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other grains, iron and non-iron ores, oil and gas and meat products. Poor<br />

prospects are given to exports of wool, sheep, fishing, lightly processed<br />

wool and cotton, and iron and steel.<br />

For international tourism, the latest forecasts provided by the Tourism<br />

Forecasting Committee (TFC) were used. However, a downward<br />

adjustment for the effects of the GST was made. The introduction of a<br />

GST harms the export prospects of the tourism industries. Commodity<br />

exports will not be subject to a GST. On the other hand, foreign tourists<br />

will find that most of their purchases in Australia are subject to the GST.<br />

For tourists, the projections suggest that the foreign-currency price of<br />

their holidays in Australia will jump by about 3.5 per cent. Taking this<br />

into account the forecast rate of growth of tourism was adjusted from the<br />

TFC number of 7.4 per cent annual growth to the number shown in Table<br />

C.2, 6.0 per cent annual growth.<br />

Given the macro forecast for aggregate exports in Table C.1, the forecasts<br />

for traditional exports and tourism exports shown in Table C.2, the<br />

model deduces an average growth rate for the volume of non-traditional<br />

exports. Volumes of these exports are forecast to grow at an average<br />

annual rate of 6.3 per cent. This is less than the average growth rate of<br />

recent years. However, non-traditional export volumes have now reached<br />

a level that makes continued growth at such high rates unlikely.<br />

C.2.3 Assum<strong>pt</strong>ions for changes in technology and tastes<br />

(Table C.3)<br />

Table C.3 shows assum<strong>pt</strong>ions for changes in the preferences of households<br />

and in the production technologies of industries, divided into 22 sectors.<br />

These are aggregations of the preference and technology assum<strong>pt</strong>ions<br />

introduced to MONASH at its full level of disaggregation, i.e. at the level<br />

of 112 industries and 114 commodities. 28 The detailed input, shown in<br />

Appendix Table D.1, are extrapolations of trends calculated from a<br />

MONASH simulation for the period 1986–87 to 1993–94.<br />

28 MONASH recognises two more commodities than industries. Outside of the agricultural sector there is<br />

a one-to-one relationship between industries and commodities. For agriculture, the model makes<br />

explicit allowance for multi-product industries, with seven agricultural industries producing nine<br />

agricultural commodities.<br />

67

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