Agricultural bilateral trade agreements between South Africa and the European Union : implications for the South African fresh orange industry.
Date
2000
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Abstract
During October 1999 South Africa and the European Union (EU) signed the "Agreement on
Trade, Development and Co-operation". This agreement includes a Free Trade Agreement
(FTA) which will lead to a free trade area between both partners. The framework for a FTA
is set by the World Trade Organization (WTO). This study focuses on the effects of the FTA
on the South African fresh orange industry. Fresh oranges account for approximately ten
percent of South African agricultural exports. On the other hand, South Africa is the second
largest external supplier to the EU and dominates the EU off-season. Fresh oranges are only
included in the FTA from June until September and tariffs are reduced by approximately
three percent in this time which is the peak South African export season.
A trade simulation model was developed using the programme STELLA to analyse the
effects of the FTA on the South African fresh orange industry. The trade simulation model
consists of seven sub-models for production according to region and cultivar; a local market
model, an export market model and an exchange rate model. The production models run on
an annual basis whereas the other sub-models run on a monthly basis to capture the
seasonality in fresh orange trade. The simulation period lasts from 1997 until 2011, hence
fifteen years.
The production models use gross margins according to the age of the orchard. The annual
production is divided into monthly production on the basis of industry information. The
South African demand function in the local market model uses the consumption per person,
the export price and trend as independent variables. A trend variable is included to cater for
the change in consumer preferences, especially, the move from oranges towards easy-peelers.
On the EU market, prices are seen as external variables, except for the months July until
October when the South African market share exceeds 50 percent. During these months an
import demand flexibility is derived on the basis of the South African market share. The
exchange rate model derives from the purchasing power parity between the South African
Rand and the Euro.
Simulation model results indicate that the FTA is beneficial for South African producers
while South African consumers may also benefit. Further producers are expected to benefit
from a slight increase in real free-on-board prices and a slight increase in total production.
South African consumers are expected to benefit from a simulated decrease in real local
prices due to the predicted increase in production. The effects on the EU market are simulated
to be even smaller. A slight increase in EU prices is simulated during South Africa's peak
export season which is the EU off-season. Results for regional production areas in South
Africa show that during the simulation period the area under Valencias increases strongly
whereas the area under Navels decreases.
A comparison with a scenario without any EU tariffs was carried out to estimate the total
distortion effect of EU protection on the South African market. Both South African
consumers and producers benefit in the scenario without EU tariffs. The results of the
simulation indicate that the total effect of EU tariffs is relatively small. Predicted total South
African orange production increases by 14.8 percent over the simulation period compared to
9.1 percent in the scenario without any preferential treatment. The difference in other results
is even smaller. The FTA reverts only parts of the distortion effect of EU protection. There
are still some further possibilities to reduce the effects of EU protection on the South African
fresh orange industry.
Description
Thesis (Ph.D.)-University of Natal, Pietermaritzburg, 2000.
Keywords
Oranges--Economic aspects--South Africa., Citrus fruit industry--South Africa., Exports--South Africa., European Union--Foreign economic relations--South Africa., Theses--Agricultural economics.