ECONOMICS OF SNAIL PRODUCTION IN EDO STATE, NIGERIA

AHMADU J.1*, OJOGHO O.2
1Department of Agricultural Economics and Extension Services, Faculty of Agriculture, University of Benin, Benin City, Nigeria.
2Department of Agricultural Economics, Faculty of Basic and Applied Sciences, Benson Idahosa University, Ugbor, Edo State, Nigeria.
* Corresponding Author : joahma@yahoo.com

Received : 21-05-2012     Accepted : 06-06-2012     Published : 20-06-2012
Volume : 4     Issue : 5       Pages : 233 - 237
Int J Agr Sci 4.5 (2012):233-237
DOI : http://dx.doi.org/10.9735/0975-3710.4.5.233-237

Conflict of Interest : None declared

Cite - MLA : AHMADU J. and OJOGHO O. "ECONOMICS OF SNAIL PRODUCTION IN EDO STATE, NIGERIA." International Journal of Agriculture Sciences 4.5 (2012):233-237. http://dx.doi.org/10.9735/0975-3710.4.5.233-237

Cite - APA : AHMADU J., OJOGHO O. (2012). ECONOMICS OF SNAIL PRODUCTION IN EDO STATE, NIGERIA. International Journal of Agriculture Sciences, 4 (5), 233-237. http://dx.doi.org/10.9735/0975-3710.4.5.233-237

Cite - Chicago : AHMADU J. and OJOGHO O. "ECONOMICS OF SNAIL PRODUCTION IN EDO STATE, NIGERIA." International Journal of Agriculture Sciences 4, no. 5 (2012):233-237. http://dx.doi.org/10.9735/0975-3710.4.5.233-237

Copyright : © 2012, AHMADU J. and OJOGHO O., Published by Bioinfo Publications. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution and reproduction in any medium, provided the original author and source are credited.

Abstract

The study examined the economics of snail production in Edo state of Nigeria. The socio-economic characteristics of the respondents cost and returns and factors affecting revenue generation in snail production were the specific areas of focus of the study. Snow balling sampling technique was adopted to identify a total of 95 snail farmers in the study area and this formed the sample size for the study. Data analysis was done using descriptive statistics, budgetary and regression analyses. The results indicated that the respondents had average stock size of 630 snails. The business of snail production required low capital investment and was highly profitable with gross margin and net profit per snail of N68.45 and N63.44 respectively. The results further showed that stock size, labor cost and educational level were the significant factors influencing revenue from snail production. They all correlated positively with the revenue and explained about 79% of the variation in the revenue (R2 = 0.785). It was concluded that since snail production required low capital investment, low income earners could comfortably embark on it; and in view of the high profit level of the business, it could be a veritable enterprise for uplifting the living standard of its producers and advance the economy of the nation.

Keywords

Economics, Cost, profitability, Snail, Production, Nigeria.

Introduction

There has been growing concerns in the recent years at the low level of protein intake, especially of animal origin in Nigeria as well as in other developing countries of the world. In spite of the various agricultural development strategies adopted in Nigeria to boost agricultural production, including livestock, daily per capita animal protein intake remains at less than 10 g which is a far cry from the Food and Agriculture Organization (FAO) recommended minimum requirement of 35 g [1] In order to bridge this gap, there is need to explore other sources of animal protein in addition to the conventional sources such as ruminants and poultry. One of the important alternative sources of the animal protein which has received relatively scanty attention in Nigeria is the snail [2] is a crawling exo-skeletal invertebrate animal which belongs to the group of animals called Molluscs [3] The importance of snail to man is enormous. Snail meat has been consumed by humans throughout the world since pre-historic times. It is high in protein (45-50 mg-1), low in fat (0.05 - 0.8%) and contains almost all the amino acids needed by humans [4] In addition to the nutritional value of snail meat, it plays an important role in folk medicine. Snail is considered important in the treatment of anaemia. The bluish liquid obtained from the shell of the snail when the flesh has been removed is believed to be good for infant development. The low fat content in snail meat makes it a good antidote for fat-related diseases such as hypertension [5] The Zinc obtained from snail is a valuable factor in the maintenance of healthy prostate gland [6] The glandular substances from the edible snail cause agglutination of certain bacteria which could be of value against a variety of ailments including whooping cough [4] have also indicated that many products from snails farming are useful in other agricultural applications thereby enhancing its economic value. For instance, the feasibility of using snail meal of the giant African snail as a partial fishmeal substitute in raising fish such as Claris gariepinus [2] Snails also fit in well with other farming activities helping to fertilize the soil prior to cultivation of other crops [7] Furthermore, snail enterprise provides employment opportunities and income for the snail producers and marketers.
In view of the numerous nutritional and medicinal values of snail to humans, it has become a significant part of the daily diets of a large population of Nigeria, especially the tribes in the coastal and forest regions [3,8] Consequently, there is a high demand for snails and this has been increasing with the supply lagging behind. It has become very important, therefore, to increase the production of snails to meet the ever increasing demand. To achieve this, economic analysis of snail production is necessary to provide convincing proof to investors of the profitability and otherwise of the business.
It is in view of this that this study examined the economics of snail production in Edo State of Nigeria. The study specifically examined the socio-economic characteristics of snail producers, estimated the cost and returns in snail production and examined the factors affecting revenue generation in snail production in the study area.

Methodology

Study Area

The study was conducted in Edo State of Nigeria. Edo State is located in the south western region of Nigeria which is the forest zone of the country. It lies between latitudes 40 45’ and 70 40’ North of the Equator and longitudes 50 and 60 45’ East of prime meridian. It covers land area of 17,802km2 with the population of 3,218,332 people according to 2006 national population census [9] The state has two distinct climatic seasons: the wet season which starts by April and ends by October and the dry season which is from November to March. Relative humidity and rainfall are high giving rise to thick vegetation cover. The major occupation of the inhabitants of the study area is agriculture. Agricultural practices carried out in the area include arable and tree crops production, fishing, snailry, aquaculture, poultry and livestock rearing.

Sampling Technique

Edo south agro-ecological zone was purposively selected from the 3 agro-ecological zones of the state (others are Edo North and Central agro-ecological zones) for the study. This choice was made because of the dominance of snail production in the zone. A random sampling technique was applied to select 3 blocks (Egor, Ikpoba-Okha and Oredo) from the 7 blocks of the zone (others include Ovia North-East, Ovia South-West, Orhionmwon and Uhunmwode). Snow balling sampling technique which involves the establishment of personal contact with the respondents to build up the required sample was used to identify the snail farmers one after the other in these 3 blocks. This was done with the assistance of extension agents of Edo State Agricultural Development Project (ADP) and snails marketers at sales points. The population of the snail farmers identified in Egor, Ikpoba-Okha and Oredo were 26, 32 and 37 respectively. Because the snail farmers were not so many, all of them were used for the study, giving a total sample size of 95 respondents.

Data Collection

Data for the study were collected by means of a well-structured and pre-tested questionnaire complemented by personal interview. Data were collected on the socio-economic characteristics of the respondents, types of snails reared, and inputs and output quantities as well as their unit prices. The survey was carried out in 2011.

Validity and Reliability of Questionnaire

The validity of the questionnaire was tested using content validity. The simplest and most direct method given by Wilkinson [10] was used and the content of the questionnaire was adjudged ‘satisfied’ by professional in the field of Agricultural Economics. Reliability of the instrument was tested using the test-retest technique. Copies of the questionnaire were first administered twice and pearson correlation coefficient between the two sets of responses was computed. High correlation coefficient was obtained indicating that the research instrument was reliable.

Data Analysis

Data analysis was done using descriptive statistics, budgetary and regression analyses.

Descriptive Statistics

These include the use of mean, frequency distribution, percentages and tables.

Budgetary Analysis

The budgetary analysis was used to determine the cost and returns to snail production in the study area. This involves determining the profitability of the snail production in the short-run when fixed costs are considered negligible using gross margin; and the net profit in the long-run by incorporating fixed costs into the analysis. The gross margin [11] is given as:
GM = GI – TVC -------------------------- (1)
Where: GM = Gross margin (N), GI = Gross income (N) and TVC = Total Variable cost (N)
The net profit is given as:
π = GM – TFC --------------------------- (2)
Where: π = Net profit, TFC = Total fixed cost and GM is as previously defined.

Regression Analysis

This was used to examine the factors affecting the revenue from snail production. The relationship, according to Doll and Orazem [12] is implicitly expressed as

Y = f(X1, X2, X3, X4, X5, X6, ei)------------------------------—-- (3)
Where: Y = Revenue from snail production (N)
X1 = stock size, X2 = cost of feeds, X3 = labor cost, X4 = fixed cost, X5 = educational level, X6 = farming experience (years), and ei = error term.
Three (3) functional forms of production model including linear, semi-log and Cobb-Douglas functions were fitted for the regression analysis. This was done to select the function which gave the result with the best fit.

Result and Discussion

Socio-Economic Characteristics of Snail Farmers

The results of the socio-economic characteristics of the respondents presented in [Table-1] showed that majority (74%) of the respondents were males, implying the dominance of males in the snail production industry. Aiyeloja and Ogunjinmi [13] also reported the dominance of males (90%) in snail production. This is contrary to the expectation that a simple, less tedious and low capital intensive business like snail production would be dominated by women. There is need to encourage women to be involved in a business of this nature. The respondents were found to be relatively young (39 years) which means they might be vibrant in the snail production business. Majority (73%) of them were married with high family sizes (7 persons/family on the average). The dominance of the married farmers among the respondents might be due to the desire to cater for their families. The implication of high family size is the large number of persons to cater for and this might have negative effect on the business. On the contrary, the family members might contribute significantly to labor operation thereby influencing the business positively.
The results further showed that snail production in Edo State was a business for the literate farmers. This is evidenced by 92% of the respondents that had at least primary or adult education with the majority (58%) having tertiary education. This corroborates the findings of Ogunniyi [14] who reported that most (59%) of snail farmers were educated; and Aiyeloja and Ogunjinmi [13] who estimated that all respondents involved in snail production had tertiary education. The high level of literacy of the respondents might afford them some level of managerial ability in their production enterprise. The respondents, however, had low years of experience in snail farming and this might affect their managerial ability.

Stock Size and Specie of Snail Reared

The stock size and species of snails reared are shown in [Table-2] . The respondents had average stock size of 630 snails, which is very close to the average stock size of 650 snails reported by Baba and Adeleke [15] This is rather low and might be the key reason for the wide gap between supply and demand for snails [16] The shortage in supply further affected the cost of snails in the market which was as high as about N100.00 per snail [Table-3] . Most of the respondents reared Achatina archtina species of snail. This might not be unconnected with its wide distribution in Africa in addition to the fact that it is meatier and tenderer than other specials of [4]

Cost and Returns in Snail Production

[Table-3] shows the results of the cost involved and the returns in snail production in the study area. Snail production required as low as about N37.00 only to raise a snail to an average marketable size. The total variable cost relative to the total fixed cost was large (86.37%) because of the low fixed capital inputs involved, indicating that snail production requires little capital investment. Labor cost was the largest component of the total cost (56.12%). This is at variance with the other types of livestock such as poultry where feed is the most expensive input [17] . This may be due to the fact that most of the respondents fed snails with vegetative materials such as cassava leaves and pawpaw peels obtained from the farms and nearby bushes. The costs of these vegetative materials might be low but the labor involved in obtaining them might have contributed to the high labor cost. This finding confirmed the assertion that snail production requires little capital investment [2,15] . Besides, Cobbinah, Vink and Onwuka [2] reported that in snail production both technical, labor and other financial inputs requirements are relatively low compared with those in other categories of livestock farming such as poultry, pigs, goats, sheep, cattle and cane rate. Thus, snail production is a business which low income earners as well as the uneducated could comfortably embark upon. Enlightenment of farmers in this direction is very vital.
The results further indicated that snail production was highly profitable (net profit = N63.44/snail). Every naira invested in the business generated N1.73. In confirmation of the profitability of snail production, Baba and Adeleke [15] reported the net profit per snail and return per naira invested of N40.00 and N1.37 respectively. The returns on investment in snail production exceed those of other livestock categories such as poultry. For instance, the return per naira invested of N0.59 was reported for table egg production [18] . This indicates high economic potential in snail industry for uplifting the living standard of the rural poor and advancing the economy of the nation.

Determinants of Revenue Generation in Snail Production

The results of the regression analysis showing the relationship between the revenue from snail production and the factors influencing the revenue are presented in [Table-4] .
The factors included stock size, cost of feed, labor cost, depreciated cost, educational level and farming experience. Based on the criteria for the selection of the lead equation given by Koutsoyannis [19] the linear function was chosen. The results of the linear function showed that about 79% of the variation in the revenue from snail production was explained by the changes in the factors under consideration. The F- statistic was significant at 1% level of significance indicating a good fit for the model used. Thee influences of stock size, labor cost and educational level on the revenue were significant. The positive signs of stock size and educational level confirmed to a priori expectation that increased in these inputs increased the level of revenue generated. Contrary to expectation, labor cost correlated positively with the revenue. The positive and significant effect of stock size corroborates the finding of Baba and Adeleke [15] The effects of feed cost, depreciated cost and farming experience on the revenue were not significant confirming their low values as indicated in [Table-1] and [Table-3] .

Conclusion/Recommendations

The economics of snail production in Edo State of Nigeria had been examined in this study. It was established that snail production required low capital investment and hence it is a business in which low income earners could comfortably embark upon. It was also found that the business of snail production was high profitable and so could serve as a veritable enterprise for uplifting the living standard of its producers and consequently advanced the economy of the nation.
Base on the findings of this study, it is hereby recommended that low income earners should be encouraged to invest in snail production since it requires low capital investment. Low involvement of women in snail production also requires that they should be encouraged to go into the business. Sensitization of both the low income earners and women through extension services should be intensified. Furthermore, in view of the low level of snail production and the high profit generated from it, investors should embark on large-scale snail production. Policy thrust of the government should be geared specifically towards achieving large-scale snail production in the country.

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Images
Table 1- Socio-economic Characteristics of Respondents Source: Field survey, 2011
Table 2- Stock Size and Specie of Snail Reared Source: Field Survey, 2011
Table 3- Cost and returns in snail production in Edo State Source: Field survey, 2011
Table 4- Regression Analysis: Determinants of Revenue in Snail Production Source: Field survey, 2011, *significant at 1%, **significant at 10%, Figures in parentheses are t-values