ࡱ> 5@ 0u\bjbj22 XX$SO$ $ $ . 4 FFFht" j.>: -------$0R2r. #Ͱ"##.: : $.#:  -#-(#N9B h 9  P#4gF0% !:.0j. (l3c4l3`9  : : : : 9 l3 % LK.. $Dd Small-Scale Aquaculture Business Planning in Cameroon RANDALL E. BRUMMETT1 AND VICTOR POUOMOGNE2 1. Senior Scientist, WorldFish Center, Yaound, Cameroun 2. Chercheur Principal, LInstitut de Recherche Agricole pour le Dveloppement, Cameroon Abstract In Cameroon, the principal objective set out for the aquaculture sector is to sustainably improve farmer incomes. To be profitable and sustainable investments in aquaculture businesses need to achieve a scale sufficient to allow for the purchase of inputs, the hiring of labour and the marketing of outputs for cash income. At present, political instability and poor governance in many African countries mitigate in favour of very large-scale farms that can absorb risk. However, within the range of possible scales, small and medium enterprises generate more employment and equitable economic growth than larger-scale investments. Participatory, on-farm, action research in Cameroon has elaborated a tool, the Aquaculture Business Planning Assistant, that can help governments and smaller investors identify the basic production system that can achieve a minimum profitable scale. INTRODUCTION To address the Government of Cameroons aquaculture development priority of decreasing rural poverty, a five-year participatory action research study was undertaken by the WorldFish Center and LInstitut de Recherche Agricole pour le Dveloppement (IRAD) to identify and alleviate critical constraints to the profitability of smaller scale aquaculture investments in the Forest Margins Benchmark of South-Central Cameroon (Figure 1). IRAD is the key aquaculture research institute in Cameroon, and as such is responsible for the development and dissemination of appropriate technology for Cameroonian fish farmers. Over the last 30 years, there have been a number of aquaculture research and development projects that have led to the establishment of basic technology, but sustained adoption has been low. This project was undertaken to: 1) estimate the economic efficiency and profitability of the basic aquaculture technology to help understand why it is not meeting the needs of farmers and, 2) indicate possible alternative farm management strategies for sustainable aquaculture in Cameroon.  Figure1. The Forest Margins benchmark of South-Central Cameroon MATERIALS AND METHODS A series of seven participatory research/extension trials based on the methods of Brummett and Noble (1995) and Brummett et al. (2004) to establish the basic technology, productivity and prices for inputs and outputs. A Research-Extension Team (RET) in which a senior research scientist was employed at 25% of full time to guide joint learning exercises (participatory research projects) undertaken by farmers and extension agents working together. During five years of regular farm visits, they collected structured datasets on over 400 individual production cycles, based on the hypotheses posed in Table 1. Multiple regression, with individual farmers as replicates, was used to analyse results (Zar 1974), which were then compared to datasets collected in on-station trials to guide interpretation. Data was loaded into a spreadsheet that uses average productivity values to calculate system profitability depending upon pond size, labour requirements, input and output prices and interest rates. Results were than taken back to the farm for validation and discussion. Outcomes were compared and used to prioritize target groups and technologies that could improve the performance of small-scale aquaculture. Table 1. Hypotheses tested over seven cycles of participatory action research in Central Province, Cameroon.TopicNumber of FarmersHo: Pond depth has a positive effect on tilapia production.67Ho: Flushing rate in barrage ponds is negatively correlated with fish production.19Ho: Pond productivity is proportional to compost size and recharge rate.54Ho: Composts of nutrient-rich Tithonia diversifolia and Chromolaena odurata improve pond productivity over mixed compost systems.41Ho: Introduction of predators (Clarias gariepinus, Hemichromis elongates) improves tilapia average weight at harvest and pond profitability.130Ho: Supplemental feeds comprised of pelleted agriculture by-products improve pond productivity.61Ho: Market access increases pond profitability.32Ho: Pelleted, complete diets and short production cycles improve profitability of tilapia monoculture.2RESULTS The production model promoted by IRAD for use by small-scale fish farmers based on a number of years of on-station research can be summarized as follows: Production Unit: 500 m2 pond Stocking Rate: 2 Oreochromis niloticus (12 g) plus 1 Clarias gariepinus (7g) per m2 Inputs: compost crib occupying 10% of pond surface area, charged with 4 tons wet organic matter per production cycle Production Cycle: approximately 300 days Average Standing Stock at Harvest: 2450 kg/ha These farms are generally rural and sell fish into village markets where tilapia (minimum size 150 g) retail pond-bank for about xaf 700 per kg (xaf 500 = 1 USD) and catfish (minimum size 400 g) for xaf 1500 per kg. Despite a number of research and extension projects aimed at improving the productivity and profitability of small-scale aquaculture systems in Cameroon, few of these have achieved sustainability. Typically, within a few months after the end of project subsidies, productivity collapses to background levels (approximately 300 kg/ha). Loading the parameters of this basic production system data into the spreadsheet produces the outcomes shown in Table 2. Interviews with farmers revealed that the profitability of this system is simply too low to justify the required investments in labour and management, even without costing inputs, amortization or family labour. Increasing the pond size by an order of magnitude to 5000 m2 (Table 3) raises profitability and return on investment (ROI) to a level most farmers accepted as sufficient motivation, but the labour required to cut and transport what now becomes 40 tonnes of wet organic matter probably exceeds the capacity of the family (i.e., unpaid labour). To cover the costs of hired labour sufficient to reduce the amount of compost that needs to be cut and transported to 200 kg/per/day, the minimum pond size has to be increased to 10 ha to maintain similar levels of profitability (Table 4). However, ROI is now only 3%, and the total investment of nearly $50,000 is more than most small-scale farmers in Cameroon can afford. If financing is needed, the investment loses money, no matter how big you make it (Table 5). In any case, even at 1 ha, the 80 tonnes of wet organic matter per year is needed to load the compost crib and the 20,000 tilapia fingerlings needed for stocking are not available on most small farms. Basically, no matter how you manipulate the basic system, it appears impossible to make it profitable. However, if urban markets can be accessed, wholesale prices for tilapia rise to xaf 1500 and catfish to xaf 2500 per kg. Even with increased transportation costs to cover marketing, a 2500 m2 farm selling into the urban market makes an acceptable profit on 20 tonnes wet organic matter inputs and a total investment of about $1200(Table 6). Once a farmer is connected to urban markets, other opportunities to increase production and profits present themselves. For example, if feeds are purchased, productivity and the number of production cycles per year can be increased. By shortening the production cycle, the amount of tilapia reproduction and thus the overcrowding of ponds - declines along with the need for expensive catfish fingerlings. Removing the cost and logistical difficulties of obtaining catfish fingerlings, further improves the profitability of the system (Table 7). Table 2. Budget (XAF) for the basic pond aquaculture technology package promoted for use by small-scale fish farmers in Cameroon (XAF500 = 1 USD). QuantityUnit PriceTotal CostAmount% of TotalInvestmentamortization (yrs)Pond Construction (m)500001000Equipment100,000520,00016Stocking Tilapia1,0000000Catfish50012562,50062,50051OperationsFeed (kg)4,0000000Labour (person-days)03,000000Transport (round trip)220,00040,00040,00033Total Production Costs (per cycle)122,500100RevenuesTilapia (kg)7270050,267Catfish (kg)511,50076,034Capacity Anticipated2,450126,302Total Investment202,500Financing (% / month)0.000Interest3,802Net Per CycleCycle/Yr13,802Net Per YearProduction Total (T)0.122% ROI Table 3. Budget (XAF) for the basic pond aquaculture technology package applied to a 5000 m2 fish farm without hired labour (XAF500 = 1 USD). QuantityUnit PriceTotal CostAmount% of TotalInvestmentamortization (yrs)Pond Construction (m)5,000001000Equipment100,000520,0003Stocking Tilapia10,0000000Catfish5,000125625,000625,00091OperationsFeed (kg)40,0000000Labour (person-days)03,000000Transport (round trip)220,00040,00040,0006Total Production Costs (per cycle)685,000100RevenuesTilapia (kg)718700502,672Catfish (kg)5071,500760,345Productivity (kg/ha)1,263,017Capacity Anticipated2,450Total Investment765,000Financing (% / month)0.000Interest578,017Net Per CycleCycle/Yr1578,017Net Per YearProduction Total (T)1.2376ROI Table 4. Budget ( XAF ) for the basic pond aquaculture technology package applied to a 10 ha fish farm with hired labour but without financing ( XAF500 = 1 USD )  QuantityUnit PriceTotal CostAmount% of TotalInvestmentamortization (yrs)Pond Construction (m)100,000001000Equipment100,000520,0000Stocking Tilapia200,0000000Catfish100,00012512,500,00012,500,00051OperationsFeed (kg)5800000Labour (person-days)4,0003,00012,000,00012,000,00049Transport (round trip)220,00040,00040,0000Total Production Costs (per cycle)24,560,000100RevenuesTilapia (kg)14,36270010,053,448Catfish (kg)10,1381,50015,206,897Productivity (kg/ha)25,260,345Capacity Anticipated2,450700,345Total Investment24,640,0000.000InterestFinancing (% / month)700,345Net Per CycleCycle/Yr1700,345Net Per YearProduction Total (T)24.503ROI Table 5. Budget (XAF) for the basic pond aquaculture technology package applied to a 40 ha fish farm with low interest financing (XAF500 = 1 USD). QuantityUnit PriceTotal CostAmount% of TotalInvestmentamortization (yrs)Pond Construction (m)400,000001000Equipment100,000520,0000Stocking Tilapia800,0000000Catfish400,00012550,000,00050,000,00051OperationsFeed (kg)5800000Labour (person-days)16,0003,00048,000,00048,000,00049Transport (round trip)220,00040,00040,0000Total Production Costs (per cycle)98,060,000100RevenuesTilapia (kg)57,44870040,213,793Catfish (kg)40,5521,50060,827,586Productivity (kg/ha)101,041,379Capacity Anticipated2,4502,981,379Total Investment98,140,000Financing (% / month)1.5017,665,200Interest-14,683,821Net Per CycleCycle/Yr1-14,683,821Net Per YearProduction Total (T)98.00-15ROI Table 6. Budget (XAF) for the basic pond aquaculture technology package applied to a 2,500 m2 fish farm selling fish into urban markets (XAF500 = 1 USD). QuantityUnit PriceTotal CostAmount% of TotalInvestmentamortization (yrs)Pond Construction (m)2,500001000Equipment100,000520,0004Stocking Tilapia5,0000000Catfish2,500125312,500312,50063OperationsFeed (kg)20,0000000Labour (person-days)03,000000Transport (round trip)820,000160,000160,00032Total Production Costs (per cycle)492,500100RevenuesTilapia (kg)3591,500538,578Catfish (kg)2532,500633,621Productivity (kg/ha)1,172,198Capacity Anticipated2,450679,698Total Investment572,500Financing (% / month)0.000Interest679,698Net Per CycleCycle/Yr1679,698Net Per YearProduction Total (T)0.61119ROI Table 7. Budget (XAF) for an intensified pond aquaculture technology package applied to a 2,500 m2 fish farm selling 150 g tilapia into urban markets (XAF500 = 1 USD). QuantityUnit PriceTotal CostAmountPercent of TotalCapitalAmortization (yrs)Pond Construction (m)250010002500000108333310.06Equipment100000566670.80StockingFingerlings (number)75002518750018750022.63OperationsFeed (kg)1284.375250321093.75321093.7538.75Labour (person 8 hr days)100150015000015000018.10Transport (return trips to market)42000080000800009.65Total Production Costs (per cycle)828594100.00Revenues1284375Fish Sales (kg)8561500Capacity Anticipated (kg/ha)3425455781Total Investment3,338,594Financing (% per month)1.5200316Interest255466Net Per CycleCycles per Year3766397Net Per YearTotal Fish Production per annum (T)2.5722.96ROI DISCUSSION Many rural development interventions, including in aquaculture, have been devised to help small-scale farmers, and many have achieved short-term success, but few have achieved sustainability (Martinez-Espinosa 1997, Moehl et al. 2006); once subsidies are withdrawn, projects collapse (Lazard et al. 1991, Erskine 1997). To understand this, one needs to understand how African farming systems function. In Cameroon, field observations and discussion with farmers revealed that, in rural areas, aquaculture is normally viewed as a secondary activity, after staple crop production (cassava, plantains) (Harrison et al. 1994). A fishpond is similar to chickens, goats, vegetable production and a number of crops where the bulk is consumed by the household and surpluses sold locally, in contrast to crops grown exclusively for cash (e.g., tobacco, cotton, coffee, tea, cacao) (Sanders et al. 1996). Investments for such systems are low, permitting many farmers to take advantage of correspondingly low, but fairly reliable yields. Rather than making tradeoffs and taking risks by allocating all of the farm resources to the one or two most profitable enterprises and keeping the money in the bank to buy food as needed, rural small-scale farmers tend to diversify by growing a number of crops simultaneously (often in mixed plots), thereby spreading the food production capacity of the farm over the entire year. This also has the effect of lowering overall risk of crop failure and subsequent famine (Lazard et al. 1991, Brummett & Noble 1995, Sanders et al. 1996). The stability that comes from the complexity of the smallholder farming system in Africa makes it very difficult to change (Brummett 2002). Any reallocation of land, water, labour and/or capital to a new enterprise inevitably affects several or all other enterprises. Just as with natural ecosystems, feedback mechanisms tend to return any modified system to the previous equilibrium. Studies of smallholder farming systems in Asia have shown that a minimum improvement of 30% over existing technology is necessary to break out of this stasis (Gomez 1994). Without money to invest in revolutionary technology, the marginal and incremental improvements available for smallholders do not translate into large increases in farm profitability (Nerlove et al. 1996). Sustainably putting more cash in the hands of the rural poor so they can break out of the cycle of poverty requires economic growth. However, the many years of projects aimed at improving the efficiency of African artisanal food production systems have improved productivity and efficiency, but without markets that can turn these changes into cash that can be reinvested in hired labour, purchased inputs and expansion, significant increases in rural wealth are unlikely (Winkelman 1998, Kuyvenhoven and Ruben 2002). Most projects have relied on local (village) markets to consume excess production, many of which are cash-poor and rely heavily on barter, increasing social capital (of particular importance in African societies with little or no social security system) but doing little in terms of poverty alleviation. With no significant cash-flow being generated by the farm, there is no money to reinvest, bank or spend to create economic activity (Karim et al. 2006). The constraints to business in rural Africa are substantial: poor infrastructure, unskilled labour, high transport and input costs and low access to technical expertise (Robbins 2000), favouring larger scale investments that can absorb risk. However, economists have shown that faster and more equitable economic growth can be achieved with a larger number of smaller-scale investments than a few larger ones (Lustig et al. 2002). Calculating the minimum investment size at which a business can be profitable is a common practice and shows that in most cases, very small-scale businesses cannot make enough money to justify the necessary management investment (Kuyvenhoven and Ruben 2002). Careful business planning and investment at a profitable scale is essential if fish farms are going to achieve sustainability and make lasting contributions to rural economic growth in Africa. ACKNOWLEDGEMENTS The work reported here was supported by the UK Department for International Development under their Development of Integrated Aquaculture-Agriculture Systems for Small-scale Farmers in the Forest Margins of Cameroon project (NRE9800 605/522/003). REFERENCES Brummett, R. E. and R. P. Noble. 1995. Aquaculture for African smallholders. ICLARM Technical Report 46. WorldFish Center, Penang, Malaysia. Brummett, R. E. 2002. Realizing the potential of integrated aquaculture. In: N. Uphoff (ed). Agroecological Innovations: Increasing Food Production with Participatory Development. Earthscan, London. Brummett, R. E., D. Jamu, J. Jere and V. Pouomogne. 2004. A farmer-participatory approach to aquaculture technology development & dissemination. Uganda Journal of Agricultural Sciences 9(1):530-536. Erskine, J. M. 1997. Sustainability measures for natural resources. In: G. Shivakoti, G. Varughese, E. Ostrom, A. Shukla and G. Thapa (eds), People and Participation in Sustainable Development. Workshop on Political Theory and Policy Analysis, Indiana University, Bloomington, USA. Gomez, A. A. 1994. Research-extension linkage: an important component of technology transfer and adoption. Journal of the Asian Farming Systems Association 2(2):197-204. Harrison, E., J. A. Stewart, R. L. Stirrat and J. Muir. 1994. Fish farming in Africa whats the catch? Overseas Development Administration & University of Sussex, UK. Karim, M. M. Ahmed, R. K. Talukder, M. A. Taslim and H. Z. Rahman. 2006. Dynamic agri-business-focused aquaculture for poverty reduction and economic growth in Bangladesh. WorldFish Centre Discussion Series 1, WorldFish Centre, Penang, Malaysia. Kuyvenhoven, A. and R. Ruben. 2002. Economic conditions for sustainable agricultural intensification, pp. 58-70, in: Agroecological Innovations; increasing food production with participatory development (N. Uphoff, Ed.), Earthscan Publications, Ltd, London. Lazard, J., Y. Lecomte, B. Toma land J-Y Weigel. 1991. Pisciculture en Afrique subsaharienne. Ministre de la Coopration et du Dveloppement, Paris. Lustig, N, O. Arias and J. Rigolini. 2002. Poverty reduction and economic growth; a two-way causality. Sustainable Development Department Technical Paper POV-111, Inter-American Development Bank, Washington, DC. Martinez-Espinosa, M. (compiler) 1997. Report of the expert consultation on small-scale rural aquaculture. Fisheries Report 548. Food & Agriculture Organization of the United Nations, Rome. Moehl, J., R. E. Brummett, B. M. Kalende and A. Coche. 2006. Guiding principles for promoting aquaculture in Africa: benchmarks for sustainable development. CIFA Occasional Paper 28, Food & Agriculture Organization of the United Nations, Accra, Ghana. Nerlove, M., S. Vosti and W. Basel. 1996. Role of farm-level diversification in the adoption of modern technology in Brazil. Research Report 104. International Food Policy Research Institute, Washington, D.C. Robbins, P. 2000. Review of market information systems in Botswana, Ethiopia, Ghana and Zimbabwe. Technical Centre for Agricultural and Rural Co-operation (ACP-EU), Wageningen, The Netherlands. Sanders, J. H., B. I. Shapiro and S. Ramaswamy. 1996. The economics of agricultural technology in semiarid sub-Saharan Africa. Johns Hopkins University Press, Baltimore, Maryland, USA. Winkelmann, D. L. 1998. CGIAR Activities and goals: tracing the connections. Issues in Agriculture. The Consultative Group for International Agricultural Research, World Bank, Washington, DC, USA. Zar, J. H. 1974. Biostatistical analysis. Prentice Hall, Inc., Englwood Cliffs, New Jersey, USA.  Included primarily as a predator to control excessive tilapia reproduction.     PAGE 690 Small-Scale Aquaculture Business Planning in Cameroon PAGE 691 RANDALL E. 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