EFFECT OF SELECTED INSECTICIDE ON WHITEFLY (Bemisia tabaci) INFESTING BRINJAL PLANTS 736 Analysis of Cassava Product (Garri) Marketing in Ekiti Local Government Area, Kwara State, Nigeria Olasore Abiodun Amos Principal Management Development Officer; Agricultural and Rural Management Training Institute, Ilorin, Kwara State, Nigeria Rauf Saliu Imam Assistant Manager; AMCON, Lagos, Lagos State, Nigeria Alao Bashir Idowu and Abdulraheem Ayinla Mubarak Management Development Officer; Agricultural and Rural Management Training Institute, Ilorin, Kwara State, Nigeria Abstract This study is on analysis of cassava product (garri) marketing in Ekiti Local Government Area, Kwara State, Nigeria. Data for the study were obtained from 150 respondents from the target group using a two-stage sampling procedure and analyzed using descriptive statistics, Gini Coefficient and Lorenz Curve. Gini Coefficient for all cassava product traders was estimated to be 0.624 or 62.4%. The estimated Gini Coefficient show high degree of inequality in the sales/income distribution. The Lorenz Curve plotted further revealed sales/income inequality among the traders. A wide gap between line of inequality and the plotted Lorenz Curve showed that there is a high inequality in the distribution of income among traders. Keywords: Analysis, cassava, product, marketing, Nigeria Introduction1 Cassava has become a stable food for the continent of Africa and accounts for approximately one third of the staples produce in the continent (FAO, 1986). In Nigeria, farmers produce cassava as a source of family food and income (IITA, 2004). Currently, Nigeria is the largest producer of cassava in the world (FAO, 2004) and it is believed that production of cassava is a way farmers could easily get out of poverty since it requires less input and could grow even under harsh environmental conditions. Corresponding author’s details: Name: Olasore Abiodun Amos Email address: aaolasore@yahoo.com The country has diversified agro-ecological zones which are suitable for producing wide range of annual and perennial crops including cash crops and food crops. However, Nigeria is ranked 8 th in terms of cassava yield (kg/ha). This situation could be attributed to the varieties available in Nigeria and farming practices being adopted amongst other factors. Cassava is cultivated in the 36 states and Federal Capital Territory of Nigeria. Cassava is used in many ways. It is used as a staple, for manufacturing, industrial feed, and many other forms (Asiedu, 1989). For production of most traditional foods, it could be made to fermented and unfermented bread, snacks and alcoholic drinks (Mandal, 1993). Asian Journal of Agriculture and Rural Development journal homepage: http://aessweb.com/journal-detail.php?id=5005 mailto:aaolasore@yahoo.com Asian Journal of Agriculture and Rural Development, 3(10) 2013: 736-745 737 Cassava can be processed into garri, flour, tapioca, pellets and chips. It is a good source of animal feeds. Federal Government of Nigeria is promoting 20% cassava inclusion in the wheat flour which is expected to increase cassava cultivation and reduce yearly wheat importation. Garri is produced from cassava by peeling, washing and grating of harvested root which is poured into a bag and subjected to pressure to drain out water and left to ferment for 2-4 days. The fermented and resulting pulp is then removed, sieve and fried in wide shallow metal pan until it is well dried. A well dried garri can stay for up to three months without spoilage. Garri can be soaked in water and taken or made into a paste by adding hot water to it to make a paste and then taken with soup. Besides, the need to meet the food demands of the ever increasing Nigerian population, industrial requirements such as the production of laundry starch and livestock feeds have made the establishment of large-scale cassava farm business desirable for farmers and industrialists. Despite the fact that cassava production in Nigeria is increasing at 3per cent every year, the country continues to import starch, flour, sweeteners that can be made from cassava. The demand for industrial cassava based products such as glucose and dextrose and starch is rising. For instance, about 121,000 metric tonnes of glucose and dextrose was imported in 2008, which was about three times more than imports in 2002 (Ayodele et al., 2011). However, cassava growers face variety of challenges which affect their productivity and profitability. This could also be found in processing and marketing of cassava products. Achoja et al. (2012) reported that majority of the farmers indicated that inadequate finance (35%), land fragmentation (27%), and high cost of labour (15%) were the major problems challenging export-led cassava production intensification. FAO (2004) also reported that Nigeria is ranked low in terms of yield of cassava production (kilogram per hectare) relative to such countries as Brazil, Thailand and Indonesia who are major producers of cassava after Nigeria with yield per hectare at 10.8, 13.43, 16.84 and 12.02 tonnes for Nigeria, Brazil, Thailand and Indonesia respectively. According to FAO (2004), global cassava production is expected to rise with increasing demand for cassava based industrial products. IITA (2004) reported that Benue and Kogi States in the North Central zone are the largest producers of cassava, while Edo, Cross River, Akwa-Ibom, Rivers and Delta States dominate cassava production the South –South zone. In Nigeria, the bulk of cassava output is produced by semi-subsistence and small holder family farms that generally use traditional farming methods (Okuneye, 1997; Upton, 1997; Nweke, 1997). Oni (2013) reported the distribution of the total income generated in the cassava value chain as follows, the medium scale processor had the lion share that represented 42 percent of total income generated at the various levels of the value chain. This was followed by the large scale processor with 21.4 percent. The domestic wholesale trader followed behind them with 16.54 percent of total income generated. Medium Scale industrial user was the next important income earner with 11 per cent of total income. The farmer who originated the process of the value chain trailed behind all the actors with just only 0.03 percent of the income generated in the value chain. The retailer came closely behind the exporter, but both have a low share of 1.04 percent and 3.21 percent respectively. The results revealed the earning of the farmer was very low compare to all other actors in the cassava value chain. The main objective of this study is to identify the socio economic variables of the cassava product (garri) marketers and the income distribution among them in the study area. Asian Journal of Agriculture and Rural Development, 3(10) 2013: 736-745 738 Methodology The study was conducted in Kwara State, Nigeria. Kwara State lies in the southern guinea savannah vegetation zone of the country. The State experiences two (2) seasons in a year: the wet season (April- September) and dry season (October –March). Annual rainfall is about 1000-1500mm. The State shares boundaries with Ekiti, Oyo, Osun, Kogi and Niger States of Nigeria. It also has international border with the Republic of Benin along its north-western part. The state is categorized into four (4) agricultural zones (A, B, C, and D). There are a total of 1,258 rural communities in the state. The target population for the study is the cassava product (Garri) marketers in the state; the sampling technique was purposeful sampling of Ekiti local government area of the state as it represents the largest producer of cassava in the state (KWADP, 2004). It is on this premise the sampling frame and distribution was focused. A two stage sampling technique was adopted in the selection of samples for the study. The first stage was a random selection of 10 communities out of 22 communities in Ekiti Local Government Area. These 10 communities have a total of 376 registered cassava product marketers. The second stage involved the random selection of 40% from each 10 communities of the sampled registered cassava marketers which is 150 marketers. The tools for analyses included use of descriptive statistics such as frequency tables and percentages to analyze the socio- economic characteristics of the cassava processors. Gini Coefficient and Lorenz Curve were used to determine inequalities among the cassava product marketers. Gini-coefficient is the most commonly used measure of inequality. The coefficient varies between o, which reflects complete equality and 1, which indicates complete inequality. Lorenz Curve on the other hand maps the cumulative income/sales shares on the vertical axis against the distribution of the population on the horizontal axis. Gini Coefficient (GC) is given as: GC = 1- ∑TZ Where T= proportion of traders per period of study/100 Z= cumulative proportion of sales of traders per period of study/100 Results and discussions Socio economic characteristics of cassava processor The socio economic characteristics of the cassava marketers in the study area are shown in the table 1. The study revealed that about 78% of the traders are female. In Nigeria, agricultural activities are gender specific. Women in most cases are more involved in post-harvest activities than men. Processing is one of the post-harvest activities of cassava. Table1: Socio-economic characteristics of the traders Variable Frequency Percentage Gender Male Female Total 32 118 150 21.3 78.7 100 Age (years) Asian Journal of Agriculture and Rural Development, 3(10) 2013: 736-745 739 ≤ 30 31-40 41-50 50 and above Total 17 61 43 29 150 11.4 40.7 28.7 19.3 100 Scale of Operation Retailers Itinerant wholesalers Sedentary wholesalers Processors Total 45 27 11 67 150 30.0 18.0 7.3 44.7 100 Educational Level No formal education Primary Secondary Tertiary Total 61 44 34 11 150 40.7 29.3 22.7 7.3 100 Marital Status Single Married Widowed Widower Divorced Total 12 55 33 25 25 150 8.0 36.6 22.0 16.7 16.7 100 Number of Dependants 0-4 5-8 Above 8 Total 57 84 9 150 38.0 56.0 6.0 100 Marketing Experience 1-10 11-20 21-30 Above 30 Total 65 52 22 11 150 43.3 34.7 14.7 7.3 100 Source: Field survey, 2012 The study revealed that about 44.7% of the traders are small scale processors that process the cassava tuber to garri and or cassava flour. The survey revealed that about 40.7% are within the age of 31-40years. This indicates that the traders are still active and vibrant and as such it would have positive effect on the marketing activities. The literacy level shows that about 29.3% of the traders are primary school leavers, about 40.7% of the sample is illiterate and a very small fraction has tertiary education, this may affect their level of marketing efficiency due to the fact that education enhances productivity. In addition, education will enhances use of modern communication technology such as internet. On the year of marketing experience, the survey shows that 43.3% % of the traders had between 1- 10 years of experience in the marketing activities, while 34.7% had experience between 11-20 years’ experience, experience is very important in every business as it enables traders to learn from previous mistakes in their marketing activities. Asian Journal of Agriculture and Rural Development, 3(10) 2013: 736-745 740 Years of experience may sometimes take in lieu of education. About 36% of the respondents are married while 61% have five or more dependants. In a typical Nigeria rural set up, the respondents are expected to take care of their dependants while the dependants also work for their masters. The dependants are expected to give helping hands in cassava marketing. The study revealed that 90% of the traders have free entry and exit to the market while about 10% of the respondents have restriction to the market. This may accounts for the reason while garri marketing is very common in the study area. The study also indicates that about 76% of the traders process their product into garri while only 14%% process it into cassava flour and 9.3% are involved in both products; this is as a result of high market demand for garri as against cassava flour. Garri is one of the staple foods of the study area and Kwara State in general. There is always a ready market for garri. People come from within and outside the study area to purchase garri and marketers as well take garri out of the state to market. The study also revealed that 58.7% of the major source of information comes from fellow traders, there is a limit to the kind of information one can get from a fellow traders. The information from this source may be local 14.7% of them access information from extension agents. This is low! There may be a need to promote extension services among the traders. Extension services are not meant for producers only. Only 3.3% of the traders access information from the internet and journal articles. This is expected because about 41% of the respondents did not have formal education. The rapid use of mobile telephone sets in Nigeria has increased access to the internet. Most people cannot access internet from their mobile handsets because of illiteracy. Internet provides information across the globe. Access to internet facilities will enable the traders market their goods globally. Table 2: Marketing performance of cassava trader Variable Frequency Percentage Market Entry and Exit Free entry Restricted Total 135 15 150 90.0 10.0 100 Cassava Processed Products Garri Cassava flour (Lafun) Both Total 114 22 14 150 76.0 14.7 9.3 100 Source of Information Fellow traders Extension agents Trade unions Internet/Journal Total 88 22 35 5 150 58.7 14.7 23.3 3.3 100 Source: Field survey, 2012 Gini coefficient and Lorenz curve analysis results Gini Coefficient for cassava product traders in the study area was estimated to be 0.624 or 62.4%. This result indicates that there is a high degree of inequality in the sales/income distribution. Asian Journal of Agriculture and Rural Development, 3(10) 2013: 736-745 741 The sales distribution shows that 67% of traders received about 34.7% of total sales and this result indicated that about 65% of market sales were concentrated in the hand of less than 35% of the marketers. The Lorenz Curve plotted further revealed sales/income inequality among the traders. A wide gap between line of inequality and the plotted Lorenz Curve showed that there is a high inequality in the distribution of income among traders. Among different traders, Gini-coefficient value of 65.3% (0.653) was estimated for the wholesalers followed by retailers with estimated value of 56.8% (0.568), while the processors had the least value of 52.2% (0.552). This showed that inequalities in sales/income among the itinerants are more serious when compared with other categories of cassava marketers. Generally, it can be inferred that cassava traders experience high degree of inequality as reflected by estimated Gini-coefficient (above 50%) and plotted Lorenz Curve. This is a reflection of inefficient market structure since the lower the inequality in sales volume, the more efficient is the structure of marketing system and vice-versa. Table 3: Estimation of Gini- coefficient for all the wholesalers SALE(N) No of traders Proportion of traders (T) Cumulative Proportion (n) Total value of sales Proportion of total sales Cumulative proportion (Z) ∑TZ 1-50,000 9 0.34 0.34 302,992 0.255 0.255 0.0289 50,001- 1000,000 6 0.23 0.57 462,600 0.315 0.57 0.04945 100,001- 150,000 2 0.67 0.64 288,000 0.181 0.751 0.02072 150,001- 200,000 4 0.15 0.75 768,000 0 0.751 0.0768 200,001- 250,000 2 0.07 0.86 451,000 0.067 0.816 0.04473 250,001- 300,000 2 0.07 0.93 582,000 0.08 0.896 0.05614 300,001 and above 2 0.07 1 707,800 0.102 1 0.07 Total 27 1 1 3562392 1 1 0.34674 GC= 1-∑TZ =1-0.34674 = 0.65326 = 0.653 Table 4: Estimation of Gini- coefficient for all the retailers SALE(N) No of traders Proporti on of traders (T) Cumulati ve Proporti on(n) Total value of sales Proporti on of total sales Cumulative proportion (Z) ∑TZ 1-50,000 7 0.19 0.19 216,000 0.09 0.09 0.02 50,001- 1000,000 2 0.06 0.25 113,600 0.047 0.137 0.01 100,001- 150,000 6 0.16 0.41 797,000 0.331 0.468 0.08 Asian Journal of Agriculture and Rural Development, 3(10) 2013: 736-745 742 150,001- 200,000 5 0.14 0.55 956,000 0.397 0.865 0.13 200,001- 250,000 0 0 0.55 0 0 0.865 0 250,001- 300,000 18 0.45 1 0 0 0.896 0.39 300,001 and above 1 0 1 325,000 0.135 1 0 Total 38 1 1 2,407,600 1 1 0.4320 GC= 1-∑TZ = 1-0.43204 = 0.556796 = 0.568 Table 5: Estimation of Gini –coefficient for all processors SALE(N) No of trade rs Proportio n of traders (T) Cumulativ e Proportion (n) Total value of sales Proportio n of total sales Cumulative proportion (Z) ∑TZ 1-50,000 24 0.52 0.52 801,450 0.255 0.255 0.1326 50,001- 1000,000 14 0.3 0.82 989456. 8 0.315 0.57 0.171 100,001- 150,000 5 0.12 0.94 569600 0.181 0.751 0.0901 150,001- 200,000 0 0 0.94 0 0 0.751 0 200,001- 250,000 1 0.02 0.96 210,000 0.067 0.816 0.0163 2 250,001- 300,000 1 0.02 0.98 252,000 0.08 0.896 0.0179 300,001 and above 1 0.02 1 320,000 0.102 1 0.02 Total 46 1 1 3142507 1 1 0.4479 GC= 1-∑TZ =1-0.44796 = 0.55204 = 0.552 Table 6: Estimation of Gini –coefficient for all categories of cassava traders SALE(N) No of trade rs Proportio n of traders (T) Cumulativ e Proportion (n) Total value of sales Proporti on of total sales Cumulative proportion (Z) ∑TZ 1-50,000 46 0.41 0.41 1,469,742 0.1398 0.1398 0.05731 50,001- 1000,000 29 0.26 0.67 2,168,940 0.2063 0.3461 0.08998 100,001- 150,000 15 0.13 0.8 1,850,400 0.176 0.5221 0.06787 150,001- 200,000 11 0.03 0.83 2,108,000 0.2005 0.7226 0.07226 200,001- 250,000 3 0.04 0.87 661,000 0.0629 0.7855 0.02356 Asian Journal of Agriculture and Rural Development, 3(10) 2013: 736-745 743 250,001- 300,000 4 0.01 0.88 1,132,000 0.1077 0.8932 0.03372 300,001 - 350,000 1 0.01 0.89 320,000 0.0304 0.9236 0.00923 350,001 - 400,000 1 0.01 0.9 384,000 0.0365 0.9601 0.00960 400,001 - 450,000 1 0.01 1 420,000 0.0399 1 0.01 Total 111 1 1 10,514,542 1 1 0.37556 GC= 1-∑TZ =1-0.375567 = 0.624433 = 0.624433 = 0.624 0 0.2 0.4 0.6 0.8 1.0 1.2 X Fig. 1: Lorenz curve for all categories of cassava traders 0 0.2 0.4 0.6 0.8 1.0 1.2 X Fig. 2: Lorenz curve for all categories of all wholesalers Y axis Y axis Y-Cumulative Proportion of total sales of all cassava traders X- Proportion of all products traders Y axis-Cumulative Proportion of total sales of all wholesalers X-Proportion of all wholesalers Asian Journal of Agriculture and Rural Development, 3(10) 2013: 736-745 744 0 0.2 0.4 0.6 0.8 1 1.2 X Fig. 3: Lorenz curve for all categories of processors 0 0.2 0.4 0.6 0.8 1 1.2 X Fig. 4: Lorenz curve for all categories of retailers Conclusion and recommendation It is revealed through this study that majority of the cassava traders are women that fall within the active ages of 30-50 years. Majority of them operate at small-scale level. The cassava market is characterized by many buyers and traders who receive information from each other. Extension and internet information is very low among the traders. Extension information is not only for farmers. Cassava traders need extension services that will improve their various activities. Garri is the most popular and common product traded by the respondents. Garri is mostly consumed locally with very low export potential. Through extension activities, traders could be introduced to other products from cassava with export potentials. Some of these products could be handled at small-scale level. Analysis of Gini-coefficient reveals that there are serious inequalities among the traders, a situation leading to concentration of sales in the hands of just few large traders. Y axis Y-Cumulative Proportion of total sales of all processors X- Proportion of all processors Y axis Y-Cumulative Proportion of total sales for all retailers X- Proportion of all retailers Asian Journal of Agriculture and Rural Development, 3(10) 2013: 736-745 745 This scenario is not good as it does not promote healthy competition. There are every possibilities that large trader could compete the small traders out of business. There may be a need to organize the small traders into cooperative groups and help any existing cooperative of small traders to be more active. The cooperatives should be able to provide necessary credit for the small traders and be forums for educating them. References Achoja, F. O., Idoge, D. E., Ukwuaba, S. I. and Esowhode, A. E. (2012). Determinants Of Export-Led Cassava Production Intensification Among Small-Holder Farmers in Delta State, Nigeria. Asian Journal of Agriculture and Rural Development, 2(2): 142-148 Asiodu J. J. (1989). 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In Achoja, F. O., Idoge, D. E., Ukwuaba, S. I. and Esowhode, A. E. (2012). Determinants of Export-Led Cassava Production Intensification among Small-Holder Farmers in Delta State, Nigeria. Asian Journal of Agriculture and Rural Development, 2(2): 142-148.