Taiwo oludare`s project

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MARKETING ANALYSIS OF CAPTURED FISH IN
ONDO STATE, NIGERIA
Introduction
Fish plays an important role due to its nutritional values and its pharmaceutical
uses. Fish has high percentage of protein and it is comparatively cheaper and
vital for good health since it is easily digestible. (FAO, 2012). It contributed
about 6% to the Gross Domestic Product (GDP) of Nigeria in 2006. About 90%
of fish produced in Nigeria is sold in the local market as a cheap source of
protein to the growing population and fish is made up 40% of dietary protein
consumption in the country (Kainga and Adeyemo, 2012). The demand for such
protein is rising exponentially with the accelerating increase in human
population. However, sale of fish passes through various market participant and
exchange point before they reach the final consumer. Wholesalers and retailers
play important roles in marketing system at all stages in the marketing channel to
meet consumer’s demand (IAC, 2004).
Objectives
1. identify types of fish available and sold by the respondents in the study area;
2. analyze the costs and returns of captured fish sold in the study area;
3. Identify the factors that influence the profitability of fish marketing in the
study area
4. identify constraints affecting fish marketing in the study area.
Materials and Methods
The study area: Major fish markets in Ondo state were selected for this study.
Population: It comprises of the “indigenous” captured fish marketers
Sampling Procedure/Sample Size: Multi-stage sampling techniques were used
for this study. The first stage include purposive selection of four(4) Local
Government Areas: Ilaje, Ese Odo, Irele and Okitipupa due to predominance of
artisanal fishing activities, while the second stage random selection of four markets:
Igbokoda, Ugbo, Mahin and Etikan and the third stage involved Proportionate
selection of one hundred and twenty (120) indigenous captured fish marketers out of
three hundred and forty five (345) respondents in the study area.
Method of Data Analysis : Data were analyzed using descriptive statistics and
inferential statistics such as rate on investment, regression analysis.
Fig. 1: Varieties of captured fish .
Fig. 2:socio-economic characteristics of processed captured fish.
Results and Discussion
The study revealed that most of the marketers (71.7%) were female with
mean age of 44years. Costs and returns analysis showed that captured
fish marketing is profitable in the study area with monthly gross margin of
₦128,388.75 and the return on investment is 5.87 which indicates a high
level of profitability. Regression result shows that storage cost (6.35),
household size ( 1.75) and price of the fish (2.44) had a positive
relationship unlike age (-2.01) with a negative relationship and significant
at1%, 10% and 5% respectively with the t-values in parenthesis.
Conclusion
Tilapia (92.5%) had the highest demand and this may be due to consumers’
preference for the Tilapia
The factors influencing profit of the fish market are cost of storage, household
size, price of fish and age.
Fish marketing business is profitable in the study area with the rate on
investment being N5.8 indicating its high level of profitability.
The major problem identified among the fish sellers is lack of finance.
Department of Agricultural Extension & Management, Federal College of Animal Health & Production Technology P.M.B 5029, Moor-Plantation, Ibadan, Oyo State, Nigeria.
Taiwo. O.D., Ogunleye B.T., Hamzat O.A., Olatoye. O. C. & Adesanlu A. A
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sex age primary edu HH size Mkt Experience source of capital membership source of info
freq
percentage
mean
Figure 1: socio economic characteristics of processed captured fish
VARIABLES COEFFICIENT STD ERROR T-Value
Rent -3.95378 6.174901 -0.64
Labour cost 33.09002 78.04645 0.42
Storage cost 96.36195*** 15.17034 6.35
Household size 8501.401* 4855.059 1.75
Education -3133.28 3835.598 -0.82
Age -2845.611** 1414.015 -2.01
Price 6.436212** 2.634773 2.44
Transportation -7.904419 12.9341 -0.61
Capital 11144.26 7683.559 1.45
Constant 14986.8
***1%, ** 5%, *10%
101224.3
R2 =0.5609 i.e 56%
0.15
Figure 1: socio economic characteristics of processed captured fish
Table 1: Regression analysis of factors influencing profitability of processed
captured fish
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catfish tilapia large mouth
fish
spotted fish croaker fish cray fish
AxisTitle Fig. 3: Types of fish sold
Series1
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transportation cost lack of finance seasonality price fluctuation cost of shop
Series1
Fig. 4: constraints of fish marketing