Nesa identified Issues: Strait of Hormuz



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2.4Economic modelling


This report examines the economic impacts of the shock scenarios at the aggregate level for the Australian economy. An assessment of the regional impacts is beyond the scope of this project. The scenarios were divided into weekly segments. The research undertaken for this report revealed the importance of speculative (including precautionary) demand and its impact on the oil price in the weeks leading up to and after the disruption (see Appendix C).

ACIL Tasman used its computable general equilibrium (CGE) model of the Australian and world economies, Tasman Global, to estimate the economic impacts of the proposed supply shock. CGE models mimic the workings of the economy through a system of interdependent behavioural and accounting equations which are linked to an input-output database. These models provide a representation of the whole economy, set in a national and international trading context, using a ‘bottom-up approach’ – starting with individual markets, producers and consumers and building up the system via demands and production from each component.

When an economic shock or change to economic conditions, such as different rates of mining industry growth, is applied to the model, each of the markets adjusts to a new equilibrium according to the set of behavioural parameters which are underpinned by economic theory.

The current Tasman Global database is based on the GTAP v8 database and contains 128 international regions plus a detailed regional representation of the Australian economy. The database was aggregated to the 39 commodities and 11 regions presented in Table .



Table Tasman Global commodity and region aggregation




Commodities







1

Crops

21

Textiles, clothing, footwear

2

Livestock

22

Wood, pulp and paper

3

Forestry

23

Fabricated metal products

4

Fishing

24

Transport equipment and parts

5

Processed food

25

Electronic equipment

6

Coal

26

Machinery and equipment nec

7

Oil

27

Other Manufacturing

8

Gas

28

Water

9

Electricity

29

Construction

10

Petroleum & coal products

30

Trade services

11

Iron & steel

31

Other transport

12

Liquefied natural gas (LNG)

32

Water transport

13

Iron ore

33

Communication

14

Bauxite

34

Financial services nec

15

Other mining

35

Insurance

16

Alumina

36

Other business services

17

Primary aluminium

37

Recreational and other services

18

Nonferrous metals

38

Government services

19

Nonmetallic minerals

39

Dwellings

20

Chemicals, rubber, plastics










Regions







1

Australia

7

Middle East c

2

China

8

European Union 27 a

3

India

9

United States and Canada

4

Japan

10

Rest of Asia

5

Korea, Republic of

11

Rest of World

6

Other ASEAN b







a European Union 27 comprises Austria, Belgium, Bulgaria, Cyprus, Czech Republic, Denmark, Estonia, Finland, France, Germany, Greece, Hungary, Republic of Ireland, Italy, Latvia, Lithuania, Luxembourg, Malta, the Netherlands, Poland, Portugal, Romania, Slovakia, Slovenia, Spain, Sweden and the United Kingdom.

b Other Association of South East Asian Nations comprises Brunei Darussalam, Cambodia, Indonesia, Laos, Malaysia, Myanmar, the Philippines, Singapore, Thailand and Viet Nam. Timor Leste is also included as it is not separately identified in the GTAP database.

c Bahrain, Iran (Islamic Republic of), Iraq, Israel, Jordan, Kuwait, Lebanon, Palestinian Territory, Occupied, Oman, Qatar, Saudi Arabia, Syrian Arab Republic, United Arab Emirates, Yemen.

Note: nec = not elsewhere classified.

Data source: ACIL Tasman

The database was updated to 2 February 2012 using the model, ensuring that energy demand by fuel by industry by region closely matched the most recent available annualised production, consumption, trade and price data. Two alternative representations of the Australian and world economies were created: one with seven oil refineries operating in Australia and one with only four refineries operating.

The sequence of converting the supply shock scenarios into economic effects involved four steps as illustrated in Figure . The first step was to estimate the supply shock for each week of the shock period. The second step was to estimate the percentage impact on crude oil prices using the elasticity estimates for each week. The third step was to shock the reference cases in the CGE model with the estimated crude oil price increases and report the effects as changes in economic aggregates such as GDP or aggregate income.

Figure Economic assessment sequence





Source: ACIL Tasman.

Under this process the model had to run in weekly rather than annual periods. The databases were therefore converted to allow model runs in weekly time increments for the various scenarios.

The economic impacts for the shock scenarios were then compared with the relevant reference or base cases. The comparison is illustrated in Figure .

Figure Illustrative scenario analysis using Tasman Global





Source: ACIL Tasman



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