18.3) |
|
Inadequate labour |
23(19.2) |
51(42.5) |
46(38.3) |
|
Low sales income |
62(51.7) |
43(35.8) |
15(12.5) |
|
Inaccessibility of market
opportunities |
87(72.5) |
14(11.7) |
19(15.8) |
|
Absence of
standardized measures |
70(58.3) |
38(31.7) |
12(10.0) |
|
Inadequate of good
and efficient processing equipment |
78(65) |
30(25) |
12(10.0) |
|
Inadequate storage
facilities |
36(30) |
47(39.2) |
37(30.8) |
|
High input costs |
25(20.8) |
52(43.3) |
43(35.8) |
|
Production
difficulties due to manual tools |
96(80) |
19(15.8) |
5(4.2) |
|
Inadequate water
facilities |
22(18.3) |
18(15) |
80(66.7) |
Source: Field survey, 2018.
Hypothesis
testing
Hypothesis
One (
: There is no
significant relationship between their age and the constraint faced by the Shea
butter processors (r= -0.008 and p= 0.930). Table 5 reveals that constraints
faced by these processors are not a function of their age, implying that both
young and old respondents are both exposed to these constraints.
Hypothesis
two (
: There is no
significant relationship between the quantity of Shea butter produced and
constraints faced by Shea butter processors. There is a relationship between
the quantity of Shea butter produced and processors constraints (r= 0.301 and
p= 001). Therefore, the null hypothesis is rejected. The implication is that
the constraints faced by the respondents have an influence on the quantity of
Shea butter produced.
Table
5: Results of correlation Analysis
|
Variables |
r-value |
p-value |
Remarks |
Decision
|
|
Age/ Shea butter
production constraints |
0.094 |
0.307 |
NS |
Accept Ho |
|
Quantity
produced/Shea butter production constraints |
0.301 |
0.001 |
S |
Reject Ho |
Source: Field survey, 2018
P> 0.05 = Not significant (NS), P < 0.05 = Significant (S)
CONCLUSION
It is concluded that Shea butter is an
important crop through which the livelihood of the rural populace can be
enhanced. The findings of the study also show that most of the respondents are
mainly females, middle-aged and have been processing for a long period of time.
They are not well exposed to extension personnel and largely depend on
cooperative society and friends/family for their sustenance and information.
They have low access to credit facilities and face high difficulties due to the
use of manual tools, while their production is lower than expected. However, the
constraints faced by the processors have an influence on the quantity of Shea
butter produced.
RECOMMENDATIONS
It is recommended that:
1. Semi-mechanized processing techniques
should be developed to improve the value chains and adopted to ensure that high
quality Shea butter is produced locally. This will have minimal wood fuel
input. Such technologies would produce Shea butter suitable for exports,
improve the income earnings of local processors; reduce level of dry
exportation and very importantly, result in the conservation of natural
populations of wood trees species.
2. Federal State and Local Government
should provide credit facilities for Shea butter processors to improve their
productivity.
3. Government and non-governmental
organizations/agencies should assist in educating the Shea butter processors
through effective extension system on improved Shea butter techniques.
Therefore, extension needs of the Shea butter processors should be given
special attention and immediate attention.
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