Phase 2. Data processing.
AGROS system allows, first of all the recruitment of data belonging to the first polls and
the recording of the last surveys to the poll. From that moment there is a general data base fed
with elaborated information from data obtained in surveys taken during the crop years 1990/91,
1993/94, 1999/2000 and 2000/2001. Its structure is normalized in a conventional way according
to international rules to optimize the software output.
Phase 3. AGROS system implementation.
To design the system it was selected the method known as: pattern development. This way to
operate warrants quick results that user can handle in a very short period of time. To make
operative this design strategy it is needed a tool which allows Rapid Application Development -
RAD-, in this case Microsoft FoxPro 6.2® was selected. It is a tool always considered strong,
reliable and qualified to manage great quantity of data (much more than data bases of AGROS
system) with great efficiency in the consumptiom of computer resources.
AGROS system implementation help us:
• To generate a new data base containing socioeconomic situation of Andalusian farms in
the four crop years investigated and evolutive analysis of them.
• To estimate future scenaries with new situations of socioeconomic structure of these farms
if changes that could affect them were produced (changes in the Common Agrarian Policy,
for example in the olive oil common market organisation; changes in the consumption of
different inputs; changes in prices and so on). Once changes paramenters are estimated, the
system takes them and simulates the new socioeconomic situation of the farms according
to the changes that have taken place.
• To establish theoretical comparison horizons. The system makes possible to generate a
data base that can design, develop and analyse theoretical agrarian farms, or based in the
knowledge, with a structure according to the specific wishes of the user of AGROS
system. It is conditioned by its aim. It has been created to make technical-theoretical
horizons -no real farms whose operations are described by the user- that allow the
comparison with a real structures obtained from the surveys analysis.
Phase 4. Evolutions and simulation results.
This system creates files with results that allow the socioeconomic analysis of olive tree
farmings during the four years studied (that corresponds to the first part of the results of this
paper). Results files, were analysed with conventional statistics software (SPSS). It also makes
possible to measure the effects of the new common market organisation (CMO) of olive oil over