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PDF: 1336 KB - Bureau of Infrastructure, Transport and Regional ...

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The OECD countries remain the main markets for Australia’s non-containerisedexports. In 2002-03, Australia exported 343 million tonnes <strong>of</strong> non-containerisedcommodities (or 67 per cent <strong>of</strong> Australia’s total non-containerised exports) to the OECDcountries. In other words, the economy <strong>of</strong> the OECD has a significant influence onAustralia’s overall non-containerised exports. However, this may or may not be true atthe port level. This is because main export commodities <strong>and</strong> destination countries arelikely to differ by port.In the case <strong>of</strong> Melbourne <strong>and</strong> Adelaide ports, the OECD countries are found to be themain destinations. Hence, the real GDP <strong>of</strong> the OECD countries is used as proxy for theincome variable in the model <strong>of</strong> Melbourne <strong>and</strong> Adelaide ports. On the other h<strong>and</strong>,Japan is observed to be the main destination for non-containerised exports fromBrisbane <strong>and</strong> Fremantle ports. Nearly 65.8 per cent <strong>of</strong> Brisbane’s total noncontainerisedexports <strong>and</strong> 21.4 per cent <strong>of</strong> Fremantle’s total non-containerised exportswent to Japan in 2002-03. Hence, the real GDP <strong>of</strong> Japan is used as proxy for the incomevariable in the model <strong>of</strong> Brisbane <strong>and</strong> Fremantle ports.The volume <strong>of</strong> non-containerised exports from Sydney Ports is relatively small <strong>and</strong> hasbeen declining since 1997-98. As a result, a positive relationship between real incomelevel <strong>and</strong> the volume <strong>of</strong> Sydney’s non-containerised exports could not be observedthrough the estimated model parameters. Therefore, the income variable is dropped inthe model <strong>of</strong> Sydney Ports.The non-containerised export model is estimated using eleven years <strong>of</strong> historical data,from 1993-94 to 2003-04. The estimated regression results are presented in Table I.5(Appendix I) <strong>and</strong> the estimated dem<strong>and</strong> elasticities are summarised in Table 2.6. Theresults indicate that the model is a relatively good fit with the adjusted-R-square valuevarying from 0.51 to 0.97. The income variable is observed to be significant in the case<strong>of</strong> Melbourne, Adelaide, Fremantle <strong>and</strong> all ports; <strong>and</strong> the exchange rate variable isfound to be highly significant in the case <strong>of</strong> Brisbane, Melbourne <strong>and</strong> Adelaide ports.TABLE 2.6 ESTIMATED ELASTICITY OF NON-CONTAINERISED EXPORT DEMANDPortIncomeelasticityExchange rateelasticityTime trendelasticityBrisbane 0.142 -0.152 NSSydney NS -0.216 -0.124Melbourne 0.581 -0.684 NSAdelaide 1.481 -0.752 NSFremantle 1.544 NS -0.015All ports 1.934 -0.068 NSNS = Not statistically significant.The estimated values <strong>of</strong> income elasticity imply that a one per cent increase (decrease)in per capita real income will result in a 0.1 per cent increase (decrease) in the volume<strong>of</strong> non-containerised exports in Brisbane, 0.6 per cent in Melbourne, 1.5 per cent inAdelaide <strong>and</strong> Fremantle <strong>and</strong> 1.9 per cent in all ports. Similarly, a one per centdepreciation <strong>of</strong> the Australian dollar will lead to an increase in non-containerised16

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