The ABARES bilateral trade decomposition model: Technical annex to ABARES report 'South America: an emerging competitor for Australia's beef industry'

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Created 12/06/2018

Updated 13/11/2024

This technical annex provides a description of the quantitative economic model used in the report South America: an emerging competitor for Australia's beef industry. The report focuses on the beef industries of Brazil, Argentina, Uruguay, Paraguay and Australia. There are two objectives. The first is to assess the main drivers behind growth of beef exports from each country between 2000 and 2014. The second is to project the value of beef exports between 2014 and 2030 under scenarios reflecting hypothetical and actual changes to policies and operating environments.

A bilateral trade decomposition model was designed to quantify the historical drivers of beef exports from Australia and its major competitors in South America, with the aim of drawing implications for projections of future bilateral trade flows. Projections are developed for the period from 2014 to 2030 that are indicative of the prospects for both regions to expand their exports under three policy scenarios.

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Field Value
Title The ABARES bilateral trade decomposition model: Technical annex to ABARES report 'South America: an emerging competitor for Australia's beef industry'
Language English
Licence Creative Commons Attribution 4.0 International
Landing Page https://devweb.dga.links.com.au/data/dataset/2ec738a9-5279-496f-ad70-d7d6a3868780
Contact Point
Australian Bureau of Agriculture and Resource Economics and Sciences
dataman@agriculture.gov.au
Reference Period 16/12/2016
Geospatial Coverage Australia
Data Portal data.gov.au

Data Source

This dataset was originally found on data.gov.au "The ABARES bilateral trade decomposition model: Technical annex to ABARES report 'South America: an emerging competitor for Australia's beef industry'". Please visit the source to access the original metadata of the dataset:
https://devweb.dga.links.com.au/data/dataset/pb_abtdm9aat_20161216

No duplicate datasets found.