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Bananas and Food Security - Bioversity International

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42 Les productions bananières / <strong>Bananas</strong> <strong>and</strong> food security – Session 1<br />

the apparent per capita consumption increased from 22.35 kg/year (1973 to 1979<br />

average) to 24.10 kg/year (1990 to 1997 average). Data from FAO indicate the Brazilian<br />

per capita consumption of banana in 1995 was around 35 kg/year. On the other h<strong>and</strong>, the<br />

data in table 1 suggest that the per capita consumption in that year was 35 kg. This can<br />

be explained by the fact that FAO statistics do not consider post-harvest losses.<br />

In order to calculate annual banana yield losses, as shown in table 1, a constant loss<br />

of about 40% was assumed, as observed in 1973 (Mascarenhas 1997). In Brazil, banana<br />

yield losses are higher in the northern <strong>and</strong> north-eastern regions where the banana crop<br />

is grown under low production technology <strong>and</strong> the growers are less organised.<br />

In the southern <strong>and</strong> south-eastern regions, yield losses are lower. In those regions the<br />

structure of banana production <strong>and</strong> marketing is much more organised than in the<br />

north-east. This is due mainly to the way the banana crop was introduced in each of<br />

those regions. For example, the state of Bahia, located in the north-east region, is the<br />

biggest banana producer in Brazil. The banana crop in that state was introduced as a<br />

shade crop for cacao. Often growers do not harvest the bananas because cacao is their<br />

main crop. In the south <strong>and</strong> south-east regions, especially in the Ribeira Valley (State of<br />

São Paulo), <strong>and</strong> in the state of Santa Catarina, banana growers use high technology<br />

levels, including chemical control of yellow Sigatoka by aerial spraying.<br />

As stated before, in the southern <strong>and</strong> south-eastern states, the post-harvest losses of<br />

banana fruit are lower than those observed in the northern <strong>and</strong> north-eastern states,<br />

where post harvest losses are higher than 40%. According to Souza et al. (1995), in the<br />

state of Santa Catarina the average post-harvest yield loss is around 34%. These losses<br />

are distributed as follows: during harvest (more than 5%); during packing (more than<br />

2%); at the wholesale market (from 6 to 10%); at the retail market (from 10 to 15%); <strong>and</strong><br />

at consumer level (from 5 to 8%). Souza et al. (1995) draw attention to the fact that banana<br />

yield losses are higher during the warmer months. They also mention that yield<br />

losses may vary depending on the season, distance from the plantation to the consumer,<br />

type of packing <strong>and</strong> method of transportation.<br />

Table 2 shows a prediction of supply of <strong>and</strong> dem<strong>and</strong> for banana fruit in Brazil for the<br />

period 2000 to 2005. Seven scenarios are reported. The first scenario uses the time trend<br />

of the series to make supply <strong>and</strong> dem<strong>and</strong> projections. All the other scenarios utilise<br />

income elasticity of dem<strong>and</strong> as an important parameter to project the dem<strong>and</strong> side. The<br />

possibility of increasing <strong>and</strong>/or maintaining the Gross Domestic Product (GDP) per<br />

capita is considered.<br />

It can be seen that excess of dem<strong>and</strong> would only occur if the projections were based<br />

upon the time trend of the series or when an increasing rate, equal to or higher than<br />

2.5% per year of the GDP per capita, is assumed. The projection based on the time trend<br />

of the series shows a 36,000 metric ton deficit of supply by the year 2005. On the other<br />

h<strong>and</strong>, projections based on income elasticity of dem<strong>and</strong>, assuming an increasing rate of<br />

2.5% <strong>and</strong> 3.0% per year of the GDP per capita, indicate deficits around 81,000 <strong>and</strong><br />

240,000 metric tons, respectively.<br />

Mascarenhas (1997) points out that some qualifications must be made regarding the<br />

supply projections based purely on the time trend of the series. One important point is

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